Articles about 'Neil Lawrence'

Universities can bridge the gap between those who develop AI systems and those who will use and be affected by them. We must step up to deliver this role, say Neil Lawrence and Jess Montgomery.

There’s no shortage of buzz around artificial intelligence (AI). From self-driving cars to the promise of revolutionising healthcare, AI is being hailed as the technology that will change the world around us. But what does this really mean for our everyday lives?

The UK government’s proposed ‘rights reservation’ model for AI data mining tells British artists, musicians, and writers that “tech industry profitability is more valuable than their creations” say leading academics.

Aspirations for the ability of AI to transform society couldn’t be higher. Realising this potential will require bridging the gap between AI development and public value. Cambridge's AI-deas initiative aims to do just that.

Two University alumni, Sir Demis Hassabis and Dr John Jumper, have been jointly awarded this year’s Nobel Prize in Chemistry for developing an AI model to solve a 50-year-old problem: predicting the complex structures of proteins.

The winners of a new prize supporting ambitious ideas for how artificial intelligence can address critical societal issues are announced today, with projects spanning fertility, climate change, language and communication challenges, mental health, and how local councils deploy AI.

Peter Kyle MP, the Shadow Secretary of State for Science, Innovation and Technology, met academics from the University of Cambridge and leaders from the Cambridge community for a day focused on AI policy and innovation.

The University of Cambridge today launches a new research centre dedicated to exploring the possibilities of a world shared by both humans and machines with artificial intelligence (AI).

Artificial intelligence offers great promise, but we must ensure it does not deepen inequalities. Professor Neil Lawrence and Jess Montgomery set out their vision for AI@Cam, a new flagship mission at the University of Cambridge.

A new initiative at Cambridge will equip young researchers outside computer science with the skills they need to use machine learning and artificial intelligence techniques to power their research.