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This paper asks a direct question: can current AI agents carry out open-ended AI research on their own? The authors introduce a method calle
Large language models sometimes use a Mixture‑of‑Experts (MoE) design. In MoE, a small router decides which expert subnetworks should proces
Researchers propose a privacy-preserving system that uses both recorded speech and its transcript to detect cognitive impairment. By convert
This paper introduces VLM-IE3D, a way to give vision-language models a stronger sense of 3D space using only ordinary RGB video. The authors
This paper tackles fair clustering when people belong to many intersecting sensitive groups, like race and gender together. Standard fair-cl
Researchers propose a way to use retrieval-augmented generation (RAG) systems to choose actions in situations where we care about causal out
This paper tests whether a large DNA language model called Evo2 already encodes signals that point to important biosecurity features. The au
This paper studies how well deep neural networks can recover signals that are corrupted by speckle. Speckle is a multiplicative noise that a
Researchers have found a simple, sharp answer to a theoretical puzzle in one-dimensional derivative-free optimization. They give a computati
Medicine uses many types of information at once, such as images and text. Researchers from Yale and collaborators built MedPMC, an automated