High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

Tahoe Therapeutics - a biotech start-up based in San Francisco, California - is creating the largest ever atlas of cell-chemical interactions to inform drug discovery. Combining automated pipetting ...

Tech companies are building data centers as quickly as possible to run AI. These facilities are controviersial because they use copious amounts of electricity and might tax an electrical grid that in ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...

A techspert named Davey Jones is urging Gmail users to switch off several features over concerns that Google could automatically access their sensitive email data and use it to train AI. Arlette - ...

If you’re going online to buy some last-minute gifts this holiday season, there’s a chance the price you pay will be influenced by what’s known as “surveillance pricing.” Some retailers are using ...

Fears about AI data centers’ water use have exploded. Experts say the reality is far more complicated than people think. When I called him to talk more about AI and water, Masley emphasized that he’s ...

We live in a galaxy of data. From satellites and smartwatches to social media and swipes at a register, we have ways to measure the economy to an extent that would have seemed like science fiction ...

When the Coalition of Communities of Color (CCC) began a multi-year collaboration with the Oregon Health Authority (OHA), they worked together to modernize a critical public health information source: ...

COWETA COUNTY, Ga. — Massive data centers proposed for metro Atlanta expect to use millions of gallons of water per day. Some of those data centers are planning to use more water than entire Georgia ...

Artificial intelligence has developed rapidly in recent years, with tech companies investing billions of dollars in data centers to help train and run AI models. The expansion of data centers has ...

“AI” needs a lot of computing resources, which is why new data centers are cropping up anywhere there’s cheap land. But powering all those hungry servers takes a lot of energy, and overburdened power ...