As LLM scaling hits diminishing returns, the next frontier of advantage is the institutionalization of proprietary logic.

Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.

The final, formatted version of the article will be published soon. Background. Federated learning (FL) could boost deep learning in neuroimaging but is rarely deployed in a real-world scenario, where ...

BrainWhisperer is Tether’s Brain-to-text project. Tether is earmarking resources to build technologies that push the borders of intracranial electrocortical decoding. The latest result is a variable ...

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 ...

Abstract: In affective neuroscience and emotion-aware AI, understanding how complex auditory stimuli drive emotion arousal dynamics remains unresolved. This study introduces a neurobiologically ...