Month: October 2026

Controlled study in 50 healthy adults suggests accelerated learning, improved executive efficiency and stronger behavioral coordination.

ROCKAWAY, N.J.,, Oct. 27, 2026 (GLOBE NEWSWIRE) — electroCore, Inc. (Nasdaq: ECOR) (“electroCore” or the “Company”), a commercial-stage bioelectronic medicine and wellness company, today announced findings presented by the United States Air Force Research Laboratory (AFRL) of a controlled functional magnetic resonance imaging (fMRI) study evaluating transcutaneous cervical vagus nerve stimulation (tcVNS) during complex visual skill learning.

The study, titled “Enhanced Skill Learning via Cervical Transcutaneous Vagus Nerve Stimulation: A Neuroimaging Perspective,” was conducted by the AFRL. The investigators used electroCore’s patented tcVNS technology to examine behavioral performance and brain activity during a visual pattern-recognition task designed to model elements of Intelligence, Surveillance, and Reconnaissance (ISR) analyst training.

The results suggest that tcVNS influences how the brain coordinates sequential decisions and recruits task-relevant visual and executive-control networks during learning. The study provides mechanistic evidence supporting the use of tcVNS in complex perceptual learning contexts.

Study Design

Fifty healthy airmen participated in the five-day study and were divided equally between active and sham stimulation groups. Participants learned to identify target vehicles and detect changes in vehicle position within grayscale synthetic-aperture radar images while investigators measured neural activity using task-based and resting-state MRI.

The first day established baseline performance. On Days 2 through 4, participants received active or sham tcVNS during training, and Day 5 assessed follow-up performance. The stimulation protocol targeted the cervical vagus nerve using the gammaCore Sapphire device.

Findings

• Strengthened behavioral coordination: Mixed-effects modeling indicated a stronger relationship between target-identification reaction time and subsequent change-detection reaction time in the active tcVNS group, suggesting improved coordination across sequential cognitive operations rather than a simple increase in average performance.
• Accelerated learning: On Day 2, the active tcVNS group showed significantly (p<0.05) greater activation in specific areas of the brain associated with visual learning compared with the sham group.

• Reduced long term demand: During later sessions, the active tcVNS group showed lower activation of specific brain regions associated with performing the study tasks, a pattern the investigators interpreted as a reflection of reduced executive demand as the task became more practiced.
• Lasting changes in brain activity: Advanced machine learning analyses revealed distinct patterns of brain activity in participants receiving active stimulation compared to sham, suggesting that stimulation may improve how the brain processes information following training.

Taken together, the behavioral and imaging findings support the potential for tcVNS to be deployed as a tool for supporting the neural processes involved in complex perceptual learning required across a range of training environments. The full results of this study will be published in a peer-reviewed journal at the discretion of AFRL.

About electroCore, Inc.
electroCore, Inc. is a bioelectronic technology company whose mission is to improve health and quality of life through innovative non-invasive bioelectronic technologies. The Company’s two leading prescription products, gammaCore® non-invasive vagus nerve stimulation and Quell® neurostimulator, treat chronic pain syndromes through non-invasive neuromodulation technology. The Company also commercializes its handheld personal-use Truvaga™ and TAC-STIM™ nVNS products, which use bioelectronic technologies to promote general wellness and human performance.

For more information, visit www.electrocore.com.

Forward-Looking Statements

This press release and other written and oral statements made by representatives of electroCore may contain forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. Such forward-looking statements include, but are not limited to, statements regarding the potential implications of publication, validation or replication of research involving non-invasive vagus nerve stimulation; the possible development, regulatory review or commercialization of technologies or products for human performance, wellness, learning or other applications; the Company’s future business strategies, growth opportunities, prospects, product development and market expansion; and other statements that are not historical in nature, particularly those using terms such as “anticipates,” “will,” “expects,” “believes,” “intends,” “may,” “potential” and similar expressions.

Actual results could differ materially from those projected in any forward-looking statement because of numerous factors, including the preliminary nature of the findings described in this release; the limited size, population and simulated-task design of the study; the need for additional analysis, replication and peer review; uncertainties inherent in developing new products or technologies; the Company’s ability to obtain any required regulatory clearances or approvals for new products or indications; the ability to commercialize products; the performance, adoption and market acceptance of non-invasive vagus nerve stimulation products; electroCore’s results of operations and financial performance; inflation and currency fluctuations; competition in the industry; and overall economic and market conditions.

Forward-looking statements speak only as of the date of this press release. electroCore assumes no obligation to update any forward-looking statement or the reasons actual results could differ from those projected, except as required by law. Investors should review the information in this release together with the risk-factor disclosures in electroCore’s reports and other documents filed with the U.S. Securities and Exchange Commission at www.sec.gov.

Contact:
ECOR Investor Relations
(973) 302-9253
investors@electrocore.com

References

1.   Kilmarx, J. (2026, September). Enhanced skill learning via cervical transcutaneous vagus nerve stimulation: A neuroimaging perspective [Conference presentation]. 2026 IEEE Research and Applications of Photonics in Defense Conference (RAPID), Miramar Beach, FL, United States.

With the Flatiron Institute and leading European research institutions, Pasqal used its 256-qubit processor to observe an unexpected slowdown in a 2D quantum magnet, in a regime that current theory and classical simulations cannot yet reliably predict.

Key Takeaways

• Pasqal’s quantum processor has moved from reproducing known physics to revealing behavior that theory did not predict, a key step toward quantum computers becoming tools that generate new scientific insight.
• On Pasqal’s 256-qubit neutral-atom processor, a 2D quantum magnet took far longer to settle after being disturbed than theory predicts.
• The behavior emerges in a regime that current theory and state-of-the-art classical simulation cannot yet reliably predict, the kind of problem where quantum processors are expected to add value.
• The team modeled the device’s noise and cross-checked against exact calculations to assess the results. The preprint, with the Flatiron Institute and four European institutions, builds on an earlier work in which the same processor reproduced the behavior of a real magnetic crystal.

PARIS, Oct. 27, 2026 (GLOBE NEWSWIRE) — Pasqal (Nasdaq: PSQL), a global leader in neutral-atom quantum computing, today announced that its 256-qubit quantum processor has revealed an unexpected behavior in a two-dimensional quantum magnet: under certain conditions, the system takes far longer to settle after being disturbed than theory predicts. The results, released as a preprint with the Flatiron Institute, the University of Augsburg, Forschungszentrum Jülich, the University of Regensburg and the Institut d’Optique–CNRS, were obtained in a regime where three state-of-the-art classical simulation methods no longer agree with one another.

A regime theory cannot yet predict
The researchers abruptly pushed the magnet out of equilibrium, a sudden change physicists call a quench and expected it to settle quickly into a new stable state, as most systems do. Under one set of conditions, it didn’t. The result marks a shift in how quantum processors can be used in research: not only to reproduce what scientists already know, but to reveal behavior they did not anticipate.

The system in question is a quantum magnet: a grid of interacting atomic spins described by one of the reference models of magnetism. Models like this are deliberately simplified, but they capture behavior physicists’ study across many magnetic materials, including how magnetic information spreads through a system. In two dimensions, that turns out to be remarkably hard to predict, and hardest of all once the system has been pushed out of equilibrium, where current theory offers no reliable answer.

That is precisely the regime Pasqal set out to explore, in two stages. Earlier this year, in a study released as a preprint, conducted with MagLab, Los Alamos National Laboratory and the University of Tennessee, Pasqal’s 256-qubit processor reproduced the behavior of a real magnetic crystal and matched laboratory measurements with a high level of quantitative agreement, an important benchmark for using the machine as a scientific instrument.

In the new study, carried out with the Flatiron Institute, and the University of Augsburg, Forschungszentrum Jülich, the University of Regensburg, the Institut d’Optique–CNRS, the team used the same platform to go further: not to reproduce known physics, but to explore beyond it.

Three ways to settle, one unexplained
Watching a 16×16 grid of atoms relax after a sudden change, the team found the system could settle in three different ways depending on the strength of the applied field. Two were expected. The third was not: an abrupt slowdown, in which the system takes far longer to settle than theory predicts. The team says plainly that it cannot yet explain it.

That unexplained behavior appears exactly where classical computation runs out of road. Three different state-of-the-art methods were run alongside the experiment; all three track the processor at first, then peel away from the measurement, and from each other, as the complexity building inside the system outgrows what they can represent. Beyond that point, none of them can reliably describe what happens next, while the quantum processor’s results stay consistent as the system grows.

Before drawing any conclusions, the team confirmed the behavior was genuine physics and not an artifact of an imperfect machine, modeling the device’s noise and cross-checking against exact calculations where those remain reliable.

A second finding broadens the platform’s reach. Under a strong enough field, the magnet begins to behave like a fundamentally different kind of magnet, known as an XY-like magnet. Such systems are also studied for spin transport, the way magnetic information travels through a material, opening a wider range of physical systems to study on the same processor.

“This is what makes quantum computing so exciting: we are not simply reproducing what we already know, but uncovering behavior we did not expect,” said Loïc Henriet, CTO at Pasqal. “There is still much we don’t understand about quantum materials, and quantum processors can help us explore these new frontiers.”

“I am really excited to see quantum computing companies and experts in classical simulation working together to understand and observe new physics. Comparing results from the quantum devices and different classical simulations and understanding where we can trust them and where we can’t is extremely important. This is much more beneficial than just trying to prove quantum advantage as it leads to interesting physics results like we have here that will stand the test of time,” said Joseph Tindall, Associate Research Scientist at the Flatiron Institute’s Center for Computational Quantum Physics.

The findings do not constitute a demonstrated computational quantum advantage. Instead, they provide evidence of the potential for quantum processors to serve as complementary scientific tools in regimes where existing theoretical and computational methods face significant challenges.

The results are available in a preprint published on arXiv, titled “Exploring the Relaxation Landscape of a 2D Quantum Magnet on a 256-Qubit Processor”. A companion blog post “Unexpected relaxation in a 2D quantum magnet on a 256-qubit processor,” provides a more detailed look at the scientific findings for technical readers.

About Flatiron Institute
The Flatiron Institute is an internal division of the Simons Foundation dedicated to advancing fundamental science through computational discovery. Researchers at its Center for Computational Quantum Physics division are dedicated to developing the advanced methods necessary to address and understand the quantum many-body problem.

About Pasqal
Pasqal (Nasdaq: PSQL) helps organizations tackle problems that are difficult or impossible to solve with conventional computing methods alone. Founded in 2019 on Nobel Prize–winning research, Pasqal builds and operates neutral-atom quantum computers, delivered with a full software stack, for industry, science, and governments. Pasqal’s production-ready systems are available both on-premises and through the cloud, enabling organizations to harness quantum computing without requiring in-house quantum expertise. A single hardware platform supports analog workloads today and is designed to evolve toward fault-tolerant quantum computing in the future.

Headquartered in France with operations globally, Pasqal’s quantum computing systems are used by customers across energy, financial services and advanced materials to address complex challenges. Pasqal’s customers include Saudi Aramco, Crédit Agricole CIB, LG Electronics and supported by partnerships with NVIDIA and IBM (Pasqal is part of the IBM Quantum Network).

Forward-Looking Statements 
Certain statements herein may be considered “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. Forward-looking statements generally are accompanied by words such as “believe,” “may,” “might”, “will,” “estimate,” “continue,” “anticipate,” “intend,” “expect,” “should,” “would,” “could,” “plan,” “predict,” “project”, “forecast,” “potential,” “seem,” “seek,” “target,” “possible,” “future,” “outlook” or similar terminology or expressions that predict or indicate future events or trends. These forward-looking statements include, but are not limited to, statements regarding future events, including Pasqal’s ability to accelerate global deployment of its quantum computing platform.

These statements are based on current expectations and are not predictions of actual performance. They are provided for illustrative purposes only and must not be relied on as a guarantee, prediction or definitive statement of fact or probability. Actual events and circumstances are difficult or impossible to predict and are beyond the control of Pasqal. These statements are subject to known and unknown risks and uncertainties and assumptions regarding Pasqal’s business, and actual results may differ materially. These risks and uncertainties include, but are not limited to: general economic, political, social and business conditions; uncertainty or changes with respect to laws and regulations; risks related to Pasqal’s indebtedness; the risk from Pasqal pursuing an emerging technology, facing significant technical challenges and the potential that it may not achieve commercialization or market acceptance; Pasqal’s reliance on strategic partners and other third parties; Pasqal’s ability to maintain, protect and defend its intellectual property rights; and other risks that will be detailed from time to time in filings with the U.S. Securities and Exchange Commission (the “SEC”). The foregoing list of risk factors is not exhaustive. There may be additional risks that Pasqal does not know or currently believes are immaterial that could also cause actual results to differ from those contained in forward-looking statements. In addition, forward-looking statements provide Pasqal’s expectations, plans and forecasts of future events and views as of the date of this communication. While Pasqal may elect to update these forward-looking statements in the future, Pasqal specifically disclaims any obligation to do so. 

Contacts

Investors
investors@pasqal.com

Media
pr@pasqal.com

HONG KONG, Oct. 27, 2026 (GLOBE NEWSWIRE) — 3 E Network Technology Group Limited (Nasdaq: MASK) (the “Company” or “3 E Network”), a business-to-business (“B2B”) information technology (“IT”) business solutions provider committed to becoming a next-generation artificial intelligence (“AI”) infrastructure solutions provider, today detailed the capital allocation plan for the proceeds of its recently announced $5.0 million private placement (the “Private Placement”). In response to growing enterprise AI infrastructure demand, this financing is designed to strengthen the Company’s balance sheet and financial flexibility. The proceeds are expected to be allocated in accordance with the Company’s established strategic roadmap, focusing on underlying technology research and development (“R&D”), compute infrastructure construction, and supply chain working capital management.

Addressing the “Memory Wall” Bottleneck to Advance the Full-Stack AI Storage Strategy and Controller R&D

Within current AI compute architectures, data throughput and storage bottlenecks, recognized industry-wide as the “Memory Wall,” can represent significant constraints on enterprise-grade AI inference efficiency. Building upon the previously announced initial validation of its AI storage controller architecture and core data flow algorithms, a dedicated portion of the financing proceeds will be utilized to advance the proprietary controller into its next R&D phase. This includes advancing the front-end register-transfer level design and initiating field-programmable gate array prototyping.

This R&D investment is a component of 3 E Network’s “full-stack AI storage strategy.” The Company intends to progressively integrate the proprietary controller into hardware devices such as memory, solid-state drives, and all-flash servers. By optimizing chip-level data flow efficiency, the Company aims to deliver competitive, integrated hardware and software solutions to B2B clients, thereby strengthening its technological capabilities in AI infrastructure.

Advancing Early-Stage Infrastructure and Power Deployment at the Mikkeli Green Compute Center in Finland

In conjunction with the recently executed 9 MVA grid connection agreement, another primary use of the financing is to support the Company’s AI compute center project in Mikkeli, Finland. Following the confirmation of its core grid connection arrangement, the project is advancing into the infrastructure adaptation and early-stage engineering phase as planned.

Designated funds are expected to be used for early-stage site structural modifications to meet the engineering requirements of high-density AI servers regarding load-bearing capacity, thermal aisles, and physical space. Concurrently, the funds will support the planning of the internal power distribution network and the preliminary procurement of core power distribution and switchgear equipment. By securing critical long-lead-time components in advance, the Company aims to mitigate potential delays in the global supply chain. Furthermore, the technical team plans to use a portion of the proceeds to conduct internal network topology testing and the initial development of the compute orchestration architecture, with the aim of supporting the compute center’s transition to the server deployment and commercial operation phases according to schedule.

Optimizing Supply Chain Working Capital to Support Bulk Enterprise Hardware Fulfillment and Core Operations

In addition to technology and infrastructure projects, this financing is also intended to support the Company’s core operations. The cross-border distribution of bulk, high-end enterprise IT hardware (such as all-flash arrays and high-density storage servers) typically involves a prolonged cash conversion cycle and significant upfront working capital requirements.

Regarding the recently disclosed approximately $5.0 million core storage hardware order, the financing proceeds are expected to supplement the working capital required for supply chain operations. This measure is intended not only to assist the Company in securing more favorable commercial terms in procurement and absorbing supply chain lead-time fluctuations, but also to provide working capital support for existing large orders and potential future B2B bulk procurements, thereby supporting the cash flow management of the Company’s core business.

Management Participation Reflects Confidence in Long-Term Strategy

In this $5.0 million Private Placement, Dr. Tingjun Yang, the Company’s Chief Executive Officer, subscribed to approximately $2.1 million through an affiliated entity, representing over 40% of the total subscription amount. This transaction structure, which closely aligns management and shareholder interests, conveys to the capital markets a positive expectation from the management team regarding the Company’s current business fundamentals and the execution prospects of its dual-engine strategy.

Management Commentary

Dr. Tingjun Yang, Chief Executive Officer of 3 E Network, stated, “In the AI infrastructure sector, the ability to translate technological innovation into commercially viable solutions is critical for corporate development. The substantive participation of the management team in this financing reflects our confidence in the Company’s ability to execute its business plans. The Company will continue to adhere to a disciplined approach to capital allocation while steadily advancing our strategic objectives.”

Dr. Yang added, “The allocation of this $5.0 million has clear strategic directives: by supplementing working capital, we aim to safeguard current hardware deliveries and maintain a healthy cash position; by advancing the early-stage infrastructure of the Finnish center, we plan to secure medium-term compute service scale; and by progressing the R&D of the AI storage controller, we are committed to building long-term technological assets. The Company will ensure that capital is effectively deployed into business nodes with strategic compound value, with the objective of generating sustainable long-term value for our shareholders.”

About 3 E Network Technology Group Limited
3 E Network Technology Group Limited is a business-to-business (“B2B”) information technology (“IT”) business solutions provider committed to becoming a next-generation artificial intelligence (“AI”) infrastructure solutions provider. It upholds the industry consensus of “AI and energy symbiosis” and has a strong vision in the field of energy investment. The Company’s business comprises two main portfolios: the data center operation services portfolio and the software development portfolio. For more information, please visit the Company’s website at https://3emask.com/.

Forward-Looking Statements
Certain statements in this announcement are forward-looking statements. These forward-looking statements involve known and unknown risks and uncertainties and are based on the Company’s current expectations and projections about future events that the Company believes may affect its financial condition, results of operations, business strategy, and financial needs. Investors can identify these forward-looking statements by words or phrases such as “approximates,” “assesses,” “believes,” “hopes,” “expects,” “anticipates,” “estimates,” “projects,” “intends,” “plans,” “will,” “would,” “should,” “could,” “may” or similar expressions. The Company undertakes no obligation to update or revise publicly any forward-looking statements to reflect subsequent events or circumstances, or changes in its expectations, except as may be required by law. Although the Company believes that the expectations expressed in these forward-looking statements are reasonable, it cannot assure you that such expectations will turn out to be correct, and the Company cautions investors that actual results may differ materially from the anticipated results and encourages investors to review other factors that may affect the Company’s future results in the Company’s registration statement and other filings with the U.S. Securities and Exchange Commission.

For more information, please contact:

3 E Network Technology Group Limited
Investor Relations Department
Email: ird@3emask.com
Website: https://3emask.com/

Deployment Brings 24/7 Access to Everyday Essentials Steps from Residents’ Doors and Provides Property Owners with a High-Visibility Amenity with Zero Operational Burden

From Site Preparation to Go-Live within Two Weeks with Smart Store Launch Targeted for November 11, 2026

LAS VEGAS, Oct. 27, 2026 (GLOBE NEWSWIRE) — VenHub Global, Inc. (NASDAQ: VHUB) (“VenHub” or the “Company”), a leader in fully autonomous Smart Store technology, today announced it will install a VenHub Smart Store at a multifamily residential complex located on North Las Vegas Boulevard in Las Vegas, Nevada. Site preparation for the new installation will begin October 28, 2026, with the opening of the Smart Store expected on November 11, 2026.

The deployment marks VenHub’s first multifamily residential complex Smart Store in its home market of Las Vegas and follows the Company’s recently announced expansion into the multifamily sector with its planned deployment at Penn Lofts in Bend, Oregon. It reflects growing demand from property owners and managers seeking new ways to enhance the resident experience, differentiate their properties, and capture everyday convenience spend on-site without having to manage the operations of the store.

“Las Vegas is our home base, and bringing a VenHub Smart Store to a multifamily community here is an important milestone as we scale our residential strategy,” said Shahan Ohanessian, Founder and CEO of VenHub. “Residents get a store that never closes, right where they live. Owners get an amenity that helps them lease, retain, and stand out, with no inventory, staffing, or retail operations to manage. We manage everything, and the store quickly becomes a daily-use landmark for the community.”

Convenience Built Into Where Residents Live
The VenHub Smart Store will give residents access to snacks, beverages, household essentials, and everyday products 24 hours a day, seven days a week, on their schedule rather than a store’s. Key resident benefits include:

• 24/7 Access, Zero Compromise: Residents can shop for everyday needs at any hour, with no drive, no line, and no wait.
• An Amenity Built for Real Life: Night-shift workers, parents, remote workers, and residents without easy access to transportation gain an essential service steps from their door.
• Essentials When It Matters Most: Late nights, early mornings, and quick runs that once meant leaving home no longer do.
• Fewer Car Trips and Delivery Fees: On-site access reduces trips off property and reliance on third-party delivery platforms, helping residents save time and avoid added delivery and service fees.

A Leasing and Retention Advantage for Property Owners
For owners and property managers, the VenHub Smart Store delivers a tech-forward, autonomous retail amenity that can be showcased on every leasing tour, without the cost or complexity of running a retail operation. VenHub’s autonomous Smart Stores operate without on-site cashiers or property staffing responsibilities, and VenHub manages the inventory, restocking, and retail operations. Key property owner and manager benefits include:

• Higher Resident Satisfaction, Stronger Retention: Daily convenience strengthens the resident experience and supports lease renewal performance.
• Smarter Use of Property Space: VenHub’s autonomous Smart Store footprint activates underutilized space without requiring a traditional convenience-store footprint.
• Built-In 24/7 Security: The integrated monitoring in every VenHub Smart Store adds a round-the-clock security presence on the property.
• Supports On-Property Spend: The store captures convenience spend that would otherwise leave the community.
• A Premium, Future-Ready Profile: Property owners committing to this highly visible technology amenity signal their willingness to invest in the future of living, helping to attract technology-forward renters and positioning their property ahead of market norms in residential retail convenience.

Launch Timeline
VenHub Smart Stores are designed to be delivered, installed, and fully operational in less than two weeks from site preparation to go-live. The expected timeline for the launch of this new Smart Store is:

• Site preparation begins: Wednesday, October 28, 2026
• Installation begins: Monday, November 2, 2026
• Smart Store launch: Wednesday, November 11, 2026

VenHub Smart Stores operate 24 hours a day without on-site staff and combine robotics, AI-driven inventory management, and mobile-first checkout to deliver a fast, secure, and fully autonomous shopping experience. The Company continues to evaluate additional multifamily opportunities and expects to provide updates as its residential strategy develops.

Developers, apartment owners, and property managers interested in collaborating with VenHub should contact the Company at hello@venhub.com or visit https://www.venhub.com/partners-and-opportunities/become-a-smart-store-owner.

About VenHub
VenHub Global, Inc. (NASDAQ: VHUB) is focused on fully autonomous Smart Store technology. The Company develops automated retail solutions intended to enable convenient, unattended retail experiences across a range of locations and customer environments. VenHub’s Smart Store platform is designed to support scalable deployment, 24/7 product availability, and retail access in locations where a traditional staffed store may not be feasible. For more information, visit www.venhub.com.

Forward-Looking Statements
This press release contains forward-looking statements within the meaning of applicable federal securities laws. Forward-looking statements include, but are not limited to, statements regarding the planned installation, timing and launch of a VenHub Smart Store on North Las Vegas Boulevard; the anticipated functionality, accessibility, convenience, security, product availability and other benefits of the store for residents and property owners; anticipated effects on leasing, resident satisfaction, retention and on-property spend; and the Company’s plans to evaluate additional multifamily properties and expand deployments. Words such as “anticipate,” “believe,” “can,” “could,” “designed,” “expect,” “intend,” “may,” “opportunity,” “plan,” “potential,” “should,” “target,” “will,” and similar expressions are intended to identify forward-looking statements, although not all forward-looking statements contain these words. These statements are based on the Company’s current expectations, assumptions and information available as of the date of this release and are subject to risks, uncertainties and other factors that could cause actual results to differ materially, including, but not limited to: site readiness, permits, approvals, utility and connectivity requirements; the availability and timely delivery of equipment, components and inventory; the performance, reliability, security and maintenance of the Smart Store technology; resident adoption and demand; acceptance of autonomous retail amenities by property owners and managers; the costs and economic viability of individual deployments; competition and general economic and real estate market conditions; applicable regulatory and contractual requirements; and other risks and uncertainties described in VenHub’s filings with the U.S. Securities and Exchange Commission. Forward-looking statements speak only as of the date of this release. VenHub undertakes no obligation to publicly update or revise any forward-looking statement, whether as a result of new information, future events or otherwise, except as required by applicable law.

Media and Investor Contacts
VenHub Global, Inc.
Alyssa Barry
Director of Investor Relations and Public Relations
Alyssa@VenHub.com

Richard Land
Alliance Advisors
vhub@allianceadvisors.com

– Firefly’s AI foundation model, being built on more than 200,000 standardized EEG/ERP brain scans, bolsters its long-term BCI growth opportunity –

– With over 3,000 Versus headsets shipped, the platform generates commercial revenue as Firefly pursues higher long-term growth opportunities in the evolving BCI and AI ecosystem –

KENMORE, N.Y., Oct. 27, 2026 (GLOBE NEWSWIRE) — Firefly Neuroscience, Inc. (“Firefly” or the “Company”) (NASDAQ: AIFF), an artificial intelligence (“AI”) company advancing precision neuroscience and non-invasive brain-computer interface (BCI) technology, today provided an update on its non-invasive brain-computer interface (“BCI”) strategy, highlighting the role of its commercially available Versus platform in pursuing the human-performance market.

Building on the Versus commercial launch, Firefly is outlining how the platform fits within its broader strategy to translate brain signals into practical applications across brain health and human performance. Versus combines a wireless EEG headset with interactive training software, enabling users to control simulation and other apps through real-time brainwave activity.

“Versus gives Firefly a commercial presence in non-invasive brain-computer interfaces today,” said Greg Lipschitz, Chief Executive Officer of Firefly. “Today, users can put on a wireless headset and influence flight and driving simulations through real-time brainwave activity. Our opportunity is to build on that experience with other applications that are accessible, engaging and relevant to other performance-focused customers.”

Turning Brain Signals into Interactive Training

Versus uses dry-sensor EEG to measure brainwave activity and transmit signals wirelessly to its first app. Flight and driving simulations respond to targeted brain-activity patterns, providing immediate feedback as users practice maintaining focus and regulating their brain state, while session-level tracking allows users to monitor their progress over time.

This combination of portable hardware, personalized training and interactive software provides a foundation for Firefly to pursue opportunities in additional human-performance applications.

Connecting Today’s BCI Applications with Firefly’s Brain Foundation Model Strategy

Versus complements Firefly’s previously announced initiative to build what the Company believes would be the world’s first EEG/ERP-based foundation model of the human brain, connecting commercial products with its longer-term investment in AI and brain data.

While Versus deploys real-time EEG feedback for interactive human-performance training, Firefly’s foundation model initiative aims to use broader patterns in brain activity by harnessing its U.S. Food and Drug Administration (FDA) 510(k)-cleared Evoke platform, its proprietary database of more than 200,000 standardized EEG/ERP scans, its AI, and NVIDIA GPU acceleration.

Firefly believes these capabilities could ultimately enable more personalized training, more sophisticated interpretation of brain signals and new non-invasive BCI applications, subject to further development and validation.

“Versus and our foundation model initiative connect two strategic priorities: understanding brain activity more deeply and translating that understanding into new biomarker discoveries and practical products,” said Greg Lipschitz, Chief Executive Officer of Firefly. “Versus provides a commercial application today, while our foundation model project could create opportunities to contribute to the broader BCI and AI ecosystem. As BCI continues to evolve with innovators such as Elon Musk’s Neuralink, Sam Altman’s Merge Labs, and others advancing their respective technologies, we believe Firefly’s focus on standardized EEG/ERP data and AI could position us as a valuable contributor to this exciting new field and create additional avenues for long-term commercial growth and shareholder value.”

About Firefly Neuroscience

Firefly Neuroscience, Inc. (NASDAQ: AIFF) is an Artificial Intelligence (“AI”) company advancing precision neuroscience, applying AI and large-scale electrophysiological data to give clinicians a more complete, objective picture of how an individual patient’s brain is functioning. Firefly’s proprietary database consists of over 200,000 EEG/ERP brain scans, which the Company believes to be the world’s largest known standardized EEG/ERP repository. Firefly’s EEG-based, AI-driven, and FDA-510(k)-cleared Evoke™ System is designed to support diagnostic and treatment monitoring methods for conditions such as depression, dementia, anxiety disorders, concussions, ADHD, and PTSD.

Please visit www.fireflyneuro.com for more information.

Forward-Looking Statements

Certain statements in this press release may constitute “forward-looking statements” for purposes of the federal securities laws concerning Firefly, including statements relating to Firefly’s management team’s expectations, hopes, beliefs, intentions, or strategies regarding the future. In addition, any statements that refer to projections, forecasts or other characterizations of future events or circumstances, including any underlying assumptions, are forward-looking statements. The words “anticipate,” “believe,” “contemplate,” “continue,” “could,” “estimate,” “expect,” “intends,” “may,” “might,” “plan,” “possible,” “potential,” “predict,” “project,” “should,” “will,” “would” and similar expressions may identify forward-looking statements, but the absence of these words does not mean that a statement is not forward-looking. These forward-looking statements are based on current expectations and beliefs concerning future developments and their potential effects. There can be no assurance that future developments affecting Firefly will be those that have been anticipated. These forward-looking statements involve a number of risks, uncertainties (some of which are beyond Firefly’s control) and other assumptions that may cause actual results or performance to be materially different from those expressed or implied by these forward-looking statements. These risks and uncertainties include, but are not limited to, those factors described under the heading “Risk Factors” in the reports and other filings of Firefly with the Securities and Exchange Commission. Should one or more of these risks or uncertainties materialize, or should any of Firefly’s assumptions prove incorrect, actual results may vary in material respects from those projected in these forward-looking statements. It is not possible to predict or identify all such risks. Forward-looking statements included in this press release only speak as of the date they are made, and Firefly does not undertake any obligation to update or revise any forward-looking statements, whether as a result of new information, future events or otherwise, except as may be required under applicable securities laws.

Investor & Media Contact

Stephen Kilmer
(646) 274-3580
stephen.kilmer@fireflyneuro.com

Due to increased lending cost in the underlying asset Tobii AB, Nordea will increase the Base Rate Margin of all affected Bear Certificates. The Base Rate Margin of Bear Certificates with Leverage Factor -1 will increase to 21,5%, Bear Certificates with Leverage Factor -2 will increase to 42,5% and Bear Certificates with Leverage Factor -3 will increase to 63,5%. The change will be in effect from October 28, 2026. All affected instruments can be found in below list:

ISIN	Instrument
SE0026588816	BEAR TOBI X1 NDA S
SE0026588808	BEAR TOBI X2 NDA S
SE0026872814	BEAR TOBI X3 NDA S1
SE0028786236	BEAR TOBI X3 NDA S2

The affected instruments have been issued under Nordea’s base prospectuses dated December 13, 2024; and December 12, 2025.

Attachment

• Börsmeddelande Tobii