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.

From smarter flight planning to personalised airport experience, AI is changing how we fly, often behind the scenes, but with ...

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 ...

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

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

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 ...

Best known in ag for crop spraying and field mapping, drones can also be used for pollination, yield forecasting, and ...

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

This moment of revelation is common to many people who don’t form mental images. They report that they might never have ...