1. Deep Semantic Reconstruction: Breaking Through the Limits of Surface Expression Many users tend to directly copy and paste the output results when using AI-generated content, which is a major ...

Wang, S. (2025) A Review of Agent Data Evaluation: Status, Challenges, and Future Prospects as of 2025. Journal of Software ...

Crowdfunding, Financial Inclusion, Matthew Effect, Funding Disparities, PRISMA Methodology, Structural Barriers Share and Cite: N’Kupo, P. , Cultrera, L. and Croquet, M. (2025) Crowdfunding and the ...

One of the biggest risks to any AI tool is data integrity. Cybersecurity is built on the CIA triad of confidentiality, ...

AI's shift to inference at scale from model development is tilting data-center demand toward databases, especially those used ...

Emerging chiplet, memory, and interconnect technologies demand layered, automated solutions to deliver predictable ...

A few years ago, a new kind of AI called a diffusion model appeared. Today, it powers tools like Stable Diffusion and Runway ...

•This 300,000-sf replacement high school in Beaverton, Ore., is a design model for resilience and sustaiinability. •The old school will be razed to make way for parking. The Portland suburb of ...

Instead of bending a training-centric design, we must start with a clean sheet and apply a new set of rules tailored to ...

Nvidia is developing a data center reference design and expanded digital twin optimized for its hardware. At the AI Infrastructure Summit in Silicon Valley this week, the chip giant announced it was ...

Large Language Model (LLM) inference faces a fundamental challenge: the same hardware that excels at processing input prompts ...

Expectations are like elbows - stop it - everyone has them. When it comes to the Washington Commanders, it seems just about everybody has an opinion or assertion as to how good or bad they’ll be in ...