Researchers from the University of California, Los Angeles (UCLA) have developed a chemical imaging system that combines high-performance terahertz time-domain spectroscopy with advanced deep learning ...

Technology demonstrated at ABB's booth in NewTech Automation & Robotics eventCAESAREA, Israel, Feb. 12, 2026 / ...

India has cleared a $1.1 billion state-backed venture capital program that will channel government money into startups through private investors, doubling down on its effort to finance high-risk areas ...

Peak Technology Unveils APEX: A Product Development & Realization Platform Designed to Provide Deep Tech OEMs with Rapid Prototyping, New Product Introduction, and High Volume Manufacturing Solutions ...

Manufacturing leaders are investing heavily in the promise of a data-driven smart factory, yet many find their digital transformation ROI stalled by a "data accessibility gap." While modern plants ...

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its applications. Supervised learning is a type of Machine Learning which learns ...

Machine learning-assisted metal additive manufacturing has been widely applied in performance optimization and control, such as process parameter optimization, structural optimization of formed parts, ...

AgiBot, a humanoid robotics company based in Shanghai, has engineered a way for two-armed robots to learn manufacturing tasks through human training and real-world practice on a factory production ...

A lot of the stuff we use today is largely made by robots—arms with multiple degrees of freedom positioned along conveyor belts that move in a spectacle of precisely synchronized motions. All this ...

Abstract: Augmenting capabilities of human operators with multi-robot cells offers substantial advantages for increasing productivity in manufacturing applications. This synergy effectively combines ...