Could pure AI encoding reinvent compression and make traditional codecs obsolete? Monica Heck examines what the future might ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

QuiX Quantum executives point to catalyst simulations, molecular dynamics, machine learning, and data analysis as use cases ...

Across global manufacturing sectors, particularly within the rapid infrastructure expansions of Belt and Road countries, the demand for precision-engineered architectural stone has escalated. To ...

Sophisticated AI models tend to require a lot of memory and take up a lot of storage space. One of the ways to reduce that ...

The Trump administration wants a useful quantum computer in two years. Microsoft wants one in three. Independent researchers ...

Three-year strategic partnership to strengthen claims governance and support improved customer outcomes at scale - AI-powered analytics platform to enhance claims quality, support misuse detection and ...

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...

Doctors at central Ohio’s major hospital systems say artificial intelligence is helping them see more than they could before.

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

OpenAI researcher Alisa Liu described the job hunt as "challenging but also super rewarding," and recommended plenty of sleep before interviews.

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.