The lab’s robotics division has introduced a new class of collaborative robots — or “cobots” — designed to safely and efficiently work alongside humans in industrial and laboratory settings. Powered by real-time motion prediction and adaptive force control,
In a major leap toward efficient computing, the lab has developed a new class of edge AI models capable of processing data locally on lightweight devices. Unlike traditional AI systems that rely on cloud-based servers,
Researchers at the lab have unveiled a powerful new framework that aims to make artificial intelligence more transparent and accountable. Traditional deep learning systems often operate as “black boxes,” producing highly accurate results without revealing how those results were obtained.
The lab’s robotics division has introduced a new class of collaborative robots — or “cobots” — designed to safely and efficiently work alongside humans in industrial and laboratory settings. Powered... Read More
In a major leap toward efficient computing, the lab has developed a new class of edge AI models capable of processing data locally on lightweight devices. Unlike traditional AI systems... Read More
Researchers at the lab have unveiled a powerful new framework that aims to make artificial intelligence more transparent and accountable. Traditional deep learning systems often operate as “black boxes,” producing... Read More
The lab’s robotics division has introduced a new class of collaborative robots — or “cobots” — designed to safely and efficiently work alongside humans in industrial and laboratory settings. Powered by real-time motion prediction and adaptive force control, these robots can anticipate human movement, prevent collisions, and assist with precision tasks. Unlike traditional automation systems […]
In a major leap toward efficient computing, the lab has developed a new class of edge AI models capable of processing data locally on lightweight devices. Unlike traditional AI systems that rely on cloud-based servers, these models run directly on mobile phones, drones, and embedded sensors — reducing latency, bandwidth use, and energy consumption. This […]
Researchers at the lab have unveiled a powerful new framework that aims to make artificial intelligence more transparent and accountable. Traditional deep learning systems often operate as “black boxes,” producing highly accurate results without revealing how those results were obtained. The team’s explainable AI (XAI) framework directly addresses this challenge by translating complex model behavior […]