MOUNTAIN VIEW, Calif., April 2, 2026 — Google has introduced Gemma 4, a new family of open models with open weights that is clearly aimed at bringing more capable AI onto local hardware. Released under the Apache 2.0 license, the Gemma 4 family includes four sizes: E2B, E4B, 26B A4B MoE and 31B Dense. Google […]
Google Pushes Multimodal AI Further Onto Edge Devices with Gemma 4 Read More +
We’re excited to announce Intel’s strategic partnership with Google to deliver optimized Gemma 4 models on Intel hardware from day one. This collaboration enables developers to leverage the power of Google’s latest AI models on Intel hardware: Intel® Core™ Ultra processors, Intel® Xeon® CPUs, and Intel® Arc™ GPUs. Developers can create AI applications that run
Gemma 4 Models Optimized for Intel Hardware: Enabling Instant Deployment from Day Zero Read More +
On April 15, 2026, at 9:00 pm PDT (12:00 pm EDT) NVIDIA will deliver a webinar “Unlock Real-Time Physical AI for the Industrial Edge” From the event page: Join us to learn how IGX Thor’s Blackwell-powered architecture is powering autonomous robots, surgical systems, and high-performance industrial automation at the edge. NVIDIA experts will walk through
Upcoming Webinar on NVIDIA IGX Thor Read More +
On April 16, 2026, at 1:00 pm EDT (10:00 am PDT) Boston.AI will deliver a webinar “Remembering to Forget: Agentic Memory Systems and Context Constraints” From the event page: As AI agents evolve from stateless responders into persistent, goal-directed systems, memory has become a central design challenge. The question is no longer just what agents
Upcoming Webinar on Agentic Memory Systems Read More +
Combining AI Optimization with High Performance and Efficiency MLSoCs to Lead the Physical AI Market Nota AI’s AI Optimization Technology Meets SiMa.ai’s MLSoC™ Product Family, Maximizing On-Device AI Performance for Physical AI Joint Development and Commercialization of AI Solutions for Industrial Environments including ITS, Safety, and Security Expanding Collaboration Across the Full Spectrum of Physical
Nota AI and SiMa.ai Sign Strategic Partnership for Physical AI Technology Collaboration Read More +
At ISC West 2026 Qualcomm Technologies showcases its vision for the future of smart camera and security Key Takeaways: End-to-end AI development tools and the Qualcomm Insight Platform to enable customers to develop AI features once and scale across their entire product portfolio. Qualcomm Technologies’ camera solutions span video security, law enforcement and enterprise body
Ambarella will be hosting an invitation-only exhibition at ISC West 2026, taking place March 25 – 27 at the Venetian Expo in Las Vegas, where we’ll demonstrate how edge AI is enabling the next generation of intelligent security and physical AI systems. This year’s theme, “A Smarter Vision for AI,” reflects an important shift underway
A Smarter Vision for AI at ISC West 2026 Read More +
New agentic integrated circuit (IC) and physical AI accelerated solutions enable engineers to solve previously impossible chip, system and AI factory challenges SAN JOSE, Calif.— Today, Cadence announced an expansion of its broad collaboration with NVIDIA to accelerate Cadence’s Design for AI and AI for Design strategy. The next generation of agentic AI design solutions includes autonomous,
Key Takeaways Multimodal module combining 2D imaging, 3D depth sensing, and human-like motion perception NVIDIA Holoscan Sensor Bridge ensuring multi-gigabit plug and play connectivity with Jetson platforms Fully supported by NVIDIA Isaac open robot development platform STMicroelectronics and Leopard Imaging® have introduced an all-in-one multimodal vision module for humanoid and other advanced robotics systems. Combining
News Summary: T-Mobile pilots NVIDIA RTX PRO 6000 Blackwell Server Edition AI infrastructure to demonstrate physical AI applications at the edge, complementing the AI-RAN Innovation Center’s distributed network Physical AI developers including Fogsphere, LinkerVision, Levatas, Vaidio and Siemens Energy are building reasoning and vision AI agents to the edge using the NVIDIA Metropolis Blueprint for
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