Software

How We Built a 100% Effective Multi-Layer Safety Filter for Enterprise AI Agents

Algorithms & Models, Blog Posts, Rapidflare, Software /

How Rapidflare’s multi-layer safety filter achieved 100% protection against harmful content while maintaining zero false positives on legitimate queries.   This blog post was originally published at Rapidflare’s website. It is reprinted here with the permission of Rapidflare. When you deploy an AI agent to a public developer community, the threat model changes completely. In a […]

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Beyond the Bench: Reinventing Embedded Hardware with Grinn

Algorithms & Models, Peridio, Processors, Software, Videos /

This video was originally published at Peridio’s website. It is reprinted here with the permission of Peridio. 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

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MPEG-5 LCEVC: A practical shift for industrial AI video pipelines

Blog Posts, Industrial Vision (Computer Vision), Software, Tools, V-Nova /

This blog post was originally published at V-Nova’s website. It is reprinted here with the permission of V-Nova. In Industrial and Defense environments, I hear the same story. More cameras. Higher resolutions. Stricter latency targets. Infrastructure that cannot be replaced easily. And increasing pressure around storage, bandwidth, compute, and privacy. This is why MPEG-5 LCEVC is becoming even more relevant. It improves compression

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Key Trends Shaping the Semiconductor Industry in 2026

Blog Posts, HTEC Group, Market Analysis, Processors, Software /

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

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Texas Instruments, D3 Embedded, Lattice and NVIDIA Show a Practical Radar-Camera Fusion Stack for Robotics

D3 Embedded, Lattice Semiconductor, News, NVIDIA, Processors, Robotics, Sensors and Cameras, Software, Texas Instruments, Tools /

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

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Building Robotics Applications with Ryzen AI and ROS 2

Algorithms & Models, AMD, Blog Posts, Robotics, Software, Tools /

This blog post was originally published at AMD’s website. It is reprinted here with the permission of AMD. This blog showcases how to deploy power-efficient Ryzen AI perception models with ROS 2 – the Robot Operating System. We utilize the Ryzen AI Max+ 395 (Strix-Halo) platform, which is equipped with an efficient Ryzen AI NPU and

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

BrainChip, News, Processors, Sensors and Cameras, Software /

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

Algorithms & Models, Intel, News, Processors, Software, Tools /

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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2026: The Year Intelligence Gets Physical

Algorithms & Models, Analog Devices, Blog Posts, Robotics, Sensors and Cameras, Software /

This article was originally published at Analog Devices’ website. It is reprinted here with the permission of Analog Devices. Artificial intelligence is entering a new phase where models interpret contextual data whilst interacting with the physical world in real time. At Analog Devices, Inc. (ADI), we call this Physical Intelligence: intelligent systems that can perceive, reason

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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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