Author: Techtime

EWP to develop Digital Twin Platform for Sea Wave Energy Technology

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image above: An illustration of a digital model of a wave energy generation system. Source: EWP.

Eco Wave Power Global (EWP) announced that its wholly owned U.S. subsidiary, Eco Wave Power U.S, has entered into an agreement with Germany-based AI engineering GmbH to develop a physics- and data-driven Digital Twin platform for Eco Wave Power’s proprietary wave energy technology. Both Eco Wave Power U.S. and AI engineering are members of the NVIDIA Inception program.

Under the agreement, the companies have commenced Phase 1 of the project, combining advanced physics-based simulation with EWP’s real-world engineering, wave and operational data. The initial phase will focus on digitally modeling how ocean waves interact with EWP’s proprietary floaters. Using AI engineering’s PAMICS simulation technology, the companies will evaluate floater behavior, structural loads and theoretical energy input under different sea conditions.

“For us, AI is an opportunity to fundamentally improve how we understand, design, predict and ultimately operate wave energy systems,” said Inna Braverman, Founder and CEO of EWP. “Phase 1 of this collaboration is therefore very practical. We will model wave loading, floater behavior, structural forces and theoretical energy input, while beginning to develop machine-learning capabilities for forecasting loads and energy yield. Importantly, we will also examine how those models can be transferred to new sites with different wave conditions.”

Digital representation of EWP system

AI engineering is specializes in applied fluid mechanics, numerical flow simulation and high-performance computing. Its PAMICS technology is a particle-based multiphysics simulation framework designed for complex fluid-dynamics and fluid-structure interaction applications. “Wave energy is a particularly challenging engineering problem because it combines complex free-surface fluid dynamics, structural motion, and highly variable environmental conditions,” said Dr. Stefan Adami, Co-Founder and General Manager of AI engineering GmbH.

“Our goal is to create a physics-based digital representation of Eco Wave Power’s system that links high-fidelity simulation with operational data. This approach allows us to better understand energy capture, structural loading, and system behavior across a wide range of sea states. Combining these physics models with ML can support more accurate forecasting, design optimization, and scalable deployment of wave energy technology.”

Michal Braverman-Blumenstyk to Leave Microsoft After 13 Years

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Michal Braverman-Blumenstyk, General Manager of Microsoft Israel R&D and CTO of the company’s global Security division, has announced that she will leave Microsoft at the end of 2026, after 13 years with the company. Braverman-Blumenstyk has led Microsoft’s Israel R&D center for the past six and a half years. Microsoft said it will announce her successor at a later date.

Her departure is also significant for Microsoft’s global cybersecurity operations. Braverman-Blumenstyk has effectively held two roles in parallel: leading Microsoft’s broader R&D organization in Israel while also serving in a senior technology role within the company’s global security organization.

Braverman-Blumenstyk joined Microsoft 13 years ago to establish and lead its cloud security group in Israel. She later became one of the founders of the company’s Cloud + AI Security division and, following the consolidation of Microsoft’s security operations, was appointed CTO of Microsoft Security. Over the years, she played a role in developing and launching products that became key parts of Microsoft’s cybersecurity portfolio, including Microsoft Sentinel and Microsoft Defender for Cloud, and was also involved in strategic cybersecurity acquisitions.

As CTO, Braverman-Blumenstyk has focused on identifying emerging technologies and new growth areas for Microsoft’s Security division. In recent years, her responsibilities have also included shaping the company’s security strategy for the AI era. Microsoft is developing, among other technologies, AI agents capable of autonomously performing security tasks, alongside tools designed to secure AI models and agents themselves.

Microsoft’s First R&D Center Outside the US

Microsoft established its Israel R&D center in 1991, making it the company’s first development center outside the United States. Today, it comprises dozens of development groups working across cybersecurity, cloud computing, artificial intelligence, analytics and software products. The center contributes to several major Microsoft organizations, including Security, Cloud & AI Platform, and Experiences & Devices.

During Braverman-Blumenstyk’s six and a half years at the helm, the center doubled its workforce and expanded its operations across six sites in Israel. Over the same period, Israel has become one of Microsoft’s key global development hubs for cybersecurity.

Braverman-Blumenstyk has more than two decades of experience in cybersecurity and holds a master’s degree in computer science from Columbia University, where she specialized in artificial intelligence.

In an email to employees, she wrote: “I’ve had the privilege of leading the Israel Development Center for the past six and a half years, and it is the part of my journey I am most proud of.” She also referred to the period since October 7, highlighting the resilience and perseverance of the center’s employees.

Microsoft has not yet announced who will succeed Braverman-Blumenstyk as head of its Israel R&D center, nor has it said how her global responsibilities as CTO of the Security division will be reassigned.

[Photo: Netanel Tovias]

Effect Meta: Lumus Ramps Up Production

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[Pictured: Meta’s Ray-Ban Display glasses. Credit: Meta]

By Yohai Schwiger

Israeli company Lumus, based in Ness Ziona, is expanding its manufacturing capabilities ahead of the next generation of AR and AI glasses. The company has signed a new licensing agreement with Taiwanese manufacturing giant Quanta Computer, under which Quanta will manufacture Lumus’ next-generation waveguides, including the Z-30 2.0 and the new A-Lens family. The new products were designed to be thinner, lighter and less expensive to manufacture, making them better suited for high-volume production of consumer AR glasses.

The agreement comes as the smart glasses market begins to transition from a niche segment into a meaningful consumer category. One of the major milestones was the launch of the Meta Ray-Ban Display in September 2025. Unlike previous generations of Ray-Ban Meta glasses, which featured cameras, speakers and an AI assistant but no display, the new model incorporates a color display into one of the lenses, allowing users to view messages, navigation directions, translations and information generated by Meta AI.

The waveguide used in these glasses is based on Lumus technology. The component enables a digital image to be projected into the user’s eye without obstructing their view of the surrounding environment. According to market research firm TrendForce, Meta initially ordered about 80,000 Lumus waveguides, but later increased the order by approximately 87.5% to 150,000 units in response to demand. In January, Meta also postponed expanding sales of the glasses beyond the U.S. due to limited inventory and stronger-than-expected demand, with waiting lists stretching well into 2026.

A Partnership Spanning Nearly a Decade

Quanta is not a new partner for Lumus. The relationship between the companies began in 2016, when Quanta invested in the Israeli company. In 2017, Lumus completed a $43 million funding round backed by investors including Quanta and Alibaba, and the two companies signed a licensing agreement that same year aimed at bringing Lumus technology into mass production.

Quanta, which generated approximately $68 billion in revenue in 2025, is one of the world’s largest ODM manufacturers, producing computers, servers, AI systems and other electronics for major technology companies. In recent years, it has also expanded its presence in smart glasses. In March 2026, for example, Quanta signed a multi-year manufacturing agreement with Innovega to scale production of its smart glasses.

Lumus also works with another major manufacturing partner, German glassmaker SCHOTT, which manufactures its waveguides at a facility in Malaysia. According to Lumus, the two partners together provide production capacity of more than six million units. More than 200,000 Lumus waveguides have been manufactured and shipped to date for consumer, defense and medical applications, with the company reporting manufacturing yields of more than 95%.

Tiny Mirrors Inside the Lens

Founded in 2000, Lumus develops geometric, or reflective, waveguide technology. The waveguide receives an image from a miniature projector, guides the light through the glass and redirects it toward the user’s eye through an array of tiny reflective surfaces embedded within the lens. At the same time, the user continues to see the real world through the transparent lens.

Lumus’ architecture differs from diffractive waveguides, which use microscopic optical structures to manipulate and direct light. According to the company, its approach provides higher optical efficiency, greater color uniformity and lower light leakage. This allows for a smaller projector and lower power consumption, both critical parameters for devices intended to look and feel like ordinary eyeglasses.

The new generation to be manufactured by Quanta is intended to further address the size and cost constraints of consumer glasses. The Z-30 2.0 provides a 30-degree field of view in a thinner and lighter optical engine, with improved brightness and the ability to directly attach a prescription lens to the waveguide. The A-Lens family will be available with 30-degree and 50-degree fields of view and, according to Lumus, is approximately 50% thinner and lighter than previous generations while being designed from the outset for lower-cost manufacturing.

Lumus initially focused primarily on markets where component cost was less of a constraint. Its technology has been incorporated into Thales’ Scorpion display for fighter pilot helmets, Augmedics’ xVision surgical navigation system and Lenovo’s ThinkReality A6 smart glasses. Its integration into the Meta Ray-Ban Display represents a significant step into the consumer market.

The broader market is now approaching a potential inflection point. TrendForce estimates that global AR glasses shipments will increase 53% this year to approximately 950,000 units. At the same time, the broader success of Meta’s AI glasses portfolio is attracting additional players to the category and increasing pressure to reduce weight, power consumption and component costs. For Lumus, the new Quanta agreement is intended to ensure that its next generation of optics is ready if and when the market moves from hundreds of thousands of glasses to millions of units.

Innoviz Appoints Yoav Har-Even as Chairperson

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photo above: Yoav Har-Even

Innoviz Technologies announced that its Board of Directors has appointed Yoav Har-Even, a member of the Board, to serve as Chairperson, effective immediately. Har-Even succeeds Amichai Steimberg, who has elected to step down as Chairperson after leading the Board since the Company’s listing on Nasdaq in April 2021. Mr. Steimberg will continue to serve as a member of the Board.

Har-Even joined the Board of Innoviz in July 2026. Prior to that, he served as President and Chief Executive Officer of Rafael Advanced Defense Systems from 2016 to 2024, where he led the company’s global operations, technology development, manufacturing and international business activities. Prior to joining Rafael, Har-Even served for more than three decades in the Israel Defense Forces, retiring with the rank of Major General (Ret.). Currently he serves also as chairperson of Sindiana Technologies and as a member of the advisory boards of Ondas Holdings and Massivit 3D Printing Technologies.

Innoviz provides LiDAR technology and is serving as a Tier-1 supplier to the world’s leading automotive manufacturers. Its LiDAR sensors and complementary software suite are designed to deliver accurate 3D sensing even in harsh weather conditions. These days Innovi extends its existing sensing solutions into defense, homeland security, industrial, and smart infrastructure markets.

“Mr. Har-Even’s appointment as Chairperson reflects the strategic weight defense and security now carry for Innoviz” said Omer Keilaf, Founder and CEO of Innoviz. “His experience leading Rafael and his years at the highest levels of the IDF give the Board deep insight into this space, strengthening Innoviz’s ability to scale in these markets.” Har-Even added: “Defense and security represent a substantial opportunity for the Company, and LiDAR is becoming a critical sensing layer in areas such as counter-UAS, unmanned ground vehicles, and perimeter security.”

Lately Innovis announced record revenue of $18.1 million in Q2, and is expecting to reach 2026 annual revenue of $67–$73 million. Keilfaf: “Our partnerships with VW, Mobileye, Daimler Truck, and others are on track. W recently announced the development of a LiDAR-based perception stack with a top 10 global OEM. We believe the combination of the automotive market and the defense and security markets has the potential to create a flywheel effect, as we work to become a premier worldwide supplier of best-in-class LiDAR solutions.”

Unique Battle Management Platform

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By Roni Lifshitz

Elbit Systems’ Swedish subsidiary, Elbit Systems Sweden AB, unveiled its Tactical High Mobility Shelter (THMS) system at the DALO exhibition in Denmark. The system serves as a mobile battlefield networking platform designed to support dispersed, digitally connected forces. The project has undergone significant changes. In January 2023, Elbit reported that its subsidiary, Elbit Systems Sweden, had been awarded a contract worth approximately $48 million to supply tactical communications shelters to the Swedish Defence Materiel Administration (FMV). However, over the following three years, key lessons from the war in Ukraine began to emerge, prompting a major transformation of the project. The changes were significant enough for Elbit to publish a dedicated blog post titled “From Static Bases to Mobile Networks.”

In the article, Elbit explains that in its updated configuration, the project reflects a broader shift in the way land forces operate: communications systems, sensors and command capabilities must move as quickly as the forces they support.

“The war in Ukraine has reinforced the need for highly mobile and dispersed operations,” explained Christian Tengelin, Director of Business Development at Elbit Systems Sweden. “The modern battlefield requires units to establish connectivity, operate and relocate very quickly. Remaining in one location for too long can rapidly lead to detection and targeting.”

The War in Ukraine Changed the Mission Requirements

Elbit Systems Sweden employs approximately 120 people. Tengelin said that the scope of the THMS program has expanded considerably. The Swedish Ministry of Defence redefined the system’s intended role, and what began as a project to replace an existing capability in the Swedish Armed Forces evolved into a broader change in the way the Swedish military operates dispersed forces.

“In countries with large territories and long borders, the challenge is not simply moving personnel and vehicles from one location to another. Units deployed across wide areas must remain connected to one another and to higher command levels, while retaining the ability to rapidly deploy sensors, communications equipment and other mission systems.”

The new version of THMS was developed and is manufactured in Sweden, based on a European supply chain. It is designed for operational deployment in harsh environments, including extreme weather and Arctic conditions. The system enables military forces to rapidly establish elevated communications and sensing capabilities without relying on fixed infrastructure or static command posts.

It is equipped with a telescopic mast that can reach a height of up to 25 meters and carry mission payloads weighing up to 100 kg. In practice, it now serves as a multi-mission platform supporting the integration of a wide range of payloads and mission capabilities, including tactical communications, electronic warfare (EW) systems, surveillance and observation systems, electro-optical and infrared (EO/IR) sensors, satellite communications (SATCOM), tactical 5G technologies and high-power laser (HPL) capabilities.

The mast can carry a variety of mission-specific payloads, including communications equipment, ISTAR sensors and Counter-UAS systems. The system operates as a fully self-contained unit with an integrated power-generation system, enabling autonomous operation for up to 24 hours without relying on the vehicle carrying it.

The mast’s automatic deployment mechanism and unique automated guy-wire system allow the THMS to be set up in less than five minutes, while reducing the workload on operators in the field. Notably, it can operate in both crewed and remotely operated unmanned configurations.

Elbit said that future development is expected to move toward higher levels of autonomy—meaning the system could eventually evolve into an almost robotic platform. “Future land operations will depend on the ability to connect dispersed forces, sensors and effectors in real time,” said Tobias Wennberg, CEO of Elbit Systems Sweden.

Foresight Faces Reality, and Seeks New Businesses

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By Roni Lifshitz

photo above: VisionWave’s VARAN platform is expected to use Foresight’s vision system

Israel-based Foresight Autonomous Holdings is seeking new areas of activity, as its core business—computer vision systems for vehicles and robotic platforms—has failed to generate significant revenues. In an announcement published this week, the company stated:

“The Company is evaluating opportunities to expand its business activities into additional technology sectors, including AI-based technologies and applications, cybersecurity or data centers, including through a possible acquisition. The evaluation is part of Foresight’s broader effort to identify new business opportunities and potential growth areas beyond its current activities.

“The evaluation process is at an early stage, and no decision has been made regarding entry into any new market or the pursuit of any specific acquisition. Foresight has not established a timetable for completing the evaluation process, and no decision has been made at this stage regarding any potential transaction. The Company does not intend to provide details regarding its evaluation of potential opportunities until it determines that further disclosure is appropriate or required. There can be no assurance as to the outcome or timing of the evaluation process, or that any particular transaction will be pursued or completed.”

The company was founded in 2015 by CEO and Chairman Haim Siboni and Chief Technology Officer Levi Tzruya to develop three-dimensional (stereoscopic) computer vision systems for the automotive and autonomous mobility industries. Foresight developed QuadSight, a computer vision system for advanced driver assistance systems (ADAS) and autonomous driving. The company’s system uses two infrared cameras and two visible-light cameras. This configuration is designed to provide stereoscopic (3D) vision that mimics human vision. In the past, the company reported that tests it conducted showed that the system achieved obstacle detection rates approaching 100% under all weather and lighting conditions.

Rescue Deal Falls Through

The latest announcement does not amount to an admission that the company’s technology has failed. Its technology has attracted considerable interest, and Foresight has signed numerous technology collaboration agreements with major companies. However, it has failed to turn that technology into a significant sales engine. Despite more than a decade of activity and tens of millions of dollars raised, its sales declined by 8.7% in 2025, totaling just $398,000. The largest component of its revenue, amounting to $162,000, was a payment for the completion of a proof-of-concept project with Elbit Systems. Over the full year, the company lost more than $12 million.

About two months ago, Foresight attempted to carry out what amounted to a rescue deal with U.S.-based VisionWave, which operates in the defense sensor and AI market. The agreement was signed in June 2026. Under its terms, VisionWave was to acquire 52% of Foresight’s shares in exchange for VisionWave shares with a total value of approximately $17.5 million. The transaction valued Foresight at approximately $34 million. On July 23, 2026, Foresight shareholders voted against the agreement, and it was not approved. As a result, the transaction was terminated and did not proceed, leaving Foresight to continue operating as an independent company.

Today, Foresight trades on Nasdaq at a market capitalization of only about $5 million, while the VisionWave transaction has effectively been scaled back to a technology collaboration. Last week, the two companies announced a preliminary agreement to integrate Foresight’s vision system into VisionWave’s VARAN platform, a modular unmanned ground vehicle (UGV) platform.

The companies expect the strategic collaboration to encompass technology development and integration, autonomous systems, advanced sensing, defense robotics, demonstrations, proof-of-concept (POC) programs, customer evaluations, business development, as well as opportunities for serial production and potential commercialization.

Why Anthropic May Pay $6 Billion for Decart

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Above: Decart’s two flagship models: Oasis, which generates interactive worlds in real time, and Lucy, which enables real-time live video transformation. Both run on the company’s DOS optimization infrastructure. Source: Decart AI

AI company Anthropic is in talks to acquire Israeli startup Decart AI for approximately $6 billion, according to Bloomberg. Reuters separately confirmed through a source that discussions are underway, although no deal has been finalized and there is no certainty that one will be reached.

If completed, it would be a massive transaction for a company that only in May raised $300 million at a valuation of approximately $4 billion. Nvidia and SpaceX have also previously been reported as showing interest in Decart. But the more interesting question than the price tag is what exactly Anthropic sees in Decart that could be worth billions of dollars.

At first glance, Decart may look like a generative AI company specializing in video and “world models.” The company developed Lucy, which enables users to transform live video through text instructions — replacing characters or backgrounds and adding objects and effects, for example — while maintaining a frame rate of 30 frames per second.

It also developed Oasis, an interactive world model designed, among other applications, for simulations involving robots and autonomous vehicles. Unlike a conventional simulation engine, the model itself generates the environment and how it evolves in response to actions taken by a user or AI agent.

But these products tell only half the story. Underneath them lies what may be the technology of greatest interest to Anthropic: the Decart Optimization Stack, or DOS.

Decart’s premise is that a significant portion of the computing power available in AI accelerators is not being used optimally. DOS is a software layer that performs deep optimization across the stack — from hardware-aware model design to kernels, memory management, compilers and inference optimization.

The technology supports multiple architectures, including Nvidia GPUs, Google TPUs and AWS Trainium. The objective is straightforward: extract more work from the same chip, allowing AI models to run faster and at lower cost.

Decart already offers these capabilities as a service to chipmakers, hyperscalers and AI labs, allowing customers to bring their own workloads and have kernels and compilers optimized for them. It has also launched Cogito, an inference layer for open-source language models.

According to Decart, its technology can in some cases deliver speeds roughly five times faster than a typical inference provider and exceed 1,000 tokens per second in certain configurations. These are company-reported figures, but they illustrate the kind of asset Anthropic may be targeting.

Getting More From Every GPU

For Anthropic, the technology addresses one of the biggest challenges in the AI business: the enormous cost of compute.

As Claude evolves from a model that simply answers questions into a system of AI agents that perform lengthy tasks, write code, operate tools and repeatedly call the model to “think” about their next step, inference demand rises dramatically. Any improvement in throughput or accelerator utilization can therefore translate directly into substantial cost savings.

Reuters estimated that if Anthropic’s compute spending were to reach approximately $56 billion under a scenario in which the company generates $100 billion in revenue, even a 10% improvement in compute efficiency could theoretically be worth $5.6 billion annually. Viewed from that perspective, a $6 billion price tag for a company capable of materially improving infrastructure efficiency begins to look considerably less surprising.

There is another clue. According to reports about the negotiations, Decart employees are expected to join Anthropic’s Inference and Performance organization. If that happens, it would be a strong indication that the primary objective is not to turn Claude into a video-generation model, but to bring Decart’s expertise in AI model optimization directly into Anthropic’s infrastructure.

From Unit 8200 to Claude’s Infrastructure

Decart was founded in 2023 by Dr. Dean Leitersdorf and Moshe Shalev, who met while serving in Unit 8200, the Israeli military’s elite technology and intelligence unit.

Leitersdorf, the company’s CEO, holds three computer science degrees from the Technion – Israel Institute of Technology, including a PhD, while Shalev serves as chief product officer. The company has raised funding from prominent investors including Sequoia, Nvidia, Benchmark, Radical Ventures and Zeev Ventures.

In its latest funding round in May, Decart explicitly presented DOS as the infrastructure underlying its two main model families: Lucy for interactive experiences and Oasis for Physical AI.

That may be the best way to understand Decart: not as a video AI company that happens to have developed optimization technology, but as an AI optimization company that built real-time video and world models to demonstrate what its infrastructure can do.

The company describes its ambition simply: to make AI operate “at the speed of reality.”

For Anthropic, which is competing in a market where the cost of running a model is becoming almost as important as the model’s capabilities, that technology could be worth a great deal of money.