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

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

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

Artificial reinforcement learning is just one lens to evaluate organizations. However, this thought experiment taught me that ...

AI's coding capabilities prompt students to reevaluate the value of traditional computer science education and future career paths.

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

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...

When a student writes their first line of code and sees a computer respond, something powerful happens -- curiosity turns into creation. At the School of Sciences (SSc), JAIN (Deemed-to-be University) ...

Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...

Apple has updated Xcode to include agentic coding via Claude and OpenAI, allowing developers to automate complex app-building tasks directly on Mac, data & AI ...

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 ...

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 ...