Algorithms & Models

ModelCat AI Announces AI Model Portability Across Silicon Devices

Algorithms & Models, ModelCat, News /

An industry first, ModelCat’s Agentic AI generates models for new chips using a user’s current production models, dramatically accelerating inferencing to the edge. SUNNYVALE, Calif., March 5, 2026 /PRNewswire/ — ModelCat, the creator of the world’s first fully autonomous AI model builder, today announced its latest innovative platform capability: Model Retargeting (Patent Pending). Using Model Retargeting, ModelCat customers gain model […]

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Why On-device AI Matters

Algorithms & Models, Blog Posts, ENERZAi, Software /

This blog post was originally published at ENERZAi’s website. It is reprinted here with the permission of ENERZAi. Hello! I’m Minwoo Son from ENERZAi’s Business Development team. Through several posts so far, we’ve shared ENERZAi’s full-stack software capabilities for delivering high-performance on-device AI — including Optimium, our proprietary AI compiler that encapsulates our optimization expertise;

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Upcoming Webinar on LLM-driven Driver Development

Algorithms & Models, Boston.AI, News, Software /

On March 19, 2026, at 1:00 pm EDT (10:00 am PDT) Boston.AI will deliver a webinar “Intelligent Driver Development with LLM Context Engineering ” From the event page: Developing even simple sensor drivers can consume valuable engineering time, requiring manual transcription of registers from datasheets into code—an error-prone and repetitive process. In this webinar, you’ll

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10xEngineers and Andes Enable High-Performance AI Compilation for RISC-V AX46MPV Cores

Algorithms & Models, Andes Technology, News, Processors /

Hsinchu, Taiwan – February 26, 2026 – The collaboration between 10xEngineers, a services company specializing in AI compilers, and Andes Technology Corporation, a leading provider of high-performance, low-power 32- and 64-bit RISC-V processor IP and a Founding Premier Member of RISC-V International, delivers first-class AI workload compilation for Andes AX46MPV cores using 10xEngineers’ AI graph compiler, Baltoro. This collaboration enables

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A Practical Guide to Recall, Precision, and NDCG

Algorithms & Models, Blog Posts, Rapidflare /

This blog post was originally published at Rapidflare’s website. It is reprinted here with the permission of Rapidflare. Introduction Retrieval-Augmented Generation (RAG) is revolutionizing how Large Language Models (LLMs) access and use information. By grounding models in domain specific data from authoritative sources, RAG systems deliver more accurate and context-aware answers. But a RAG system is

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Google Adds “Agentic Vision” to Gemini 3 Flash

Algorithms & Models, News /

Jan. 30, 2026 — Google has announced Agentic Vision, a new capability in Gemini 3 Flash that turns image understanding into an active, tool-using workflow rather than a single “static glance.” Agentic Vision pairs visual reasoning with code execution (Python) so the model can iteratively zoom in, crop, annotate, and otherwise manipulate an image to

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Robotics Builders Forum offers Hardware, Know-How and Networking to Developers

Algorithms & Models, D3 Embedded, News, Processors, Qualcomm, Robotics, Software, Tools /

On February 25, 2026 from 8:30 am to 5:30 pm ET, Advantech, Qualcomm, Arrow, in partnership with D3 Embedded, Edge Impulse, and the Pittsburgh Robotics Network will present Robotics Builders Forum, an in-person conference for engineers and product teams. Qualcomm and D3 Embedded are members of the Edge AI and Vision Alliance, while Edge Impulse

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On-Device LLMs in 2026: What Changed, What Matters, What’s Next

Algorithms & Models, Articles, Software, Tools /

In On-Device LLMs: State of the Union, 2026, Vikas Chandra and Raghuraman Krishnamoorthi explain why running LLMs on phones has moved from novelty to practical engineering, and why the biggest breakthroughs came not from faster chips but from rethinking how models are built, trained, compressed, and deployed. Why run LLMs locally? Four reasons: latency (cloud

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Getting Started with Edge AI on NVIDIA Jetson: LLMs, VLMs, and Foundation Models for Robotics

Algorithms & Models, Blog Posts, NVIDIA, Processors /

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Running advanced AI and computer vision workloads on small, power-efficient devices at the edge is a growing challenge. Robots, smart cameras, and autonomous machines need real-time intelligence to see, understand, and react without depending on the cloud. The NVIDIA

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Top Python Libraries of 2025

Algorithms & Models, Articles, Software, Tools, Tryolabs /

This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. Welcome to the 11th edition of our yearly roundup of the Python libraries! If 2025 felt like the year of Large Language Models (LLMs) and agents, it’s because it truly was. The ecosystem expanded at incredible speed, with new models,

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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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