A new study on how runners may choose to interact with self-driving cars is challenging assumptions on how automated vehicles ...

Discover how the AutoResearch framework can automate your machine learning workflows and drastically reduce manual AI training time.

Abstract: In this paper, we present a deep-reinforcement learning(RL) approach to autonomous driving in a simulated environment, supported by a carefully crafted reward function. Using Unity's ...

New automation consulting and implementation platform helps enterprises streamline operations, deploy AI agents, and scale productivity across departments. Seattle, Washington, United States, March 16 ...

The new capability lets scientists simulate and visually inspect automated experiments before robots run them. NEW YORK, March 16, 2026 — Before a robotic experiment begins, researchers must ...

Abstract: The fast expansion of deep learning models has led to an increasing need for well-annotated datasets, while traditional manual annotation cannot meet this requirement. Current research on ...

Numerical modeling of ore-forming dynamics and 3D mineral prospectivity modeling are pivotal for deep mineral exploration, though each has inherent constraints. Commercial software such as FIDAP and ...