In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct ...

The next generation of financial crime prevention will be built on smarter architectures, not bigger data pools.

Read more about Privacy-by-design AI targets mind wandering and disengagement in digital classrooms on Devdiscourse ...

The question is not whether it will be used — it is who owns it, who benefits from it, and whether patients are participants ...

Q2 2026 Earnings Call February 19, 2026 5:30 PM ESTCompany ParticipantsJeffrey Liaw - CEO & DirectorLeah Stearns - Senior VP ...

Real-world data (RWD) is transforming clinical research, augmenting existing randomized controlled trial (RCT) data to de-risk studies and improve generalizability. With regulators setting clearer ...

Artificial intelligence (AI) has become an indispensable tool in Estonian hospitals, aiding both stroke and radiation therapy treatment while saving doctors hours of valuable time. At the same time, ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

Beyond just laws, there’s a growing movement towards creating ethical guidelines for AI. Think of these as the conscience of ...

Gearheads often talk of limited-slip and locking differentials, but how do the "standard" mechanical diffs compare with electronic versions?

Your brain calculates complex physics every day and you don't even notice. This neuromorphic chip taps into the same idea.