Here is the AI research roadmap for 2026: how agents that learn, self-correct, and simulate the real world will redefine business automation.
This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...
A Multilingual-First Approach to Language Learning. Qlango has announced the continued expansion and global availability of ...
Top AI researchers like Fei-Fei Li and Yann LeCun are developing world models, which don't rely solely on language.
New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...
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 ...
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 ...
As 6G envisions the convergence of ultra-fast communications, integrated sensing, and native AI capabilities across diverse environments — including terrestrial, aerial, and satellite domains — ...
Threat Designer is an AI-driven agent that automates and streamlines the threat modeling process for secure system design. Harnessing the power of large language models (LLMs), it analyzes system ...
Modern large language models (LLMs) might write beautiful sonnets and elegant code, but they lack even a rudimentary ability to learn from experience. Researchers at Massachusetts Institute of ...
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