Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...

According to the job description, the role sits within the AI & Robotics division under Engineering and R&D and will contribute to building hardware that powers Tesla’s neural-network-driven ...

Researchers at the University of California, Santa Cruz have trained lab-grown brain organoids to solve a goal-directed task, ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

Twenty-year-old software engineering student, Innocent Mugwadi, is one of Zambia's young innovators changing lives via AI.

Based on these challenges, a comprehensive reassessment of how AI should be deployed in electrocatalysis has become urgently needed. Addressing this need, a review published (DOI: 10.1016/j.esci.2025.

A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

Examine the MCA 2026 syllabus: a thorough overview of the essential subjects, broken down by semester, and highlighting ...

Overview The best AI courses on Coursera align with specific career goals and skill levels.Generative AI and Deep Learning skills are increasingly critical acro ...