Four breakthrough initiatives from Italy, Romania, Greece, and France secure support to advance wildfire prevention, energy efficiency, edge computing, and green building renovations.

IDEASHACK 2026 wrapped up in Warsaw, awarding a €12,000 prize pool to European teams turning academic AI research into market-ready solutions.

AI Launchpad Batch 4 is inviting Europe’s most promising AI startups to apply for its Fall 2026 cohort. Eligible teams can nominate themselves by submitting a pitch deck and a 1-minute video intro by September 1, 2026, at 23:59 CET.

Fifteen leading research institutions from seven countries join the ELIAS Virtual Centre of Excellence, deepening the network’s reach within ELLIS and reinforcing Europe’s push toward a connected, sustainability-oriented AI ecosystem.

New ELLIS PhD recruitment data highlights growing demand for trustworthy and sustainable AI research across Europe.

The recent Joint ELIAS Workshop brought together 40 researchers from ELLIS Unit Milan and Japan’s RIKEN AIP. The event featured a rich programme of talks spanning deep learning theory, reinforcement learning, and bandits, strengthening crucial international ties for the future of sustainable AI.

The ELIAS Alliance FROntier AI Award recognizes outstanding leaders of Focused Research Organizations (startups, nonprofits, open-source consortia) advancing frontier AI for real-world impact. The award highlights individuals bridging academic research and value creation, evaluated on impact, innovation, integrity, and leadership.

The European Leadership in Innovation with AI and Science (ELIAS) Alliance, in collaboration with ELLIS, announces a second call for ELIAS Nodes to drive European leadership in Frontier AI science, open-source innovation, and startup growth.

The TDW on Trustworthy AI event stressed balancing innovation with responsibility, focusing on frugality, fairness, and trust—reducing AI’s environmental impact, tackling bias, and improving transparency through cross-disciplinary collaboration for sustainable, fair, and verifiable systems.