V3.2, a family of open-source reasoning and agentic AI models. The high compute version, DeepSeek-V3.2-Speciale, performs ...

To speed up computation, deep neural networks (DNNs) usually rely on highly optimized tensor operators. Despite the effectiveness, tensor operators are often defined empirically with ad hoc semantics.

Sub‑100-ms APIs emerge from disciplined architecture using latency budgets, minimized hops, async fan‑out, layered caching, ...

Abstract: The rapid rise of generative AI reshapes society, transforming jobs, relationships, and core beliefs about human essence. AI’s ability to simulate empathy, once considered uniquely human, ...

However, we did not find evidence of a similar association based on the frequency of viewing social media content. This provides evidence that some types of active social media use (ie, posting) have ...

Understand the difference between Data Types and Abstract Data Types (ADT) in this clear breakdown of data structure fundamentals. Learn how they are defined, how they work, and why ADTs are essential ...

Abstract: Data assimilation (DA) is facing major challenges in terms of its ability of handling the ever-increasing volume of valid, useful, and potentially impactful environmental data and the ...

Data centers create new jobs, use significantly less water than the clothing and beef industries, and don't drive up electricity rates. Data centers have become an essential part of powering our daily ...