Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...

Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.

OPT needs to know the future access sequence Theoretically best cache hit rate Always replaces the data item that will be accessed "furthest in the future" In deep learning training, data access ...

Abstract: Big data applications such as Artificial Intelligence (AI) and Internet of Things (IoT) have in recent years been leading to many technological breakthroughs in system modeling. However, ...

Shape Memory Alloys (SMAs) have emerged as critical components in the field of robotics, offering compact and ...

A peer-reviewed paper about Chinese startup DeepSeek's models explains their training approach but not how they work through ...

Real-time security clearances are becoming increasingly common in manufacturing of advanced-node semiconductors, where data ...

Thanks to computer numerical control (CNC) fabrication technologies, the method may also be applied to design-laminated timber gridshells. Credit: ©2025 Masaaki Miki and Toby Mitchell CC-BY-ND A new ...

Black Forest Labs Inc., a startup that develops artificial intelligence models optimized for image generation tasks, has raised $300 million in funding.

Modern consumer brands are confronting an uncomfortable truth: the products they once made for retail shelves often fail online. The search behavior, recommendation engines, AI assistants, and ...