Science

Researchers are developing more realistic and scalable driving simulations by focusing on how individual agents perceive and react to their surroundings.

New research shows that grounding AI coding assistants in specific project context dramatically improves their ability to help students learn and understand code.

Researchers propose a new framework for large language models that enables continuous alignment and performance enhancement without relying on ongoing human guidance.

A new framework leverages artificial intelligence to streamline the complex process of updating aging mainframe systems for the cloud era.

A new approach to managing information for generative AI systems moves beyond simple prompt engineering to offer a more robust and scalable solution.

A new framework, HiMoE-VLA, leverages a Mixture-of-Experts architecture to enable robots to better process diverse data and perform a wider range of tasks.

Researchers are exploring a new method to imbue language models with a deeper understanding of chemical reasoning by teaching them to predict reaction mechanisms.

A new system combines autonomous drones, acoustic sensors, and machine learning to enable close-range observation of sperm whales in their natural environment.

A novel axiomatic possibility theory resolves a long-standing paradox in fuzzy logic, paving the way for more robust and consistent artificial intelligence systems.

A new framework leverages deep learning and robotic vision to automate the inspection of critical aluminum components, dramatically improving defect detection and measurement.