Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?

If you’ve shopped on Amazon in the past few months, you might have noticed it has gotten easier to find what you’re looking ...

Artificial Intelligence enabled threat detection for Blockchain attacks mainly involved in the application of deep learning and machine learning techniques to identify and mitigate vulnerable and ...

Sahaj Tushar Gandhi, a machine learning engineer specialising in computer vision and AI applications, works across academic ...

Johns Hopkins University School of Medicine researchers unveil a new artificial intelligence (AI) deep learning digital ...

Giuseppe De Palo of JAMS explores how mediation can adapt to resolve disputes arising from algorithmic hiring systems without ...

The same personalized algorithms that deliver online content based on your previous choices on social media sites like ...

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they ...

Blink is bringing a dose of AI to its security cameras with no increase in costs, making it the best deal I've seen for this feature.

A specially trained algorithm could aid the search for biological activity both on the early Earth and on other worlds.

Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to learn and update at different speeds.

Watt’s online MSc Computer Science blends academic expertise with practical, real-world teaching, including algorithm demos ...