A new data-driven technique for obstacle avoidance in autonomous vehicles is reported in the International Journal of Vehicle ...

Lin He's SmartScale AI challenges the assumption that only Fortune 500 companies deserve access to cutting-edge data ...

AI-assisted design methods now allow for automated optimization, drastically shortening development cycles while boosting ...

The pharmaceutical supply chain, vital for the continuous flow of life-saving drugs and treatments, has historically been vulnerable to external shocks and internal inefficiencies. The study reveals ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out irrelevant data.

AI models capable of running efficiently on edge devices need to be reduced in size and compute considerably, while maintaining similar reliable results. This process, often referred to as model ...

OLSP Team Builders integrates machine learning, predictive analytics, and neural networks into its affiliate marketing ...