Watch Editor-in-Chief Dr. Adnan Mehonic Introduces APL Machine Learning on YouTube.

There are two natural ways to connect machine learning, or more broadly, AI and applied physical science. The first involves applying ML techniques to physical systems to accelerate scientific discovery, leading to new insights in materials science, engineering, chemistry, biology, and applied physics. The second is to use domain knowledge from these disciplines to develop more efficient and more functional AI systems. I am thrilled to lead APL Machine Learning, which will capture both approaches to serve researchers working in all facets of AI and ML. 

New hub to harness the power of microbes to turn waste into valuable products
New hub to harness the power of microbes to turn waste into valuable products

New hub to harness the power of microbes to turn waste into valuable products

UCL Biochemical Engineering is part of a pioneering new hub that is set to transform UK manufacturing by converting industrial waste into valuable, sustainable chemicals and materials.

19 Jun 2025

Pathways to Sustainable Prosperity in Ukraine: IGP launches Building Bridges White Paper at Somerset
Pathways to Sustainable Prosperity in Ukraine: IGP launches Building Bridges White Paper at Somerset

Pathways to Sustainable Prosperity in Ukraine: IGP launches Building Bridges White Paper at Somerset

The Institute for Global Prosperity launched its Building Bridges for Ukraine White Paper on 9 June at Somerset House during the London Design Biennale. Eva Coulibaly-Willis reports on the event.

19 Jun 2025

UCL secures KTP grant to advance AI-driven innovation in infrastructure delivery
UCL secures KTP grant to advance AI-driven innovation in infrastructure delivery

UCL secures KTP grant to advance AI-driven innovation in infrastructure delivery

BSSC has launched a new Knowledge Transfer Partnership (KTP) with Strategic Rail Consultants (SRC) Limited, supported by Innovate UK and UK Research and Innovation (UKRI).

18 Jun 2025