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, […]
3LC: What is It and Who is It For? Read More +
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
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
Vision Language Model Prompt Engineering Guide for Image and Video Understanding Read More +
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
Fine-tuning LLMs for Cost-effective GenAI Inference at Scale Read More +
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
SAM 2 + GPT-4o: Cascading Foundation Models via Visual Prompting (Part 2) Read More +
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
Taming LLMs: Strategies and Tools for Controlling Responses Read More +
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,
New AI Model Offers Cellular-level View of Cancerous Tumors Read More +
Rochester, NY – February 12, 2025 – D3 Embedded today announced its partnership with Silicon Highway, a leading European distribution company specializing in embedded AI edge solutions, to accelerate the delivery of high-performance rugged cameras to the European market. This partnership will allow D3 Embedded to leverage Silicon Highway’s local expertise and knowledge of the
D3 Embedded Partners with Silicon Highway to Provide Rugged Camera Solutions to Europe Read More +
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. Artificial Intelligence-based solutions have become increasingly prevalent, transforming industries, businesses, and daily life. However, rather than completely replacing human expertise, the most effective approach lies in creating a synergy between human knowledge, experience and intuition alongside AI’s
The Intersection of AI and Human Expertise: How Custom Solutions Enhance Collaboration Read More +
This article was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. In Part 1 of this article we introduce Segment Anything Model 2 (SAM 2). Then, we walk you through how you can set it up and run inference on your own video clips. Learn more about visual prompting
SAM 2 + GPT-4o: Cascading Foundation Models via Visual Prompting (Part 1) Read More +
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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