Smart home tech brands will often label everything as "AI," but not all of it will actually be. Conversational voice ...

Digital Twin of the Ocean is a continuously updated virtual counterpart of the real ocean that exchanges data in real time ...

Koteswara Rao Chirumamilla is a senior enterprise data engineering and cloud modernization professional with over fourteen ...

Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...

Abstract: Agile quadruped robots are ideal for performing heavy-load transportation tasks in industrial settings; however, the uncertainty of external disturbances and distribution shifts pose ...

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 ...

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

As AI is embedded inside systems, teams must design APIs with governance, observability and scalability in mind.

Why does stopping at a red light become automatic? New neuroscience shows how the cerebellum turns visual cues into fast, ...

TotalEnergies' deployment of machine learning at its Port Arthur, Texas, refinery demonstrates how predictive AI can ...

A collaboration between BHP Group Limited (NYSE: BHP) and Microsoft has used artificial intelligence and machine learning with the aim of improving copper recovery at the world’s largest copper mine.

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