The agency’s 31% year-over-year surge in AI use cases includes work with predictive models and surveillance technologies that ...

SEALSQ Corp (NASDAQ: LAES) ("SEALSQ" or "Company"), a company that focuses on developing and selling Semiconductors, PKI, and Post-Quantum technology hardware and software products, today announced ...

Proponents of AI believe these tools can be harnessed to improve medical care. Pattern-recognition models, in particular, have already proven effective at analyzing medical imaging scans, often ...

How is India’s Army using AI in real operations and why do commanders insist machines can’t replace human judgment?

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

Mark Cuban, the legendary billionaire entrepreneur, is issuing a warning that Wall Street must heed, bifurcating the world into two sets of companies: those good at AI and those that are not. Ads ...

The future is being coded now line by line, doctrine by doctrine. If speed outruns ethics and automation eclipses ...

The brainstem is the body’s signal crossroads, a compact hub where sensory information, motor commands, and vital autonomic functions all pass through the same narrow corridor. For decades, clinicians ...

When Zimbabwean government officials assert that “Zimbabwe is ready for Artificial Intelligence,” the declaration is often received as a broad symbol of technological ambition. The phrase circulates ...

In January, auto exports reached 681,000 units, up 44.9% YoY, but down 9.5% MoM. NEV exports were 302,000 units, doubling YoY and rising 0.5% MoM; traditional fuel vehicle exports were 380,000 units, ...

Artificial intelligence is starting to pick up patterns in elephant rumbles, whale songs, and bird calls that humans have missed for generations, turning science fiction into a live research agenda.

AI systems excel at pattern recognition, but taxes and investments demand more than patterns. A tax algorithm might correctly categorize income streams based on historical filings, yet it cannot ...