AI
Discovering physical mechanisms from experiment-simulation mismatches
Researchers have developed a new method called eXplainable DFT (XDFT) to identify physical mechanism...
AI
SOD: Step-wise On-policy Distillation for Small Language Model Agents
Researchers have proposed a new method called SOD (Step-wise On-policy Distillation) to improve the ...
AI
Adaptive AI Task Partitioning and Safe Offloading in Heterogeneous Edge-Cloud Continuum
Researchers have proposed a framework for dynamically splitting neural network layers across edge de...
AI
SurgicalMamba: Dual-Path SSD with State Regramming for Online Surgical Phase Recognition
Researchers have developed SurgicalMamba, an algorithm for online surgical phase recognition. It use...
AI
EXPO-FT: Sample-Efficient Reinforcement Learning Finetuning for Vision-Language-Action Models
Researchers have developed a system called EXPO-FT for fine-tuning pre-trained V...
AI
On the Subgaussianity of Quantized Linear Maps: An AI-Assisted Note
Researchers Guangyi Zou and Roman Vershynin have published a note on the subgaus...
AI
Evaluating Skill and Stability of ArchesWeather and ArchesWeatherGen under Multi-Decadal Climate Simulations
Researchers evaluated two machine learning models, ArchesWeather and ArchesWeath...
AI
FVSpec: Real-World Property-Based Tests as Lean Challenges
Researchers have developed a benchmark for evaluating AI models on real-world fo...