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 Post-Quantum technology hardware and software products, today announced ...

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 ...

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.

Africa has 11 percent of the world’s population and 24 percent of the global disease burden, yet only 3 percent of the world’s health workers and less than 1 percent of global health expenditure.

Research reveals that knowledge distillation significantly compensates for sensor drift in electronic noses, improving ...

In machine learning, it is often necessary to statistically compare the overall performance of two algorithms (e.g., our proposed algorithm and each compared baseline) based on multiple benchmark ...