AI’s performance is often dubious, and to use it for safety-critical applications without continuous monitoring and iterative ...

Drivers are looking at a long list of rules if they're hoping to claim a new tax deduction for car loan interest on 2025 ...

Siemens PAVE360 Automotive, a cloud-based digital twin platform, offers automakers a jump-start in adopting software-defined ...

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...

AI helps security teams move faster — but it’s also helping attackers do the same, turning cybersecurity into a race of ...

The firm acknowledged real-world hurdles in the AI boom, noting the difficulties of finding the power to run AI infrastructure and getting the funding to pay for it. Yet, even with these challenges, ...

This popular hybrid sedan has meticulously moved ahead of its rivals in sales, including those from its own stable.

Aldeman: Texas' Alpha school combines AI with content mastery and innovative approaches to motivating students. It could be a ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

From data poisoning to prompt injection, threats against enterprise AI applications and foundations are beginning to move from theory to reality.

Traditional home care, often involving minimum service hours, presents distinct challenges for both providers and clients. A ...

Astronomers have discovered a rare starless galaxy-like cloud known as a RELHIC, providing the strongest evidence yet for a cornerstone prediction of the Lambda CDM model: that many small dark matter ...