
July 23, 2024
Partnership aligns with BlinkLab’s strategy to enhance its AI-powered digital platform for sensory phenotyping and promote global adoption.
BlinkLab Limited (ASX:BB1) (“BlinkLab” or the “Company”), an innovative digital healthcare company developing smartphone-based AI-powered diagnostic tests for neurological disorders, advises it will be participating in a clinical study in patients with spinocerebellar ataxias conducted by Columbia University, New York.
Highlights
- New study in partnership with Columbia University, New York, to study the effect of aerobic physical exercise on neuroplasticity in adults with spinocerebellar ataxias (“SCA”).
- Potential to demonstrate that the BlinkLab eyeblink conditioning test can serve as an effective biomarker for neuroplasticity in human SCA patients.
- Partnership will contribute to global adoption of the BlinkLab platform by world renowned centres and research institutions to study a variety of neurological disorders.
- Study will continue for up to 18 months and will recruit up to 62 adults with SCA.
- Collaboration agreement ensures that BlinkLab will have an option to exclusively licence any intellectual property developed as a direct result of the partnership.
Henk-Jan Boele, CEO of BlinkLab commented:
“Since the very first successful test of the BlinkLab platform in the lab at Princeton University, our team’s vision has always been to develop a tool that will someday be considered as a standard of care in the initial diagnosis of neurodevelopmental conditions where children have difficulties in processing sensory information, such as autism and ADHD. However, as a team of scientists we also envisioned the development of a research platform that would facilitate groundbreaking digital sensory phenotyping in neuropsychiatric conditions in a much broader sense. In the past few months we have made significant progress towards this goal as evident from the adoption rate of our technology among top researchers across a broad range of neuropsychiatric clinical disciplines. We know that research adoption will smoothen clinical adoption. Data generated from these studies will further inform our machine learning training and ensure BlinkLab remains the leader in the field of digital sensory phenotyping in humans.”
What is Spinocerebellar Ataxia?
Spinocerebellar ataxias are a group of disorders in which progressive cerebellar degeneration leads to severe disability and even death. An estimated 150,000 Americans are living with these diseases1, and the average annual healthcare cost to the United States is over 1.9 billion dollars2. There are currently no effective treatments or cures for genetic causes of these diseases. Thus, there is a critical need to find treatments that slow disease progression and allow affected individuals to live more functional lives.
Researchers at Columbia University Medical Center demonstrated that aerobic training is a promising treatment for spinocerebellar ataxias, but the mechanism of action is not fully understood. Training may increase leg strength and endurance which allow compensation for balance deficits, but may also cause neuroplastic changes in the brain that are of benefit. In fact, long-term aerobic training in healthy individuals has been shown to create a fertile brain environment by increasing expression of plasticity-related genes and growth factors to support subsequent learning.
Prior work with in-person laboratory assessments has shown that individuals with spinocerebellar ataxia have impaired eyeblink conditioning, poor retention of learning, and difficulty increasing learning capacity across multiple training sessions. There are no published studies in humans examining the impact of exercise training on eyeblink conditioning, but a few animal studies have been conducted. Experimental animals that perform aerobic exercise are able to condition (i.e. associative learning tasks) significantly better than sedentary rats.
Dr. Scott Barbuto, Columbia University, commented on the study:
”The current study will investigate the impact of acute and long-term aerobic training on eyeblink conditioning in individuals with spinocerebellar ataxia. The aim of this study is to demonstrate that aerobic training, but not balance training, causes neuroplastic changes in the cerebellum to enhance motor learning. Eyeblink conditioning has had limited use in clinical studies and is used more often in basic science research. Reasons for limited use include: the high cost of the standard equipment setup needed to test eyeblink conditioning and the need for extensive programming and data management skills to acquire and interpret data. Some studies have been conducted on individuals with spinocerebellar ataxia, but sample sizes are typically very small, ranging from 8-24 participants. With the use of BlinkLab, we will be able to test many individuals with ataxia and determine if differences exist between various types. We will also determine if exercise impacts eyeblink conditioning in individuals with ataxia, a topic that has not been investigated to date.”
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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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The Conversation (0)
25 September 2024
BlinkLab Limited
Investor Insight
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.
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Tech 5: Meta Plans Multi-Billion AI Bet, Apple Reveals iOS 26 at WWDC 2025
This week saw a flurry of activity in the tech world, from Apple's (NASDAQ:AAPL) new product announcements to Amazon's (NASDAQ:AMZN) massive infrastructure investment in Pennsylvania.
Meanwhile, Nvidia's (NASDAQ:NVDA) European expansion and its role as an AI powerhouse were all but cemented after a series of announcements at the Paris VivaTech Conference, and Meta Platforms (NASDAQ:META) made some big moves in the AI startup space.
Read on to dive deeper into this week's top tech stories.
1. Meta's AI strategy takes shape with US$14.8 billion deal
Meta has a massive deal in the works with Scale AI, according to information provided by sources to multiple outlets.
On June 7, Bloomberg broke the news that Meta was in discussions for a potential investment of over US$10 billion in the AI firm. Then, on Tuesday (June 10), The Information reported Meta would acquire a 49 percent stake in Scale AI for US$14.8 billion, valuing the startup at US$28 billion, a two-fold increase from its valuation in 2024.
The news was followed by reports from the New York Times and Bloomberg Tuesday that Meta would be unveiling a new AI research lab focused on achieving superintelligence that would include Alexandr Wang, who is Scale AI's founder and CEO, among other Scale AI employees.
Meta CEO Mark Zuckerberg reportedly acquired additional talent for the lab by offering lucrative compensation packages to engineers from multiple other tech firms, including Google (NASDAQ:GOOGL) and OpenAI.
2. Apple's WWDC disappoints investors
Shares of Apple stock fell by over 2 percent on Monday (June 9) and closed 1.43 percent lower after the company’s lineup of new developments and features revealed at its annual Worldwide Developers Conference failed to impress investors.
Apple’s forthcoming software updates featured subtle improvements, such as a revamped operating system (OS) and AI capabilities that were noticeably toned down compared to the previous year's unveiling. Among the new additions to Apple devices are in-app live translation, call screening, AI-driven information analysis and more sophisticated image generation capabilities thanks to its partner OpenAI.
The company also said it would provide developers with offline functionality for its on-device AI models.
The biggest development was the introduction of Liquid Glass, a new design language and graphical user interface developed to unify the visual experience across Apple’s operating systems. Also part of the push for unification, Apple shared it is switching to an iOS naming system using a number based on calendar year after its release, meaning the next release will be iOS 26.
Apple briefly mentioned the long-awaited AI-powered upgrade to its Siri assistant that was announced at WWDC 2024. During the previous conference, executives hinted that the new Siri would be released with iOS 18, which came out last September without the upgrade.
While no release date was provided at the event, Senior Vice President of Software Engineering Craig Federighi said that the company looks forward to sharing more details “in the coming year.” The company reaffirmed that timeline in a Bloomberg report after anonymous sources told the publication Apple is aiming for a spring 2026 release.
Shares of Apple stock closed down 3.88 percent for the week.
3. Amazon to build two nuclear-powered data centers in Pennsylvania
Amazon announced plans on Monday to invest at least US$20 billion in expanding its data center infrastructure in Pennsylvania, including the construction of two new data center campuses.
One of the campuses will be in Luzerne County, south of Scranton, alongside Talen Energy’s Susquehanna nuclear power plant. The second campus will be built north of Philadelphia in Bucks County, at the site of what was once a steel mill.
“Pennsylvania is competing again – and I'm proud to announce that with Amazon's commitment of at least $20 billion to build new state-of-the-art data center campuses across our Commonwealth, we have secured the largest private sector investment in the history of Pennsylvania,” Pennsylvania Governor Josh Shapiro (D) said in a press release.
Later, on Wednesday (June 11), Talen Energy (NASDAQ:TLN) announced the expansion of its nuclear energy partnership struck with Amazon in 2022 to now supply AWS data centers with up to 1,920 megawatts of electricity from its plant, doubling its previous commitment of 960 megawatts.
The two companies also shared plans to explore the development of small modular reactors in the state.
4. Oracle earnings report sends stock to new heights
Oracle (NYSE:ORCL) reported its fiscal Q4 and full year 2025 earnings on Wednesday, revealing total Q4 revenue of US$15.9 billion, above analyst estimates and a year-over-year increase of 11 percent. Earnings per share were US$1.70, which also exceeded expectations of US$1.64.
The software maker’s cloud infrastructure business grew by 50 percent year-over-year in fiscal year 2025, and Oracle projected a further increase of 70 percent in cloud infrastructure sales over the next year.
CEO Safra Catz's news during the earnings call that the Stargate joint venture is “not yet formed” had little bearing on the company’s stock price. The positive report sent shares to a new high of US$202.44, and they continued climbing to close Friday up 23 percent since the start of the week.
5. Nvidia CEO highlights AI job creation, European AI deals at VivaTech
In a week of announcements that coincided with the VivaTech 2025 conference in Paris, Nvidia CEO Jensen Huang showcased his company’s role as a full-stack AI infrastructure provider.
His message during his keynote presentation on Wednesday was a stark contrast to Anthropic CEO Dario Amodei’s warning earlier this week that AI could lead to widespread job displacement.
On the contrary, Huang said that AI will create new industries and demand for jobs. He also noted that quantum computing technology is at an inflection point, with the potential to solve problems that currently demand years of processing by classical computers.
His comments came just one day after IBM (NYSE:IBM) unveiled its newest roadmap, which includes plans for a new quantum data center and the IBM Quantum Starling, which the company says will be the world's first large-scale, fault-tolerant quantum computer.
Cementing Nvidia’s role as a global infrastructure leader, Huang shared plans to develop European sovereign AI models through a newly announced partnership with US-based, AI-powered search engine Perplexity and French sovereign AI start-up H Company. Developers will be able to access and fine-tune Perplexity’s models through Hugging Face, a platform for model sharing and collaboration.
DGX Cloud Lepton, Nvidia’s sovereign-ready AI cloud platform, will host the models on European infrastructure to comply with local data privacy and localization requirements.
Huang said that, with over 20 active AI factory initiatives in the region, he anticipates a tenfold increase in Europe's AI computing capacity within two years.
Also on Wednesday, insiders for Bloomberg reported that Nvidia and Samsung Electronics (KRX:005930) will make minority investments in robotics software developer Skild AI as part of the company’s Series B funding round. The round is led by a US$100 million investment from SoftBank (TSE:9434) and will result in a US$4.5 billion valuation, according to the report. Sources with insider knowledge said that Nvidia will invest US$10 million and Samsung will put in US$25 million in a strategic move aimed at boosting the companies' influence in the consumer robotics sector.
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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09 June
Why 3D Visualisation is a Game Changer for Resource Asset Management
Forget spreadsheets and static blueprints. The future of resource asset management is unfolding in three dimensions, and smart money is starting to take notice.
3D visualisation is no longer a niche tool; it's rapidly becoming the indispensable core of how resource companies — such as mining, oil and gas and utilities — are tackling their most pressing challenges, from optimising daily operations to achieving critical environmental, social and governance objectives. For investors, this isn't just a technological upgrade; it's a paradigm shift with significant implications for portfolio performance.
Managing complexity at scale
Infrastructure in the resource sector is often situated in extreme or inaccessible environments. Offshore rigs, underground mining sites and regional power transmission stations are all difficult and costly to maintain.
Asset downtime due to unplanned maintenance can result in financial losses reaching millions of dollars per incident, and routine inspections often require travel to remote locations that add time, cost and logistical complexity.
Adding to these challenges is a consistently high risk to worker safety. Workers are often exposed to hazardous conditions, including confined spaces, high-temperature environments, toxic chemicals and heavy machinery. According to a report by Safe Work Australia, the mining industry has the third highest fatality rates of any sector, with 2.3 fatalities for every 100,000 workers. The International Labour Organization has similarly flagged mining and energy as among the world’s most dangerous industries due to the frequency and severity of accidents.
Further compounding the issue are communication breakdowns stemming from outdated or incomplete asset documentation, which can lead to misinformed decisions during maintenance or emergency situations.
These limitations, especially in fast-moving or high-stakes environments, highlight the need for better visibility, coordination and remote access to information.
In this context, technologies that reduce the need for physical site visits while improving asset awareness and communication can deliver not only operational improvements but critical safety outcomes as well.
From paper plans to digital twins
3D visualisation technologies have matured rapidly, enabling the creation of digital twins — virtual replicas of physical infrastructure that can be accessed and interacted with remotely.
These digital environments are built using techniques like photogrammetry, LiDAR scanning and geospatial imaging, integrated with operational data to create not only visual fidelity but functional insight.
According to Deloitte, digital twins are already being deployed across industrial settings to support predictive maintenance, equipment performance tracking and strategic planning. The market is expanding rapidly, with forecasts from MarketsandMarkets estimating growth from US$10.1 billion in 2023 to over US$110 billion by 2028. This level of growth suggests that the technology is moving out of the innovation phase and into the mainstream.
For investors looking to understand the landscape, several public companies are active in this space. Bentley Systems (NASDAQ:BSY) provides infrastructure engineering software with digital twin capabilities for large-scale infrastructure projects. PTC (NASDAQ:PTC) offers ThingWorx, a platform that enables digital twins in conjunction with industrial IoT systems. Autodesk (NASDAQ:ADSK), long known for its design tools, is now expanding its role in asset modeling and visualisation. AVEVA, now under Schneider Electric (EPA:SU), supplies industrial digital twin solutions with a focus on energy and utilities. Siemens (OTC Pink:SMAWF:ETR:SIE), through its Digital Industries division, integrates simulation and monitoring technologies across a range of industrial applications.
These companies demonstrate how digital twin technologies are being adopted across the industrial landscape. However, alongside these multinational players, smaller, agile firms are carving out focused niches, offering solutions tailored for specific operational needs and high-value sectors.
Spotlight: RemSense Technologies and virtualplant
One of the most compelling examples of this focused approach is RemSense Technologies (ASX:REM), an Australian technology company developing advanced visualisation tools for asset-heavy industries.
Its flagship platform, virtualplant, enables organisations to remotely visualise, manage and interact with their operational infrastructure through immersive, photorealistic digital twins.
Using photogrammetry, virtualplant creates a detailed visual record of an industrial site. Unlike traditional CAD models or schematic drawings, virtualplant replicates actual site conditions with photographic precision.
It integrates asset tags, operational data and annotations, allowing users to "walk through" facilities remotely — on a laptop or tablet — without needing specialist software or training.
RemSense's approach to digital twins emphasises accessibility, functionality and operational relevance. The platform is not just a visualisation tool; it supports a wide range of use cases, from remote maintenance planning and shutdown preparation to safety training and contractor onboarding. Because the platform integrates live asset data and supports contextual annotations, it serves as both a virtual environment and a centralised knowledge hub.
The company's collaborations with Tier 1 operators such as Woodside Energy Group (ASX:WDS,NYSE:WDS), Chevron (NYSE:CVX) and Newmont (TSX:NGT,NYSE:NEM) further illustrate the value of its offering.
These partnerships demonstrate the technology is not only deployable at scale but also trusted in some of the world’s most demanding operational environments. These clients use virtualplant to support pre-maintenance walkdowns, improve workforce training through virtual inductions and reduce the need for physical site visits — outcomes that directly translate into cost savings, reduced emissions and safer working conditions.
In a sector where even incremental gains in safety, uptime or efficiency can yield millions in savings, RemSense’s technology presents a cost-effective, high-leverage tool for modernising asset management.
Investor takeaway
The convergence of rising operational complexity, heightened ESG expectations and falling technology costs is driving a structural shift in how resource companies manage their assets. 3D visualisation and digital twins are moving from innovation labs to standard practice.
While large-cap players are expanding their digital offerings, smaller firms like RemSense occupy a compelling niche, offering flexible, deployable solutions tailored for real-world industrial environments.
For investors, this translates into several key takeaways:
- Market growth: The digital twin market is forecast to grow at a CAGR of 42.6 percent through 2028.
- Early stage advantage: Companies like RemSense are at the beginning of a broader adoption curve, offering long-term scalability.
- Strategic fit: As digitisation becomes essential for ESG and operational excellence, asset-heavy industries are likely to accelerate investment in these technologies.
This INNspired article is sponsored by RemSense Technologies (ASX:REM). This INNspired article provides information which was sourced by the Investing News Network (INN) and approved by RemSense Technologies in order to help investors learn more about the company. RemSense Technologies is a client of INN. The company’s campaign fees pay for INN to create and update this INNspired article.
This INNspired article was written according to INN editorial standards to educate investors.
INN does not provide investment advice and the information on this profile should not be considered a recommendation to buy or sell any security. INN does not endorse or recommend the business, products, services or securities of any company profiled.
The information contained here is for information purposes only and is not to be construed as an offer or solicitation for the sale or purchase of securities. Readers should conduct their own research for all information publicly available concerning the company. Prior to making any investment decision, it is recommended that readers consult directly with RemSense Technologies and seek advice from a qualified investment advisor.
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05 June
Web Summit 2025: AI Innovation, Investment Shifts and Global Tech Alliances Take Center Stage
The Vancouver edition of Web Summit took place last week, bringing 15,727 attendees from 117 countries together, including 159 partners, 681 investors and 50 trade delegations.
A record-breaking 1,108 startups across a range of tech-touching industries exhibited, showcasing their products, services and ideas, from groundbreaking biotech advancements to revolutionary sustainable energy solutions.
Artificial intelligence (AI) was a prominent feature across all these innovations, underscoring the rapid pace of technological advancement and its pervasive influence across all aspects of modern life.
Discussions revealed diverse opinions, with many emphasizing AI's practical usefulness, the economic viability of large language models and the importance of real-world value in AI research.
Self-described AI skeptic Gary Marcus, a scientist and author, proposed neuro-symbolic AI as a path to enhanced reliability. While pointing out the shortcomings of existing AI, such as ethical reasoning issues and hallucination tendencies, he acknowledged its worth, particularly in the field of biology.
The event provided a crucial snapshot of where the tech industry stands on AI, both in terms of technological advancements and its growing influence on investment and business strategy.
AI reshaping the investment landscape
Despite challenges in public and private markets, experts across multiple panels agreed that AI is fueling the rapid development of new markets, influencing capital allocation and funding trends.
Speakers on a panel focused on the current state of venture capital (VC) highlighted AI's potential to revolutionize the VC landscape, with Freestyle Capital general partner Maria Palma asserting that AI technology has revitalized the industry by creating new opportunities and altering market dynamics.
She argued that VCs are inherently optimistic, but must adapt to longer fund cycles and prioritize top talent migrating to startups, while also considering AI's influence on liquidity and the speed of company building and scaling.
Palma pointed to development platform Lovable, which brought in US$50 million in revenue in five months.
“You didn't see that 10 years ago in any company ... I think that the pace of ability to build and ability to attack different markets is different than it's ever been,” she told the Web Summit audience.
In another panel, Brett Gibson, managing partner at Initialized Capital, pointed to a broader shift toward authoring software and the potential for widespread fragmentation and consolidation in the software market. 500 Global CEO Christine Tsai discussed the volatility of emerging tech stacks, while Andy McLaughlin, managing partner at Uncork Capital, stressed the importance of spotting opportunities outside mega platforms.
The consensus was that AI is fueling new business models, pushing investors to rethink how value is defined.
AI transforming how businesses operate
During the "Smart Money in 2025"presentation, speakers Alfred Chuang of Race Capital and Wesley Chan of FPV Ventures emphasized that investors now see AI as the foundation of new hyper-focused platforms.
The industry-specific approach of legal tech unicorn Clio was showcased at the "Vertical Software is Eating the World" discussion, andhighlighted the growing interest in AI-powered vertical SaaS business models.
“There is a huge amount of opportunity that remains, and a disruptive opportunity to unseat the incumbents in software verticals today with AI native companies, and also an opportunity for incumbents in the space to embrace AI and tap into what is an exponential opportunity for AI,” Clio CEO Jack Newton told the audience.
Chuang elaborated on the transformative role of AI in the software industry. “I think SaaS has a huge opportunity for basically a re-up for all the different applications. We're going to see a whole new wave of apps. Now we can automate the process, and a process can write code to automate another process … these are opportunities we have never seen before. It's a very exciting time. We're going to be hugely more productive going forward.”
Chan stressed to the audience that AI utility matters more than AI branding, echoing Marcus’ earlier sentiment on its potential to increase productivity for life science companies. He cited recently announced results for Strand Therapeutics’ mRNA cancer drug, which was developed with the help of AI.
Uncork Capital’s McLoughlin pointed to Toronto-based software company Tailscaleas an example of a firm that is enabling core functionality for AI at scale without branding itself around AI.
“They build virtual private networks that have become fundamentally important to the AI economy. Every single (AI) hyperscaler is using Tailscale to network together this kind of global cluster of GPUs," he said.
"We didn't think about that when we first invested in 2019. We liked the idea of connected devices and people, but we never thought of a future where actually this would be a killer use case.”
Discussions also honed in on generative AI's uses in areas like customer service co-pilots and sales automation, and how AI agents are developing into more proactive partners, freeing human teams to focus on strategy. However, as AI agents begin to reason, act and potentially make decisions that carry real-world consequences, the conversation consistently circled back to the importance of accountability, privacy protection and regulation.
While agentic AI may not yet be mainstream, it’s quickly becoming a frontier for productivity, ethics and innovation.
Trade tensions recalibrating tech alliances
Speakers on the "All in on AI"panelalso discussedthe potential for emerging markets to provide liquidity and foreign buyers, noting the increasing importance of non-US markets in the context of regulatory changes.
“One thing that's really quite unprecedented about this wave versus other waves is just how much of a national agenda (AI) is for so many countries around the world,” said 500 Global's Tsai, noting that Silicon Valley still has its place among the great global founders. Palma shared that sentiment during "The State of Venture Capital" talk, adding that the bigger problem is not the listing exchange, but whether entrepreneurs still desire to go public at all.
The rise of non-US markets and a more globally dispersed talent pool are occurring against a backdrop of evolving international trade relations and policies. Several panels focused on the US-China relationship while addressing how tariffs are shaping the global tech economy, from talent acquisition to material sourcing.
Economist William Lazonick called out the inefficacy of the current tariff strategy in terms of encouraging innovation, highlighting Big Tech's underinvestment in research and development and prioritization of share buybacks.
Separately, Bison Ventures founding partner Tom Biegala noted the shift toward onshoring and AI-enabled robotics in manufacturing to enhance productivity and reduce labor costs. He also touched on opportunities in the defense tech sector, driven by the need for critical components to be US- or western-made for national security reasons.
“I think that has certainly been accelerated in today's environment, and it's bleeding over into a whole bunch of more traditional industries, from 3D printing to manufacturing of what are typically commodity components,” he said.
While much of the discussion focused on US policy, another takeaway was Canada's potential to thrive in a changing trade landscape, with several noteworthy announcements taking place throughout the week.
One came at a Bell press conference, where the telecommunications company unveiled Bell AI Fabric, an initiative to build a network of data centers across the country, with Kamloops as its first hub. Later, Diana Gibson, BC's minister of jobs, economic development and innovation, announced the expansion of the Integrated Marketplace Program with an additional C$30 million in funding, supporting over 30 startups across the province.
While the province supports its tech sector, challenges like high costs and regulations remain. Gibson and Rocky Tung, director and head of policy research at Hong Kong’s Financial Services Development Council, addressed BC's need for stronger ties, particularly in finance, VC and web3. Even so, Canada's stability and innovation ecosystem could be attractive to investors seeking a haven and fertile ground for growth amid international volatility.
Investor takeaway
Web Summit served as a vital forum for exploring the multifaceted impact of AI on the tech industry and beyond, highlighting its role as both a disruptive force and a catalyst for innovation.
As AI continues to reshape industries and markets, the insights shared at the Vancouver-based Web Summit provide a valuable roadmap for navigating the future of technology and investment.
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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05 June
Trump Admin Strips "Safety" from AI Oversight Institute in Move to Rebrand
The Trump administration announced a rebrand of the US Artificial Intelligence (AI) Safety Institute, stripping the word “safety” from the organization's title and mission.
The institute, once tasked with developing standards to ensure AI model transparency, robustness and reliability, will now be known as the Center for AI Standards and Innovation (CAISI). According to the announcement, its focus will be on enhancing US competitiveness and guarding against foreign threats, not constraining the industry with regulations.
The decision, announced on Tuesday (June 3) by US Secretary of Commerce Howard Lutnick, marks a sharp departure from the Biden-era posture on AI governance.
"For far too long, censorship and regulations have been used under the guise of national security. Innovators will no longer be limited by these standards,” Lutnick said in a statement.
“CAISI will evaluate and enhance US innovation of these rapidly developing commercial AI systems while ensuring they remain secure to our national security standards.”
Established in November 2023 under President Joe Biden’s executive order on AI, the original AI Safety Institute was housed within the National Institute of Standards and Technology (NIST). It aimed to assess AI risks, publish safety benchmarks and convene stakeholders in a consortium focused on responsible AI development.
But with the Trump administration’s return to the White House, the emphasis has shifted.
Instead of curbing AI risks through regulation and safety protocols, the renamed CAISI will now prioritize “pro-innovation” objectives, including the evaluation of foreign AI threats, mitigation of potential backdoors and malware in adversarial models and avoidance of what the administration sees as regulatory overreach from foreign governments.
According to the commerce department, CAISI’s primary tasks will include collaborating with NIST laboratories to help the private sector develop voluntary standards that enhance the security of AI systems, particularly in areas like cybersecurity, biosecurity and the misuse of chemical technologies. The center will also establish voluntary agreements with AI developers and evaluators, and lead unclassified evaluations of AI capabilities that may pose national security risks.
In addition to those directives, CAISI will lead comprehensive assessments of both domestic and foreign AI systems, focusing on how adversary technologies are being adopted and used, and identifying any vulnerabilities, such as backdoors or covert malicious behavior, that could pose security threats.
The center is also expected to work closely with the Department of Defense, the Department of Energy, the Department of Homeland Security, the Office of Science and Technology Policy, and the intelligence community.
CAISI will remain housed within NIST and will continue to work with NIST’s internal organizations, including the Information Technology Laboratory and the Bureau of Industry and Security.
Rise of foreign AI spurs national security concerns
The reformation of the institute reflects Trump’s broader AI strategy: loosen domestic oversight while doubling down on global AI dominance. Within his first week back in office, Trump signed an executive order revoking Biden’s prior directives on AI governance and removed his AI policy documents from the White House website.
That same week, he announced the US$500 billion Stargate initiative — a massive public-private partnership involving OpenAI, Oracle and SoftBank Group (OTC Pink:SOBKY,TSE:9984) that is intended to make the US the global leader in AI.
The Trump administration’s pivot has been partly catalyzed by growing concerns over foreign AI competition, particularly from China. In January, Chinese tech firm DeepSeek unveiled a powerful AI assistant app, raising alarms in Washington due to its technical sophistication and uncertain security architecture.
Trump called the app a "wake-up call,” and lawmakers quickly moved to introduce legislation banning DeepSeek from all government devices. The Navy also issued internal guidance advising its personnel not to use the app “in any capacity.”
Signs of an impending transformation had emerged earlier in the year.
Reuters reported in February that no one from the original AI Safety Institute attended the high-profile AI summit in Paris that month, despite Vice President JD Vance representing the US delegation.
Trump’s One Big Beautiful Bill reshaping US AI governance
Trump’s massive One Big Beautiful Bill, which includes much of the aforementioned legislation, is poised to dramatically reshape the landscape of AI regulation in the US. The bill introduces a 10 year moratorium on state-level AI laws, effectively centralizing regulatory authority at the federal level.
This move aims to eliminate the patchwork of state regulations, which the administration claims would foster a uniform national framework to bolster American competitiveness in the global AI arena.
The bill's provision to preempt state AI regulations has sparked significant controversy.
A coalition of 260 bipartisan state lawmakers from all 50 states has urged to remove this clause, arguing that it undermines state autonomy and hampers the ability to address local AI-related concerns. Critics also warn that the moratorium could delay necessary protections, potentially endangering innovation, transparency and public trust. They argue that it may isolate the US from global AI norms and reinforce monopolies within the industry.
Despite the backlash, proponents within the Trump administration assert that the bill is essential for maintaining US leadership in AI. The One Big Beautiful Bill is currently being debated in the US Senate.
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.
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29 May
NVIDIA Rallies After Strong Q1, AI Demand Outshines China Export Hit
NVIDIA (NASDAQ:NVDA) shares rose over 5 percent to hit US$142.50 on Thursday (May 29), extending a powerful rally that reflects Wall Street’s optimism in the chipmaker’s long-term trajectory
The company's positive performance came despite a bruising blow from US export restrictions to China.
The semiconductor giant, seen by many industry experts as the backbone of the global artificial intelligence (AI) boom, reported better-than-expected financial results for its first fiscal quarter of 2026 on Wednesday (May 28), allaying fears that geopolitical tensions and tighter trade controls could derail its momentum.
In the face of a projected US$8 billion revenue hit from the export ban on China and a US$4.5 billion writedown on unsold inventory, investors appeared to focus on NVIDIA's dominant position in the fast-expanding AI market.
“There is one chip in the world fueling the AI Revolution and it's Nvidia,” wrote Dan Ives, a tech analyst at Wedbush Securities. “That narrative is clear from these results and the positive commentary from Jensen.”
NVIDIA posted quarterly revenues of US$44.1 billion, beating consensus analyst estimates of US$43.3 billion. That's also a staggering 69 percent increase from the US$26 billion reported in the same quarter last year.
The company’s flagship data center division, which supplies AI chips to major clients like Microsoft (NASDAQ:MSFT) and Meta Platforms (NASDAQ:META), reported US$39.1 billion in sales.
Although that's a slight miss from Wall Street’s US$39.2 billion forecast, it's still up from US$22.5 billion last year.
“Our breakthrough Blackwell NVL72 AI supercomputer — a ‘thinking machine’ designed for reasoning — is now in full-scale production across system makers and cloud service providers,” said Jensen Huang, founder and CEO of NVIDIA.
“Global demand for NVIDIA’s AI infrastructure is incredibly strong. AI inference token generation has surged tenfold in just one year, and as AI agents become mainstream, the demand for AI computing will accelerate.”
Earlier this month, Huang traveled with US President Donald Trump to the Middle East, where the company reportedly secured orders for hundreds of thousands of chips from Saudi Arabia.
Yet NVIDIA's latest results also expose the mounting risks the firm faces as global trade policy tightens.
In recent months, Washington has sharply escalated restrictions on semiconductor exports to China, targeting chips like NVIDIA's H20 — a China-specific product designed to comply with US rules. The US Department of Commerce has banned shipments of these chips to Chinese firms, citing concerns about potential military applications.
The move forced NVIDIA to write off US$4.5 billion in H20 inventory, and the company estimates a US$2.5 billion revenue loss in the current quarter as a result. Huang placed the broader impact of the China restrictions at US$15 billion.
“The US$50 billion China market is effectively closed to US industry,” he said in an interview. “We are exploring limited ways to compete, but Hopper is no longer an option. China's AI moves on with or without US chips.”
While NVIDIA has previously indicated that it could redesign chips to meet evolving US export rules, Huang has become increasingly vocal in his criticism of Washington’s policy direction. Speaking to reporters after NVIDIA's earnings call, he described the restrictions as a “failure” that will ultimately hurt American companies more than Chinese rivals.
The pressure on NVIDIA intensified further this week, as the Financial Times reported that Trump has instructed US suppliers of chip-design software to halt sales to Chinese firms.
Nonetheless, NVIDIA's strong earnings, coupled with a federal court ruling blocking some of Trump’s proposed tariffs, have reassured investors. AI-driven demand appears robust enough to offset near-term geopolitical volatility.
For now, the markets have spoken — and they’re betting big on NVIDIA's future.
“Countries around the world are recognizing AI as essential infrastructure — just like electricity and the internet — and NVIDIA stands at the center of this profound transformation,” Huang emphasized post-earnings.
NVIDIA's share price spike this week put it on track for its highest close since January, and triggered a broader rally across the semiconductor sector.
Don't forget to follow us @INN_Technology for real-time news updates!
Securities Disclosure: I, Giann Liguid, hold no direct investment interest in any company mentioned in this article.
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09 May
Tech 5: OpenAI Restructures, Apple Pursues AI Search, Constellation Shares Jump
This week proved pivotal for the tech and energy sectors as market dynamics and the regulatory landscape shifted.
Apple (NASDAQ:AAPL) made waves by signaling a foray into artificial intelligence (AI) search and challenging app store regulations, while OpenAI underwent a major restructuring amid legal battles with Elon Musk.
Meanwhile, legislation targeting AI chip tracking gained momentum, and the nuclear energy sector saw increased activity with Ontario Power Generation's new reactor project and potential White House actions.
In addition to that, earnings reports from major tech players like Palantir Technologies (NASDAQ:PLTR), AMD (NASDAQ:AMD), Arm Holdings (NASDAQ:ARM) and Super Micro Computer (NASDAQ:SMCI) painted a complex picture of growth and challenges in a turbulent economic environment.
The interplay of innovation, regulation and market forces played out against a backdrop of trade developments between the US and the UK, with optimism regarding forthcoming negotiations with China boosting sentiment toward the end of the week.
Read on to dive deeper into this week's top stories.
1. Apple's App Store appeal, AI search plans and chip news
Apple is formally contesting last week’s judicial ruling mandating a reduction in its App Store commission.
The company filed an appeal against the order that would compel it to lower the existing 27 percent fee imposed on businesses offering links within their apps to external payment processing alternatives.
In related news, Apple executive Eddy Cue revealed during federal court testimony that the tech giant is investigating the development of its own AI-powered search engine for the Safari web browser. The news had an immediate impact on Alphabet’s (NASDAQ:GOOGL) shares, resulting in a 9 percent decline on Wednesday (May 7) afternoon.
In other news, Apple is reportedly making advances in its in-house silicon development.
The company is designing new proprietary chips intended to serve as the main central processing units for a range of future Apple products. These include anticipated devices such as smart glasses, more powerful iterations of its Mac computer line and specialized AI servers.
Combined with this week’s macroeconomic and geopolitical developments, Apple’s share price experienced turbulence, ultimately closing 2.25 percent below Monday’s (May 5) opening price on Friday (May 9).
2. OpenAI announces restructuring, acquisition and leadership changes
In a notable week for AI giant OpenAI, CEO Sam Altman shared a reorganization strategy on Monday, announcing that its operational arm will transition into a new public benefit corporation, with its non-profit arm acting as the primary shareholder. The decision follows talks with civic leaders and state attorneys general.
A person familiar with the matter told Business Insider that the new plan will let the company receive the full US$30 billion investment from SoftBank (TSE:9984). Meanwhile, sources told Bloomberg on Monday that Microsoft (NASDAQ:MSFT) and OpenAI are still in negotiations regarding a restructuring plan. A later report from the Information reveals that OpenAI plans to slash its 20 percent revenue-sharing agreement with Microsoft to 10 percent by 2030.
Regarding the ongoing legal dispute between Sam Altman and Tesla (NADAQ:TSLA) CEO Musk, who alleges that the company has strayed from its founding mission, Musk’s attorney, Marc Toberoff, told Reuters on Monday that the team intends to proceed with the lawsuit. Toberoff also called the restructuring a “cosmetic” move that turns charitable assets into private wealth, adding that “the founding mission remains betrayed.”
In other news, OpenAI made its largest acquisition to date this week, agreeing to buy AI-assisted coding tool Windsurf for about US$3 billion, and named ex-Instacart (NASDAQ:CART) CEO Fidji Simo as its new head of applications.
According to reports, Simo will manage operations and report directly to Sam Altman, who will retain his title as CEO. Altman will shift his focus to research, safety efforts and advancing artificial general intelligence.
3. AI chip regulatory developments
US Representative Bill Foster is preparing to introduce legislation aimed at tracking the location of AI chips, such as those produced by NVIDIA (NASDAQ:NVDA), after they are sold.
The proposed bill, first reported by Reuters on Monday, would task US regulators with developing rules to monitor these chips, ensuring they remain in authorized locations under export control licenses.
It would also seek to prevent unlicensed chips from being activated outside of authorized locations.
In other chip-related news, NVIDIA shares rose following news that the Trump administration plans to eliminate the so-called “AI diffusion rule.” However, a spokesperson from the US Department of Commerce clarified upcoming plans in a statement to CNBC’s Kif Leswing on Wednesday, commenting:
“The Biden AI rule is overly complex, overly bureaucratic, and would stymie American innovation. We will be replacing it with a much simpler rule that unleashes American innovation and ensures American AI dominance.”
The announcement highlights the Trump administration's intention to keep some guardrails in place to protect US interests, despite pushback from tech industry executives.
At a Congressional hearing on Thursday (May 8), OpenAI CEO Sam Altman emphasized the importance of maintaining US leadership in AI development. He cautioned against overregulation, warning that poorly designed rules could hinder America’s competitive edge, particularly against China.
4. Palantir, AMD, Arm and Super Micro share results
Palantir’s Q1 revenue rose 39 percent year-on-year to US$884 million, driven by demand for its data analytics software in the US. The company expects demand to continue, forecasting Q2 revenue between US$934 million and US$938 million. Palantir’s share price fell by 8 percent after hours as investors anticipated even stronger results. The company posted a loss of 5.6 percent for the week after a volatile week for tech stocks, as overvaluation concerns persist.
Advanced Micro Devices' Q1 earnings report shows quarterly revenue of US$7.4 billion, an annual increase of 36 percent, with adjusted earnings per share of US$0.96. Despite an initial 7 percent stock surge following a positive quarterly report, AMD shares fell following the company's announcement of a projected US$1.5 billion revenue decrease this year, attributed to US government limitations on the sale of AI chips to China.
Palantir, Super Micro, AMD and Arm performance, May 6 to 9, 2025.
Chart via Google Finance.
For Q4 2024, Arm Holdings reported quarterly revenue of more than US$1 billion for the first time in its history, but forecast revenue and profit for Q1 2025 below Wall Street estimates, resulting in a 4 percent slump on Thursday morning
Super Micro Computer’s net sales increased from US$3,85 billion in Q3 2024 to US$4.6 billion, while the company's earnings per share fell year-on-year from US$0.66 to US$0.17.
The company lowered its full-year revenue guidance from US$23.5 billion to US$25 billion, down to US$21.8 billion to US$22.6 billion, with trade war-induced uncertainty and increasing competition cited as obstacles to growth. The company’s share price opened over 5 percent lower the next day and fell by over 3 percent this week.
5. Constellation shares jump, White House plans reactor push
Shares of Constellation Energy (NASDAQ:CEG) rose nearly 10 percent in two days ahead of the Tuesday (May 6) release of its Q1 earnings report, which revealed revenue that exceeded expectations by over 20 percent.
Later, during an earnings call, CEO Joe Dominguez said the company was close to inking multiple long-term deals to provide nuclear power to meet surging energy demands, further bolstering investors’ optimistic outlook.
In another significant development within the nuclear energy sector, Ontario Power Generation said it has secured the necessary approvals to commence construction on the first of four small modular reactors (SMR) designed by GE Verona (NYSE:GEV), which will be located at the company’s Darlington site near Toronto.
The Darlington project is anticipated to be the first deployment of this particular SMR technology within a G7 nation.
Separately, Axios reported on Tuesday that sources familiar with the matter say the White House is in the final stages of preparing executive actions intended to accelerate the deployment of nuclear reactors. These plans, reportedly under consideration for several weeks, could be officially announced imminently.
On Friday, NPR said its reporters have seen a draft of such an order. According to the report, the order instructs the Nuclear Regulatory Commission (NRC) to send new reactor safety guidelines to the White House for review and possible amendments. The draft also calls for a reduction of NRC’s staff and a “wholesale revision of its regulation” in coordination with the administration and the Department of Government Efficiency.
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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