Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Agnik International, a leading data science company with market-leading analytic products, today announced that they are developing a new distributed machine learning architecture based on decades of ...

A mother's health during pregnancy, childbirth and the postpartum period is the foundation of lifelong well-being, directly ...

By Eric Butterman SHARE From autonomous cars to video games, reinforcement learning (machine learning through interaction ...

A team of UW undergrads studying applied math and computer science gained real-world experience through an AI internship with Royal Credit Union last summer, the basis of which is still being expanded ...

NR Narayana Murthy, co-founder of Infosys, reflects on leadership, governance and India’s entrepreneurial future in a wide-ranging conversation with . He argues for compassionate capitalism, founder a ...

Cannabis is now entering a similar inflection point, where algorithms may shape what gets grown, how it’s sold, and who wins in a rapidly growing industry.

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

As organizations leverage new AI systems, they need to prioritize two of the most important building blocks of trust: effective training and clear communication.

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...