Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the ...

In an era where digital connectivity shapes economic growth and community development, Shashank Shekhar Katyayan led a ...

At its core, algorithmic journalism uses data analysis and machine learning tools to automate parts of news production. These ...

Practitioners such as Simon Denny, Chris Dorland, Sara Ludy and Jenna Basso Pietrobon are doing thought-provoking, transmedia ...

The global market for AI in education is projected to skyrocket from $4 billion in 2022 to $80 billion by 2030.

Xanadu Quantum Technologies has launched a project with Mitsubishi Chemical to develop quantum algorithms for extreme ...

To transition from LLMs to AGI, we need to overcome several major limitations and introduce fundamentally new capabilities ...

As a technical discipline, the field of AI began in the mid-20th century. In 1950, British mathematician Alan Turing proposed ...

PS5 Pro upgrades this year? Future consoles, PCs and the cloud? I learned all about Project Amethyst and what it means for ...

Applied Analytics professor Siddhartha Dalal discusses the impacts of applied technologies on real-life risk management.

But in an era of intense scrutiny and increasingly lean resources, utilities are challenged with how to successfully balance ...

A new approach to financial risk management combines ensemble machine learning algorithms with traditional financial theory to enhance systemic risk prediction. By integrating data-driven modeling ...