Algorithms & Models

Everything Is Going to Be Driven by Algorithms

This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. A security camera on a warehouse loading dock captures 86,400 seconds of video every day. A fleet telematics recorder on a long-haul truck accumulates gigabytes of road footage between fuel stops. A surgical robot’s stereo cameras generate […]

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Airy3D Announces Support for MediaTek Genio SoCs for Edge 3D Vision Applications

Montreal, Canada – May 11, 2026 – Airy3D today announced that its DepthIQ™ SDK is supported on the MediaTek Genio Series of System-on-Chips, enabling compact and cost-efficient passive 3D vision solutions for embedded AI vision applications across robotics, industrial, retail, and smart devices. Airy3D’s DepthIQ technology enables simultaneous capture of high-quality 2D images and depth

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Face Super Resolution for Better Video Experiences

This blog post was originally published at Visidon’s website. It is reprinted here with the permission of Visidon. Video has become the primary medium for communication — from hybrid meetings to live events and social media. At the same time, expectations have risen. Faces need to look sharp, expressive, and natural — even when captured from

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On-Demand Webinar on Deploying Computer Vision and LLMs at the Edge

Check out this recent webinar from Boston.AI “Reality Check: Deploying Computer Vision and LLMs at the Edge” From the event page: AI workloads are moving closer to where data is generated — but how close can we really get? This webinar from ICS and Boston AI explores the evolving landscape of deploying advanced AI models,

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Case Study: How an Enterprise Tech Team Went from Dozens to 2,000+ Fine-Tuning Configurations

This blog post was originally published in expanded form at RapidFire AI’s website. It is reprinted here with the permission of RapidFire AI. The Use Case An AI-forward team at a Fortune 500 enterprise tech company builds intelligent autocomplete for enterprise form data entry: predicting what a user will select next across product dimensions, pricing fields,

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Nota AI Wins Grand Prize at NVIDIA Nemotron Hackathon, Proving MoE Quantization Prowess with Synthetic Data Technology

Took 1st place in Track C and Grand Prize among all 20 competing teams with synthetic data generation technology specialized for MoE quantization Built a dataset using an agent based on Nemotron 3 Super120B, presenting a data-centric rather than algorithm-centric optimization approach SEOUL, South Korea, April 24, 2026 /PRNewswire/ — Nota AI, a leading AI model compression and optimization company,

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

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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Modern Trends in Floating-Point

This blog post was originally published at Imagination Technologies’ website. It is reprinted here with the permission of Imagination Technologies. The requirement to support real numbers in computers has existed for as long as computers themselves, yet has always been a more complicated challenge than it at first appears. Why? Because computer-based representations can only represent

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Beyond the Bench: Reinventing Embedded Hardware with Grinn

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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Neuromorphic Computing Enables Ultra-low Power Edge Devices

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

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