While it’s easier than ever to deploy automation, it’s much harder to ensure those early investments won’t hold a company back as it scales.

AI-driven autonomous robots are coming to biology laboratories, but researchers insist that human skills remain essential.

Farmer Bir Virk tapped the iPad mounted beside his tractor’s steering wheel and switched the vehicle to automatic mode. The ...

Can you design a mechanism that will trace out the shape of a heart? How about the shape of a moon, or a star? Mechanism ...

Gabriel Gomes built an agent that turns plain English into physical experiments, enabling research that humans alone could never sustain ...

Abstract: As for automatic machine learning (AutoML), which can simplify the model design and adjustment process, continues to develop with the evolution of machine learning technology, and has become ...

Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Abstract: Context: Ensemble methods are powerful machine learning algorithms that combine multiple models to enhance prediction capabilities and reduce generalization errors. However, their potential ...

The viral social network for bots reveals as much about our own current mania for AI as it does about the future of agents.

This important study introduces a novel split-belt treadmill learning task to reveal distinct and parallel learning sub-components of gait adaptation: slow and gradual error-based perceptual ...

First 4D Radar Automatic Labelling tools using Segment Anything (SA) drivable area segmentation on camera using Deep Learning for Autonomous Vehicle. KAIST-Radar (K-Radar) (provided by 'AVELab') is a ...