Researchers have developed a method to distribute large language models across multiple Intel AI PCs, allowing for faster and more efficient inference...
Researchers have developed a deep learning model that can predict seasonal precipitation anomalies in central China. The model translates atmospheric ...
Researchers from a team of authors have published a paper describing their winning submission to the AES AIMLA 2025 Challenge. They investigated two f...
Researchers have developed a new approach to training AI models for long-context reasoning tasks. They found that traditional on-policy distillation m...
Researchers have developed a framework called ADEPT for teaching robots to perform complex tasks using reinforcement learning. ADEPT pre-trains a poli...
Researchers have developed a self-play reinforcement learning framework called SPADE. It allows a single large language model to play two roles: desig...
Researchers have developed a method that combines reinforcement learning and search-based path planners to optimize flight trajectories for airliners....
Researchers have developed a method for controlling AI policies in high-stakes environments. The approach, called Conformal Policy Control, uses a saf...
Researchers have introduced SkillNet, an open infrastructure for creating, evaluating, and organizing AI skills at scale. The system structures skills...
Researchers from China have proposed a new method for distilling complex workflows into single-agent skills. They found that adding pipeline guidance ...
Researchers have developed an algorithm to improve the safety of autonomous systems with imperfect perception. These systems can make unsafe decisions...
Researchers have found that current audio-language models are not effectively using additional clinical context to improve speech recognition for peop...