Ahead of HIMSS26, Sairohith Thummarakoti of Texas A&M University–Kingsville previews his talk on how agentic AI and low-code ...
Retrieval-augmented generation breaks at scale because organizations treat it like an LLM feature rather than a platform ...
Heavy machinery is entering a new phase where hydraulics, electronics and embedded software are engineered as one integrated system. Using model-based systems engineering (MBSE) as a framework to ...
"If our solar system is indeed moving this fast, we need to question fundamental assumptions about the large-scale structure of the universe." When you purchase through links on our site, we may earn ...
The latest ambition of artificial intelligence research — particularly within the labs seeking “artificial general intelligence,” or AGI — is something called a world model: a representation of the ...
A new artificial intelligence (AI) model called Centaur can predict and simulate human thought and behavior better than any past models, opening the door for cutting-edge research applications. When ...
Even though it might seem like Tesla has a lot going on—robotaxis, literal humanoid robots, and that ever-elusive affordable model that just keeps getting pushed back—its aging core lineup has only ...
Today’s electronic systems are an increasingly complex combination of hardware and software components. They contain an ever-expanding range of functions, require more computing power, have to operate ...
Destructive hurricanes. Huge ocean waves. Sandstorms and severe smog. Extreme weather events are becoming increasingly common, piling pressure on communities to prepare for a range of disasters with ...
New research from the Netherlands has shown that product-service-system business models applied to the PV business encourage the use of high-quality PV products and maximizing system lifespan. Their ...
Math is more than a school subject—it’s the engine behind scientific discovery, driving advances in everything from climate modeling to AI. At Microsoft Research Asia, senior researcher Xian Zhang is ...
The idea of simplifying model weights isn’t a completely new one in AI research. For years, researchers have been experimenting with quantization techniques that squeeze their neural network weights ...
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