Congratulations to Prof. Dafna Kariv, Head of the Entrepreneurship–Business Administration track at the Adelson School of Entrepreneurship at Reichman University, on being awarded the Inspiration Award in the ETF New Learning Award 2026 competition, presented by the European Training Foundation (ETF), an agency of the European Commission, to groundbreaking initiatives in teaching and learning.

A research team at The Hong Kong University of Science and Technology (HKUST), led by Prof. LI Ping, Dean of the School of Humanities and Social Science and Chair Professor of Psychology and Cognitive Science, has found that a brief one-on-one pre-lecture conversation (8–10 minutes) — whether with a human or an AI instructor — improves students’ neural synchrony and learning outcomes.

In the era of big data and artificial intelligence, a new approach has emerged for solving combinatorial optimization problems, which involve finding the most efficient solution among many possible options and can otherwise take thousands of years to compute. A KAIST research team has developed computational hardware that can be implemented entirely using existing silicon processes, enabling deployment on existing fabrication lines without additional facilities. This is expected to enable faster and more accurate decision-making across various industries, including logistics, finance, and semiconductor design.

Solar storms can quietly disrupt satellites, power grids, and communication systems across the globe. After a 2022 geomagnetic event knocked out dozens of Starlink satellites, the risks are no longer hypothetical. At EGU26, scientists unveil Swarm-AWARE, a new ESA project using satellite data and machine learning to distinguish space weather signals from natural hazards, paving the way for smarter forecasting and more resilient infrastructure.

The UK‑led OpenBind initiative has reached a major milestone with the release of its first publicly available dataset , a groundbreaking step toward accelerating the discovery of new medicines using artificial intelligence. The release makes high‑quality, standardised experimental data freely accessible to researchers worldwide, providing AI-ready data to address the most persistent barriers in AI‑driven therapeutic development.