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BlinkLab to Participate in the Landmark Monash University Autism/ADHD MAGNET Project
BlinkLab Limited (ASX:BB1) (“BlinkLab” or the “Company”), an innovative digital healthcare company developing smartphone-based AI powered diagnostic tests for neurological conditions, is pleased to announce their participation in the landmark MAGNET (Monash Autism & ADHD Genetics and Neurodevelopment) study conducted by Monash University’s School of Psychological Sciences.
Link: https://molecularautism.biomedcentral.com/articles/10.1186/s13229-021-00457-3
Highlights
- The MAGNET project is an ongoing large cohort study aiming to enrol 1,000 families with children diagnosed with only autism, only ADHD, or with both autism and ADHD.
- MAGNET is utilising a novel family-based trial design where the parents, affected child and siblings (either affected or unaffected) are all enrolled in the same study.
- The aim of the study is to identify novel data-driven autism and ADHD subtypes using deep phenotyping data, including the BlinkLab Dx 1 biomarkers, that may outperform current categorical diagnoses with potential future implications for better and more personalised autism and ADHD diagnosis and treatment.
The project will help to unravel the complex symptoms of autism and Attention Deficit Hyperactivity Disorder (ADHD), and why they overlap in some children. The data generated by the study will address several limitations of categorical conceptualisations of these conditions. It is an important step towards a more dimensional understanding of their psychopathology, leading to better diagnostic models and more personalised support for children diagnosed with autism and/or ADHD. Using BlinkLab Dx 1, we aim to complete comprehensive deep sensory phenotyping of subjects with only autism, only ADHD, or with both autism and ADHD from the large MAGNET cohort.
Significance of the Study
Autism and ADHD are neurodevelopmental conditions affecting 1-4% and 5-7% of the population, respectively. Autism is characterised by deficits in social communication, restricted and repetitive patterns of behaviour and interests and altered sensory processing, whereas ADHD is defined by hyperactivity, impulsivity and inattention. In autism, 30-80% of cases exhibit ADHD symptomatology. In ADHD, 20-50% of cases exhibit autism symptoms.
The introduction of the DSM-5 has allowed, for the first time, the concurrent diagnosis of autism and ADHD and the two conditions are now recognized to co-occur in up to 50% of cases. This co-occurrence can be associated with a more severe ADHD phenotype and higher treatment needs overall. DSM-5 is a comprehensive classification system published by the American Psychiatric Association (APA). It serves as the authoritative guide used by healthcare professionals to diagnose mental disorders.
Prepulse inhibition (PPI) is a key measure used in BlinkLab Dx 1 and is considered an effective proxy for sensorimotor gating - the brain's ability to filter out irrelevant information and prioritise what is relevant. Deficits in PPI have been observed in individuals with autism but not in those with ADHD, suggesting its potential as a tool to differentiate between these two conditions. Clinically, this distinction is crucial, as treatment, support, and care strategies differ significantly for individuals with only autism, only ADHD, or with both autism and ADHD. There is also little known about the extent to which any deficits in PPI extend to the undiagnosed family members of children with autism, ADHD, or with both autism and ADHD. The diagnostic process for these neurological conditions is time-consuming and expensive and they are both characterised by significant heterogeneity in presentation. Objective behavioural markers, like PPI, potentially will play an important role in the next generation of diagnostic pathways and personalised interventions.
Dr. Henk-Jan Boele, CEO BlinkLab, commented: “Participation in the MAGNET study will enable BlinkLab to assess how its digital biomarkers, including the PPI measure, correlate with other validated behavioural, neurocognitive, neuroimaging and, potentially, genetic markers. Using these deep phenotyping and machine learning techniques, we expect to uncover novel, homogeneous data-driven clusters and subtypes of these diseases with significant future implications for better and more personalised autism and ADHD diagnosis and treatment.”
Study Design
The MAGNET study will enrol approximately 1,000 families with children aged between 4 and 18 years of age. The study will incorporate the BlinkLab PPI measure to determine how prepulse inhibition measures vary within the different diagnostic categories (i.e. ADHD vs autism vs ADHD+autism). The results will show whether BlinkLab’s Dx1 platform can distinguish between these groups. BlinkLab Dx 1 platform will be assessed alongside other validated questionnaires and biomarkers used in the MAGNET project. A unique feature of the study design is that tests will be carried out with the diagnosed child and their family members. The data from both parents (wherever possible) will determine the degree to which BlinkLab can detect performance variation within families, and thus can serve as a proxy for familial risk for these conditions.
“From the very foundation of our technology, the BlinkLab mission was always to disrupt the traditional methods of diagnosis and categorisation of psychiatric and neurodevelopmental conditions. Using more objective methods will lead to more personalised treatments and interventions. Participation in this landmark study with world- leading researchers and authorities in the field of autism and ADHD, is a testament to our mission and hard work by our team,” commented CEO of BlinkLab, Dr Henk-Jan Boele.
Lead researcher Professor Mark Bellgrove of Monash University’s School of Psychological Sciences said that he is delighted to collaborate with BlinkLab on the MAGNET study. “BlinkLab’s innovative digital technologies make it easy for the children and families enrolled in the study to provide critical data. This will hopefully lead to better outcomes for future families and children affected by these two complex and challenging conditions.”
Click here for the full ASX Release
This article includes content from Blinklab Limited, licensed for the purpose of publishing on Investing News Australia. This article does not constitute financial product advice. It is your responsibility to perform proper due diligence before acting upon any information provided here. Please refer to our full disclaimer here.
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BlinkLab’s transformative AI-based healthcare technology is at the forefront of innovations in the global medical field that are quickly gaining traction among keen investors.
Overview
BlinkLab (ASX:BB1) offers a smartphone-based diagnostic platform that leverages computer vision, artificial intelligence (AI) and machine learning (ML). A company started by neuroscientists at Princeton University, Blinklab has developed its novel technology over several years, providing an app-enabled, smartphone-based diagnostic tool for evaluating children with neurodevelopmental conditions such as autism and ADHD.
The app turns a smartphone into a diagnostic tool that helps to conduct remote and rapid tests that can assist in diagnosing neurodevelopmental conditions. BlinkLab’s smartphone app provides a screening tool that can help with diagnoses much earlier than the age that children are typically assessed at present (approximately 5-6 years old). It is also a remote (i.e., accessible) and inexpensive means of beginning the assessment process, which can typically be very costly and take up to multiple years currently.
BlinkLab’s smartphone app facilitates early diagnosis, reduces costs, and improves accuracy.
BlinkLab’s smartphone-based technology, which uses AI and machine learning (ML), makes it attractive to investors. Like other industries, AI is becoming very popular in the healthcare sector. According to Statista, the AI healthcare market is expected to proliferate from $11 billion in 2021 to $187 billion in 2030. The increasing use of AI is driven by advanced ML algorithms, access to data, and use of 5G technology. AI and ML technologies can evaluate and analyze enormous volumes of data faster than humans.
Artificial intelligence, and particularly machine learning, has the potential to serve as the great equaliser for many behavioural healthcare concerns like autism. According to recent data, 97 percent of adults in the United States own a cellular device, and nine in ten own a smartphone. A 2022 Global State of Digital report by We Are Social shows 66.9 percent, or about 5.34 billion, of the world’s population are mobile users. As these percentages continue to rise and internet-powered devices become ubiquitous, access to digital health services can become democratised on a global scale. While autism spectrum disorder (ASD) services are currently restricted to relatively privileged populations, digital solutions powered by emerging data, science, and methodologies can make access to autism therapy more accessible.
Large players are investing in this segment to tap into the vast potential of these new technologies. One such example was Pfizer’s acquisition of ResApp. In October 2022, Pfizer acquired Queensland University startup ResApp Health for $179 million. ResApp developed a smartphone technology to detect respiratory diseases using cough analysis accurately.
Furthermore, big tech companies such as Apple, Amazon, Microsoft and Alphabet are also now venturing into the AI healthcare market.
Company Highlights
- Australia-based BlinkLab (ASX:BB1) is focused on transforming mental healthcare through an AI-enabled smartphone application, a breakthrough technology developed with Princeton University.
- The company’s innovative approach leverages the power of smartphones, AI and machine learning to deliver screening tests specifically designed for children as young as 18 months old. This marks a significant advancement, considering traditional diagnoses typically occur around five years of age, often missing the crucial early window for effective intervention.
- Once approved by regulators, this cutting-edge digital technology is poised to capture the imagination of both investors and major pharmaceutical companies, eager to embrace transformative solutions in healthcare.
- BlinkLab is led by an experienced management team and leading experts in the field of machine learning, autism and brain development, bridging the most advanced technological innovations with groundbreaking scientific research. The company is chaired by Brian Leedman, an experienced biotechnology entrepreneur and founder of ResApp Health, a digital diagnostic company recently acquired by Pfizer.
Key Technology and Applications
Neurobehavioral assays of brain function can reveal fundamental mechanisms underlying neuropsychiatric conditions, but typically require centrally located equipment in a laboratory test facility. Consequently, these tests are often unpleasant for participants, as they often require instruments attached to their face and cannot be used at scale in daily clinical practice, particularly with paediatric patients.
BlinkLab has developed a smartphone-based software platform, known as ‘BlinkLab Test’, to perform neurobehavioural testing that is free from facial instruments or other fixed location equipment.
This AI-based platform is designed to be used at home or in similarly comfortable environments, either independently or with the assistance of a caregiver, while following instructions from the smartphone application. The tests include, but are not limited to, eyeblink conditioning (EBC), which is a form of sensory-motor associative learning, prepulse inhibition of the acoustic startle response (PPI), which measures the ability to filter out irrelevant information through sensorimotor gating, startle habituation, which measures the ability for the intrinsic damping of repetitive stimuli and sensory adaptation, and habituation of the eye blink response, which serve as biomarkers for neurological and psychiatric disorders.
The BlinkLab Test App combines a smartphone’s ability to deliver stimuli and acquire data using computer vision with a secure cloud-based portal for data storage and analysis. In the tests, each audio and/or visual stimulus is presented with millisecond-precise control over parameters such as timing, amplitude and frequency. To maintain participant attention, an entertaining movie of choice is shown with normalised audio levels. Participants’ responses are measured by the smartphone’s camera and microphone, and are processed in real time using state-of-the art computer vision techniques. Response data is then fully anonymised, and transferred securely to the analysis portal. There, BlinkLab’s in-house AI/ML algorithms then perform clustering and statistical analysis to identify the prediction value of the experiment in the particular data set.
BlinkLab Test was initially developed as a prescription diagnostic aid to healthcare professionals (HCP) considering the diagnosis of ASD in patients 18 months through 72 months of age that are at risk for developmental delay. In collaboration with Princeton University in the United States and Erasmus Medical Center in the Netherlands, the company has conducted several trials using BlinkLab Test as an early assessment tool for autism. Autism represents a global challenge, with 1 in 36 children in the U.S. having autism, up from the previous rate of 1 in 44. With no early tests currently available to detect the condition, many children are diagnosed with the condition as late as the age of five.
Blinklab’s mobile app can aid in early detection, facilitating diagnoses as early as two years of age and resulting in earlier personalised interventions and monitoring. The testing process is also far more comfortable than traditional means of diagnoses, as the child can watch their favourite movie or cartoon on the phone, and the app will record their reactions, providing key information on the functioning of the brain.
BlinkLab will be subject to regulatory oversight as a medical device and must clear clinical studies. Previous clinical trials completed by Blinklab have shown impressive indicators of success, achieving sensitivity levels of 85 percent and specificity levels of 84 percent. The company notes that these trials are very similar to those that are required by the United States Food and Drug Administration (FDA) for approval and have shown much higher levels of accuracy compared to currently approved products.
In order for the BlinkLab Test technology to be used as a clinical aid in the diagnosis of ASD, BlinkLab will need to complete a pivotal registrational study, and subsequently apply for FDA registration and reimbursement for the tests. The registrational study intends to recruit up to 500 subjects. Enrolment for this study is expected to begin in 2024, with study completion expected by mid-2025. The potential to participate in a disruptive and scalable AI-powered technology close to regulatory approval should attract attention from big medical technology companies.
Research and clinical studies
BlinkLab engages and partners with research and medical institutions across the globe to further test and develop its technology.
In May 2024, BlinkLab initiated a clinical study in partnership with US-based Turning Pointe Autism Foundation to enroll up to one hundred children previously diagnosed with autism and one hundred children without an autism diagnosis. The data obtained during this collaboration will be used to finalise the data collection and processing algorithms and AI/ML models ahead of the FDA registrational study.
The company is also participating in a clinical study of patients with spinocerebellar ataxias, conducted by Columbia University, New York, to study the effect of aerobic physical exercise on neuroplasticity in adults with spinocerebellar ataxias (SCA).
To further improve and accelerate the diagnostic evaluation of ADHD, BlinkLab forged a major research and clinical partnership with Mental Care Group (MCG) in The Netherlands, the fifth largest outpatient mental health care provider in Europe.
To validate BlinkLab’s platform for the assessment of functional neurological disorder (FND), the company has partnered with Bates College in Maine for a clinical study that aims to characterise the behavioural time course of Pavlovian eyeblink conditioning and acoustic startle habituation. It will validate the BlinkLab smartphone test for use as a remote neurobehavioral testing and diagnostic tool for FND.
At Erasmus University Medical Center, BlinkLab’s smartphone-based remote assessment, including eyeblink conditioning and prepulse inhibition of the acoustic startle reflex, is being used, among other tools, in a clinical study to set-up an overarching at-home testing lab, named the Digital Dementia Lab, to identify, develop and test a variety of digital biomarkers
measuring clinically relevant behaviour for improving early accurate diagnosis of dementia.
BlinkLab is also working with Monash University in Australia to evaluate BlinkLab as a medical device for monitoring the therapeutic effects of ketamine on cognitive processes whereby sensory information is converted into decision making. Results from this study can help facilitate cognitive behavioural therapy outcomes in patients with psychiatric conditions such as depression, schizophrenia, epilepsy, and post-traumatic stress disorder.
BlinkLab also recently signed a partnership for more clinical trialling with INTER-PSY, a large centre in the Netherlands that specialises in autism, offering assistance with diagnostics and treatments. This study also mirrors the study design of the Company’s developing FDA regulatory trial, which will be needed for future approval of BlinkLab Test as an approved diagnostic tool in the United States.
Management Team
BlinkLab is led by an experienced management team and directors with a proven track record in building companies and vast knowledge in digital healthcare, computer vision, AI and machine learning. The company’s chairman, Brian Leedman, is an experienced biotechnology entrepreneur and founder of ResApp Health, a digital diagnostic company for respiratory conditions, which was recently acquired by Pfizer for $179 million before reaching FDA approval for their main diagnostic product.
Dr. Henk-Jan Boele – Founder and Chief Executive Officer
Henk-Jan Boele is an assistant professor of neuroscience at the Medical Center of Erasmus University and a researcher at Princeton University. He obtained his PhD from Erasmus University in 2014. Boele has always been pushing scientific and methodological boundaries, and received numerous government and industry grants in the field of neuroscience.
Peter Boele – Founder and Chief Technology Officer
Peter Boele holds a bachelor’s degree in history and philosophy from Leiden University. He has over 20 years of experience in software development and has worked with Erasmus University, Leaseweb, Kaboom Informatics and Insocial.
Dr. Anton Uvarov – Founder and Chief Operational Officer
Anton Uvarov holds a Ph.D. from the University of Manitoba and an MBA from the Haskayne School of Business. He has rich experience in bio-technology investments with a particular focus on neuroscience and has successfully led several IPOs. He started his career as a biotechnology analyst with Citigroup, US.
Dr. Bas Koekkoek – Founder and Chief Scientific Officer
Bas Koekkoek is an assistant professor at Erasmus Medical Center. Koekkoek has been working at the Department of Neuroscience mainly in the role of rapid prototype of new technology and techniques for neuroscience. He has numerous publications in the area of brain development including Nature and Science journals.
Professor Sam Wang – Founder and Chair of Advisory Board
Sam Wang holds a PhD from Stanford University. He is a professor of neuroscience at Princeton University, has published over 100 articles on the brain in leading scientific journals and has received numerous awards. He gives public lectures on a regular basis and has been featured in The New York Times, The Wall Street Journal, NPR, and the Fox News Channel.
Professor Chris de Zeeuw – Founder and Scientific Advisor
Chris de Zeeuw is chairman of the Department of Neuroscience at Erasmus MC in Rotterdam and vice-director at the Netherlands Institute for Neuroscience in Amsterdam. De Zeeuw has received over 100 grants, including the Pioneer Award from ZonMw and the ERC advanced grant. In 2006, he received the Beatrix Award for Brain Research from Her Majesty the Queen; in 2014, he became an elected member of the Dutch Academy of Arts & Science; and in 2018, he received the international Casella Prize for Physiology.
Tech 5: Big Tech Players Release Latest Results, Super Micro Shares Plummet
Wall Street had a mixed week, with indexes rising early in the week but closing lower on Thursday (October 31) due to concerns about rising AI costs and weak economic data.
Despite a weaker-than-expected US jobs report on Friday (November 1), the market opened higher, helped by a strong earnings report from Amazon (NASDAQ:AMZN), which closed a week of earnings reports by showing a massive spike in profits from its cloud and AI businesses.
Market watchers are now looking ahead to election results on November 5 and the US Federal Reserves rate cut next week. Stay informed on the latest developments in the tech world with the Investing News Network's round-up below.
1. Bitcoin teases all-time high
Bitcoin recovered over the weekend from a dip last Friday, climbing above US$69,000 by Monday (October 28), fueled by growing optimism that Donald Trump will win the upcoming election, as reflected in his favorable odds on betting platforms. This surge widened Bitcoin’s dominance to almost 60 percent, its highest since March 2021, fueled by strong ETF inflows.
The rally continued Tuesday (October 29), pushing Bitcoin past the elusive US$70,000 it had been stuck beneath for weeks to US$71,540. By Wednesday (October 30) it was near its all-time high, hitting US$73,295. This triggered some liquidations, but strong exchange-traded fund inflows suggested continued demand.
Bitcoin performance, October 26 to November 1, 2024.
Chart via CoinGecko.
However, profit-taking on Thursday led to a selloff, driving Bitcoin's price below US$70,000.
The subsequent 24 hours were marked by extreme volatility, with Bitcoin's price swinging from US$68,840 to US$71,500 and back to US$69,350 in less than a day. By the end of the trading week, Bitcoin closed at US$69,284, reflecting a 4.39 percent decrease from its highest point this week.
2. Mixed results in tech earnings reports
This week’s tech earnings reports were a mixed bag, with most companies facing investor skepticism. AMD (NASDAQ:AMD), the first to report on Tuesday (October 29), saw its share price decline due to a lower-than-expected sales forecast, despite exceeding revenue predictions and demonstrating growth in sales of its data center chips.
Similarly, Microsoft’s (NASDAQ:MSFT) strong revenue growth was overshadowed by concerns about a slowdown in its Azure cloud business. Executives attributed the decrease to capacity constraints rather than decreased demand, but it wasn’t enough to appease investors who sent its share price down by three percent after hours.
AMD, Microsoft, Meta Platforms and Intel performance, October 28 to November 1, 2024.
Chart via Google Finance.
Apple (NASDAQ:AAPL), despite reporting its highest quarterly revenue growth in two years, disappointed investors with its sales forecast, following a lackluster reception to its limited AI feature launch. Apple shares are down 4.54 percent for the week.
Both Amazon and Alphabet (NASDAQ:GOOGL) reported strong overall revenue growth, with their cloud computing businesses as a key growth driver. Alphabet was trading slightly ahead leading up to the release of its Q3 report, which revealed an increase in total revenue to US$88 billion, 15 percent higher than last year’s Q3 and beating estimates of US$86.44 billion. The primary contributor to Alphabet's growth was its Google Cloud business, which expanded by 39 percent. This growth was fueled by AI, which attracted new users and increased engagement with existing ones.
Conversely, search ad growth decelerated, decreasing by 12 percent compared to the previous quarter's 14 percent decline. Capital expenditures, which have set a running rate of around US$13 billion per quarter this year, are set to increase in 2025, although growth will likely be smaller than it was in 2024, which may have eased investors' worries that spending on AI will eat into the company’s profits.
Amazon and Alphabet performance, October 28 to November 1, 2024.
Chart via Google Finance.
Later, on Thursday evening, Amazon’s Q3 report showed 50 percent growth in Amazon Web Services' quarterly operating profit to US$10.4 billion. Revenue also increased by 19 percent to US$27.5 billion. Investors appeared unconcerned about Amazon's significant capital expenditures, sending its shares up 6.75 percent on Friday morning.
This is likely because AWS's generative AI business is rapidly expanding. Andrew R. Jassy, president and CEO of Amazon, explained during a conference call that AWS’ AI segment is growing at a triple-digit rate, exceeding even AWS's early growth trajectory.
On the other hand, Meta’s (NASDAQ:META) 4.19 percent share price dip was triggered by plans for increased capital expenditure and anticipated losses in its AI division, highlighting growing investor impatience with the company’s ambitious spending on AI ventures, especially as its cloud business hasn’t generated the profits seen by Amazon, Alphabet and Microsoft to offset these losses.
Finally, after a disastrous performance in Q2, Intel (NASDAQ:INTC) managed to restore some investor confidence. Its Q3 results beat analysts' expectations, despite reporting a 6 percent decline in quarterly revenue to US$13.28 billion and losses of US$16.6 billion, arising from the company’s ongoing restructuring efforts. The company’s stock is up 2.34 percent for the week.
3. Apple's week of product launches
Apple had a busy week of product rollouts, starting with the launch of Apple Intelligence on October 28 (Monday). However, the initial release proved underwhelming due to its limited functionality, offering only AI enhancements to Photos and Writing tools. Most highly anticipated features are delayed until December, and users are required to join a waitlist to gain access to them.
Apple also introduced its new line of iMacs featuring M4 chips and built-in Apple Intelligence, which failed to garner enthusiasm. Apple ended the trading day slightly below its opening price.
Tuesday saw the launch of the new Mac mini, a compact 5x5 inch desktop designed for flexibility; the computer is sold as a stand-alone product and is compatible with non-Apple peripherals, allowing consumers to design their own system by adding their preferred display, keyboard and mouse. This product launch resulted in a marginal increase in its share value.
On October 30 (Wednesday), Apple introduced the powerful M4 Pro and M4 Max chips, designed for high-performance users with higher memory bandwidth and more GPU cores than the standard M4. However, in the lead-up to the company's Q3 earnings report on Thursday, Apple's share value dipped by over one percent.
Overall, Apple's stock value has decreased by 4.54 percent this week.
4. Super Micro Computer faces financial turmoil
Shares of Super Micro Computer (NASDAQ:SMCI) are down a whopping 45.5 percent this week after the California-based server maker disclosed that global accounting firm EY had resigned.
The firm cited issues with the company’s financial reporting as the reason for terminating the relationship, saying it had identified issues that raised concerns about the Audit Committee’s representations. The news was reported by Reuters on Wednesday and resulted in a 33 percent drop in Super Micro’s share price.
Super Micro Computer, whose valuation peaked in 2024 at US$118.81 mid-March and was up over 65 percent year-to-date before this story broke, disagrees with the firm’s findings; however, investors seem to be airing on the side of caution, as this latest development adds to a series of unanswered questions surrounding the company's financial reporting.
Super Micro delayed filing its annual report in late August to assess its internal controls over financial reporting after Hindenburg Research made claims of possible account manipulation. Super Micro then hired a special committee to investigate the matter, which EY said it could “no longer rely on” in a recent filing with the US Securities and Exchange Commission. The US Department of Justice reportedly also began an investigation into the company in September, according to a report by the Wall Street Journal.
5. Google Cloud gains a new partner
Google Cloud announced a partnership with web3 infrastructure provider MANTRA on Tuesday.
Under the terms of the deal, Google Cloud will serve as the primary validator and infrastructure provider for the MANTRA Chain, a Layer-1 blockchain designed to facilitate the tokenization of real-world assets (RWAs). MANTRA Chain will be integrated into Google Cloud’s Web3 portal, giving developers the tools they need to build RWA solutions on the platform. The partnership aims to drive the adoption of RWAs in industries like finance and real estate.
Furthermore, MANTRA and Google Cloud are launching MANTRA Incubator in 2025, an accelerator program to support real-world asset tokenization projects with resources and expertise.
This agreement presents a potentially lucrative revenue stream for Google Cloud and strengthens the company’s presence in the Web3 space. As the primary validator for MANTRA, Google Cloud will earn rewards for validating transactions and securing the network. As the MANTRA Chain grows and handles more transactions, Google Cloud’s revenue will likely increase.
This collaboration marks a significant step for both companies, highlighting the growing interest and potential of blockchain technology in transforming traditional industries.
Don't forget to follow us @INN_Technology for real-time news updates!
Securities Disclosure: I, Meagen Seatter, hold no direct investment interest in any company mentioned in this article.
Mixed Bag as Tech Giants Apple, Amazon and Intel Release Quarterly Results
Apple (NASDAQ:AAPL), Amazon (NASDAQ:AMZN) and Intel (NASDAQ:INTC) released their latest quarterly results this week, revealing a mixed bag as competition in the artificial intelligence (AI) sector intensifies.
Read on for more details from their announcements and how investors reacted.
You can also click here for a look at the latest results from Meta (NASDAQ:META) and Microsoft (NASDAQ:MSFT).
Apple posts record revenue, loses ground in China
Apple reported record revenue of US$94.9 billion for its fourth fiscal quarter of 2024, marking a 6 percent year-on-year increase. However, the gain came alongside a sharp 36 percent drop in net income to US$14.74 billion, attributed largely to a one-time US$10.2 billion charge linked to a European tax decision.
The iPhone segment remains Apple’s biggest revenue contributor, with sales rising 6 percent to US$46.22 billion, bolstered by the launch of the iPhone 16 series. Apple’s Services division also achieved a quarterly revenue high of US$24.97 billion, driven by growth in the App Store, Apple Music and Apple TV+ subscriptions.
A key area of concern for Apple, however, is its relatively stagnant revenue in Greater China.
Quoting data from IDC, Reuters states that iPhone sales in China dipped 0.3 percent in the third quarter as rival Huawei posted a 42 percent surge in smartphone sales. Apple’s market share in China has slipped to 15.6 percent, allowing it to be overtaken by Huawei, which gained 4.2 percent year-on-year.
The competitive environment in China poses a critical risk for Apple, which has been proactive in diversifying its supply chain by increasing iPhone production in India and reducing lead times globally.
Cloud and ad segments dominate in Amazon's results
Amazon announced Q3 net sales of US$158.9 billion, an 11 percent increase from last year, with net profit rising to US$15.3 billion. Sales were driven in large part by Amazon Web Services (AWS), which continues to attract businesses looking for AI-powered cloud solutions. It brought in US$27.5 billion, a year-on-year rise of 18 percent.
The competitive landscape for AWS, however, has never been tougher, as both Microsoft and Alphabet's (NASDAQ:GOOGL) Google intensify their focus on AI investments and cloud infrastructure.
To match the competition, the company plans to scale AWS’ AI capabilities by building new data centers and computing capacity to meet increasing demand from enterprise customers.
Amazon’s advertising revenue also posted a 19 percent increase year-on-year, signifying the division's growing role within the company’s broader business. In addition, the firm's international segment posted an operating profit for the first time in over a year, pointing to a recovery in regions outside the US.
Intel beats estimates as restructuring efforts continue
Intel released its Q3 results as it continues a restructuring plan geared at improving performance.
Revenue for Intel's data center and AI segment rose 9 percent to US$3.3 billion, outpacing analysts' estimates, but the company posted a US$16.6 billion net loss due to restructuring and impairment charges.
Intel has been facing mounting pressure from NVIDIA (NASAQ:NVDA) and AMD (NASDAQ:AMD), which dominate the AI chip market in market share. While Intel’s traditional PC and server chip businesses have seen renewed demand, the company has largely missed out on the AI investment boom, which is dominated by NVIDIA's GPUs.
Intel’s outlook for Q4 projects revenue of between US$13.3 billion and US$14.3 billion, and the company has set ambitious targets to increase its capital expenditures for AI hardware in 2025.
However, Intel’s gross margin for the quarter fell short of expectations at 18 percent, indicating that the company has significant ground to cover in cost management and profit recovery.
Despite these challenges, Intel’s longstanding relationships with PC manufacturers and its ongoing investment in foundry services offer the potential to expand its revenue streams.
Don't forget to follow us @INN_Technology for real-time updates!
Securities Disclosure: I, Giann Liguid, hold no direct investment interest in any company mentioned in this article.
Meta, Microsoft Shares Down Despite Beating Expectations in Latest Results
Meta (NASDAQ:META) and Microsoft (NASDAQ:MSFT) both released their latest quarterly results on Wednesday (October 30), recording share price drops despite year-on-year revenue improvements.
Meta reported revenue of US$40.59 billion, surpassing analysts’ forecasts of US$40.3 billion. The social media giant’s net income for the quarter reached US$15.69 billion, with diluted earnings per share standing at US$6.03.
Microsoft, meanwhile, generated US$65.6 billion in quarterly revenue, beating projections of US$64.51 billion and marking a 16 percent increase compared to the same period last year.
Both companies said AI remains central to growth, especially as they expand their tech infrastructure.
Meta founder and CEO Mark Zuckerberg attributed the company's performance to ongoing AI advancements across its suite of platforms, including Facebook, Instagram and WhatsApp.
“We also have strong momentum with Meta AI, Llama adoption, and AI-powered glasses," he added.
However, Meta’s AI expansion comes with rising costs, and the company said it is projecting "significant capital expenditures growth" in 2025. These expenses will involve heightened depreciation and operational costs related to Meta’s expanded data centers and computational systems supporting its AI capabilities.
Microsoft’s performance this quarter was similarly buoyed by its AI-driven services, particularly within its cloud division. The company reported that revenue from its Azure platform and other cloud services saw a 33 percent year-on-year increase, with about one-third of that growth attributed to demand for AI solutions.
As more companies adopt cloud-based AI applications, Microsoft’s cloud infrastructure has enabled clients to access powerful computational resources without direct investment in their own systems.
This has proved appealing to smaller businesses and large enterprises alike, according to CEO Satya Nadella, who also highlighted the role of AI in strengthening Microsoft’s competitive position in the tech landscape. “I feel pretty good that going into the second half of even this fiscal year that some of that supply-demand will match up,” he further noted.
Microsoft’s quarterly performance follows a similar boost reported by Alphabet’s (NASDAQ:GOOGL) Google, which experienced a 15 percent year-on-year increase in cloud revenues in its latest quarter.
The earnings from Meta, Microsoft and Google underscore the rising significance of cloud and AI technology in big tech’s financial growth, where AI is increasingly viewed as a foundational component of operations. Analysts have suggested that AI, previously seen as speculative, has now transitioned into a key driver of returns for tech investors.
A recent outlook by Goldman Sachs (NYSE:GS) notes that AI-centric companies, particularly those focused on cloud integration, are expected to remain profitable as enterprises rely on external providers for access to scalable AI tools.
Don't forget to follow us @INN_Technology for real-time updates!
Securities Disclosure: I, Giann Liguid, hold no direct investment interest in any company mentioned in this article.
September 2024 Quarterly Activities Report and Appendix 4C
Advancing global neurodiagnostics with strategic partnerships and regulatory milestones on a pathway to commercialisation
BlinkLab Limited (ASX:BB1) (“BlinkLab” or the “Company”) an innovative digital healthcare company leveraging smartphones, computer vision, Al and machine learning to diagnose neurodevelopmental conditions, is pleased to release its Appendix 4C and Quarterly Activity Report for the period ended 30 September 2024. During the quarter the Company made significant progress towards the launch of its upcoming FDA registration study, which is on-track to commence before the calendar year end.
Highlights
- FDA registration study on track to commence this calendar year.
- Strategic partnerships signed with leading outpatient mental healthcare providers in Europe, for Autism and ADM/
- Several clinical studies in Autism, ADI-D), Frontotemporal Dementia, Functional Neurological Disorders, Spinocerebellar Ataxia, with top European and US institutions are ongoing and results are expected next calendar year.
- Commenced regulatory work towards obtaining ISO/CE mark certifications in Europe to support future commercial launch.
- As at 30 September 2024, the Company had a cash balance of A$5.4 million following the $7 million IPO in April.
Strong progress towards initiation of FDA clinical study later this year for "BlinkLab Dx 1" We are pleased to report that, after a competitive selection process, BlinkLab are in the final stages of appointing a world-recognised Clinical Research Organisation ("CRO"), with a track record of obtaining regulatory approvals for digital healthcare and medical devices, to coordinate our upcoming FDA registration trial.
Throughout the quarter, the Company continued work on finalising the study protocol, engaging with FDA as well as reaching out and interacting with future US based clinical sites that will be conducting the registrational studies. Before the end of CY 2024, we expect to announce the outcomes of this work. We are excited about the progress that our regulatory and development team is making to start the FDA study that we believe will be the largest smartphone based clinical study in the world, in the field of autism diagnostics.
Strategic Partnerships with large European Mental Healthcare Providers
During the past quarter, we announced two major clinical and future commercialisation partnerships with large European mental healthcare providers. Together with Mental Care Group and INTER-PSY, BlinkLab has launched companion clinical studies in ADHD and autism, evaluating whether the Company's technology can enhance diagnostic accuracy and efficiency in clinical settings, with a future commitment to commercialise our products with these partners in Europe upon successful outcomes. With a national network of over 200 clinical centres serving over 100,000 patients annually, these partnerships are a huge endorsement of the BlinkLab smartphone-based tests and the potential to grow successfully outside the US.
Ongoing Work Towards Obtaining European Certifications of BlinkLab Product
As the Company continues to support the activities for the launch of FDA registrational study, the BlinkLab team has also initiated work towards obtaining applicable regulatory clearances to be able to launch the product outside the US.
Under the EU Medical Device Regulation (MDR) 2017/745, the BlinkLab diagnostic platform is classified as a class Ila medical device and will require CE marking of conformity before the device can be launched on the market. The conformity work will include implementation of quality management systems (IS013485 certification), usability engineering, labelling, adherence to general data protection regulation (GDPR), developing appropriate post-market surveillance plan and other activities. This work commenced during the prior quarter, and the Company will be providing ongoing updates as it moves forward towards EU certification and future launch in markets outside the US.
Ongoing Clinical Studies in Other Indications with World Leading Research Organisations
Since listing on the Australian Securities Exchange in April this year, BlinkLab has announced multiple clinical research collaborations with several world-renowned research institutions to conduct studies in mental and developmental conditions outside of autism and ADHD.
The data collected from these studies is fundamental to the Company's diagnostic platform and machine learning models, as distinguishing autism and ADHD from other psychiatric disorders in the real world is difficult due to their multidimensional phenotypes and significant overlap of symptoms and characteristics.
At BlinkLab we are trying to fundamentally change the diagnostic approach by collecting digital phenotype data from the broadest possible range of neurodevelopmental and neurodegenerative conditions. By training the model on large data sets from various diseases, we significantly improve future predictive performance of the BlinkLab application in real-world scenarios.
Click here for the full ASX Release
This article includes content from Blinklab Limited, licensed for the purpose of publishing on Investing News Australia. This article does not constitute financial product advice. It is your responsibility to perform proper due diligence before acting upon any information provided here. Please refer to our full disclaimer here.
Tech 5: Tech Earnings Season Kicks Off as Tesla and IBM Report Results
Tech investors navigated a complex landscape marked by political uncertainty and mixed economic signals.
The Bank of Canada cut interest rates by 50 basis points on Wednesday (October 23), and the US Leading Economic Index declined, signaling potential economic slowing. Meanwhile, the US Federal Reserve's Beige Book showed that economic activity was little changed since the last report, with some areas seeing modest growth and others slowing.
Yields for 10 year Treasuries initially rose, leading to a decline in crypto prices and hurting tech stocks, but Tesla's (NASDAQ:TSLA) strong earnings and declining yields later in the week boosted the sector.
Market watchers are now looking ahead to quarterly earnings reports from major tech companies. Stay informed on the latest developments in the tech world with the Investing News Network's round-up below.
1. Bitcoin starts strong, but ends down
The CoinDesk 20 Index (INDEXNYSEGIS:CDI20) started the week up 1.17 percent in 24 hours, with Bitcoin priced at nearly US$70,000 as trading commenced in Asia. The surge corresponded with an increase in open interest for Bitcoin futures, which hit a new record high of US$40.43 billion on Monday (October 21).
Augustine Fan, head of insights at the DeFi infrastructure firm SOFA, told CoinDesk in a Telegram note that day that the current pattern points to growing bullish sentiment in the market.
Meanwhile, the estimated leverage ratio — an open interest-based ratio tracked by CryptoQuant — was showing increased leverage, indicating that traders were starting the week with an appetite for risk.
Bitcoin performance, October 19 to 25, 2024.
Chart via CoinGecko.
However, the upward trend had reversed by Tuesday (October 22), with the weekend's gains disappearing.
As mentioned, rising Treasury yields drove crypto prices down, erasing 2 percent from the sector's total market cap. According to data tracked by CoinGlass, over US$165 million in long positions were liquidated.
Bitcoin exchange-traded funds also recorded their first net outflows in two weeks.
Bitcoin’s price continued to tumble on Wednesday, dropping to US$66,444 following the release of the Fed’s Beige Book data, which shows slow growth in the employment sector and slightly high prices for necessities like food and housing. The data fueled lingering inflation concerns and supported the argument for a smaller rate cut in November.
2. Tesla leaps after quarterly results release
Elon Musk's Tesla showed off its strongest quarterly report in a year after Wednesday's close.
The company produced about 70,000 vehicles and delivered 463,000, exceeding Q2 figures. Its GAAP net income reached US$2.2 billion, surpassing the previous quarter's US$1.5 billion. While total revenue of US$25.18 million saw a slight decrease from Q2, automotive revenue showed year-on-year and quarterly growth, reaching US$20.12 million.
Operating cashflow increased substantially, reaching US$6.3 billion compared to Q2's US$3.6 billion. GAAP earnings per share for Q3 were US$0.62, significantly higher than last quarter and the previous year.
Tesla’s share price has experienced significant swings this year as the company has adjusted timelines for several of its key products, including Full Self-Driving, new vehicle models, its robotaxi program and its humanoid robot Optimus. The National Highway Traffic Safety Administration has also launched several probes into the company’s self-driving technology following a series of traffic accidents involving Teslas.
Tesla performance, October 21 to 25, 2024.
Chart via Google Finance.
Shares ended Wednesday at US$213.65 ahead of the report’s release, down 2.45 percent from the week's start.
However, Tesla jumped by 12 percent in after-hours trading, boosted by the significant difference in cashflow and Musk’s confident forecast of a rise in vehicle deliveries by year's end. The company also confirmed that its timeline for new, affordable models remains on track, with production set to begin in the first half of 2025.
The report sparked a rebound in tech stocks after troubling Beige Book data and a rise in 10 year Treasury yields. For its part, Tesla finished the week up more than 22 percent.
3. IBM's quarterly results fail to impress
Also on Wednesday, IBM (NYSE:IBM) released its Q3 earnings report.
Its performance was driven by a 9.7 percent year-on-year increase in software revenues, with a notable 14 percent contribution coming from Red Hat, a subsidiary acquired by IBM in 2019.
Overall, the tech giant's Q3 revenue saw a modest 1 percent increase year-on-year, reaching US$15 billion, slightly below projected estimates of US$15.07 billion. Adjusted earnings per share showed stronger year-on-year growth of 5 percent, reaching US$2.30. IBM also highlighted its generative artificial intelligence (AI) segment.
"Our generative AI book of business now stands at more than $3 billion, up more than $1 billion quarter to quarter," said Arvind Krishna, the company's chairman, president and CEO.
"Heading into the final quarter of 2024, we expect fourth-quarter constant currency revenue growth to be consistent with the third quarter, with continued strength in Software. We are confident in our ability to deliver more than US$12 billion in free cash flow for the year, driven by continued expansion of our operating margins," he added.
IBM performance, October 21 to 25, 2024.
Chart via Google Finance.
Shares of IBM fell 5.87 percent to US$219.05 at the opening bell on Thursday. The company finished the week 7.77 percent below its peak price of US$233.01, which came on Wednesday.
4. NVIDIA and TSMC resolve chip design issue
On Wednesday, NVIDIA (NASDAQ:NVDA) announced the resolution of a design problem that delayed the production of its newest Blackwell chips, which were revealed in March and expected to be released sometime in Q2.
CEO Jensen Huang said the flaw was “100 percent NVIDIA's fault” and credited its collaborative partner, Taiwan Semiconductor Manufacturing Corporation (TSMC) (NYSE:TSM), for its assistance resolving the issue.
"What TSMC did, was to help us recover from that yield difficulty and resume the manufacturing of Blackwell at an incredible pace," Huang told an audience in Denmark, where he was launching a new supercomputer built by NVIDIA in collaboration with the Novo Nordisk Foundation and Denmark’s Export and Investment Fund.
The market responded by sending the company’s share price up over 2 percent in the final hours of trading on Wednesday. Shares of NVIDIA are up 2.66 percent for the week, and the company even briefly dethroned Apple (NASDAQ:APPL) as the world’s most valuable company on Friday (October 25) afternoon.
Analysts at Morgan Stanley (NYSE:MS) have projected that NVIDIA could produce up to 450,000 Blackwell GPUs in the fourth quarter. TSMC is NVIDIA's primary chip manufacturer, and its advanced manufacturing technology is crucial when it comes to meeting demand from NVIDIA's long list of customers, which includes tech mega corporations Alphabet (NASDAQ:GOOGL), Meta (NASDAQ:META) and Amazon (NASDAQ:AMZN).
TSMC and NVIDIA performance, October 21 to 25, 2024.
Chart via Google Finance.
TSMC’s strong Q3 results, released last week, were largely driven by demand for its manufacturing process, which uses EUV lithography to fabricate chips with higher precision. During a recent presentation for the Potomac Institute for Policy Studies, Rick Cassidy, president of TSMC’s California-based US division, reportedly told listeners that chip yield at an Arizona plant has exceeded that of similar factories in Taiwan by 4 percent.
TSMC is in line to receive US$11.5 billion in US government grants and loans, and it qualifies for a 25 percent tax credit under the CHIPS Act, which will better position it to capitalize on the growing demand for advanced AI chips.
5. Apple exec teases announcement next week
Apple is preparing to drop major news next week, according to Greg Joswiak, the company’s senior vice president of worldwide marketing, who teased a “week of announcement” on X, formerly Twitter, on Thursday morning.
Although no details have been released, Bloomberg reported that the company will likely roll out a line of new AI Macbooks and a newly redesigned Mac mini powered by Apple’s newest M4 chip.
Also next week, Apple is set to update its iOS system with Apple Intelligence, the company's homegrown AI platform. The update will be available for: all Macs with Apple silicon M1 and M2 chips; iPad Pro and iPad Air models with M1 chips or later; and the iPhone 15 Pro, iPhone 15 Pro Max and newly released iPhone 16 series.
The market gave a muted response to the news, which came a day after tech stocks declined on the back of rising 10 year Treasury yields. Some of Apple’s product rollouts earlier this year failed to generate significant consumer enthusiasm, and Apple is lagging behind its competitors in on-device AI capabilities.
By the end of the trading week, Apple's share price had decreased by 1.38 percent, closing at US$231.41.
Don't forget to follow us @INN_Technology for real-time news updates!
Securities Disclosure: I, Meagen Seatter, hold no direct investment interest in any company mentioned in this article.
12 Generative AI Stocks to Watch as ChatGPT Soars (Updated 2024)
The launch of OpenAI’s ChatGPT created a major buzz around artificial intelligence (AI) stocks.
ChatGPT is an AI chatbot software application that uses machine learning techniques to emulate human-written conversations. A hitherto niche subsector in the AI industry, this technology is called generative AI, and it's been making an impact on myriad industries, including marketing, security, healthcare, gaming, communication, customer service and software development.
While generative AI technology is in its early stages, Reid Menge, co-portfolio manager for the BlackRock Technology Opportunities Fund, sees immense potential.
“ChatGPT is nearly as smart as the human brain today,” he said, “and with the computational horsepower being used to train these AI models, imagine the capabilities of these generative AI services by 2025.”
According to Fortune Business Insights, the generative AI market is expected to grow at a compound annual growth rate of 39.6 percent between 2024 and 2032 to reach an impressive US$967.65 billion.
Although investors can’t directly take a position in privately owned OpenAI, several technology stocks offer exposure to the expected growth in generative AI technology.
Below, the Investing News Network showcases 12 generative AI stocks that stand to benefit the most from the rise in advancements and adoption of AI chatbot technologies and seven smaller generative AI companies that may be perfectly positioned to profit from their advancements.
All market cap and share price data were current as of October 23, 2024.
Biggest generative AI stocks to watch
These 12 tech giants offer investors exposure to generative AI by offering their own chatbots and generative AI products, developing the hardware and software necessary for AI and integrating AI into their product.
1. Apple (NASDAQ:AAPL)
Market cap: US$3.51 trillion
Current share price: US$230.76
Apple is increasingly incorporating AI into its products such as its virtual assistant Siri, and health and fitness tracking apps. The company's approach to AI — Apple Intelligence — emphasizes privacy by building devices that can perform AI tasks directly on the device using their A17 and A18 silicon chips.
Its newest iPhone 16, which launched in September 2024, comes with AI features like writing assistance and intelligent photo features built into the hardware of the device. The new iPad mini, which was released on October 23, was also designed to support Apple Intelligence.
2. NVIDIA (NASDAQ:NVDA)
Market cap: US$3.42 trillion
Current share price: US$139.56
Nvidia is a pioneer and global leader in graphics processing unit (GPU) technology. Nvidia designs specialized chips used to train AI and machine learning models. The company also offers supercomputing processing capabilities to scientific researchers around the world.
While its been well known in computer and gaming spaces for a long time, its focus on the AI sector has been driving its growth in recent years. Nvidia's market value has grown by 135 percent year-over-year and at one point the company even took the title of world’s most valuable company from rivals Microsoft and Apple.
Generative AI's explosive growth is driving the market for chips designed by companies like Nvidia and Marvell (NASDAQ:MRVL), another chip-making giant, and Micron (NASDAQ:MU), a company that makes memory chips, which are another important component to training generative AI systems.
3. Microsoft (NASDAQ:MSFT)
Market cap: US$3.16 trillion
Current share price: US$424.60
After having initially invested at least US$3 billion in OpenAI a few years ago, the technology behemoth Microsoft reportedly committed to investing up to another US$10 billion in the chatbot creator in the years ahead. The company also participated in OpenAI's latest funding round on October 2.
Microsoft built its own AI solutions, Bing AI and Copilot, based on OpenAI's technology. Bing is integrated into Windows 11's taskbar, allowing users to query the chatbot directly with Microsoft's Edge browser, Chrome and Safari. The company also recently partnered with Palantir to provide AI tools to US defense and intelligence agencies.
4. Alphabet (NASDAQ:GOOGL)
Market cap: US$2.01 trillion
Current share price: US$164.48
Alphabet, Google’s parent company, has played an important role in advancing generative AI technology. Its latest AI model, Gemini, is available in three sizes — Nano, Pro and Ultra — to meet various levels of user needs. According to the company, Gemini is "able to efficiently run on everything from data centers to mobile devices."
Alphabet is leveraging generative AI across its business segments. Its AI accelerator chip, TPU v5p, was developed for neural network machine learning and is designed to scale large clusters, reducing the time needed to train large language models. Alphabet's subsidiary, DeepMind, focuses on AI research and development. Its AI system, AlphaFold, won the Nobel Prize in Chemistry on October 9 for its ability to predict the structure of proteins based on a protein's unique amino acid sequence.
5. Amazon (NASDAQ:AMZN)
Market cap: US$1.94 trillion
Current share price: US$184.71
Amazon subsidiary and cloud-computing platform Amazon Web Services (AWS) evolved out of Amazon’s transition from an online retailer to one of the world’s largest technology companies. AWS’s wide range of services includes computing, storage, databases, networking, analytics, machine learning and AI.
AWS has many AI business tools on offer across four verticals: AI services, AI platforms, AI frameworks and AI infrastructure. Generative AI is nothing new to Amazon, as the technology forms the basis of conversational experiences with Amazon’s all-too-familiar Alexa.
Last year, AWS introduced Bedrock, a service that enhances software with generative AI capabilities such as turning text into images or creating text for blog posts, emails and documents. The company has since added more features to the service, including a custom model import feature that allows customers to bring their own models to the Bedrock platform.
6. Meta Platforms (NASDAQ:META)
Market cap: US$1.43 trillion
Current share price: US$563.69
Meta has expressed its commitment to continued research within the generative AI sphere with an open-source approach to its software developments. The giant behind Facebook, Instagram and WhatsApp is one of the most influential companies in tech, sharing ranks with the likes of Microsoft and Alphabet.
In April 2024, Meta introduced its Meta AI, which is built with Meta Llama 3. The AI is integrated into Meta's apps and also exists as a standalone website.
Meta's products use machine learning to streamline Facebook ad campaign generation and help businesses reach the right consumers. Its Q2 2024 quarterly report showed a 21.7 percent increase in ad revenue compared to last year.
Meta CEO Mark Zuckerberg has maintained that increased spending on AI infrastructure is necessary to maintain its competitive position. The company has been implementing cost-saving measures to offset these investments and balance the financial impacts of its AI initiatives.
7. Tesla (NASDAQ:TSLA)
Market cap: US$682.55 billion
Current share price: US$213.65
The automotive company that brought self-driving cars out of sci-fi and into reality is now on a mission to develop advanced, generative autonomous vehicles using the massive amounts of data collected from its cars. One of Tesla's goals is to develop a fully self-driving vehicle, but the company is also working on other AI initiatives like a bi-pedal autonomous Tesla Bot.
While the roll-out of Tesla’s self-driving technology has run into issues in the US, it was given the green light to begin testing the software in a pilot program in Shanghai on June 14. In July 2023, the company said it was spending "north of a billion dollars" from mid-2023 until the end of 2024 on Dojo, a supercomputer that collects the data and uses it to train generative AI models that Tesla vehicles use to operate.
Tesla CEO Elon Musk created a separate AI company called xAI, formed with the intent of using generative AI to "understand the meaning of the universe." It is currently working on a large language model called Grok that can "answer almost anything" and even prompt users to ask specific questions. Musk suggested Tesla could invest in xAI and use Grok, but this would need to be approved by Tesla's board and could be a conflict of interest.
8. Oracle (NYSE:ORCL)
Market cap: US$479.67 billion
Current share price: US$173.10
Oracle is a tech company that's been around since the 1970s. In the early 2000s, it began buying up other software companies, and today it is one of the leading providers of cloud-based database management software. Its Oracle Cloud Infrastructure (OCI) Generative AI service was released on January 23.
The software uses Cohere’s platform to allow businesses to incorporate large language models into software they're already using. Oracle has been involved in a long-term partnership agreement with Nvidia to provide generative AI solutions to complex issues. At the Oracle CloudWorld conference on September 11, Oracle announced the first supercomputer to reach "zettascale" performance, capable of 1 billion trillion calculations per second. The buildout will use as many as 131,072 Nvidia Blackwell GPUs.
9. SAP (NYSE:SAP)
Market cap: US$271.27 billion
Current share price: US$234.59
SAP is a software company out of Walldorf, Germany, with a line of generative AI products that aid companies in resource planning. In September 2023, the company released Joule, a natural language generative AI assistant designed to streamline tasks and improve workflow. Joule is available in SAP’s complete cloud portfolio and can be seamlessly integrated into the company's entire line of business AI offerings.
To further research how cloud technology can support AI applications, SAP has been collaborating with UC Berkley's Sky Computing Lab. The company was also recently recognized as one of the world’s most sustainable companies in 2024 by TIME Magazine and data firm Statista.
On September 12, SAP acquired WalkMe, a software company that provides a digital adoption platform that provides step-by-step instructions for an application.
10. Cisco Systems (NASDAQ:CSCO)
Market cap: US$224.33 billion
Current share price: US$56.28
Multinational digital communications firm Cisco Systems is a leader in IT and communications networks. The company has a large portfolio of multi-cloud products and applications, alongside strong relationships with Azure, AWS, Nvidia and Google Cloud.
Cisco’s AI and machine learning offerings encompass a wide range of computing solutions for enterprises, including a focus on cybersecurity. Cisco has also brought to market new generative AI tools for IT professionals, including its own AI Assistant.
11. Adobe (NASDAQ:ADBE)
Market cap: US$213.51 billion
Current share price: US$485.03
Adobe has a suite of design software that makes up its Creative Cloud platform and began rolling out AI-powered software with machine-learning capabilities in 2022. In March 2023, the company launched its generative AI iteration, Adobe Sensei GenAI, which features a list of services designed to improve marketing and content creation workflows. The AI tool is now part of its Adobe Experience Cloud.
In March 2024, Adobe and Microsoft joined forces to merge Adobe’s Experience Manager Sites capabilities with Microsoft Copilot, enabling users to harness the power of Adobe Firefly generative AI directly within Microsoft Word. In June, Adobe and TikTok signed an agreement to add TikTok's music to Adobe Express and give TikTok users access to Adobe's Symphony Assistant which uses AI to aid the creative process.
12. IBM (NYSE:IBM)
Market cap: US$214.4 billion
Current share price: US$232.75
IBM reportedly has one of the world’s largest AI research programs. The multinational tech company offers various AI solutions for cloud computing, IT operations, customer service, business automation, natural language processing and more. The MIT-IBM Watson AI Lab, a collaborative effort between the two establishments, works to advance research in healthcare, security and finance.
On September 4, the company sold its IBM QRadar SaaS assets to cybersecurity firm Palo Alto Networks (NASDAQ:PANW). IBM has also been working with the Defense Advanced Research Projects Agency to build tools capable of defending AI models from cyberattacks.
Other generative AI stocks to watch
The following companies have not yet reached the market capitalization of our top 12, but are each worth billions of dollars and have made some amazing achievements in generative AI technology in their own right, making them interesting prospects for investors.
In alphabetical order, they are:
- C3.ai (NYSE:AI), a company providing software as a service product to the financial and oil and gas industries. Its partnership with Alphabet allows C3.ai generative AI applications to be available on Google Cloud.
- CrowdStrike (NASDAQ:CRWD), a cybersecurity provider that monitors and analyzes Internet activity, detecting threats and blocking attacks with its generative AI-powered security analyzing software, Charlotte AI. This service is available to every Falcon user and provides real-time feedback on a company’s risk landscape.
- DynaTrace (NYSE:DT), a data-analysis company that provides real-time feedback on IT infrastructure for various companies using its generative AI assistant, Davis.
- Juniper Networks (NYSE:JNPR), a company that develops and markets routers, switches, network management software, network security products and software-defined networking technology. In 2021, the company introduced AI services to its networking technology and on January 29 the company unveiled the industry's first AI-Native Networking Platform.
- MicroStrategy (NASDAQ:MSTR), a data warehouse that uses generative AI to provide companies with analytical reports to help them make more informed and lucrative decisions.
- Palantir (NYSE:PLTR), a data-mining platform for government agencies. The company has been working with the US Department of Defense to research and develop generative AI and machine learning technology for national defense.
- UiPath (NYSE:PATH), a software company with roots in Romania and headquarters in New York. UiPath designs robotic process automation software to reduce or eliminate boring or repetitive tasks like data extraction and file management, saving companies in a wide range of industries hundreds of hours thanks to its AI and generative AI software.
FAQs for generative AI
What is generative AI?
Generative AI is an emerging AI technology based on deep learning models and algorithms that can generate text, images or sounds in response to prompts given by users.
What are generative AI examples?
Some of the most notable examples of generative AI are ChatGPT, DALL-E 2, Midjourney, Stable Diffusion, Gemini and Copilot.
OpenAI's DALL-E 2 is an AI system that can create realistic images and art from a description in natural language. Similar to DALL-E 2, Midjourney generates images from prompts. Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input. Microsoft's Copilot is a feature of the Bing search engine that leverages the same technology as ChatGPT.
What are the hottest generative AI startups?
According to technology and business magazine e-Week, in addition to ChatGPT creator OpenAI, some of the other leading generative AI startups include Hugging Face, Synthesis AI, Jasper and Cohere.
This is an updated version of an article first published by the Investing News Network in 2023.
Don't forget to follow us @INN_Technology for real-time news updates!
Securities Disclosure: I, Meagen Seatter, hold no direct investment interest in any company mentioned in this article.
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