Due to the increasing size of integrated circuits (ICs), their design and optimization phases (i.e., computer-aided design, CAD) grow increasingly complex. At design time, a large design space needs ...

Traditional AI models learn from structured data and are optimized for outcomes like classification, forecasting or ...

A template for starting Python machine-learning research projects with hardware acceleration featuring: Reproducible environments on major platforms with hardware acceleration with a great development ...

It’s a looming challenge for homeland security as we race to integrate artificial intelligence into command, control, and ...

machine-learning neural-network linear-regression machine-learning-algorithms artificial-intelligence naive-bayes-classifier artificial-neural-networks logistic-regression support-vector-machines ...

That’s why the industries racing to automate data management with AI are under growing pressure to put humans back in the loop. Human-in-the-loop (HITL) is no longer a niche safety net—it’s becoming a ...

The prediction and modeling of ionospheric total electron content (TEC) have consistently been a focal point for researchers, as it holds significant implications for satellite positioning, navigation ...

The unglamorous world of art market logistics is set to become much more efficient, says Convelio shipping founder Edouard ...