The Boston startup uses AI to translate and verify legacy software for defense contractors, arguing modernization can’t come at the cost of new bugs.

Introduction The proliferation of deepfake technology, synthetic media generated using advanced artificial intelligence techniques, has emerged as a ...

Homeland Security aims to combine its face and fingerprint systems into one big biometric platform—after dismantling ...

A new study finds that most people, even those with exceptional face-recognition skills, struggle to tell real faces from AI-generated ones.

There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.

Alibaba unveiled Qwen3.5, an open-weight, 397-billion-parameter mixture-of-experts model that only wakes up 17 billion neurons per prompt. The payoff? You get 60% lower inference ...

Turns out the factory of the future doesn't just need a software update... it needs a crash mat. Hangzhou-based Unitree Robotics says it will ship up to 20,000 humanoid robots in ...

It was a rocky 10-month effort by the Milwaukee police who attempted to convince the public getting facial recognition was a positive.

When companies and governments expand data collection in the name of security, sometimes the only way you can object is to opt out. And with facial recognition, the time to object is now.

This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.