Processors

BrainChip Unveils Radar Reference Platform to Bridge the ‘Identification Gap’ in Edge AI

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 […]

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The Future of Security Is Already Running. Here Is What It Looks Like.

This blog post was originally published at Axelera AI’s website. It is reprinted here with the permission of Axelera AI. A camera sees everything and understands nothing. For decades, that has been the fundamental limitation of physical security at scale: vast amounts of footage, limited ability to act on it in real time. The gap between

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Gemma 4 Models Optimized for Intel Hardware: Enabling Instant Deployment from Day Zero

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

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See How ams OSRAM Revolutionize Optical Solutions with the Help of Cadence Tools

OSRAM utilizes the Quantus SNA workflow for high-precision silicon. In modern semiconductor design, Heterogeneous Integration is the new frontier. When light detectors for Medical Imaging or depth sensors for Autonomous Systems are packed onto a single die alongside radio systems, the risk of interference skyrockets. For ‪ams OSRAM‬, “sensing the power of light” means more

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The On-Device LLM Revolution: Why 3B-30B Models Are Moving to the Edge

This blog post was originally published at Quadric’s website. It is reprinted here with the permission of Quadric. After years of cloud-centric inference, AI is moving to the edge. The “Goldilocks zone” of 3B to 30B parameter models is delivering GPT-4-class performance on smartphones, automotive systems, and industrial equipment — and creating an acute challenge for

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Inside the Intelligent Mobile Camera Powered by Exynos 2600 VPS

This blog post was originally published at Samsung Semiconductor’s website. It is reprinted here with the permission of Samsung Semiconductor. Until recently, the evolution of mobile cameras has been centered on the image sensor and the image signal processor (ISP). In this conventional architecture, the image sensor converts light into electrical signals, while the ISP corrects

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Lightweight Keyword Spotting Solution from Microchip

Microchip presents a customizable, target-agnostic solution to program wake words and voice commands. The ML model, generated and tested using a custom application, has low latency and a minimal memory footprint, making it ideal for resource-constrained embedded systems. The ML model can be integrated into voice-based applications running on any 32-bit microcontroller or microprocessor running

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Accelerating Multi-Die Innovation: How Synopsys and Samsung are Shaping Chip Design

This blog post was originally published at Synopsys’s website. It is reprinted here with the permission of Synopsys. With the semiconductor industry shifting from monolithic chip designs to multi-die architectures — which leverage chiplets for improved flexibility, scalability, and time to market — engineering teams are facing new hurdles and complexities. Beyond power, performance, and area (PPA), they

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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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