Key Takeaways Understanding core concepts like supervised learning, overfitting, and evaluation metrics is vital for data ...

With technology/AI taking over administrative and repetitive tasks, human roles will shift towards more strategic, creative, ...

To close the gap between AI ambition and reality, executives must focus on business value, disciplined engineering practices ...

Priya Ranjan works at the intersection of computational biology and bioinformatics, focusing on plant-microbe interactions, ...

A research team at the University of Barcelona (UB) has shown how artificial intelligence (AI) models can detect personality ...

Company’s B Impact score climbed 19.9 points, while its 2024 initiatives cut carbon footprint 17.1%, shifted 23% of ...

Purdue’s innovative Master of Science in Data Science (MSDS) is an accessible, skills-focused master’s designed to meet the needs of professionals who have some background in data science and want to ...

MSAI students teamed up with students from Northwestern’s MBAi Program to tackle a fast-food customer-satisfaction challenge ...

For over a decade, researchers have considered boson sampling—a quantum computing protocol involving light particles—as a key ...

Iya Khalil, PhD, discusses Merck & Co.’s approach to artificial intelligence (AI), and success in applying the technology, ...

As the dairy industry increasingly adopts automation with the use of sensors and robotics, researchers at Texas A&M AgriLife ...

MCPS is leaning toward implementing a model that would create six regions of four or five high schools offering program ...