Globally, computing is a major contributor to greenhouse gas emissions.
Research predicts that it could drain more than 20% of the world’s total electricity usage by the time a child born today reaches their teens.
In contrast, the human brain is astonishingly power efficient – it takes just 20 watts to rapidly complete complex tasks that computers are currently not capable of.
Professor Roger Woods from Queen’s University, Belfast, leads eFutures, a UK-national network, which commissioned an independent report to tackle the global challenge of making computing sustainable. The report findings suggests that the answer to the problem is to re-design computers to work more like the energy efficient human brain.
The EU Green Deal recommends that data centres should be Carbon Neutral by 2030. However, the UK is considerably off target, with servers using up more than 12% of electricity generated in the UK.
Professor Woods, a Dean of Research in the Faculty of Engineering and Physical Science at Queen’s, co-wrote the report’s preface.
Professor Woods explained:
“With COP26 taking place later this month, the findings of this independent report are timely. We need to act now to reduce the carbon footprint of computing, including that generated by AI, and machine learning and its algorithms – it is a global necessity.
“More than 70 data centres are housed in Ireland alone, with each of these using up to 500,000 litres of water per day. In Summer, this led to a water shortage in the country.
“Moving to a lower-power way of computing, inspired by the human brain, is key to making computing greener and more sustainable. It could help to lower greenhouse emissions and avoid water shortages in future, but it is also paramount to ensuring that computing is capable of functioning properly in a modern, high-tech world.
“The demands placed on current computing technology and demands on AI in a wider range of application domains suggest a rethink of computer architecture, which seems almost no longer fit for purpose. The current architectures cannot support the needs of AI that are coming towards us.
“Brain-inspired computing offers an intriguing and radically different approach that is remarkably power efficient. Focusing on a centre of excellence in this area is timely.”
China, Europe and the USA are already heavily engaged in developing brain-inspired computing. The report recommends that if the UK is to gain and retain any competitive advantage in computing, a large-scale research programme on brain-inspired computing is necessary, with the construction of a National Centre of Excellence.
Science-based innovator Hermann Hauser has given his support to the report. He commented:
“AI and Machine Learning has been one of the great events in science over the last decade or two.
“However, this leaves us with a puzzling fact. Why is it that a human brain, consuming 20 watts, can outperform a supercomputer consuming many kilowatts? It is this puzzle that brain inspired hardware is trying to understand and make progress with. The UK has an excellent base to make contributions in this field, we have many excellent groups working on this problem.”
Dr Sunny Bains from University College London said:
“AI is the hottest field in technology today and neuromorphic computing has the potential to disrupt and revolutionise it. The UK must be in on that.”
Categories: Science
Thank you for the informative article.
Always both sides of the coin.
In our modern history, today, we evidence specific ecosystems undergoing severe changes.
The local crisis reports should be spotlighted. What is the best way to make it less speculative?
Environmental awareness not only shows growth in the media, but also takes its steps.
1. Space, Climate Change, and International Cooperation experts panel role in monitoring and tackling climate change.
These actions need strong, modern technology based companies to get involved, AI. One of the key features of success in space technology is the engagement of many countries and companies at the same time in order to have fast action due to the complexity of these projects.
2. On-earth adaptive learning and local information gathering and analysis for at least short-term reaction.
3.At the same time with the growth of computational power, digital engineering directly gets its benefits.
The supercomputers should be designed in a way to correspond to certain tasks.
This is the way – making processors time less idle, making supercomputers design for special applications (including the HW archirecture, task management), making cables shorter.
Our brain uses hippocampus for short term memory and sometimes several neurons for a lot of memories, which are triggered by smells, colours, etc. This is a kind of generating memory, not keeping it and addressing it all the time.
Now we still use brutal computational computer jobs, though they are getting more and more sophisticated.