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University of Edinburgh launches generative AI laboratory

E&T

The University of Edinburgh has unveiled a new multi-million pound initiative to create a generative AI laboratory (GAIL). The school is well placed to be an anchor for the GAIL cross-disciplinary research and development by forging key collaborations within the university and with external partners and policymakers.”

Robotics 109
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University of Birmingham and hyperTunnel Collaborate

MEM

hyperTunnel , a British technology company innovating underground construction, and the University of Birmingham have signed a Memorandum of Understanding (MoU) to work together to progress completely new methods of underground construction, enlargement, monitoring and repair. . This partnership is a significant milestone for NBIF.” .

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Recreating the ‘sixth sense’ and other human sensory abilities in machines

E&T

Sensory expert John Henshaw of the University of Tulsa, Oklahoma, thinks we may have nine senses, adding balance, temperature, pain and proprioception (awareness of the position and action of the parts of our body) to Aristotle’s original list of sight, hearing, smell, taste and touch. Proprioception is popularly known as our sixth sense.

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StocExpo 2023 launches with a fresh and future-focused rebrand

MEM

StocExpo works across an international audience, so recognises the significance of having a universally understood design and logo that immediately conveys both the emphasis on future fuels and a move towards modern business ethics. Like the previous branding, the new logo is a circle but split into two halves, slightly off-centre.

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iSH Builds Team to Help Create 700 Jobs After Winning £40M Backing

MEM

Hannah Pears, who is passionate about working with partner organisations to give young people the best possible life chances, has joined iSH (the Industrial Solutions Hub) as Education Liaison Officer. I also love that iSH is all about collaboration. It’s not about doing all of this ourselves.

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Flying cars and hyperloops?

E&T

This is not good news for EVs. Edwin Olson, professor of electrical engineering at the University of Michigan and co-founder of May Mobility, argues that the key metric for predicting the success of self-driving vehicles is “miles per disengagement”: that is, how often a human is forced to take control of a situation to avoid an accident.