Researchers have developed an experimental framework for communicating with entities that categorize reality differently from humans. They created two...
Researchers have found a way to interpret the predictions made by gradient-boosted ensembles, which are often used in machine learning. By viewing eac...
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 ...