By applying machine-learning models to single-cell brain recordings taken from humans in conversation, a research team ...

A new study demonstrates that a person with severe paralysis caused by amyotrophic lateral sclerosis (ALS) can use a brain-computer interface (BCI) at home to communicate, work and interact with the ...

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 ...

When every message has a different probability, the smartest code isn't the simplest one. This is the elegant puzzle behind how information gets compressed before it's ever sent. Lawrence: Trump's the ...

Google launched its Gemma 4 open models this spring, promising a new level of power and performance for local AI. Google’s take on edge AI could be getting even faster already with the release of ...

ATCC and the Broad Institute report the development of engineered isogenic cancer models designed to replicate resistance to targeted therapies, beginning with osimertinib, the latest-generation ...

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 ...

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

Comorbidity—the co-occurrence of multiple diseases in a patient—complicates diagnosis, treatment, and prognosis. Understanding how diseases connect at a molecular level is crucial, especially in aging ...

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.