Cambridge, MA — In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its ...

Living Models, a Paris–Berkeley startup, has raised $7 million in seed funding as it emerges from stealth to develop foundation models for biology trained on DNA, RNA, and multi-omics data aimed at ...

Abstract: Feature extraction and model training are critical steps in developing machine learning models for electromyography (EMG) based motion decoding. Traditionally, these processes require domain ...

It’s not science fiction: scientists are using machine learning algorithms to decipher how animals communicate and what they’re saying. A new collaboration between Project CETI (Cetacean Translation ...

In industrial recommendation systems, the shift toward Generative Retrieval (GR) is replacing traditional embedding-based nearest neighbor search with Large Language Models (LLMs). These models ...

Abstract: Recent studies have demonstrated strong associations between the changes in dynamic functional connectivity (FC) and both behavioral and cognitive functions. The sliding window technique is ...