PhysicsX launches genai for aero engineering, Ai.rplane app for aerostructures.

PhysicsX releases the first Large Geometry Model, LGM-Aero, for aerospace engineering, trained and provisioned on Amazon Web Services (AWS) cloud compute using more than 25 million different shapes. It reduces the time to investigate aerospace concepts from months to hours. Trained and provisioned on AWS, LGM-Aero is a geometry and physics model pre-trained on a corpus of 25+ million meshes representing over 10 billion vertices, enabling dramatic reductions in aircraft concept development time. 'Ai.rplane' is a publicly accessible reference application built on LGM-Aero meant to showcase the power of the model for generating novel aircraft designs and predicting physics associated with aircraft performance, unveiled today at AWS re:Invent 2024 (2-6 Dec, Las Vegas)

Globally, the UK ranks third in terms of the number of AI companies and private capital investment in AI. It accounts for around half of all AI private capital investment in Europe. Every year, hundreds of new AI companies are established in the kingdom, which further contributes to the growth of the industry.The AI sector employs over 50,000 people and contributes more than £3.7B to the UK economy annually. Projections suggest that by 2035, the UK’s AI market’s contribution could rise to over £550B.The UK also hosted the world’s first AI Safety Summit last year. It brought together industry experts, academia, and civil society from the EU and 28 leading AI nations to agree on the Bletchley Declaration–a commitment to mitigate the risks associated with advanced AI.One subset of AI currently making waves is the generative AI. Using machine-learning algorithms to create new content, it does tasks such as content creation, artwork production, code debugging, and many more