Rather than trying to secure alternative sources of rare-earth materials, Vimag is attempting to eliminate magnets from ...

Cartpole is often used in reinforcement learning research: it's easy to simulate and fast to run, but unlike pattern recognition tasks, it requires constant, fine-grained adjustments rather than a ...

Imagine balancing a ruler vertically in the palm of your hand: you have to constantly pay attention to the angle of the ruler ...

Another day, another Google AI model. Google has really been pumping out new AI tools lately, having just released Gemini 3 in November. Today, it’s bumping the flagship model to version 3.1. The new ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

Researchers at Miguel Hernández University (Elche, Spain) have developed MCL-DLF, a coarse-to-fine 3D LiDAR localization approach combining Monte Carlo Localization with deep local features for ...

Successful PAT implementation should start small, with the goal of integrating data into decision-making and fostering cross-functional collaboration.

AI optimists envision a future where artificial general intelligence (AGI) surpasses human intelligence, but the path remains riddled with scientific and logistical hurdles.

Unpack the most common warehousing problems, their causes, and best practices and strategies for how to solve them.

To his credit, Kasy is a realist here. He doesn’t presume that any of these proposals will be easy to implement. Or that it will happen overnight, or even in the near future. The troubling question at ...

Learn the five pillars of production-ready document AI and the questions buyers must ask to avoid costly rip-and-replace ...

The team used an AI method known as equation discovery to develop a model to simulate the interactions between small eddies—circular, vortex-like currents—and large-scale ones. These interactions are ...