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

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

Current discourse predominantly focuses on the detrimental effects of artificial intelligence (AI), with relatively little attention given to its potential advantages. Today, I am introducing ...

The Northwestern CS Theory Group and Toyota Technological Institute at Chicago co-hosted the Junior Theorists Workshop held ...

Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and brand-new LLM-based hybrids, revealing that hybrids give best-in-class routes ...

The future of work will demand fluency in both science and technology. From addressing climate change to designing ethical AI systems, tomorrow’s challenges will require interdisciplinary thinkers who ...

GenAI may be accelerating a developmental transition in how learners conceptualize programming itself.

"Welcome to the world of RDHNet, a groundbreaking approach to multi-agent reinforcement learning (MARL) introduced by Dongzi Wang and colleagues from the College of Computer Science at the National ...

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by laser-scanning technologies. Doing the same with forest data has proven far more ...

Peer review has met its match.

A team of scientists from EPFL and Alaska Pacific University has developed an AI program that can recognize individual bears ...