A study in Nature Communications by Michele Ceriotti’s group at EPFL has introduced a new dataset and model that greatly improve the efficiency of machine-learning interatomic potentials (MLIPs) and ...

This paper presents an important advance in genetically encoded voltage imaging of the developing zebrafish spinal cord in vivo, capturing voltage dynamics in neuronal populations, single cells, and ...

Artificial intelligence systems designed to physically imitate natural brains can simulate human brain activity before being trained, according to new research from Johns Hopkins University. “The work ...

Corporate leaders are racing to hire artificial intelligence talent, convinced that a few high-profile specialists can ...

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...

Wolfram-like attention framing meets spiking networks: event-triggered, energy-thrifty AI that “wakes” to stimuli.

Researchers at University of Tsukuba have identified a previously uncharacterized neural circuit that directly links ...