The path to AI success starts with a single, well-chosen use case: one that is bold enough to inspire, urgent enough to ...

Generative AI models have been used to create enormous libraries of theoretical materials that could help solve all kinds of ...

At random, I chose glm-4.7-flash, from the Chinese AI startup Z.ai. Weighing in at 30 billion "parameters," or neural weights, GLM-4.7-flash would be a "small" large language model by today's ...

Led by Professor Fu Jin, the study addresses a critical challenge in radiation therapy: balancing the computational speed and ...

Solar panels and wind turbines increasingly dot the landscape, but the future of clean energy may well depend on how smoothly ...

RIT alumnus Adam Giammarese received the Edward N. Lorenz Early Career Award for his Ph.D. research in chaos theory and ...

Automatically numbering and weighting electronic states instead of taking averages improves estimates of target molecular orbitals.

This role requires close collaboration with cross-functional teams throughout the product development lifecycle to ensure models accurately ...

Abstract: Edge computing has emerged as a popular paradigm to meet the growing demands of time-sensitive and compute-intensive tasks. In edge computing systems, the problem of task load imbalance ...

Imagine Jo: Everyone in Jo's life recognizes her as an outstanding problem solver. She's the type of person who seems capable of almost anything. Jo excels at intuitive problem-solving. Over her life, ...

Artificial intelligence is transforming how we cure disease, defend nations, and deliver goods. But the same technology driving this surge of innovation is also testing the limits of the system that ...

Moog uses advanced modeling and simulation tools—such as Simulink, MATLAB and its proprietary MAST library—to design and optimize high-performance motion control systems. Real-world applications ...