Researchers have proposed a SENet-CNN-Transformer model for predicting electric vehicle charging duration, aiming to improve ...
Discovering and characterizing new materials is important for unlocking advances in fields like clean energy, advanced ...
ETS, Khan Academy, and TED are coming together to launch a new higher education entity – the Khan TED Institute.
Foundation model-powered dual-module system establishes a new performance benchmark for AI-driven peptide drug ...
Tech firms aim to trigger a robot revolution with video of humans doing housework. Gig workers are paid up to $25 an hour to ...
Engineers at NIMS Develop a System That Captures All the Elements of Trial and Error in Material Design, Enabling Reliable ...
Rising energy transmission needs are evolving pipelines into integrated, coupled Energy Transportation Systems (ETS), where ...
Memento-Skills lets AI agents rewrite their own skills using reinforcement learning, hitting 80% task success vs. 50% for ...
The Chosun Ilbo on MSN
AI models transfer toxic traits via stealthy learning
A study has revealed that large language models (LLMs) can propagate hidden harmful tendencies during the training of other ...
SHIFT-Crash predicts full-vehicle crash response in seconds, dramatically accelerating crashworthiness certification ...
The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...
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