The University of Connecticut has partnered with Eversource, the state’s lead energy provider, in a research effort to predict extreme weather events and their effects on energy systems and ...

An emerging approach in AI innovation is hybrid AI, which combines the scalability of machine learning (ML) with the ...

Kajal Sheth, Staff Engineer at Reactivate, discusses how engineering, data science, and AI are converging to shape the future of community solar and enhance clean energy resilience in the U.S.

Alembic raises $145M to scale causal AI and build one of the world’s fastest private supercomputers, challenging ChatGPT with enterprise-grade intelligence.

A companion paper, Integrating Sustainability into Software Engineering Education: A Course Redesign Initiative, compliments ...

Nicolò Bernardini, Edoardo Ciccarelli, Nicola Baresi, Roberto Armellin (2023)SUCCESSIVE CONVEX PROGRAMMING FOR HIGH-ORDER GUIDANCE AND NAVIGATION OF SATELLITES, In: Proceedings of the 2023 AAS/AIAA ...

Biological communities are rarely stable. Their composition is constantly changing, depending on the environmental conditions ...

Vibe coding creates unreliable software and risks long-term model collapse, where systems degrade due to compounding errors ...

For decades, data centers were designed with permanence in mind: fixed plans, rigid shapes and predictable life cycles.

For a long time, evolutionary biologists have thought that the genetic mutations that drive the evolution of genes and ...

Yoshua Bengio talks about his efforts to identify — and address — the risks posed by AI.

GE Aerospace‘s F110-GE-129 engine with the Axisymmetric Vectoring Exhaust Nozzle (AVEN) is to power Shield AI‘s future X-BAT ...