Despite the well-established facilitatory effects of multisensory integration on behavioural measures, standard neuroimaging approaches have yet to reliably and precisely identify the corresponding ...

Abstract: This paper investigates the set-membership state estimation problem for a class of networked time-varying systems with multi-rate measurements over half-duplex relay communication networks.

Large reasoning models (LRMs) excel on complex problems but face a critical barrier to efficiency: reinforcement learning (RL) training requires long rollouts for outcome-based rewards, where ...

Tesla plans to end production of its Model S and Model X vehicles in the spring. The company will convert the factory space to build its Optimus robot. CEO Elon Musk stated the move is part of a shift ...

Here’s a cheat sheet for decoding this year’s A.I.-driven tech lingo, from RAG to superintelligence. By Brian X. Chen Brian X. Chen is The Times’s lead consumer technology writer and the author of ...

This article introduces the Black Sea Battle Lab (BBL) logic model, a framework designed to trace how Ukraine’s operational responses to Russia’s invasion link strategic pressures to measurable ...

After poring over recordings from sperm whales in the Caribbean, UC Berkeley linguist Gasper Begus had an unlikely breakthrough. According to a new study from Begus and his colleagues with Project ...

Researchers develop a novel topology-aware multiscale feature fusion network to enhance the accuracy and robustness of EEG-based motor imagery decoding Electroencephalography (EEG) is a fascinating ...

Can large language models collaborate without sending a single token of text? a team of researchers from Tsinghua University, Infinigence AI, The Chinese University of Hong Kong, Shanghai AI ...