The mathematics behind artificial intelligence (AI) and machine learning (ML) rely on linear algebra, calculus, probability, ...

Understanding Deep Learning. To understand deep learning and how it differs from machine learning, you need to understand ...

In a groundbreaking technical implementation guide published in the International Journal of Scientific Research in Computer ...

Artificial intelligence (AI) has become an integral part of modern enterprises, but data privacy concerns remain a major challenge. Sunil Kumar Gosai, an expert in AI-driven computing, explores an ...

SiTime’s single-chip precision timing device enables 3× better synchronization in a 4× smaller footprint than traditional timing solutions.

Deep learning models go above and beyond traditional machine learning and can process data and recognize patterns much more efficiently.

Expanded DFT and test strategies are catching more SDEs, but this rare problem in server fleets is far from solved.

For years, Elon Musk has talked about Dojo — the AI supercomputer that will be the cornerstone of Tesla’s AI ambitions. It’s ...

As demand for real-time intelligence grows, edge AI is well-positioned to continue its substantial impact in many industries.

proposed a graph machine learning model, namely TREE, based on the Transformer framework. With this novel Transformer-based architecture, TREE not only identifies the most influential omics data ...

Cross-sector collaborations—such as retailers coordinating with logistics providers—capitalize on real-time insights to ...

Methods: We evaluated the differences in benign, lymphoma and metastasis superficial lymph nodes using ultrasonography and tissue ... Furthermore, metabolomics coupled with deep learning models for ...