In the pursuit of solutions to complex global challenges including disease, energy demands, and climate change, scientific ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has long been slow, expensive, and heavily empirical. Machine learning is now ...

Computer scientists at MIT have developed a machine-learning system that can identify objects in an image based on a spoken description of the image. Typical speech recognition systems like Google ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion ...

Machine-learning models can make mistakes and be difficult to use, so scientists have developed explanation methods to help users understand when and how they should trust a model's predictions. These ...