Whether you're a scientist brainstorming research ideas or a CEO hoping to automate a task in human resources or finance, you'll find that artificial intelligence (AI) tools are becoming the ...

The deal for Intersect, a data center and energy developer, is set to help Google built out its infrastructure for artificial ...

If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

The cybersecurity landscape in 2026 presents unprecedented challenges for organizations across all industries. With ...

In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

Ursa Space Systems, a leading provider of satellite-based analytic solutions, is pleased to announce it was awarded a contract for the Missile Defense Agency Scalable Homeland Innovative Enterprise ...

A new technical paper titled “A Tensor Compiler for Processing-In-Memory Architectures” was published by researchers at ...

Abstract: Learning from data streams originating from non-stationary environments is vital for many real-world applications. A notable challenge in this task is concept drift. Most existing methods ...

Equifax (NYSE: EFX) secured 27 patents in the second half of 2025, bringing the total number of patents secured for the year ...

A new approach is making it easier to visualize lifelike 3D environments from everyday photos already shared online, opening ...