EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses machine learning to gain meaningful insights from complex biological data.

Researchers from Sun Yat-sen University’s Shenzhen Campus, led by WenYuan Yang and Gege Jianga, have developed a decentralized federated learning framework, DFUN-KDF, to enhance UAV network efficiency ...

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

Nonconvexity is a usually overlooked factor in economic dispatch (ED). Enhancing the nonconvexity of the objective function leads traditional convex optimization algorithms easily to fall into the ...

AI’s performance advantages are tightly linked to methodological rigor and technological integration. Data preprocessing ...

The AI in aviation market is expected to reach $4.86 billion by 2030, from $1.75 billion in 2025, with a CAGR of 22.6 percent ...

The infrastructure segment is estimated to hold the highest share of AI in the aviation market in 2025, primarily due to the ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

Objective: Currently, there is no individualized prediction model for joint function recovery after ankle fracture surgery. This study aims to develop a prediction model for poor recovery following ...

Machine learning (ML) with approximation and numerical simulations plays an important role in aircraft design. ML techniques, such as deep learning and reinforcement learning, are increasingly being ...