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Microsoft Research describes RetroChimera, a retrosynthesis framework published in Nature that ensembles a Transformer-based de-novo model (R-SMILES 2) with a graph neural network that selects reaction templates (NeuralL...
Researchers at Berkeley AI Research have developed a quantitative theory showing that, under mild approximations, word2vec's learning problem reduces to unweighted least-squares matrix factorization. They prove that...
Berkeley AI Research presents Transitive RL (TRL), an off-policy value-learning algorithm based on divide and conquer rather than temporal difference (TD) learning. TRL updates values via a transitive Bellman rule using...
Berkeley AI Research researchers propose GRASP (Gradient RelAxed Stochastic Planner), a gradient-based planner for learned world models that targets long-horizon planning. GRASP lifts the dynamics constraint into virtual...
GitHub Security Lab released the Fuzzing Taskflow, an open-source autonomous fuzzing pipeline for C/C++ projects built on the Security Lab Taskflow Agent framework. It accepts a repository, then uses an LLM agent to iden...
