An AI pipeline developed by CSAIL researchers enables unique hydrodynamic designs for bodyboard-sized vehicles that glide underwater and could help scientists gather marine data.
An AI pipeline developed by CSAIL researchers enables unique hydrodynamic designs for bodyboard-sized vehicles that glide underwater and could help scientists gather marine data.
Article #4 of Confronting AI Series: AI's rapid rise brings transformative potential and serious risks; without transparency, regulation, education, and justice, unchecked deployment may entrench bias, erode trust, and harm society more than it helps.
Vision-driven, multi-arm robotics are set to transform the factory itself into a configurable product, capable of switching from one assembly task to the next with a software update instead of a hardware rebuild. Learn more now in our latest report.
From simple sensor control to connected, intelligent devices, embedded systems often outgrow a single MCU. Pairing an MCU with Linux adds power and flexibility, but also introduces communication challenges, dual development workflows, and increasing software complexity.
This article explores how automated CI/CD pipelines replace fragile manual build processes with reproducible, auditable workflows that improve compliance, reduce defects, and accelerate development in regulated embedded systems
Mario Mauerer, maxon's Global Business Development Manager, Robotics, discusses what it takes for robotic deployments to be successful in complex real-world environments.
Join Prof. Fei Chen as he explores advanced bimanual manipulation and teleoperation techniques shaping the future of intelligent human-like robots in this expert-led robotics session.
An AI pipeline developed by CSAIL researchers enables unique hydrodynamic designs for bodyboard-sized vehicles that glide underwater and could help scientists gather marine data.
Article #4 of Confronting AI Series: AI's rapid rise brings transformative potential and serious risks; without transparency, regulation, education, and justice, unchecked deployment may entrench bias, erode trust, and harm society more than it helps.
Vision-driven, multi-arm robotics are set to transform the factory itself into a configurable product, capable of switching from one assembly task to the next with a software update instead of a hardware rebuild. Learn more now in our latest report.
A new 3D simulation tool developed by ETH and SLF researchers now allows for significantly more accurate predictions of complex alpine mass movements, supporting alpine risk management.
Article #3 of Confronting AI Series: Discover how data centers tackle AI's surging energy needs, from renewable energy adoption to advanced cooling technologies and sustainable practices for a greener, smarter future.
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.
Manufacturers of such IoT products face a tough challenge: how do they provide customers with uninterrupted global coverage in the absence of ubiquitous cellular IoT service?
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.
This article explores the future of JFET technology in a world increasingly defined by sensor proliferation, distributed intelligence, and hybrid analog-digital systems.
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.
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.