Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively ...
Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...
Reading a person’s mind using a recording of their brain activity sounds futuristic, but it’s now one step closer to reality. A new technique called ‘mind captioning’ generates descriptive sentences ...
A new peer-reviewed analysis shows K-12 students who got regular access to social and emotional learning had better test scores and better grades. There's been some debate about whether schools should ...
Abstract: Learning-based distribution system state estimation (DSSE) methods typically depend on sufficient fully labeled data to construct mapping functions. However, collecting historical labels ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Free energy perturbation (FEP) methods are among the most accurate tools in ...
ABSTRACT: Blasting is considered an indispensable process in mining excavation operations. Generally, only a small percentage of the total energy of blasting is consumed in the fragmentation and ...
Last year, Google introduced “AI Overviews,” a feature that displays an artificial intelligence-generated result summary at the top of many Google search pages. This feature is available to millions ...
AI institutions develop heterogeneous models for specific tasks but face data scarcity challenges during training. Traditional Federated Learning (FL) supports only homogeneous model collaboration, ...
Department of Computational Biology, Indraprastha Institute of Information Technology, New Delhi, India The function of long non-coding RNA (lncRNA) is largely determined by its specific location ...