Robots That Understand: Scaling Vision-Language Learning with Hierarchical Expertise

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.

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.

New research demonstrates that applying evolutionary strategies to language models can dramatically improve their ability to tackle challenging reasoning problems.

A new architecture combines the strengths of generative and descriptive AI, guided by structured protocols, to improve clinical decision-making and patient care.
As AI video platforms like Sora blur the lines between creation and simulation, users are actively shaping the norms around authenticity, authorship, and control.
A new analysis clarifies how the EU AI Act applies to artificial intelligence deployed within organizations, impacting everything from HR to research and development.

A new system combines hyperspectral imaging with robotics to dramatically improve a robot’s ability to identify and sort materials, exceeding human performance in certain tasks.