Teaching a robot new skills used to require coding expertise. But a new generation of robots could potentially learn from ...

Training a machine learning model might sound tricky at first, but it’s actually pretty doable when you break it into steps. Whether you’re working with customer info, photos, or trying ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

The artificial intelligence community has long struggled with a fundamental challenge of making AI systems transparent and understandable. As large language models become increasingly powerful, ...

Intel scaled back its AI accelerator ambitions earlier this year. The company now appears to be refocusing on AI inference, ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Assessing the progress of new AI language models can be as challenging as training them. Stanford researchers offer a new approach.

The automatic segmentation of liver tumors plays an important role in the diagnosis and treatment of liver cancer. While deep convolutional neural network (DCNN) models are widely used for ...

Objective Long-term azithromycin treatment effectively prevents acute exacerbations of chronic obstructive pulmonary disease ...

US District Courts uphold fair use for AI training on lawfully sourced books—but reject piracy; market harm and sourcing emerge as key legal battlegrounds ...