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 ...

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

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.

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

Divisions within the US population on social and political issues have increased by 64% since 1988, with almost all this coming after 2008, according to a study tracking polarization from the end of ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

“My primary focus for the India AI Mission would be to put all the money, first of all, into collecting data,” said one of ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Discover how data analytics helps businesses strengthen supply chain resilience by improving visibility, forecasting risks, optimizing inventory, and enabling faster, smarter decisions.

As well as behavioural and technical issues, firms must also solve a variety of organisational problems to make AI work for ...

Artificial intelligence is reshaping cybersecurity, but much of that progress has focused on cloud and enterprise ...