Feed aggregator

Using advanced metasurfaces, researchers can now twist light to uncover hidden images and detect molecular handedness, potentially revolutionizing data encryption, biosensing, and drug safety.

Crystals may seem flawless, but deep inside they contain tiny structural imperfections that dramatically influence their strength and behavior. Researchers from The University of Osaka have used the sophisticated math of differential geometry to reveal how these defects—like dislocations and disclinations—interact in elegant, unified ways. Their findings could help scientists engineer tougher, smarter materials by intentionally leveraging these flaws rather than avoiding them.

A powerful new technique harnesses swirling plasma inside laser-blasted microtubes to produce record-breaking magnetic fields—rivaling those near neutron stars—all within a compact laboratory setup. This innovation promises to transform astrophysics, quantum research, and fusion energy experiments by unleashing megatesla-level forces using nothing more than targeted laser pulses and clever engineering.

Chemists at the University of Geneva and University of Pisa have crafted a novel family of chiral molecules whose mirror-image “handedness” remains rock-solid for tens of thousands of years. By swapping the usual carbon-bound arms for oxygen and nitrogen, they introduced an unprecedented stereogenic center and proved its extreme resilience through dynamic chromatography and quantum calculations. This breakthrough not only prevents life-saving drugs from flipping into harmful twins but also unlocks fresh 3D architectures for future medicines and smart materials.

On 1st July the Faculty's Assistant Professor in International Law Dr Rumiana Yotova was was invited to deliver the 6th Annual Heilbron Lecture for the Next 100 Years Project in the Old Bailey in London on the topic 'Creation: The Human and Humanity in the Age of New Technologies'. The lecture delved into the legal and ethical dilemmas posed by genome editing and emerging biotechnologies. She explored how new technologies like CRISPR Cas9 allow us not just to create life, but to shape the very essence of humanity and considered that while gene editing offers hope for curing genetic diseases, it also raises concerns about unintended consequences, ethical boundaries, and unequal access. She went on to discuss how national laws in the field are inconsistent and frequently lag behind the science, whilst from an international law perspective, no global treaty exists and existing conventions and declarations are outdated and lack clear, enforceable standards. The lecture concluded with a call to action for action to achieve international consensus: Dr Yotova called for a new international agreement to set standards, protect future generations and ensure responsible governance, before technology outpaces regulation. Dr Yotova was introduced by Baroness Shami Chakrabarti and Dana Denis-Smith OBE. The lecture was hosted by Sheriff Gregory Jones KC, the City of London Corporation and KPMG. The Heilbron Lecture series, launched by The Next 100 Years, aims to champion female experts in the legal profession by giving them a platform to deliver thought-provoking lectures on topical legal issues, countering the often male-dominated lecture circuit. Named after Dame Rose Heilbron QC, a pioneering figure as the first female senior judge and joint first female Queen’s Counsel (QC), the series seeks to promote rising female legal experts and ensure their visibility and recognition for their legal expertise. More information about the lecture series on Next 100 year is available from their website .

A new leap in lab automation is shaking up how scientists discover materials. By switching from slow, traditional methods to real-time, dynamic chemical experiments, researchers have created a self-driving lab that collects 10 times more data, drastically accelerating progress. This new system not only saves time and resources but also paves the way for faster breakthroughs in clean energy, electronics, and sustainability—bringing us closer to a future where lab discoveries happen in days, not years.

Scientists in China have developed a precise method to grow titanium dioxide nanorod arrays with controllable spacing, independent of rod size. This innovation boosts solar cell efficiency by allowing light capture and charge movement to be fine-tuned.

The Faculty has distributed Volume 16 Number 3 of the University of Cambridge Faculty of Law Legal Studies Research Paper Series on SSRN . This issue includes the following articles: David Erdos: Ireland and the Commonwealth, 1960s-1970s: The Ends of (Informal) External Association ( 9/2025 ) Ted Gleason, Markus Gehring, Marie-Claire Cordonier Segger, Javiera Paz Cáceres, Jorge Cabrera & Matheus Garcia: Economic Rules Toward Net Zero in 2040: Legal Options for the Future of Trade in a Net Zero World ( 10/2025 ) Holli Sargeant: From Estimation to Discrimination: Algorithmic Bias, Predictive Uncertainty, and Anti-Discrimination Law ( 11/2025 ) Narine Lalafaryan: Chameleon Capital ( 12/2024 ) Sarah Nouwen & Wouter Werner: Embracing Discomfort: From Textbook to Scriptbook in Legal Education ( 13/2024 ) Interested readers can browse the Working Paper Series at SSRN , or sign up to subscribe to distributions of the the e-journal.

Researchers have cracked a fundamental optical challenge: how to control both angle and wavelength of light independently—a problem that’s limited imaging and display technologies for years. By harnessing the power of radiation directionality and engineering bilayer metagratings with unique symmetry properties, they’ve decoupled these two variables for the first time. Their precise nanofabrication techniques allow for ultra-flat, highly aligned structures that selectively reflect light only at specific angles and wavelengths. This breakthrough could revolutionize AR/VR displays, spectral imaging, and even optical computing, giving unprecedented control over light in compact devices.

Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and solve the long-standing polaron problem, unlocking deeper understanding of electron flow in tricky materials.

Researchers at the University of Illinois have pulled off a laser first: they built a new kind of eye-safe laser that works at room temperature, using a buried layer of glass-like material instead of the usual air holes. This design not only boosts laser performance but also opens the door to safer and more precise uses in defense, autonomous vehicles, and advanced sensors. It’s a breakthrough in how we build and power lasers—and it might change what lasers can do in the real world.

Scientists have discovered a revolutionary new method for creating quantum states by twisting materials at the M-point, revealing exotic phenomena previously out of reach. This new direction dramatically expands the moiré toolkit and may soon lead to the experimental realization of long-sought quantum spin liquids.

A groundbreaking step in AI hardware efficiency comes from Germany, where scientists have engineered a vast spin waveguide network that processes information with far less energy. These spin waves quantum ripples in magnetic materials offer a promising alternative to power-hungry electronics.

Dr Narine Lalafaryan (Assistant Professor of Corporate Law; Fellow, Pembroke College; CERF Fellow) gave evidence on 9 July 2025 to the House of Lords, Financial Services Regulation Committee . The Financial Services Regulation Committee invited Dr Lalafaryan to provide evidence on the growth of private markets in the UK...

Imagine if you could "print" a tiny skyscraper using DNA instead of steel. That’s what researchers at Columbia and Brookhaven are doing—constructing intricate 3D nanostructures by harnessing the predictable folding of DNA strands. Their new design method uses voxel-like building blocks and an algorithm called MOSES to fabricate nanoscale devices in parallel, with applications ranging from optical computing to bio-scaffolds. Unlike traditional lithography or 3D printing, this self-assembly process occurs entirely in water and could revolutionize the future of nanomanufacturing.

By 2040, the energy demands of the tech industry could be up to 25 times higher than today, with unchecked growth of data centres driven by AI expected to create surges in electricity consumption that will strain power grids and accelerate carbon emissions.  

This is according to a new report from the University of Cambridge’s Minderoo Centre for Technology and Democracy, which suggests that even the most conservative estimate for big tech’s energy needs will see a five-fold increase over the next 15 years. 

The idea that governments such as the UK can become leaders in AI while simultaneously meeting their net zero targets amounts to “magical thinking at the highest levels,” according to the report’s authors. The UK is committed to net zero greenhouse gas emissions by 2050.

Researchers call for global standards in reporting AI’s environmental cost through forums such as COP, the UN climate summit, and argue that the UK should advocate for this on the international stage while ensuring democratic oversight at home.

The report, published today, synthesises projections from leading consultancies to forecast the energy demands of the global tech industry. The researchers note that these projections are based on claims by tech firms themselves. 

At the moment, data centres – the facilities that house servers for processing and storing data, along with cooling systems preventing this hardware from overheating – account for nearly 1.5% of global emissions.

This figure is expected to grow by 15-30% each year to reach 8% of total global greenhouse gas emissions by 2040, write the report’s authors. They point out that this would far exceed current emissions from air travel. 

The report highlights that in the US, China, and Europe, data centres already consume around 2-4% of national electricity, with regional concentrations becoming extreme. For example, up to 20% of all power in Ireland now goes to data centres in Dublin’s cluster.

“We know the environmental impact of AI will be formidable, but tech giants are deliberately vague about the energy requirements implicit in their aims,” said Bhargav Srinivasa Desikan, the report’s lead author from Cambridge’s Minderoo Centre.

“The lack of hard data on electricity and water consumption as well as associated carbon emissions of digital technology leaves policymakers and researchers in the dark about the climate harms AI might cause.”

“We need to see urgent action from governments to prevent AI from derailing climate goals, not just deferring to tech companies on the promise of economic growth,” said Desikan.

The researchers also use data from corporate press releases and ESG reports of some of the world’s tech giants to show the alarming trajectory of energy use before the AI race had fully kicked into gear.

Google’s reported greenhouse gas emissions rose by 48% between 2019 and 2023, while Microsoft’s reported emissions increased by nearly 30% from 2020 to 2023. Amazon’s carbon footprint grew around 40% between 2019 and 2021, and – while it has begun to fall – remains well above 2019 levels.

This self-reported data is contested, note the researchers, and some independent reporting suggests that actual emissions from tech companies are much higher.  

Several tech giants are looking to nuclear power to defuse the energy timebomb at the heart of their ambitions. Sam Altman, CEO of OpenAI, has argued that fusion is needed to meet AI’s potential, while Meta have said that nuclear energy can “provide firm, baseload power” to supply their data centres.

Microsoft have even signed a 20-year agreement to reactivate the Three Mile Island plant – site of the worst nuclear accident in US history.

Some tech leaders, such as former Google CEO Eric Schmidt, argue that environmental costs of AI will be offset by its benefits for the climate crisis – from contributing to scientific breakthroughs in green energy to enhanced climate change modelling.

“Despite the rapacious energy demands of AI, tech companies encourage governments to see these technologies as accelerators for the green transition,” said Prof Gina Neff, Executive Director of the Minderoo Centre for Technology and Democracy.

“These claims appeal to governments banking on AI to grow the economy, but they may compromise society's climate commitments.”

“Big Tech is blowing past their own climate goals, while they rely heavily on renewable energy certificates and carbon offsets rather than reducing their emissions,” said Prof Neff.

“Generative AI may be helpful for designing climate solutions, but there is a real risk that emissions from the AI build-out will outstrip any climate gains as tech companies abandon net zero goals and pursue huge AI-driven profits.”

The report calls for the UK’s environmental policies to be updated for the “AI era”. Recommendations include adding AI’s energy footprint into national decarbonisation plans, with specific carbon reduction targets for data centres and AI services, and requirements for detailed reporting of energy and water consumption.  

Ofgem should set strict energy efficiency targets for data centres, write the report’s authors, while the Department for Energy Security and Net Zero and the Department for Science, Innovation and Technology should tie AI research funding and data centre operations to clean power adoption.

The report’s authors note that that UK’s new AI Energy Council currently consists entirely of energy bodies and tech companies – with no representation for communities, climate groups or civil society.  

“Energy grids are already stretched,” said Prof John Naughton, Chair of the Advisory Board at the Minderoo Centre for Technology and Democracy.

“Every megawatt allocated to AI data centres will be a megawatt unavailable for housing or manufacturing. Governments need to be straight with the public about the inevitable energy trade-offs that will come with doubling down on AI as an engine of economic growth.”
 

With countries such as the UK declaring ambitious goals for both AI leadership and decarbonisation, a new report suggests that AI could drive a 25-fold increase in the global tech sector’s energy use by 2040.

halbergman/Getty Technicians walking through a vast data centre for AI and cloud computing in the US

The text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright ©University 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

By 2040, the energy demands of the tech industry could be up to 25 times higher than today, with unchecked growth of data centres driven by AI expected to create surges in electricity consumption that will strain power grids and accelerate carbon emissions.  

This is according to a new report from the University of Cambridge’s Minderoo Centre for Technology and Democracy, which suggests that even the most conservative estimate for big tech’s energy needs will see a five-fold increase over the next 15 years. 

The idea that governments such as the UK can become leaders in AI while simultaneously meeting their net zero targets amounts to “magical thinking at the highest levels,” according to the report’s authors. The UK is committed to net zero greenhouse gas emissions by 2050.

Researchers call for global standards in reporting AI’s environmental cost through forums such as COP, the UN climate summit, and argue that the UK should advocate for this on the international stage while ensuring democratic oversight at home.

The report, published today, synthesises projections from leading consultancies to forecast the energy demands of the global tech industry. The researchers note that these projections are based on claims by tech firms themselves. 

At the moment, data centres – the facilities that house servers for processing and storing data, along with cooling systems preventing this hardware from overheating – account for nearly 1.5% of global emissions.

This figure is expected to grow by 15-30% each year to reach 8% of total global greenhouse gas emissions by 2040, write the report’s authors. They point out that this would far exceed current emissions from air travel. 

The report highlights that in the US, China, and Europe, data centres already consume around 2-4% of national electricity, with regional concentrations becoming extreme. For example, up to 20% of all power in Ireland now goes to data centres in Dublin’s cluster.

“We know the environmental impact of AI will be formidable, but tech giants are deliberately vague about the energy requirements implicit in their aims,” said Bhargav Srinivasa Desikan, the report’s lead author from Cambridge’s Minderoo Centre.

“The lack of hard data on electricity and water consumption as well as associated carbon emissions of digital technology leaves policymakers and researchers in the dark about the climate harms AI might cause.”

“We need to see urgent action from governments to prevent AI from derailing climate goals, not just deferring to tech companies on the promise of economic growth,” said Desikan.

The researchers also use data from corporate press releases and ESG reports of some of the world’s tech giants to show the alarming trajectory of energy use before the AI race had fully kicked into gear.

Google’s reported greenhouse gas emissions rose by 48% between 2019 and 2023, while Microsoft’s reported emissions increased by nearly 30% from 2020 to 2023. Amazon’s carbon footprint grew around 40% between 2019 and 2021, and – while it has begun to fall – remains well above 2019 levels.

This self-reported data is contested, note the researchers, and some independent reporting suggests that actual emissions from tech companies are much higher.  

Several tech giants are looking to nuclear power to defuse the energy timebomb at the heart of their ambitions. Sam Altman, CEO of OpenAI, has argued that fusion is needed to meet AI’s potential, while Meta have said that nuclear energy can “provide firm, baseload power” to supply their data centres.

Microsoft have even signed a 20-year agreement to reactivate the Three Mile Island plant – site of the worst nuclear accident in US history.

Some tech leaders, such as former Google CEO Eric Schmidt, argue that environmental costs of AI will be offset by its benefits for the climate crisis – from contributing to scientific breakthroughs in green energy to enhanced climate change modelling.

“Despite the rapacious energy demands of AI, tech companies encourage governments to see these technologies as accelerators for the green transition,” said Prof Gina Neff, Executive Director of the Minderoo Centre for Technology and Democracy.

“These claims appeal to governments banking on AI to grow the economy, but they may compromise society's climate commitments.”

“Big Tech is blowing past their own climate goals, while they rely heavily on renewable energy certificates and carbon offsets rather than reducing their emissions,” said Prof Neff.

“Generative AI may be helpful for designing climate solutions, but there is a real risk that emissions from the AI build-out will outstrip any climate gains as tech companies abandon net zero goals and pursue huge AI-driven profits.”

The report calls for the UK’s environmental policies to be updated for the “AI era”. Recommendations include adding AI’s energy footprint into national decarbonisation plans, with specific carbon reduction targets for data centres and AI services, and requirements for detailed reporting of energy and water consumption.  

Ofgem should set strict energy efficiency targets for data centres, write the report’s authors, while the Department for Energy Security and Net Zero and the Department for Science, Innovation and Technology should tie AI research funding and data centre operations to clean power adoption.

The report’s authors note that that UK’s new AI Energy Council currently consists entirely of energy bodies and tech companies – with no representation for communities, climate groups or civil society.  

“Energy grids are already stretched,” said Prof John Naughton, Chair of the Advisory Board at the Minderoo Centre for Technology and Democracy.

“Every megawatt allocated to AI data centres will be a megawatt unavailable for housing or manufacturing. Governments need to be straight with the public about the inevitable energy trade-offs that will come with doubling down on AI as an engine of economic growth.”
 

With countries such as the UK declaring ambitious goals for both AI leadership and decarbonisation, a new report suggests that AI could drive a 25-fold increase in the global tech sector’s energy use by 2040.

halbergman/Getty Technicians walking through a vast data centre for AI and cloud computing in the US

The text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright ©University 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

A laser-equipped research platform has, for the first time, photographed airflow just millimeters above ocean waves, revealing two simultaneous wind–wave energy-transfer tricks—slow short waves steal power from the breeze, while long giants sculpt the air in reverse. These crisp observations promise to overhaul climate and weather models by clarifying how heat, momentum, and greenhouse gases slip between sea and sky.

A groundbreaking collaboration between Los Alamos scientists and Duke University has resurrected a nearly forgotten 1938 experiment that may have quietly sparked the age of fusion energy. Arthur Ruhlig, a little-known physicist, first observed signs of deuterium-tritium (DT) fusion nearly a decade before its significance became clear in nuclear science. The modern team not only confirmed the essence of Ruhlig s original findings but also traced how his work may have inspired key Manhattan Project insights.

Scientists from UCL and the University of Cambridge have revealed that "space ice"—long thought to be completely disordered—is actually sprinkled with tiny crystals, changing our fundamental understanding of ice in the cosmos. These micro-crystals, just nanometers wide, were identified through simulations and lab experiments, revealing that even the most common ice in space retains a surprising structure. This has major implications not just for astrophysics, but also for theories about the origin of life and advanced materials technology.