Article #2 of Confronting AI Series: AI can enhance decisions and refine processes, yet organizations are hesitant to integrate it. Boosting trust through education, clear policies, transparent models, and improved human-AI collaboration will encourage wider adoption.
Unlike traditional software applications, where user actions have immediate and predictable results, CV workflows introduce inherent conceptual and interaction complexities that require a different UX approach.
Artificial intelligence (AI) is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making
Training AI models is costly, forcing a trade-off between compressing large models or accepting weaker performance from smaller ones trained from scratch.
A team that included Chongzie Zhang from McKelvey Engineering developed a method that allows robots to teach other robots with different features to perform the same task.
Matroid builds no-code computer-vision detectors that can spot everything from microscopic material defects to real-time safety hazards on a factory floor.
In large-scale warehousing and distribution operations, conveyor belts are an essential infrastructure that must operate with near-zero downtime to ensure the timely delivery of products. The presence of loose or foreign items on a conveyor belt can pose a serious risk to these operations.
In this post, we'll walk through how to evaluate that progress using the same metrics our platform provides automatically, so you can build detectors that get smarter, sharper, and more reliable over time.
Article #2 of Confronting AI Series: AI can enhance decisions and refine processes, yet organizations are hesitant to integrate it. Boosting trust through education, clear policies, transparent models, and improved human-AI collaboration will encourage wider adoption.
Unlike traditional software applications, where user actions have immediate and predictable results, CV workflows introduce inherent conceptual and interaction complexities that require a different UX approach.
Reaching 98% efficiency in a solid state and 94% in solution, the small fluorescent molecule's design could cut down development time and cost for future applications.
This guide outlines the key steps to designing, optimizing, and deploying AI at the edge, followed by a look at how purpose-built edge AI toolchains can support and streamline this process.
Article #1 of Confronting AI Series: AI is rapidly evolving beyond language models, quietly transforming fields like vision, prediction, and control. Explore how diverse AI techniques are solving complex challenges where text-based approaches fall short.
Cornell researchers have developed an AI-powered process that automatically transforms a short video of a room into an interactive, 3D simulation of the space.
What is High Bandwidth Memory 3 (HBM3)? This comprehensive engineering guide covers architecture, applications, and performance, along with some advanced techniques used by leading AI companies and best implementation strategies!
Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI like chatbots so good at understanding and using words.
The collaboration between AI and robotics enables robots to implement tasks more effectively and handle complications previously beyond their capacities.
Master HBM memory technology with our comprehensive engineering guide covering 3D stacking architecture, bandwidth calculations, and design optimization techniques. Discover implementation strategies for AI and HPC applications!