Machine learning is a powerful enabler when developing software for a range of autonomous systems types including robots, drone and self-driving vehicles. Unfortunately, the process of collecting, ...

Abstract: When talking about Human Robot Collaboration (HRC), Industry 4.0 leverages on ... of the proposed approach as well as go into the details of the dynamic data exchange between the workplace ...

A robot powered by V-JEPA 2 can be deployed in a new environment and successfully manipulate objects it has never encountered ...

The US Supreme Court gave the Department of Government Efficiency access to sensitive Social Security information, lifting restrictions a judge said were needed to protect the privacy of millions ...

i.e. you don't need data from failures. Autoencoders are based on neural networks, and the network consists of two parts: an encoder and a decoder. Encoder compresses the N-dimensional input (e.g. a ...

Carbon Robotics, Seattle-based creator of agriculture AI and robotics, has added Don Listwin as Lead Independent Director. Listwin brings more than four decades of executive and board experience ...

Syftr addresses this challenge through a groundbreaking multi-objective approach that rapidly simulates possible configurations to identify the best AI workflows with enterprise data and optimizes ...

Johnson & Johnson shared results of a study that found the company’s Monarch bronchoscopy robot was able to reach small ... a technology to integrate patient- and sensor-specific data into oxygen ...

Abstract: The existing deep learning based reversible data hiding (RDH) predictors typically adopt standard ... Three modules, namely GMM, GFFRM and MFIM, are embedded in U-shaped encoder-decoder ...