A non-invasive cognitive assistant for blind people endows objects in the environment with voices, allowing users to explore the scene, localize objects, and navigate through a building with minimal training.

New computer algorithms have allowed people with paralysis to achieve the highest reported typing performance using a brain-computer interface.

Specific learning differences like dyslexia may play an essential role in advancing human knowledge and enriching the academic environment.

A well-trained deep learning neural network can outperform and can potentially assist expertly trained embryologists in selecting embryos based on their implantation potential, even amongst high-quality euploid blastocyst embryos.

Thousands of UK doctoral students and early-career researchers shared the repercussions of lockdown on their work and wellbeing.

Biochemical analysis in Xenopus egg extracts reveals that the MutSα mismatch sensor retains the DNA-bound replication clamp to maintain a post-replicative temporal window permissive to strand-specific repair of mismatches.

Neurons in human dorsal motor cortex, an area involved in controlling arm and hand movements, are also active – and show similar ensemble dynamics – during speaking.

Biological- or artificial-arm experience during early development has a significant effect on artificial-arm motor control in adulthood, providing evidence for limited sensorimotor plasticity beyond childhood.

Deep neural network modeling of auditory processing identifies distorted cross-frequency interactions as the key problem for the processing of speech in noise after hearing loss.