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 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 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 +
According to IDTechEx‘s latest report, “Automotive Radar Market 2025-2045: Robotaxis & Autonomous Cars“, newly established radar startups worldwide have raised nearly US$1.2 billion over the past 12 years; approximately US$980 million of which is predominantly directed toward the automotive sector. Through more than 40 funding rounds, these companies have driven the implementation and advancement of
Nearly $1B Flows into Automotive Radar Startups 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 +
Radars have had a place within the automotive sector for over two decades, beginning with the first use for adaptive cruise control and many other developments taking place since. IDTechEx‘s “Automotive Radar Market 2025-2045: Robotaxis & Autonomous Cars” report explores the latest developments in radar technology within the automotive sector. ADAS safety systems ADAS (advanced
Top-tier ADAS Systems: Exploring Automotive Radar Technology 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 +
This blog post was originally published at Au-Zone Technologies’ website. It is reprinted here with the permission of Au-Zone Technologies. Transforming Safety, Efficiency, and Automation in Construction Ecosystems In the rapidly evolving field of civil construction, AI-based spatial perception technologies are reshaping the way machinery operates in dynamic and unpredictable environments. These systems enable advanced
Empowering Civil Construction with AI-driven Spatial Perception Read More +
Infrared sensors are becoming more popular in vehicles for advanced driver assistance systems (ADAS), in-cabin sensing, and driver monitoring systems (DMS), largely due to advancements in vehicle safety and awareness. IDTechEx‘s latest report, “Infrared (IR) Cameras for Automotive 2025-2035: Technologies, Opportunities, Forecasts“, explores the types of infrared sensors that are commonly used, and forecasts for
Seeing In the Dark: Infrared for Automotive Read More +
This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. This article introduces multimodal large language models (MLLMs) [1], their applications using challenging prompts, and the top models reshaping computer vision as we speak. What is a multimodal large language model (MLLM)? In layman terms, a multimodal
Multimodal Large Language Models: Transforming Computer Vision Read More +
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