This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

Neural networks shape many tools you rely on every day, from photo filters to medical software. Building these systems is ...

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...

Recently, a research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a new deep learning method that improves the classification accuracy of mixed ...

Shifting focus on a visual scene without moving our eyes—think driving, or reading a room for the reaction to your joke—is a ...

Shifting focus on a visual scene without moving our eyes - think driving, or reading a room for the reaction to your joke - ...

An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...

Artificial intelligence systems that are designed with a biologically inspired architecture can simulate human brain activity before ever being trained on any data, according to new research from ...

Critical illness poses a significant global health challenge, disproportionately affecting low- and middle-income countries ...

Aspens and standing dead trees, which are important to forest biodiversity, can be reliably identified from openly available ...