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1. Artificial Intelligence to give new access to 500-year-old manuscripts

   Ground-breaking computational methods will be used by a team of researchers to advance the access of historical collections and study the history of Early Colonial Mexico.

2. LJMU receives £1.3million for new STFC data science training centre

   Liverpool John Moores University, in partnership with the University of Liverpool, are set to host a new £1.3million Centre for Doctoral Training providing comprehensive postgraduate training in data intensive science.

3. Machines that 'learn how to learn'

   Researchers have developed a new approach to machine learning that mimics humans ability to learn how to learn.

4. Industry trip wins Data Science students €25,000

   Young research students who won a major European data science competition have shared a prize of 50,000!

5. 'You'll Never Talk Alone' wins regional tech award

   'Social wifi' project hosts trio of LJMU computing teams

6. Taking Shaun the Sheep to China

   Aardman Animations is teaming up with creative technology experts in Liverpool to develop research for an immersive Shaun the Sheep experience in China.

7. Thermal ‘fingerprinting’ to help conserve rare animals in Madagascar

   SCIENTIFIC methods developed at Liverpool John Moores University and Chester Zoo to count animals from the air are being adopted in the wilds of Madagascar.

8. Drones experts advise Parliamentary Committee

   EXPERTS from Liverpool John Moores University are guiding UK government policy on the use of drones.

9. Researchers launch 'world's most advanced nutritional' app

   PhD student David Dunne has worked with Harlequins, QPR and the Ryder Cup team to maximise the physical potential of athletes. Together with ex-PhD Sam Impey, David has raised £450k to launch training companion app Hexis, claimed to be the world's most intelligent nutrition system. He spoke to us to explain more.

10. Smart meter data could help identify dementia

    Energy use patterns from smart meter data could be used to help identify whether people are suffering from conditions such as dementia and depression, computer scientists have shown.