̽��ֱ�� of Cambridge - ̽��ֱ�� of California Berkeley

Tiny copper ‘flowers’ bloom on artificial leaves for clean fuel production

sc604 — Mon, 03 Feb 2025 09:28:45 +0000

̽��ֱ��researchers, from the ̽��ֱ�� of Cambridge and the ̽��ֱ�� of California, Berkeley, developed a practical way to make hydrocarbons – molecules made of carbon and hydrogen – powered solely by the sun.

̽��ֱ��device they developed combines a light absorbing ‘leaf’ made from a high-efficiency solar cell material called perovskite, with a copper nanoflower catalyst, to convert carbon dioxide into useful molecules. Unlike most metal catalysts, which can only convert CO₂ into single-carbon molecules, the copper flowers enable the formation of more complex hydrocarbons with two carbon atoms, such as ethane and ethylene — key building blocks for liquid fuels, chemicals and plastics.

Almost all hydrocarbons currently stem from fossil fuels, but the method developed by the Cambridge-Berkeley team results in clean chemicals and fuels made from CO2, water and glycerol – a common organic compound – without any additional carbon emissions. ̽��ֱ��results are reported in the journal Nature Catalysis.

̽��ֱ��study builds on the team’s earlier work on artificial leaves, which take their inspiration from photosynthesis: the process by which plants convert sunlight into food. “We wanted to go beyond basic carbon dioxide reduction and produce more complex hydrocarbons, but that requires significantly more energy,” said Dr Virgil Andrei from Cambridge’s Yusuf Hamied Department of Chemistry, the study’s lead author.

Andrei, a Research Fellow of St John’s College, Cambridge, carried out the work as part of the Winton Cambridge-Kavli ENSI Exchange programme in the lab of Professor Peidong Yang at ̽��ֱ�� of California, Berkeley.

By coupling a perovskite light absorber with the copper nanoflower catalyst, the team was able to produce more complex hydrocarbons. To further improve efficiency and overcome the energy limits of splitting water, the team added silicon nanowire electrodes that can oxidise glycerol instead. This new platform produces hydrocarbons much more effectively — 200 times better than earlier systems for splitting water and carbon dioxide.

̽��ֱ��reaction not only boosts CO₂ reduction performance, but also produces high-value chemicals such as glycerate, lactate, and formate, which have applications in pharmaceuticals, cosmetics, and chemical synthesis.

“Glycerol is typically considered waste, but here it plays a crucial role in improving the reaction rate,” said Andrei. “This demonstrates we can apply our platform to a wide range of chemical processes beyond just waste conversion. By carefully designing the catalyst’s surface area, we can influence what products we generate, making the process more selective.”

While current CO₂-to-hydrocarbon selectivity remains around 10%, the researchers are optimistic about improving catalyst design to increase efficiency. ̽��ֱ��team envisions applying their platform to even more complex organic reactions, opening doors for innovation in sustainable chemical production. With continued improvements, this research could accelerate the transition to a circular, carbon-neutral economy.

“This project is an excellent example of how global research partnerships can lead to impactful scientific advancements,” said Andrei. “By combining expertise from Cambridge and Berkeley, we’ve developed a system that may reshape the way we produce fuels and valuable chemicals sustainably.”

̽��ֱ��research was supported in part by the Winton Programme for the Physics of Sustainability, St John’s College, the US Department of Energy, the European Research Council, and UK Research and Innovation (UKRI).

Reference:
Virgil Andrei et al. ‘Perovskite-driven solar C2 hydrocarbon synthesis from CO2.’ Nature Catalysis (2025). DOI: 10.1038/s41929-025-01292-y

Tiny copper ‘nano-flowers’ have been attached to an artificial leaf to produce clean fuels and chemicals that are the backbone of modern energy and manufacturing.

Virgil Andrei

Solar fuel generator

̽��ֱ��text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright © ̽��ֱ�� of Cambridge and licensors/contributors as identified. All rights reserved. We make our image and video content available in a number of ways – on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

Yes

Ancient DNA reveals reason for high MS and Alzheimer's rates in Europe

jg533 — Wed, 10 Jan 2024 16:06:31 +0000

Researchers have created the world’s largest ancient human gene bank, and used it to map the historical spread of genes – and diseases – over time as populations migrated.

Researchers unravel the complex reaction pathways in zero-carbon fuel synthesis

Anonymous — Fri, 20 Jan 2023 11:54:46 +0000

When the eCO2EP: A chemical energy storage technology project started in 2018, the objective was to develop ways of converting carbon dioxide emitted as part of industrial processes into useful compounds, a process known as electrochemical CO2 reduction (eCO2R)

While eCO2R is not a new technique, the challenge has always been the inability to control the end products. Now, researchers from the ̽��ֱ�� of Cambridge have outlined how carbon isotopes can be used to trace intermediates during the process, which will allow scientists to create more selective catalysts, control product selectivity, and promote eCO2R as a more promising production method for chemicals and fuels in the low-carbon economy. Their results are reported in the journal Nature Catalysis.

̽��ֱ��project was led by Professor Alexei Lapkin, from Cambridge’s Centre for Advanced Research and Education in Singapore (CARES Ltd) and Professor Joel Ager, from the Berkeley Education Alliance for Research in Singapore (BEARS Ltd). Both organisations are part of the Campus for Research Excellence and Technological Enterprise (CREATE) funded by Singapore’s National Research Foundation.

In the 1950s, Berkeley’s Melvin Calvin identified the elementary steps used in nature to fix carbon dioxide in photosynthesis. Calvin and his colleagues used a radioactive form of carbon as a tracer to learn the order in which intermediates appeared in the cycle now named after him, work which won him the Nobel Prize in Chemistry in 1961.

̽��ֱ��eCO2EP team found that with a sensitive enough mass spectrometer, they could use the small differences in reaction rates associated with the two stable isotopes of carbon, carbon-12 and carbon-13, to perform similar types of analyses.

First, a mixture of products such as methanol and ethylene were generated by a prototype reactor that was built to operate under industrial conditions. To detect both major and minor products in real time as the operating conditions were changed, high-sensitivity mass spectrometry was used.

Since high-sensitivity mass spectrometry is more commonly used in biological and atmospheric sciences, co-authors Dr Mikhail Kovalev and Dr Hangjuan Ren adapted the technique to their prototype system. They developed a method to directly sample the reaction environment with high sensitivity and time response.

̽��ֱ��researchers used the difference in reaction rates of carbon-12 and carbon-13 to group a product such as ethanol and its major intermediates sharing the same pathway, to deduce key relationships in the chemical network.

̽��ֱ��researchers found that there are substantial differences in the mechanisms at work in smaller reactors versus larger reactors, a finding which will enable them to better control product selectivity.

̽��ֱ��team also discovered that the reaction used less of the heavier carbon-13 isotope than carbon-12. This difference in usage was found to be five times greater than that observed in natural photosynthesis, where carbon-13 is fixed at a slower rate than carbon-12. This is inspiring efforts in Professor Ager’s lab to better understand fundamental physics and the chemical origins of this large and unanticipated effect. An international patent application has also been filed.

“ ̽��ֱ��set-up of the project within CREATE Campus allowed Joel and I to create an environment of creativity and ambition, to enable the researchers to excel and to target the really complex and interesting problems,” said Lapkin. “ ̽��ֱ��monitoring of multiple species in such a complex reaction is, by itself, a significant breakthrough by the team, but the ability to further dig into the mechanism by exploring the isotope enrichment effect has made all the difference.”

“This work required an interdisciplinary approach drawing on expertise from both Cambridge and Berkeley,” said Ager. “CREATE campus provided an ideal environment to realise this collaborative research with a skilled and motivated team.”

̽��ֱ��eCO2EP project was funded by the National Research Foundation, Prime Minister’s Office, Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) programme.

Reference:
Hangjuan Ren et al. ‘Operando proton-transfer-reaction time-of-flight mass spectrometry of carbon dioxide reduction electrocatalysis.’ Nature Catalysis (2022). DOI: 10.1038/s41929-022-00891-3.

Adapted from a story posted on the CARES website.

Researchers have used isotopes of carbon to trace how carbon dioxide emissions could be converted into low-carbon fuels and chemicals. ̽��ֱ��result could help the chemical industry, which is the third largest subsector in terms of direct CO2 emissions, recycle its own waste using current manufacturing processes.

yorkfoto via Getty Images

Chemical plant drone view

̽��ֱ��text in this work is licensed under a Creative Commons Attribution 4.0 International License. Images, including our videos, are Copyright © ̽��ֱ�� of Cambridge and licensors/contributors as identified. All rights reserved. We make our image and video content available in a number of ways – as here, on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

Yes

Competition with China a ‘driving force’ for clean energy funding in the 21st century

fpjl2 — Mon, 12 Sep 2022 15:46:03 +0000

̽��ֱ��first major study of driving forces behind government funding of energy RD&D – and the public institutions generating it – over the 21st century shows that competition created by China’s rise as a technology superpower led to significant increases in clean energy investment.

̽��ֱ��new study, led by ̽��ֱ�� of Cambridge and ̽��ֱ�� of California, Berkeley, and published in the journal Nature Energy, also finds that cooperation commitments at a UN climate conference were not just empty words, and did boost 'cleantech' innovation, albeit a long way off levels required to hit net zero or prevent two-degree warming.

̽��ֱ��research covers eight major economies – Germany, France, US, UK, Korea, India, China and Japan – in the years between 2000 and 2018, and finds that total energy funding among seven of these (excluding India) grew from $10.9 billion to $20.1 billion, an 84% increase.

̽��ֱ��share of RD&D (research, development and demonstration) funding for clean technologies – from solar and wind to efficient energy storage – across these seven economies went from 46% to 63% during the first 18 years of this century.

However, it came at the expense of nuclear energy investment, which fell from 42% to 24%, while fossil fuel funding remained 'sticky' and relatively unchanged – propped up by huge increases in fossil fuel RD&D spending from China (over $1.5 billion from 2001 to 2018).

“Levels of investment in clean energy have yet to come close to achieving meaningful global decarbonisation,” said Prof Laura Diaz Anadon from the ̽��ֱ�� of Cambridge, a corresponding author on the study.

“Annual government funding for energy RD&D needed to have at least doubled between 2010 and 2020 to better enable future emissions cuts in line with the two-degree Celsius goal,” Anadon said.

Prof Jonas Meckling, study first author from the ̽��ֱ�� of California, Berkeley, said: “Our research reveals the drivers of clean energy investment that had most impact in the 21st century. A mix of cooperation and competition between nations, and a strategic shift towards commercialisation, led to advances that policymakers must build upon.”

Many consider high oil prices a key incentive for government spending on energy innovation as alternatives are sought, such as in the 1970s. Yet the study shows clean energy RD&D continued to grow despite declining oil costs after 2008, leading researchers to assess other possible 'drivers' of cleantech investment this century.

̽��ֱ��research team conducted their analysis by creating two datasets. One tracked RD&D funding from China, India and the member countries of the International Energy Agency.

̽��ֱ��other inventoried 57 public institutions working on energy innovation across eight major economies. These include agencies that fund energy tech such as ARPA-E in the US, the Carbon Trust in the UK, and India’s National Institute of Solar Energy.

̽��ֱ��study found intensifying competition in clean energy markets created a 'cumulative' investment boost across major economies – primarily driven by China, which grew cleantech RD&D spending at double-digit rates every year (bar one) between 2003 and 2014.

As original solar and wind industries in the US and Europe fought to keep up, an analysis of government reports conducted for the study shows RD&D pushes in major economies were increasingly justified by referencing competitive threats from China. This included US investments post-2008 crash, Germany’s push into electric vehicles, and the EU Green Deal.

̽��ֱ��study pinpoints 2014 as the year China became a major player in cleantech across a range of areas, accelerating a gradual shift towards clean energy commercialisation and economic strategy that had already begun in other countries.

For example, after 2014, public RD&D institutions across the eight economies with a stated goal of “competitiveness and economic growth” increased by 14 percentage points.

In addition, some 39% of RD&D institutions ran as government-business partnerships before 2014, but increased focus on commercialisation with the rise of China saw this jump to 63% of institutions established or repurposed from 2015 onwards.

“Competition with China helped grow some clean technologies, but stymied others,” said Anadon. “Research and development for onshore wind increased in major economics when Chinese firms entered the market. However, cleantech that was easily shippable, such as solar PV, suffered from intense Chinese investment that eliminated international competitors.”

“Competition is only half the battle, we also need global cooperation,” she said.

̽��ֱ��study shows the “Mission Innovation” – a global initiative to boost cleantech development announced at COP21 in 2015 by President Obama, and backed by 20 nations including China and India – failed to double clean energy RD&D spending by 2020, a stated aim.

However, it did lead to significant increases in RD&D for new clean and nuclear energy in the eight major economies for at least three years following launch, with government documents explicitly referencing Mission Innovation as the rationale for expanding clean energy funding.

̽��ֱ��team also investigated how this century’s crises influenced RD&D. Stimulus packages following the 2008 financial crash and COVID-19 pandemic did little for new clean energy efforts, instead typically boosting RD&D funding for “incumbent” energy: fossil (including carbon capture and storage) and nuclear.

“Unlike the financial crash and pandemic, Russia’s war on Ukraine has caused an international crisis with energy at its core,” Anadon added. “This could lead to a global shift in government policies that harness both competition and cooperation to boost clean energy investment, such as a trade club for climate goods.”

Analysis of energy RD&D investment in major economies also found that commitments at COP21 yielded some positives. Ultimately, however, trends over this century are not consistent with the ‘cleantech’ funding levels needed to meet climate goals, say researchers.

Competition is only half the battle, we also need global cooperation

Laura Diaz Anadon

Darmau Lee

Solar panels in Dunhuang, Gansu, China

Yes

‘Back to basics’ approach helps unravel new phase of matter

sc604 — Sun, 26 Sep 2021 23:48:57 +0000

Researchers from the ̽��ֱ�� of Cambridge used computer modelling to study potential new phases of matter known as prethermal discrete time crystals (DTCs). It was thought that the properties of prethermal DTCs were reliant on quantum physics: the strange laws ruling particles at the subatomic scale. However, the researchers found that a simpler approach, based on classical physics, can be used to understand these mysterious phenomena.

Understanding these new phases of matter is a step forward towards the control of complex many-body systems, a long-standing goal with various potential applications, such as simulations of complex quantum networks. ̽��ֱ��results are reported in two joint papers in Physical Review Letters and Physical Review B.

When we discover something new, whether it’s a planet, an animal, or a disease, we can learn more about it by looking at it more and more closely. Simpler theories are tried first, and if they don’t work, more complicated theories or methods are attempted.

“This was what we thought was the case with prethermal DTCs,” said Andrea Pizzi, a PhD candidate in Cambridge’s Cavendish Laboratory, first author on both papers. “We thought they were fundamentally quantum phenomena, but it turns out a simpler classical approach let us learn more about them.”

DTCs are highly complex physical systems, and there is still much to learn about their unusual properties. Like how a standard space crystal breaks space-translational symmetry because its structure isn’t the same everywhere in space, DTCs break a distinct time-translational symmetry because, when ‘shaken’ periodically, their structure changes at every ‘push’.

“You can think of it like a parent pushing a child on a swing on a playground,” said Pizzi. “Normally, the parent pushes the child, the child will swing back, and the parent then pushes them again. In physics, this is a rather simple system. But if multiple swings were on that same playground, and if children on them were holding hands with one another, then the system would become much more complex, and far more interesting and less obvious behaviours could emerge. A prethermal DTC is one such behaviour, in which the atoms, acting sort of like swings, only ‘come back’ every second or third push, for example.”

First predicted in 2012, DTCs have opened a new field of research, and have been studied in various types, including in experiments. Among these, prethermal DTCs are relatively simple-to-realise systems that don’t heat quickly as would normally be expected, but instead exhibit time-crystalline behaviour for a very long time: the quicker they are shaken, the longer they survive. However, it was thought that they rely on quantum phenomena.

“Developing quantum theories is complicated, and even when you manage it, your simulation capabilities are usually very limited, because the required computational power is incredibly large,” said Pizzi.

Now, Pizzi and his co-authors have found that for prethermal DTCs they can avoid using overly complicated quantum approaches and use much more affordable classical ones instead. This way, the researchers can simulate these phenomena in a much more comprehensive way. For instance, they can now simulate many more elementary constituents, getting access to the scenarios that are the most relevant to experiments, such as in two and three dimensions.

Using a computer simulation, the researchers studied many interacting spins – like the children on the swings – under the action of a periodic magnetic field – like the parent pushing the swing - using classical Hamiltonian dynamics. ̽��ֱ��resulting dynamics showed in a neat and clear way the properties of prethermal DTCs: for a long time, the magnetisation of the system oscillates with a period larger than that of the drive.

“It’s surprising how clean this method is,” said Pizzi. “Because it allows us to look at larger systems, it makes very clear what’s going on. Unlike when we’re using quantum methods, we don’t have to fight with this system to study it. We hope this research will establish classical Hamiltonian dynamics as a suitable approach to large-scale simulations of complex many-body systems and open new avenues in the study of nonequilibrium phenomena, of which prethermal DTCs are just one example.”

Pizzi’s co-authors on the two papers, who were both recently based at Cambridge, are Dr Andreas Nunnenkamp, now at the ̽��ֱ�� of Vienna in Austria, and Dr Johannes Knolle, now at the Technical ̽��ֱ�� of Munich in Germany.

Meanwhile, at UC Berkeley in the USA, Norman Yao’s group has also been using classical methods to study prethermal DTCs. Remarkably, the Berkeley and Cambridge teams have simultaneously addressed the same question. Yao’s group will be publishing their results shortly.

Reference:
Andrea Pizzi, Andreas Nunnenkamp, Johannes Knolle. ‘Classical Prethermal Phases of Matter.’ Physical Review Letters (2021). DOI: 10.1103/PhysRevLett.127.140602
Andrea Pizzi, Andreas Nunnenkamp, Johannes Knolle. ‘Classical approaches to prethermal discrete time crystals in one, two, and three dimensions.’ Physical Review B (2021). DOI: 10.1103/PhysRevB.104.094308

A new phase of matter, thought to be understandable only using quantum physics, can be studied with far simpler classical methods.

We thought time crystals were fundamentally quantum phenomena, but it turns out a simpler classical approach let us learn more about them

Andrea Pizzi

Michael Dziedzic via Unsplash

Abstract, distorted view of computer motherboard

Yes

Global Alliance approves five joint research projects

ag236 — Mon, 13 Nov 2017 13:07:33 +0000

̽��ֱ��Global Alliance was formed in 2016 as a tripartite agreement between ̽��ֱ�� of California, Berkeley, the ̽��ֱ�� of Cambridge, and National ̽��ֱ�� of Singapore in order to develop innovative research across the three universities to address research questions that could not be answered by one institution alone. There are three themes within the Global Alliance: Precision Medicine, Cities, and Smart Systems.

Following a second funding call in May 2017, the Management Selection Committee has approved funding of the following five collaborative research projects:

"Opportunities for ecological adaptation to flood hazards in major global cities: London, Singapore and San Francisco" (Principal Investigator: Professor Thomas Spencer)
"Machine learning tools for personalised diagnosis in dementia" (Principal Investigator: Professor Zoe Kourtzi)
"Healthy living in cities: my Personal Exposure Quality (MyPEQ)" (Principal investigator: Professor Rajasekhar Balasubramanian)
"Automating Approaches for Clinical Genome Interpretation" (Principal Investigator: Professor Steven Brenner)
"Skin Deformation Assay Platforms for Pathogen- and Patient-Specific Diagnostics and Drug Development" (Principal Investigator: Dr Katherine Brown)

̽��ֱ��three universities are delighted to approve these collaborative projects which will build upon the combined strengths of the universities, as well as their distinctive regional insights, to develop unique solutions to global problems.

Professor Paul Alivisatos, Executive Vice Chancellor and Provost, ̽��ֱ�� of California, Berkeley

Professor Chris Abell, Pro-Vice-Chancellor for Research, ̽��ֱ�� of Cambridge

Professor Ho Teck Hua, Senior Deputy President and Provost Designate, National ̽��ֱ�� of Singapore

UC Berkeley, the ̽��ֱ�� of Cambridge and the National ̽��ֱ�� of Singapore to support collaborative projects in themes including Precision Medicine, Cities and Smart Systems.

̽��ֱ��text in this work is licensed under a Creative Commons Attribution 4.0 International License. For image use please see separate credits above.

Yes

Science fiction vs science fact: World’s leading AI experts come to Cambridge

sjr81 — Mon, 10 Jul 2017 10:22:27 +0000

̽��ֱ��two-day conference (July 13-14) at Jesus College is the first major event held by the Leverhulme Centre for the Future of Intelligence (CFI) since its globally-publicised launch by Stephen Hawking and other AI luminaries in October 2016.

Bringing together policy makers and philosophers, as well as leading figures from science and technology, speakers include Astronomer Royal Martin Rees, Matt Hancock (Minister for Digital and Culture), Baroness Onora O'Neill and Francesca Rossi (IBM).

Dr Stephen Cave, Executive Director of CFI, said: “Rarely has a technology arrived with such a rich history of myth, storytelling and hype as AI. ̽��ֱ��first day of our conference will ask how films, literature and the arts generally have shaped our expectations, fears and even the technology itself.

“Meanwhile, the second day will ask how and when we can trust the intelligent machines on which we increasingly depend – and whether those machines are changing how we trust each other."

Programme highlights of the conference include:

Sci-Fi Dreams: How visions of the future are shaping development of intelligent technology
Truth Through Fiction: How the arts and media help us explore the challenges and opportunities of AI
Metal people: How we perceive intelligent robots – and why
Trust, Security and the Law: Assuring safety in the age of artificial intelligence
Trust and Understanding: Uncertainty, complexity and the ‘black box’

Professor Huw Price, Academic Director of the Centre, and Bertrand Russell Professor of Philosophy at Cambridge, said: “During two packed days in Cambridge we’ll be bringing together some of the world’s most important voices in the study and development of the technologies on which all our futures will depend.

“Intelligent machines offer huge benefits in many fields, but we will only realise these benefits if we know we can trust them – and maintain trust in each other and our institutions as AI transforms the world around us.”

Other conference speakers include Berkeley AI pioneer Professor Stuart Russell, academic and broadcaster Dr Sarah Dillon, and Sir David Spiegelhalter, Cambridge’s Winton Professor of the Public Understanding of Risk. An AI-themed art exhibition is also being held to coincide with the Jesus College event.

CFI brings together four of the world’s foremost universities (Cambridge, Berkeley, Imperial College and Oxford) to explore the implications of AI for human civilisation. Researchers will work with policy-makers and industry to investigate topics such as the regulation of autonomous weaponry, and the implications of AI for democracy.

Many researchers take seriously the possibility that intelligence equal to our own will be created in computers within this century. Freed of biological constraints, such as limited memory and slow biochemical processing speeds, machines may eventually become more broadly intelligent than we are – with profound implications for us all.

Launching the £10m centre last year, Professor Hawking said: “Success in creating AI could be the biggest event in the history of civilisation but it could also be the last – unless we learn how to avoid the risks. Alongside the benefits, AI will also bring dangers like powerful autonomous weapons or new ways for the few to oppress the many.

“We cannot predict what might be achieved when our own minds are amplified by AI. ̽��ֱ��rise of powerful AI will either be the best or the worst thing to happen to humanity. We do not yet know which.”

Professor Maggie Boden, External Advisor to the Centre, whose pioneering work on AI has been translated into 20 languages, said: “ ̽��ֱ��practical solutions of AI can help us to tackle important social problems and advance the science of mind and life in fundamental ways. But it has limitations which could present grave dangers. CFI aims to guide the development of AI in human-friendly ways.”

Dr Cave added: “We've chosen the topic of myths and trust for our first annual conference because they cut across so many of the challenges and opportunities raised by AI. As well as world-leading experts, we hope to bring together a wide range of perspectives to discuss these topics, including from industry, policy and the arts. ̽��ֱ��challenge of transitioning to a world shared with intelligent machines is one that we all face together.”

̽��ֱ��first day of the conference is in partnership with the Royal Society, while the second is in partnership with Jesus College's Intellectual Forum. ̽��ֱ��conference is being generously sponsored by Accenture and PwC.

Further details and ticketing information can be found here.

Some of the world’s leading thinkers and practitioners in the field of Artificial Intelligence (AI) will gather in Cambridge this week to look at everything from the influence of science fiction on our dreams of the future, to ‘trust in the age of intelligent machines’.

Rarely has a technology arrived with such a rich history of myth, storytelling and hype as AI.

Dr Stephen Cave

̽��ֱ��text in this work is licensed under a Creative Commons Attribution 4.0 International License. For image use please see separate credits above.

Yes

“ ̽��ֱ��best or worst thing to happen to humanity” - Stephen Hawking launches Centre for the Future of Intelligence

sjr81 — Wed, 19 Oct 2016 14:58:23 +0000

Speaking at the launch of the £10million Leverhulme Centre for the Future of Intelligence (CFI) in Cambridge, Professor Hawking said the rise of AI would transform every aspect of our lives and was a global event on a par with the industrial revolution.

CFI brings together four of the world’s leading universities (Cambridge, Oxford, Berkeley and Imperial College, London) to explore the implications of AI for human civilisation. Together, an interdisciplinary community of researchers will work closely with policy-makers and industry investigating topics such as the regulation of autonomous weaponry, and the implications of AI for democracy.

“Success in creating AI could be the biggest event in the history of our civilisation,” said Professor Hawking. “But it could also be the last – unless we learn how to avoid the risks. Alongside the benefits, AI will also bring dangers like powerful autonomous weapons or new ways for the few to oppress the many.

“We cannot predict what we might achieve when our own minds are amplified by AI. Perhaps with the tools of this new technological revolution, we will be able to undo some of the damage done to the natural world by the last one – industrialisation.”

̽��ֱ��Centre for the Future of Intelligence will initially focus on seven distinct projects in the first three-year phase of its work, reaching out to brilliant researchers and connecting them and their ideas to the challenges of making the best of AI. Among the initial research topics are: ‘Science, value and the future of intelligence’; ‘Policy and responsible innovation’; ‘Autonomous weapons – prospects for regulation’ and ‘Trust and transparency’.

̽��ֱ��Academic Director of the Centre, and Bertrand Russell Professor of Philosophy at Cambridge, Huw Price, said: “ ̽��ֱ��creation of machine intelligence is likely to be a once-in-a-planet’s-lifetime event. It is a future we humans face together. Our aim is to build a broad community with the expertise and sense of common purpose to make this future the best it can be.”

Many researchers now take seriously the possibility that intelligence equal to our own will be created in computers within this century. Freed of biological constraints, such as limited memory and slow biochemical processing speeds, machines may eventually become more intelligent than we are – with profound implications for us all.

AI pioneer Professor Maggie Boden ( ̽��ֱ�� of Sussex) sits on the Centre’s advisory board and spoke at this evening’s launch. She said: “AI is hugely exciting. Its practical applications can help us to tackle important social problems, as well as easing many tasks in everyday life. And it has advanced the sciences of mind and life in fundamental ways. But it has limitations, which present grave dangers given uncritical use. CFI aims to pre-empt these dangers, by guiding AI development in human-friendly ways.”

“Recent landmarks such as self-driving cars or a computer game winning at the game of Go, are signs of what’s to come,” added Professor Hawking. “ ̽��ֱ��rise of powerful AI will either be the best or the worst thing ever to happen to humanity. We do not yet know which. ̽��ֱ��research done by this centre is crucial to the future of our civilisation and of our species.”

Transcript of Professor Hawking’s speech at the launch of the Leverhulme Centre for the Future of Intelligence, October 19, 2016

“It is a great pleasure to be here today to open this new Centre. We spend a great deal of time studying history, which, let’s face it, is mostly the history of stupidity. So it is a welcome change that people are studying instead the future of intelligence.

Intelligence is central to what it means to be human. Everything that our civilisation has achieved, is a product of human intelligence, from learning to master fire, to learning to grow food, to understanding the cosmos.

I believe there is no deep difference between what can be achieved by a biological brain and what can be achieved by a computer. It therefore follows that computers can, in theory, emulate human intelligence — and exceed it.

Artificial intelligence research is now progressing rapidly. Recent landmarks such as self-driving cars, or a computer winning at the game of Go, are signs of what is to come. Enormous levels of investment are pouring into this technology. ̽��ֱ��achievements we have seen so far will surely pale against what the coming decades will bring.

̽��ֱ��potential benefits of creating intelligence are huge. We cannot predict what we might achieve, when our own minds are amplified by AI. Perhaps with the tools of this new technological revolution, we will be able to undo some of the damage done to the natural world by the last one — industrialisation. And surely we will aim to finally eradicate disease and poverty. Every aspect of our lives will be transformed. In short, success in creating AI, could be the biggest event in the history of our civilisation.

But it could also be the last, unless we learn how to avoid the risks. Alongside the benefits, AI will also bring dangers, like powerful autonomous weapons, or new ways for the few to oppress the many. It will bring great disruption to our economy. And in the future, AI could develop a will of its own — a will that is in conflict with ours.

In short, the rise of powerful AI will be either the best, or the worst thing, ever to happen to humanity. We do not yet know which. That is why in 2014, I and a few others called for more research to be done in this area. I am very glad that someone was listening to me!

̽��ֱ��research done by this centre is crucial to the future of our civilisation and of our species. I wish you the best of luck!”

Artificial intelligence has the power to eradicate poverty and disease or hasten the end of human civilisation as we know it – according to a speech delivered by Professor Stephen Hawking this evening.

Alongside the benefits, AI will also bring dangers, like powerful autonomous weapons, or new ways for the few to oppress the many.

Stephen Hawking

̽��ֱ��best or worst thing to happen to humanity

Nick Saffell

Stephen Hawking speaking at tonight's launch

̽��ֱ��text in this work is licensed under a Creative Commons Attribution 4.0 International License. For image use please see separate credits above.

Yes

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