By Ara Darzi, Imperial College London

It is not often that one witnesses a transformational advance in medicine. But the application of artificial intelligence (AI) to improve the early detection of disease is exactly that.

Michael Carbin, Assistant Professor of Electrical Engineering and Computer Science at MIT, joins Michael Littman and Dave Ackley to discuss neural net lottery tickets, computing with uncertainty and more.

We have collected some of the most interesting tweets about AI from the past couple of months.

Climate change was one of the many topics covered at NeurIPS 2019 (the Thirty-third Annual Conference on Neural Information Processing Systems), with a day-long workshop dedicated to the theme. The session was organised by Climate Change AI, a group of volunteers from academia and industry that seeks to facilitate work in climate change and machine learning.

AI Policy Matters is a regular column in AI Matters featuring summaries and commentary based on postings that appear twice a month in the AI Matters blog.

Michael Littman and Dave Ackley revisit the meaning of life (the subject of the second Computing Up conversation) in the context of politics and society and human destiny.

Every month, we gather some of the most interesting tweets capturing latest results, debates, and events.

Inspired by a WIRED profile of Karl Friston, Michael Littman and Dave Ackley talk about theories of everything, and theories thereof.

By Jessica Montgomery, Senior Policy Adviser

As concerns about the impact of climate change (PDF) grow, so too is the debate about the environmental impact of artificial intelligence (AI) technologies.

By Jessica Montgomery, Senior Policy Adviser

Advances in artificial intelligence (AI) technologies over the last five years have generated great excitement, especially in the areas of health and care.