The CT-based whole-lung radiomic nomogram accurately identifies AECOPD and offers a robust tool for clinical diagnosis and treatment planning.

Over the last decade, technology-assisted review (TAR) has become a preferred choice in the e-discovery toolkit. Now, as ...

While self-healing agentic test suites can help eliminate the manual intervention consuming engineering cycles, there are key strategies to make this approach successful.

Today, MLCommons announced new results for the MLPerf Training v5.1 benchmark suite, highlighting the rapid evolution and ...

AI’s future will be defined not by parameter counts, but by the integrity of the data that sustains it. Failures in ...

The hybrid model is emerging as the framework for trustworthy AI in test analytics. It retains traceability and supports ...

An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.

India’s IT services leaders are ramping up their semiconductor design and AI-driven engineering capabilities as global ...

The transformative powers of AI in manufacturing have not gone unnoticed—by hackers! The increased efficiency and ...

Community driven content discussing all aspects of software development from DevOps to design patterns. If you want to get certified as a Generative AI Leader by Google, you need to do more than just ...

Authored by embedded ML specialists with extensive experience in ESP32 voice recognition architecture, TinyML optimisation, ...

AWS's Arm Neoverse-based Graviton4 chips set a new bar, beating AMD and Intel in performance and price-performance Signal65 benchmarks ...