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.

These days, it seems like every tech company and their corporate parent is looking to squeeze AI tools and features into ...

While precision seems critical for science, researchers from the U.S. Department of Energy's (DOE) Brookhaven National ...

For weeks now, the global tech industry has been waiting for a major artificial intelligence launch from DeepSeek, seen as a ...

Artificial intelligence is rapidly transforming the landscape of fraud, making it easier than ever for scammers to impersonate real people, create fake identities and replicate legitimate websites, ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

A new deep-learning AI model may help scientists better decipher the plot of the genetic instruction book and learn how typos alter the story. AlphaGenome, created by Google DeepMind, is the latest in ...

The machine vision software manufacturer MVTec Software has announced a technology collaboration with Qualcomm Technologies to enable customers of MVTec HALCON software to access Qualcomm Dragonwing ...

A single salmon scale can reveal a great deal about the fish’s life. As the salmon grows, its scales form concentric rings whose number and spacing reflect its body growth over time. A new paper in ...

Lindsey Ellefson is Lifehacker’s Features Editor. She currently covers study and productivity hacks, as well as household and digital decluttering, and oversees the freelancers on the sex and ...

A retrospective cohort study found that artificial intelligence (AI) assistance significantly improved the sensitivity of emergency clinicians in detecting paediatric elbow fractures, correctly ...

MASSISTANT predicts molecular structures from GC-EI-MS spectra using SELFIES encoding, overcoming traditional database limitations. SELFIES encoding ensures valid molecular predictions, unlike SMILES, ...