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UCLA uses deep learning to map kelp and protect California coasts

Researchers at UCLA’s Institute of the Environment and Sustainability have built a deep learning model that generates ...

Google finds that AI agents learn to cooperate when trained against unpredictable opponents

Training standard AI models against a diverse pool of opponents — rather than building complex hardcoded coordination rules — ...

Yann LeCun Got $1 Billion For World Model AI. These Robots Learned 1,000 Real-World Tasks In 24 Hours

Real-world AI for robots is hard and expensive to create. Or is it? Researchers at a UK university just showed us how to ...
IEEE

MIRA: A Method of Federated Multi-Task Learning for Large Language Models

Abstract: In this letter, we introduce a method for fine-tuning Large Language Models (LLMs), inspired by Multi-Task learning in a federated manner. Our approach leverages the structure of each client ...

MIT's new fine-tuning method lets LLMs learn new skills without losing old ones

MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.
Ars Technica

Cursor introduces its coding model alongside multi-agent interface

Cursor has for the first time introduced what it claims is a competitive coding model, alongside the 2.0 version of its integrated development environment (IDE) with a new feature that allows running ...
IEEE

Provable Active Multi-Task Representation Learning

Abstract: Multi-task representation learning is an emerging machine learning paradigm that integrates data from multiple sources, harnessing task similarities to enhance overall model performance. The ...
The New York Times

Making ‘Task’ Was Tough, ‘But We Were Having a Great Time’

In an interview, Brad Ingelsby, who created this HBO crime drama, discusses the series finale and whether anyone in the Delco region ever has a nice day. Brad Ingelsby, the creator of “Mare of ...
C&EN

Optimizing Multi-Task Learning with Evolutionary Relatedness Metrics for Enhanced QSAR-Based Natural Product Activity Prediction

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. A few public databases provide biological activity data for ...