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

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 ...

When a student writes their first line of code and sees a computer respond, something powerful happens -- curiosity turns ...

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

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

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 ...

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

Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

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 ...

Image courtesy by QUE.com Artificial intelligence can feel like an abstract concept—something that happens inside massive ...