We use algorithms every day for things like image searches, predictive text, and securing sensitive data. Algorithms show up ...

Abstract: In federated learning, non-independently and non-identically distributed heterogeneous data on the clients can limit both the convergence speed and model utility of federated learning, and ...

A team of UW undergrads studying applied math and computer science gained real-world experience through an AI internship with Royal Credit Union last summer, the basis of which is still being expanded ...

Florida has entered the quantum era in a single, very tangible step: a 4,400‑qubit machine is being installed on the Boca ...

University of Kentucky is launching the state's first Bachelor of Science in AI, preparing students for future job markets by training them in advanced artificial intelligence and data analytics.

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

(2026) AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines. Open Journal ...

“There are known knowns. There are known unknowns. But there are also unknown unknowns—things we do not yet realize we do not know.”—Donald Rumsfeld (2002) While modern machine learning (ML) ...

Abstract: Deep learning (DL), a branch of machine learning (ML), is the core technology in today’s technological advancements and innovations. Deep learning-based approaches are the state-of-the-art ...

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

"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 ...