Abstract: Autonomous driving (AD) systems often exhibit driving styles that differ considerably from those of human drivers. When users engage with AD systems, they are essentially passengers in a ...

Self-driving laboratory framework for autonomous drug discovery: closed-loop optimization, multi-instrument orchestration, ADMET prediction, and experimental design. Integrates robotics, analytics, ...

Machine learning is reshaping electronic design automation by offering data‐driven models that accelerate and enhance every phase of integrated circuit development. At design time, regression and ...

CertiK has explained that blockchain technology has long relied on smart contracts as its backbone, automating agreements without intermediaries in areas ranging from decentralized finance to supply ...

François Chollet is the founder of a startup focused on developing AGI through program synthesis, which he co-founded with Zapier co-founder Mike Knoop after leaving Google in November 2024. He ...

CARLA is an open-source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In ...

In an environment defined by labor shortages, rising uptime expectations and pressure to improve overall equipment effectiveness (OEE), simple data collection is no longer enough. Modern manufacturers ...

The integration of Machine Learning (ML) and Artificial Intelligence (AI) is rapidly transforming biological research, providing sophisticated tools to analyze complex data, enhance precision, and ...

Planes, AirTrains and self-driving automobiles. The Port Authority of New York and New Jersey said it will test several models of zero-emissions autonomous vehicles at Newark Liberty International ...

This eBook takes you inside the evolving sensing stack, curating articles that track the latest innovations in sensor technologies. Machine Design’s editors cover practical sensor selection under ...