A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

A research team led by Massachusetts University has combined a touch sensor with a smart memory chip that only reacts when necessary to improve energy efficiency and computing speed. The team’s ...

Researchers at NYU and the University of Florida claim its neural network proposes molecular structures at 10 times the speed ...

Zisman US Tax Services announced the continued expansion of its remote-first operations to better support international clients through a secure, digital ...

The big AI companies promised us that 2025 would be “the year of the AI agents.” It turned out to be the year of talking ...

Single-cell analyses have emerged as powerful tools for studying cellular heterogeneity and gene regulation. Single-cell chromatin accessibility sequencing (scCAS) is a key technology that enables the ...

A research team affiliated with UNIST has reported a novel synthesis strategy that enables the direct intercalation of a wide ...

The funding will focus on three key areas: fundamental AI, applied AI and talent development. Read more at straitstimes.com.

A Scripps team has adapted advanced imaging and computation to measure cell membrane thickness inside intact animal and yeast ...

Artificial Intelligence (AI) is revolutionizing the dynamics of technological advancement in the field of medical imaging, ...

To this day, animal testing remains one of the most controversial issues in animal rights. Activists have been fighting ...

Context-dependent genetic modifiers of neurodegenerative condition revealed through multimodal machine learning ...