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Unveiling the Qualcomm Dragonwing Brand Portfolio: Solutions For a New Era of Industrial Innovation

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Our mission is to deliver intelligent computing everywhere. We have an amazing suite of products, and while you may be familiar with the Snapdragon brand portfolio, you may not know that we have a whole suite of […]

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3LC: What is It and Who is It For?

This blog post was originally published at 3LC’s website. It is reprinted here with the permission of 3LC. AI performance isn’t just about better architectures or more compute – it’s about better data. Even perfectly labeled datasets can hold hidden inefficiencies that limit accuracy. See how teams use 3LC to refine datasets, optimize labeling strategies,

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How e-con Systems’ TintE ISP IP Core Increases the Efficiency of Embedded Vision Applications

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. e-con Systems has developed TintE™, a ready to deploy ISP IP core engineered to enhance image quality in camera systems. Built to deliver high performance on leading FPGA platforms, it accelerates real-time image processing with

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MIPS Drives Real-time Intelligence into Physical AI Platforms

The new MIPS Atlas product suite delivers cutting-edge compute subsystems that empower autonomous edge solutions to sense, think and act with precision, driving innovation across the growing physical AI opportunity in industrial robotics and autonomous platform markets. SAN JOSE, CA. – March 4th, 2025 – MIPS, the world’s leading supplier of compute subsystems for autonomous

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Vision Language Model Prompt Engineering Guide for Image and Video Understanding

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Vision language models (VLMs) are evolving at a breakneck speed. In 2020, the first VLMs revolutionized the generative AI landscape by bringing visual understanding to large language models (LLMs) through the use of a vision encoder. These

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Fine-tuning LLMs for Cost-effective GenAI Inference at Scale

This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. Data is the new oil, fueling the AI revolution. From user-tailored shopping assistants to AI researchers, to recreating the King, the applicability of AI models knows no bounds. Yet these models are only as good as the data

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SAM 2 + GPT-4o: Cascading Foundation Models via Visual Prompting (Part 2)

This article was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. In Part 2 of our Segment Anything Model 2 (SAM 2) Series, we show how foundation models (e.g., GPT-4o, Claude Sonnet 3.5 and YOLO-World) can be used to generate visual inputs (e.g., bounding boxes) for SAM 2. Learn

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Taming LLMs: Strategies and Tools for Controlling Responses

This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. In the ever-evolving landscape of natural language processing, the advent of Large Language Models (LLMs) has ushered in a new era of possibilities and challenges. While these models showcase remarkable capabilities in generating human-like text, the potential for

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Andes Technology and proteanTecs Partner to Bring Performance and Reliability Monitoring to RISC-V Cores

proteanTecs’ on-chip monitoring successfully integrated into the AndesCore™ AX45MPV RISC-V multicore vector processor TAIPEI, Taiwan and HAIFA, Israel — Feb 25, 2025 — Andes Technology Corporation (TWSE: 6533), a leading supplier of RISC-V processor IP, and proteanTecs, a global leader of health and performance monitoring solutions for advanced electronics, today announced a strategic partnership. This collaboration enables joint customers

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New AI Model Offers Cellular-level View of Cancerous Tumors

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Researchers studying cancer unveiled a new AI model that provides cellular-level mapping and visualizations of cancer cells, which scientists hope can shed light on how—and why—certain inter-cellular relationships triggers cancers to grow. BioTuring, a San Diego-based startup,

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