AI News, Artificial Intelligence

Artificial intelligence (Robotics)

The programme's engagement approach will aim to create a tangible pipeline that can take strong research and innovation to tangible deployable solutions.

We already have several UK wide national robotics hardware and field testing facilities in Edinburgh, Oxford, Bristol, London, Sheffield, and others.  In conjunction with the living labs at the Bayes’ Centre in Edinburgh (the site of the Turing's robotics hub), we will work in domains ranging from oil and gas, mining, nuclear decommissioning, construction, smart mobility, high value manufacturing (e.g.

Finally, engagement with the government and funding agencies (including UKRI, BEIS and learned societies like RAEng, Royal Society, and Royal Society of Edinburgh) will help shape future research funding as well as policy making for enabling, de-risking and deploying RAS technology with the help of innovations in AI and data science.

Two Men from King’s and their Quest for Artificial Intelligence

While the quest for Artificial Intelligence (AI) began over sixty years ago and attracted many of the brightest researchers, it almost ended three decades later.

His passion, however, was far from well received with his headmaster commenting, “if he is to be solely a scientific specialist, he is wasting his time at a public school.” Nonetheless, his brilliance prevailed and he won a place to study mathematics at King’s College, Cambridge.

His academic star rose quickly and two years before the outbreak of the second world war, he published a seminal paper in which he defined an abstract computational machine which executed logical instructions in sequence.

The Bombe, as he called it, was an electro-mechanical device designed to break German military codes and played a critical role in the outcome of the conflict.

After the end of the second world war, he took up the quest for AI, developing the first program for playing chess and creating a unique test for assessing the intelligence of computers.

As game designers in the 1990’s tried to build realistic virtual worlds, they found that central processing units (CPUs) could not keep up: either the images were of too low quality or the frame rates were too slow.

It might have been easy to dismiss GPUs as child’s play, but gaming was serious business and enormous investments drove rapid innovation.

While he continued to develop ground breaking work for over four decades, the significance of his work remained largely unrecognised.

That is until at the age of 65, when two of his students linked his research in artificial neural networks and vision with the power of a GPU for the ImageNet competition in 2012.

Ironically they took a computing component optimised for producing images from symbolic representations, and reversed the direction to produce symbolic representations from images.

Focussing on the structure of the brain as the source of human intelligence, rather than on language and logic as an output of human intelligence, he and his students detonated a veritable “neuron bomb” whose shockwave continues to rip apart the world of classical computing and will most certainly change the course of history.

Artificial intelligence - a new weapon in the fight against climate change?

ECCI’s Head of Innovation Charlotte Waugh recently embarked on a year-long secondment with the Bayes Centre, the University of Edinburgh's world-leading data science and artificial intelligence centre.

Having moved roles recently from climate change innovation to artificial intelligence (AI) innovation support, I asked myself the question: where are the opportunities for artificial intelligence to help the fight against climate change?

AI also makes it easier and more efficient for energy market analysts and participants to understand highly complex data - from the behaviour of electrical power grids to climate change impact.

AI and blockchain also make it easier to design good policy incentives by giving us a deeper understanding of consumer behavior and decision-making processes.

In terms of climate change adaptation - adapting to climate change and mitigating its impacts - implementing quick responses to climate change-related emergencies requires intelligent systems and the clever use of data.

It's great to see several innovative start-ups supported by ECCI who are combining the two fast-growing areas of data and low carbon innovation to make a tangible difference - and make a living!

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