AI-generated images are getting scarily realistic, but there are still clear signs to help you spot the fakes.
In this account, advanced by Thomas Philbeck and Nicholas Davis of the World Economic Forum, analog machines replaced human ...
Many assumed Amazon's 16,000 corporate layoffs announced last week reflected CEO Andy Jassy’s push to reduce corporate ...
The founder of Couth Studios is applying machine-learning tools and customer data to challenge fashion’s traditional ...
A 'learner,' 'interpreter' and 'oracle' work together with minimal experiments to draw parallels between historical data and new battery designs A ...
A social network where humans are banned and AI models talk openly of world domination has led to claims that the ...
Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...
Artificial intelligence (AI) regulation and litigation are set to take center stage in 2026, as new laws, guidance, and enforcement priorities ...
MIAMI, FL, UNITED STATES, January 16, 2026 /EINPresswire.com/ -- At a time when innovation, storytelling, and purpose ...
As Winter Storm Fern swept across the United States in late January 2026, bringing ice, snow and freezing temperatures, it ...
When AI-generated images first emerged, the compliance conversation focused entirely on risk. Training data provenance. Copyright uncertainty. The possibility of generating something problematic.
A new study finds that humans and AI spot different kinds of deepfakes — hinting at the need to team up to fight them.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results