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 +
February 18, 2025 09:00 AM Eastern Standard Time–SAN JOSE, Calif.–(BUSINESS WIRE)–SiMa.ai, the software-centric, embedded edge machine learning system-on-chip (MLSoC) company, today announced the successful implementation of DeepSeek-R1-Distill-Qwen-1.5B on its ONE Platform for Edge AI, achieving breakthrough performance within an unprecedented power envelope of under 10 watts. This implementation marks a significant advancement in efficient, secure
DeepSeek-R1 1.5B on SiMa.ai for Less Than 10 Watts 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 AI, the demand for powerful Large Language Models (LLMs) has surged. This has led to an unrelenting thirst for GPUs and a shortage that causes headaches for many organizations. But what if there
From Brain to Binary: Can Neuro-inspired Research Make CPUs the Future of AI Inference? Read More +
This blog post was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. From Face ID unlocking our phones to counting customers in stores, Computer Vision has already transformed how businesses operate. As Generative AI (GenAI) becomes more compelling and accessible, this tried-and-tested technology is entering a new era of
From Seeing to Understanding: LLMs Leveraging Computer Vision Read More +
When the Society of Automotive Engineers released their definitions of varying levels of automation from level 0 to level 5, it became easier to define and distinguish between the many capabilities and advancements of autonomous vehicles. Level 0 describes an older model of vehicle with no automated features, while level 5 describes a future ideal
Autonomous Cars are Leveling Up: Exploring Vehicle Autonomy 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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