An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...
VL-JEPA predicts meaning in embeddings, not words, combining visual inputs with eight Llama 3.2 layers to give faster answers ...
By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...
Audio artificial intelligence startup Gradium is launching today after closing on an impressive $70 million seed funding round, just three months after it was founded. The startup is backed by ...
Volvo CE designs smarter with model-based systems engineering (MBSE). By connecting requirements, models and field data into a single digital thread, they were able to reduce errors, accelerate ...
In their classic 1998 textbook on cognitive neuroscience, Michael Gazzaniga, Richard Ivry, and George Mangun made a sobering observation: there was no clear mapping between how we process language and ...
Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands The rapid growth of large-scale neuroscience datasets has spurred diverse modeling strategies, ranging ...
The LLM4TR framework proposed in this survey. A curated collection of papers, datasets, and resources related to Large Language Models for Transportation (LLM4TR). This repository serves as the online ...
Abstract: The increasing penetration of distributed energy resources into active distribution networks (ADNs) has made effective ADN dispatch imperative. However, the numerous newly-integrated ADN ...
Researchers at the Massachusetts Institute of Technology (MIT) are gaining renewed attention for developing and open sourcing a technique that allows large language models (LLMs) — like those ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback