A Meta machine learning engineer shares the startup and Big Tech experience he highlighted on his résumé to land the job.

In the modern beauty industry, data-driven personalization is no longer a luxury-it is an expectation. However, building a medical-grade diagnostic tool from scratch is a monumental task, requiring ...

In a unique class hosted at the Smithsonian Conservation Biology Institute, early-career ecologists learned to apply emerging ...

Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits and suddenly, a molecule makes a promising new medicine. Normally, creating better ...

Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits, and ...

LCGC International’s interview series on the evolving role of artificial intelligence (AI)/machine learning (ML) in separation science continues with Boudewijn Hollebrands from Unilever Foods R&D, ...

Join Quin Miller as he shares his inspiring journey transitioning from real estate to building a thriving vending machine and ATM business. In this in-depth interview, Quin reveals the strategies ...

This year, Neural built on that success with the Quad Cortex mini, which shrinks the device size in half, cuts the ...

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.

The Evo2 genomic language model can generate short genome sequences, but scientists say further advances are needed to write ...