Quantum machine learning is being explored as the next frontier in cybersecurity, but new research shows it remains far from replacing established artificial intelligence systems in detecting phishing ...

Analogue engineering still relies heavily on manual intervention, but that is changing with the growing use of AI/ML.

In my Sex, Drugs, and Artificial Intelligence class, I have strived to take a balanced look at various topics, including ...

Jasmine Plummer shares the spatial omics techniques she has developed to investigate the cellular processes underlying ...

A recent study explored rapid evaporative ionization mass spectrometry (REIMS) as a high-throughput, real-time alternative. By analyzing metabolomic fingerprints from pig neck fat, REIMS was combined ...

High-performers often succeed through extraction—maximizing output at the cost of everything else. Two founders share what it ...

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...

In an industry historically defined by paper files, manual entries, and complex spreadsheets, cutting-edge technology ...

Motor control ICs deliver higher efficiency, along with AI/ML functionality for improvements in predictive maintenance.

As the way of managing enterprise data assets evolves from simple accumulation to value extraction, the role of AI has shifted accordingly: it is no longer limited to basic data processing and ...