NVIDIA Corporation

Rising demand for real-time intelligence and electronic awareness is fueling rapid growth across the global AI-enabled defense systems market

NEW YORK, April 21, 2026 /CNW/ -- Market News Updates News Commentary - Autonomous systems powered by AI video intelligence and RF-based detection are quickly becoming a core layer of modern military operations because they help forces "see" the battlefield faster and react earlier than human-only systems ever could. AI-driven video analytics can scan huge volumes of drone feeds, surveillance cameras, and ISR platforms in real time to identify vehicles, personnel movement, or unusual behavior patterns automatically. That means commanders aren't waiting on analysts to review hours of footage--they're getting alerts instantly. This is a big reason the military-focused AI video surveillance segment alone was valued around $655 million in 2024 and is expected to climb to about $3 billion by 2030, showing how quickly defense organizations are investing in visual intelligence tools.  Active Companies in the AI/military/defense operations issuing news of recent include:  VisionWave Holdings Inc. (NASDAQ: VWAV), AeroVironment, Inc. (NASDAQ: AVAV), Ondas Inc. (NASDAQ: ONDS), Leonardo DRS, Inc. (NASDAQ: DRS), NVIDIA Corporation (NASDAQ: NVDA).

RF-powered detection adds another critical layer because it can spot signals from drones, radios, and other electronic emitters even when targets aren't visible on camera. When combined with AI video intelligence, these systems create what defense teams call "sensor fusion"--basically merging visual data with radio-frequency awareness so autonomous platforms can track threats across environments like urban areas, borders, or contested airspace. This kind of layered detection is especially important for counter-drone missions, where the global counter-UAS market alone is projected to jump from roughly $2.08 billion in 2025 to over $19 billion by 2035 as militaries try to keep up with the explosion of unmanned threats.

Looking at the bigger picture, autonomous AI-enabled defense systems built around video analytics, RF sensing, and edge decision-making are becoming a centerpiece of next-generation warfare strategy. Governments want platforms that can detect threats earlier, operate in GPS-denied environments, and reduce risk to personnel--and autonomous sensor-driven systems check all those boxes. That's one reason the broader AI-in-defense market is expected to grow from about $9.13 billion in 2025 to roughly $29.48 billion by 2035, with autonomous warfare technologies playing a major role in that expansion. Overall, combining AI video intelligence with RF-based detection isn't just a technical upgrade--it's quickly turning into a baseline capability for modern situational awareness, counter-drone defense, and real-time battlefield decision-making.

VisionWave (NASDAQ: VWAV) Announces Strategic Investment in Foresight Autonomous Holdings and Integration with xClibre™ AI Video Intelligence - VisionWave Holdings Inc. ($VWAV) ("VisionWave" or the "Company") today announced a signed non-binding term sheet for a strategic investment in Foresight Autonomous Holdings Ltd. (Nasdaq: FRSX), under which VisionWave will acquire up to 51% of Foresight's outstanding shares in exchange for $17.5 million in VisionWave equity. This transaction follows VisionWave's April 10, 2026 acquisition of the xClibre™ AI video intelligence IP portfolio, independently valued at approximately $60 million.

Together, these two transactions are intended to enhance VisionWave's capabilities for defense, security, and critical infrastructure customers worldwide.

THE TECHNOLOGY CASE - Modern defense and security environments demand sensing systems that can detect, identify, classify, and act -- across multiple domains simultaneously.  VisionWave now believes that the combination of modalities may provide the architecture that seeks to this gap with enhanced performance.

The convergence of these three layers -- RF detection, multi-spectral computer vision, and AI-driven video analytics -- with the goal of offering synergies by producing a perception capability beyond what any single-modality company can deliver. RF tells you something is there. Foresight's optics tell you where it is and how it's moving. xClibre tells you what it's doing and whether it is a threat.

INTEGRATED ARCHITECTURE - This architecture is intended to reduce false-positive response rates while accelerating detection-to-decision timelines.

WHY THIS COMBINATION IS UNIQUE - Today, perception technology across defense and security is fragmented. RF specialists don't build video AI. Video AI vendors don't build RF. Autonomous systems integrators buy from multiple vendors and stitch together incompatible stacks. It is the goal of VisionWave to eliminate this fragmentation.

The combination of Foresight's camera-based perception platform -- with its deep IP in stereo vision, obstacle detection, and real-time processing -- and xClibre's AI video intelligence layer seeks to create a visual sensing capability that is architecturally designed to complement RF, not compete with it. The intended result is a heterogeneous sensing stack where each modality strengthens the others: RF provides range and all-weather coverage; optics provide classification and confirmation; AI video analytics provide context, pattern recognition, and actionable intelligence.

"We are not building another sensor company. We are building the intelligence layer that sits above sensors -- one that can take inputs from RF, from cameras, from thermal imaging, and from AI video analytics, and translate them into decisions and actions. The intended Foresight investment and the xClibre acquisition are the two building blocks that make that architecture real. Together, it is our goal to put VisionWave on a technology footing that we believe is genuinely differentiated."  -- Douglas Davis, Executive Chairman & CEO, VisionWave Holdings, Inc.  Continued…  Read this full release and additional news for VWAV by visiting: https://finance.yahoo.com/quote/VWAV/news/

Other recent developments in the defense/military/AI industries of note include:

AeroVironment, Inc. (NASDAQ: AVAV), a global defense technology leader, announced it was awarded a $14.6 million production contract by the U.S. Army for the VAPOR® Compact Long Endurance (CLE) unmanned aircraft system (UAS), its all-electric vertical takeoff and landing (VTOL) platform, under the Company-Level Directed Requirement (CoLvl DR) Small Uncrewed Aircraft System (SUAS), Tranche 2.

The award supports the Army's Medium Range Reconnaissance (MRR) initiative, one of the Army's ongoing unmanned systems procurements.

"Being selected for the Company-Level Directed Requirement validates VAPOR CLE's performance, adaptability, and mission value," said Jason Hendrix, Vice President and General Manager of SUAS at AV. "This award reflects AV's commitment to delivering operationally relevant, rapidly deployable solutions that meet the Army's urgent needs and evolving mission requirements."

Ondas Inc. (NASDAQ:ONDS), a leading provider of autonomous aerial and ground robot intelligence through its Ondas Autonomous Systems (OAS) business unit and private wireless solutions through Ondas Networks, announced that its subsidiary, 4M Defense has received an $10 million order as part of the recently announced $50 million demining program related to the $1.7 billion Eastern Border Security Barrier initiative led by the Israeli Ministry of Defense.

The award represents the initial phase of execution under the recently announced tender and expands Ondas' active demining operations. The contract is part of a broader border security initiative led by the Israel Ministry of Defense, where large-scale land clearance is required to support the development of new infrastructure along Israel's eastern border, including the evacuation of legacy minefields to enable construction of a new security fence system.

Leonardo DRS, Inc. (NASDAQ: DRS) announced it has successfully integrated its Maritime Mission Equipment Package (M-MEP) on an autonomous unmanned surface vessel (AUSV), delivering a new counter-unmanned aerial system (C-UAS) capability designed to detect, track, identify, and defeat aerial unmanned threats operating in the maritime domain. Built for rapid integration on crewed and uncrewed platforms, the solution provides a mission-ready layer of protection for ships, ports, littoral infrastructure, and expeditionary forces facing an increasingly complex drone threat environment.

"Aerial unmanned threats are evolving quickly -- in range, autonomy, and numbers," said Cari Ossenfort, senior vice president and general manager of the Leonardo DRS Naval Electronics business unit. "The M-MEP is engineered to help the U.S. Navy and allied forces stay ahead of that threat with a modular package that brings sensors, command and control, and defeat options together into one integrated capability that can be fielded fast."

NVIDIA Corporation (NASDAQ: NVDA) provides advanced AI-driven detection solutions primarily through NVIDIA Morpheus, an application framework that allows cybersecurity developers to create optimized pipelines for filtering, processing, and classifying large volumes of real-time data. These solutions leverage accelerated computing to improve threat detection and anomaly identification, often operating up to 600X faster than CPU-only servers.

By deploying AI to protect valuable data and digital operations, industries can focus their resources on innovating better products, improving customer experiences and creating new business value.

NVIDIA offers a number of tools and frameworks to help enterprises swiftly adjust to the evolving cyber risk environment. The NVIDIA Morpheus cybersecurity framework provides developers and software vendors with optimized, easy-to-use tools to build solutions that can proactively detect and mitigate threats while drastically reducing the cost of cyber defense operations. To help defend against phishing attempts, the NVIDIA spear phishing detection AI workflow uses NVIDIA Morpheus and synthetic training data created with the NVIDIA NeMo generative AI framework to flag and halt inbox threats

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Nvidia's top 1% AI engineer leaves world's most valuable company to lead self-storage's first Chief AI Officer role at 10 Federal

RALEIGH, N.C., April 6, 2026 /PRNewswire/ -- 10 Federal, a leading technology-driven self-storage owner and operator, today announced the appointment of Christopher Taylor as its Chief A.I. Officer (CAIO), a newly created executive position that represents the first dedicated C-suite AI role in the self-storage industry. Taylor joins 10 Federal from Nvidia (NASDAQ: NVDA), the global leader in AI computing, where he served as a Senior Software Engineer working across both the data center division and the autonomous vehicle platform, and ranked among the top 1% of AI users within the company.

The appointment reflects 10 Federal's continued commitment to building, not just adopting, the technology that powers its operations. Since acquiring its first self-storage facility in 2015, 10 Federal has developed a proprietary automated management platform that includes AI-powered voice agents, predictive analytics, automated access control, drone-based security, and AI-driven property auditing. These are capabilities the company built in-house, not purchased off the shelf.

"We didn't look within the self-storage industry for this role because the talent we needed doesn't exist here yet. We searched the AI space itself. The truth is simple: no other company in self-storage could have attracted someone from Nvidia. You don't recruit from Nvidia by accident. You cannot attract this caliber of person without this caliber of platform. Chris didn't leave the most valuable company in the world to come work in self-storage. He left to come work at 10 Federal. There is a difference."

-- Andrew Capranos, President of 10 Federal

Taylor brings over a decade of experience at the intersection of artificial intelligence, embedded systems, and safety-critical software development, working across Nvidia's data center and autonomous vehicle divisions. He led AI-driven automation initiatives that compressed debugging and validation timelines from weeks to days, delivered safety-critical production software, and supported international product deployments across North America, Europe, and Asia. Prior to Nvidia, Taylor held engineering roles at Northrop Grumman and Fishbowl Digital, and currently serves as Head Instructional Associate for the Master's-Level IT Security Program within Georgia Tech's Master of Science in Computer Science, one of the most highly regarded graduate programs in the country.

"I spent years at Nvidia working on systems where a bad line of code doesn't cause a bug, it causes a recall. That standard follows you. When I evaluated 10 Federal, I found a company already running AI in production at a level most operators in this industry haven't even conceptualized yet. 10 Federal is already doing it. My job is to take that foundation and accelerate it, to build an AI architecture that makes every part of this platform smarter, faster, and harder to compete against. Not a feature. The core operating system that is 10 Federal. That's exactly the kind of challenge I came here for."

-- Christopher Taylor, Chief A.I. Officer of 10 Federal

In his role, Taylor will oversee the development and integration of AI across 10 Federal's entire operational ecosystem. That includes the company's proprietary voice agent, Taylor (a coincidental namesake), which already handles inbound and outbound customer calls, generates work orders, and audits properties around the clock. It also includes next-generation pricing intelligence, automated security monitoring, and predictive maintenance systems.

10 Federal's track record of technology leadership spans more than a decade of industry firsts. The company pioneered the remote-managed facility model, developed its own proprietary work order and business intelligence systems, deployed AI-powered cameras and drone-based security, launched the DaVinci Lock system for automated contactless access now used in 1 out of every 6 storage facilities nationwide, and built Tenant Connect, a comprehensive self-service platform for renters. In 2021, 10 Federal was named one of the Best Tech Startups in Raleigh by The Tech Tribune, recognizing a company that competes not just with storage operators, but with the broader technology sector.

"Attracting someone from the company powering the global AI revolution requires a level of technological sophistication and vision that simply does not exist anywhere else in this space. We built that. Chris recognized it. And now we are going to build something together that this industry has never seen."

-- Andrew Capranos, President of 10 Federal

The creation of the CAIO role signals 10 Federal's intent to move beyond incremental AI adoption and embed artificial intelligence into the foundational architecture of how the company operates. The focus is on accelerating tools and systems already in development while building the infrastructure for capabilities the industry has not yet imagined.

Media Contact: Investors@10federal.com

About 10 Federal

10 Federal is a leading innovator in the self-storage industry, managing over 135 properties across 17 states. As one of the largest owners and operators of fully automated facilities in the country, the company harnesses advanced technology, artificial intelligence, and data analytics to deliver superior risk-adjusted returns. Recognized as an Inc. 5000 Fastest Growing Company in America, an Inside Self-Storage (ISS) Top 100 Operator, a Top Performing Real Estate Fund by Preqin, and a Top Fundraiser by Juniper Square, 10 Federal's automated management platform redefines operational efficiency in the modern self-storage industry. For more information, visit www.10fed.com.

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