Speechify's Voice AI Research Lab Launches SIMBA 3.0 Voice Model to Power Next Generation of Voice AI SIMBA 3.0 represents a major step forward in production voice AI. It is built voice-first for ...

Denver also had six players elected to the 2026 Pro Bowl, which tied for a league high. Meinerz, Bolles and outside linebacker Nik Bonitto were named starters, and Bolles and Bonitto were joined at ...

Gemspring Capital has acquired both companies, enabling a strategic merger that will deliver improved customer experience, wider geographic reach and greater investment in innovation The merger of two ...

Gemspring Capital has acquired both companies, enabling a strategic merger that will deliver improved customer experience, wider geographic reach and greater investment in innovation The merger ...

Mobile Fortify app being used to scan faces of citizens and immigrants – but its use has prompted a severe backlash Immigration enforcement agents across the US are increasingly relying on a new ...

Super recognizers excel because their eyes lock onto key facial features, looking at the right parts at the right moment. Leaked emails about removal of Black WW2 soldier memorials spark backlash ...

UK scientists have found that people can't tell the different between human and AI-generated faces without special training, per a dystopian study published in the journal Royal Society Open Science.

It's quick and easy to access Live Science Plus, simply enter your email below. We'll send you a confirmation and sign you up for our daily newsletter, keeping you up to date with the latest science ...

Five minutes of training can significantly improve people's ability to identify fake faces created by artificial intelligence, research published in the journal Royal Society Open Science shows.

A stranger’s face flickers past you on a crowded street, and something in you clicks. Years later, you could still pick that same face out of a grainy photo. For a small group of people known as super ...

This time of year, many of us pause to reflect on what we’re grateful for—family, friends, health, and the comforts of home. But there’s one group we often overlook: The people we work with every day.

Some people are so good with faces that there's a name for them—super-recognizers. And a new study using eye-tracking technology has given us some insights into how they do it. Although most of us ...