Women in STEM: Dr Anita Faul

Dr Anita Faul is a Teaching Associate at the Cavendish Laboratory and a Fellow of Selwyn College, where she specialises in algorithms. Here, she tells us about what it's like to teach at Cambridge and whether we can trust the answers that computers give us. 

Cambridge University News | Aug. 8, 2019 | cambridge
~4 mins   

Tags: women-in-stem big-data artificial-intelligence machine-learning

Machine learning to help develop self-healing robots that ‘feel pain’

Researchers from the University of Cambridge will use self-healing materials and machine learning to develop soft robotics as part of a new collaborative project.

Cambridge University News | Aug. 7, 2019 | cambridge
~2 mins   

Tags: robot automation advanced-materials machine-learning artificial-intelligence engineering

Machine learning predicts mechanical properties of porous materials

Machine learning can be used to predict the properties of a group of materials which, according to some, could be as important to the 21st century as plastics were to the 20th.

Cambridge University News | May 15, 2019 | cambridge
~4 mins   

Tags: advanced-materials spotlight-on-advanced-materials machine-learning artificial-intelligence-ai spotlight-on-artificial-intelligence

AI: Life in the age of intelligent machines

In a new film, leading Cambridge University researchers discuss the far-reaching advances offered by artificial intelligence – and consider the consequences of developing systems that think far beyond human abilities.

Cambridge University News | Feb. 22, 2019 | cambridge
~3 mins   

Tags: artificial-intelligence-ai spotlight-on-artificial-intelligence machine-learning spotlight-on-work labour robotics engineering

Using AI to avert ‘environmental catastrophe’

A new Centre at the University of Cambridge will develop AI techniques to help address some of the biggest threats facing the planet. 

Cambridge University News | Feb. 21, 2019 | cambridge
~4 mins   

Tags: spotlight-on-artificial-intelligence artificial-intelligence-ai machine-learning environment spotlight-on-sustainability-and-the-environment

Machine learning algorithm helps in the search for new drugs

Researchers have designed a machine learning algorithm for drug discovery which has been shown to be twice as efficient as the industry standard, which could accelerate the process of developing new treatments for disease. 

Cambridge University News | Feb. 11, 2019 | cambridge
~4 mins   

Tags: pharmaceutical drug-discovery health artificial-intelligence-ai machine-learning algorithm

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