BackgroundFluorescence microscopy is an indispensable tool for observing cellular dynamics and internal structures. To reduce photobleaching and ...

Meta's new hyperagent framework breaks the AI "maintenance wall," allowing systems to autonomously rewrite their own logic ...

ThinkLabs AI, a spin-off from GE Vernova, which has raised $28 million, including from Nvidia, is using deep learning to ...

There is no doubt that the semiconductor industry is in an era of rapid and profound transformation, driven by an increasing ...

The Netherlands became the first European country to approve Tesla's Full Self-Driving (Supervised), with the Dutch Vehicle ...

Investigators developed and validated a masked autoencoder deep learning model using vision transformer technology to automate the detection and grading of nuclear cataracts from slit-lamp images.

A new study shows that self-supervised artificial intelligence may offer a more practical path for detecting concrete cracks ...

A single dose of psilocybin can lead to lasting shifts in a person’s life values, such as an increased appreciation for life and greater self-acceptance. These lasting changes appear to be driven by ...

Foundation models (FMs), which are deep learning models pretrained on large-scale data and applied to diverse downstream ...

Factoring out nucleotide-level mutation biases from antibody language models dramatically improves prediction of functional mutation effects while reducing computational cost by orders of magnitude.

Cardiovascular Diseases (CVD) are the leading cause of death globally. Non-invasive, cost-effective imaging techniques play a crucial role in early detection and prevention of CVD. Optical Coherence ...