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 ...

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 ...

To mitigate algorithmic obscurity, leaders require a systematic approach to strengthening organisational signals. The A-V-S ...

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

Anil Seth, one of the world’s leading neuroscientists studying consciousness, stands at the centre of this inquiry.

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 ...

SEALSQ Corp (NASDAQ: LAES) ("SEALSQ" or "Company"), a company that focuses on developing and selling Semiconductors, PKI, and ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

The future is being coded now line by line, doctrine by doctrine. If speed outruns ethics and automation eclipses accountability, victory may come at the cost of agency itself.

Global AI in Epidemiology Market size is expected to be worth around USD 6,041.0 million by 2033 from USD 549.1 million in 2023.

Research reveals that knowledge distillation significantly compensates for sensor drift in electronic noses, improving performance in gas-sensing applications.

IBM researchers unveil quantum algorithm achieving potential exponential speedup for solving chaotic differential equations, with implications for fusion energy and climate modeling. IBM researchers ...