OverviewThe global NLP in healthcare & life sciences market is anticipated to expand at a CAGR of nearly 25% during the forecast period, fueled by widespread EHR adoption, rising interest in ...

While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...

Machine​‍​‌‍​‍‌​‍​‌‍​‍‌ learning models are highly influenced by the data they are trained on in terms of their performance, ...

For decades, cybersecurity relied heavily on signature-based detection and static rule systems. These tools were effective ...

Discover how homomorphic encryption (HE) enhances privacy-preserving model context sharing in AI, ensuring secure data handling and compliance for MCP deployments.

Horizen officially launches as an EVM-native L3 on Base to delivere regulatory-compliant, privacy-first applications to the Ethereum ecosystem.

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

Generative AI in healthcare refers to advanced algorithms capable of generating new, original medical data or insights by learning patterns from existing datasets. These systems utilize deep learning ...

Sylvester Tafirenyika is using research-driven, privacy-first systems to help clinicians reduce avoidable hospital ...

Service robots are moving quickly into healthcare, security, and public environments. Yet their increasing reliance on visual and spatial perception technologies has introduced a major hurdle: ...

Synvo AI is a deep-tech spin-off from Nanyang Technological University (NTU) Singapore, specialising in multimodal AI, ...

Amazon reshapes AI leadership under Peter DeSantis uniting AGI and custom chips, helping you understand where the company ...