Applying machine learning to genome-wide association and electronic health record data may usher in a new era of precision in ...

Instead of acting as isolated tools, ML, DT, and Edge AI work together to create intelligent, adaptive, and self-optimizing ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...

A new study combines eye tracking and artificial intelligence to identify the exact moments in an educational video that ...

Data has become one of the most valuable assets a company can own. Without data, AI systems would lack the foundation needed ...

Is AI reasoning an oxymoron? OpenAI recently raised $40 billion with a post- money valuation of $300 billion. CEO Sam Altman ...

This L&D approach results in a motivated workforce, internal employee mobility and faster decision-making for HR teams, says ...

Sentiment analysis is a technique used to figure out the emotional tone behind words. It tells you whether someone’s opinion is positive, negative, or neutral. Sentiment analysis helps machines sense ...

Increasingly, insurers are leveraging outcomes data, such as recovery trajectories, rates of readmission, and performance in ...

Jimmy Hu of Tensor Investment Corp shares insights on AI, blockchain, and how institutional trading strategies are evolving.

One-time prodigy Li Haoyu lost 13 games on the trot, drawing suspicion and subsequent sanction from global governing body ...

Virtual fashion models, among other industry advances in AI and data, can provide inspiration for businesses in other sectors ...