In this episode of Beyond the Bench from Peridio, Bill Brock sits down with Robert Otręba, Founder & CEO of Grinn, a Poland-based embedded engineering company operating for nearly 18 years. Robert shares how Grinn grew from a two-person startup into a 70-engineer team specializing in system-on-modules (SOMs), embedded Linux, and high-speed hardware design.
Beyond the Bench: Reinventing Embedded Hardware with Grinn Read More +
15 Apr 2026 Expanded collaboration combines agentic AI, physics-based simulation, and digital twins to accelerate engineering and unlock new levels of productivity across semiconductors, physical AI systems and AI factories SAN JOSE, Calif.— At CadenceLIVE Silicon Valley 2026, Cadence (Nasdaq: CDNS) announced an expanded partnership with NVIDIA to deliver accelerated solutions across agentic AI, physics-based simulation
Intel® Core™ Series 3 brings advanced features and Intel’s latest architectures to value buyers, commercial and essential edge devices What’s New: Intel® today unveiled its new Intel Core™ Series 3 mobile processors, bringing advanced performance, exceptional battery life, and AI-ready to value buyers, commercial and essential edge devices. Purpose-engineered for value, Intel Core Series 3
Intel Launches Intel Core Series 3 Processors: Changing the Game for Everyday Computing Read More +
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Key Takeaways: Why e-con Systems’ Darsi Pro is a one-of-a-kind vision solution The role of the MCU in Darsi Pro How Darsi Pro helps smartly manage power on NVIDIA Jetson Orin NX modules Vision systems involve
What Is MCU-Based Power Management – and Why Does Your Vision System Need It? Read More +
This blog post was originally published at Helbling’s website. It is reprinted here with the permission of Helbling. Over the last five years, neuromorphic computing has rapidly advanced through the development of state-of-the-art hardware and software technologies that mimic the information processing dynamics of animal brains. This development provides ultra-low power computation capabilities, especially for edge
Neuromorphic computing enables ultra-low power edge devices Read More +
This blog post was originally published at HTEC’s website. It is reprinted here with the permission of HTEC. The hardware boom is slowing down. What comes next is a software, power, and inference problem—and most of the industry isn’t ready for any of it. AI chips are now 0.2% of all chips manufactured, but
Key Trends Shaping the Semiconductor Industry in 2026 Read More +
TI’s new application brief and companion demo outline how mmWave radar, camera input, FPGA-based sensor bridging and NVIDIA Holoscan can be combined into a low-latency perception pipeline for humanoids and other autonomous machines. Texas Instruments, D3 Embedded, Lattice Semiconductor and NVIDIA are outlining a concrete radar-camera fusion stack for robotics rather than just talking
On April 20, 2026, at 8:00 pm PDT (11:00 am EDT) BrainChip will deliver a webinar “Akida Radar Reference Platform: See the Evolution of Radar Intelligence with AI-Powered Object Classification” From the event page: Join us on 20 April at 8:00 AM PT for an exclusive deep dive into BrainChip’s Radar Reference Platform — bringing
Upcoming Webinar on Akida Radar Reference Platform Read More +
This blog post was originally published at Infineon’s website. It is reprinted here with the permission of Infineon. Across home, retail, and industry, devices that once followed simple rules are now expected to understand people and context. A thermostat shouldn’t just follow a schedule; it should know if anyone is in the room and choose the preferred
From Connected to Aware: How PSOC™ Edge Enables the Next Wave of Smart Devices Read More +
LAGUNA HILLS, Calif. — April 6, 2026 — BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, BCHPY), the world’s first commercial producer of ultra-low-power, neuromorphic AI technology, today announced the launch of its Radar Reference Platform. This fully validated hardware and AI stack is designed to provide real-time object classification at the edge, solving the critical “identification gap” that limits traditional radar
BrainChip Unveils Radar Reference Platform to Bridge the ‘Identification Gap’ in Edge AI Read More +
Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
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