Scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory have developed a novel artificial ...

Overview: AI now supports doctors across diagnosis, triage, and operations in hospitals and clinics.From cancer screening to ...

What makes Vivek Shah's story resonate so deeply is that his commitment to quality and alignment extends far beyond the realm ...

When X's engineering team published the code that powers the platform's "for you" algorithm last month, Elon Musk said the ...

A new study suggests that applying a deep learning algorithm to routine abdominal CT scans could help identify fall risk ...

How the Cyberspace Administration of China inadvertently made a guide to the country’s homegrown AI revolution.

A complementary approach to AI aims to build tools that encourage collaboration rather than bypass human input.

Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

The rules of digital visibility have fundamentally changed, and most law firms are still following the old playbook. AI ...

A common mistake in email marketing is using AI as a tactical shortcut without understanding customer needs and intent.