We can all think of plenty of things we would like to tell our predecessors to avoid stupid mistakes, but would they listen?

The NVIDIA Ising open model family delivers the world’s best AI-based quantum processor calibration capabilities, as well as quantum error-correction decoding that is up to 2.5x faster and 3x more ...

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: In this brief, the encoding-decoding-based state estimation problem is investigated for a class of state-saturated systems under buffer-aided mechanism where the wireless communication is ...

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 ...

Kendra Pierre-Louis: For Scientific American’s Science Quickly, I’m Kendra Pierre-Louis, in for Rachel Feltman. With some estimates placing the number of Hawaiian monk seals left in the wild at just 1 ...

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 ...

Abstract: This paper is concerned with the resilient distributed state estimation issue for smart grids under probabilistic encoding-decoding scheme and randomly occurring deception attacks. Due to ...

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 ...

The rapid growth of large-scale neuroscience datasets has spurred diverse modeling strategies, ranging from mechanistic models grounded in biophysics, to phenomenological descriptions of neural ...