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Learn to Fold the 'Canard' Paper Airplane

John Collins, also known as 'The Paper Airplane Guy,' teaches us how to fold and fly our very own "Canard" paper airplane.




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Learn to Fold the World's Best Paper Airplane

John Collins, also known as 'The Paper Airplane Guy,' teaches us how to fold and fly our very own version of his "world record" paper airplane. John attempts to make the greatest paper airplane on the planet, and takes us along for the ride.




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Inside JET: The world's biggest nuclear fusion experiment | On Location

Inside these walls, scientists have been trying for decades to create an unlimited source of energy, nuclear fusion. Welcome to JET, the world's biggest nuclear fusion experiment. Scientists argue that fusion could replace coal gas and nuclear fission in the energy mix alongside renewable energy, which can prove to be unreliable. If we can learn to control it, nuclear fusion could change life as we know it. But that's a big if. This video was produced as part of Digital Society, a publishing partnership between WIRED and Vontobel where all content is editorially independent. Visit Vontobel Impact for more stories on how technology is shaping the future of society: https://www.vontobel.com/en-int/about-vontobel/impact/ With thanks to the CCFE: https://ccfe.ukaea.uk #WIRED #NuclearFusion #NuclearReactor




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Computer Scientist Explains Machine Learning in 5 Levels of Difficulty

WIRED has challenged computer scientist and Hidden Door cofounder and CEO Hilary Mason to explain machine learning to 5 different people; a child, teen, a college student, a grad student and an expert.




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Re:WIRED GREEN 2022: Alan Ahn on the Future of US Nuclear Power

Alan Ahn, senior resident fellow of the Climate and Energy program at Third Way, an organization that advocates for sustainable nuclear power, will take the stage to discuss the future of nuclear power in the United States and how recent events in Ukraine and Japan have changed people’s perceptions of nuclear energy as a clean solution.




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Re:WIRED GREEN 2022: Alan Ahn on the Future of US Nuclear Power

Alan Ahn, senior resident fellow of the Climate and Energy program at Third Way, an organization that advocates for sustainable nuclear power, will take the stage to discuss the future of nuclear power in the United States and how recent events in Ukraine and Japan have changed people’s perceptions of nuclear energy as a clean solution.




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MIT Professor Explains Nuclear Fusion in 5 Levels of Difficulty

Nuclear fusion underpins some of the most basic processes in our universe and holds the promise of virtually limitless, clean, carbon-free energy. Dr. Anne White, Professor of Nuclear Science and Engineering at The Massachusetts Institute of Technology, has been challenged to explain the nature of nuclear fusion to 5 different people; a child, a teen, a college student, a grad student, and an expert.




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Dilwale digital le jayenge – the smart future of online learning

Welcome to the fast and furious world of online learning in India, where education meets the digital age with a dash of chutney.




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5 Steps to Creating Learner-Centered Content on Social Media

Think about learning. We all experience learning differently. Most of us took part in one or other forms of formal education — took a course, went to university or even attended a workshop. More often than not, we associate learning experiences with these formal settings. However, that’s not always the case; learning occurs throughout one’s life and well beyond the classroom.

In a world where social media is becoming part of our lives, it’s more relevant than ever to explore its potential as a learning and teaching tool. Research shows that social media and mobile devices can support learning and create a positive impact on both educators and learners.




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Lawsuit Challenges Clearviews Use of Scraped Social Media Images for Facial Recognition

Facial recognition technology is getting more sophisticated, more reliable, and more pervasive as the world eases its way toward becoming an all-encompassing surveillance state. That surveillance state does not even have to be built; it is increasingly ready for deployment as law enforcement agencies cut deals with private companies that have already assembled the tools and databases for use. As with cell phone tracking, that plug-and-play quality does an end-run around safeguards that, at least nominally, restrict government actors, and invites legal challenges based on civil liberties concerns.




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Machine learning for deconstructing contributions of atomic characterizations to achieve hybridization-determined electron transfer in a perovskite catalyst

J. Mater. Chem. A, 2024, 12,30722-30728
DOI: 10.1039/D4TA05018E, Paper
Jun Zhu, Mengdan Song, Qiling Qian, Yang Yue, Guangren Qian, Jia Zhang
Machine learning deconstructed the atomic contribution of a perovskite to catalytic toluene decomposition and found that wider hybridization resulted in smaller impedance, faster electron transfer speed, and enhanced catalytic activity.
The content of this RSS Feed (c) The Royal Society of Chemistry




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Development and application of Few-shot learning methods in materials science under data scarcity

J. Mater. Chem. A, 2024, 12,30249-30268
DOI: 10.1039/D4TA06452F, Review Article
Yongxing Chen, Peng Long, Bin Liu, Yi Wang, Junlong Wang, Tian Ma, Huilin Wei, Yue Kang, Haining Ji
Machine learning, as a significant branch of artificial intelligence, shortens the cycle of material discovery and synthesis by exploring the characteristics of data.
The content of this RSS Feed (c) The Royal Society of Chemistry




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Machine learning aided design of high performance copper-based sulfide photocathodes

J. Mater. Chem. A, 2024, Advance Article
DOI: 10.1039/D4TA06128D, Paper
Yuxi Cao, Kaijie Shen, Yuanfei Li, Fumei Lan, Zeyu Guo, Kelu Zhang, Kang Wang, Feng Jiang
With the help of machine learning algorithms, we developed software that can predict the performance of copper-based sulfide photocathodes and this system shows excellent accuracy of up to 96%.
To cite this article before page numbers are assigned, use the DOI form of citation above.
The content of this RSS Feed (c) The Royal Society of Chemistry




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Clear all dues before seeking licence renewal: DGCA




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Chhattisgarh tribal body finds irregularities in Hasdeo mining clearance

The Chhattisgarh State Scheduled Tribe Commission found that the clearance was obtained using forged documents




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Cabinet clears ₹32,000 crore proposals for key space missions

Funds cover Chandrayaan-4, Venus Orbiter, space station, and next-gen launch vehicle




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CERN, the world’s biggest nuclear research centre, turns 70; in search of funding for next project

The nuclear physics hub needs to finance the construction of the Future Circular Collider as its existing particle accelerator — famed for discovering the Higgs Boson — edges toward the end of its useful life




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Nifty prediction today – Nov 8, 2024: Intraday outlook is unclear. Stay out of the market

Nifty 50 November futures contract can oscillate in a range of 24,150-24,400




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Director Sai Rajesh: ‘Baby’ has been a learning experience; henceforth I will be more cautious in my writing

Sai Rajesh, the writer-director of the Telugu romantic drama ‘Baby’ that has been eliciting extreme responses, says he did not intend to make a toxic film




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Drive to clear walkways in Puducherry of encroachments enters fourth day

Following public complaints and newspaper reports highlighting illegal encroachments causing hindrance to free movement of vehicles and pedestrians on thoroughfares and arterial roads, the District Administration launched a month-long drive a few days ago




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Online and offline learning using fading memory functions in HfSiOx-based ferroelectric tunnel junctions

J. Mater. Chem. C, 2024, 12,17362-17376
DOI: 10.1039/D4TC03397C, Communication
Jungwoo Lee, Chaewon Youn, Jungang Heo, Sungjun Kim
We demonstrate online and offline learning as well as associative learning such as in Pavlov's dog experiments using the non-volatile and volatile properties of HfSiOx-based FTJs.
The content of this RSS Feed (c) The Royal Society of Chemistry




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Residents in Chennai hope for clear waterways and relief from mosquito menace




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Antimicrobial resistance: clear and present danger

India awoke late to risks of antibiotic overuse and is scrambling to contain the surge in drug resistance.



  • Policy & Issues

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Protests, failure to get DGCA clearance dashed hopes of seaplane investors in 2013

Companies that took on lease or bought amphibian aircraft either closed down or went bankrupt as they counldn’t start service




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India asks states away from coal to consider nuclear power

India has pledged to achieve net-zero by 2070 and has a target to generate 500 GW of renewable energy a year by 2030




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Sinner cleared of wrongdoing after failing anti-doping tests

Sinner provided an in-competition sample at the Indian Wells Masters on March 10, 2024 which contained the presence of a metabolite of clostebol at low levels, according to the ITIA




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“It is not just the shape, there is more”: students’ learning of enzyme–substrate interactions with immersive Virtual Reality

Chem. Educ. Res. Pract., 2025, Advance Article
DOI: 10.1039/D4RP00210E, Paper
Henry Matovu, Mihye Won, Roy Tasker, Mauro Mocerino, David Franklin Treagust, Dewi Ayu Kencana Ungu, Chin-Chung Tsai
To cite this article before page numbers are assigned, use the DOI form of citation above.
The content of this RSS Feed (c) The Royal Society of Chemistry




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Self-regulated learning strategies for success in an online first-year chemistry course

Chem. Educ. Res. Pract., 2025, Accepted Manuscript
DOI: 10.1039/D4RP00159A, Paper
Langanani Rakhunwana, Angelique Kritzinger, Lynne Alison Pilcher
During their first year of study at university, many students encounter challenges in developing learning strategies that align with success in the courses in which they are enrolled. The emergence...
The content of this RSS Feed (c) The Royal Society of Chemistry




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Elucidating the impact of oxygen functional groups on the catalytic activity of M–N4–C catalysts for the oxygen reduction reaction: a density functional theory and machine learning approach

Mater. Horiz., 2024, 11,1719-1731
DOI: 10.1039/D3MH02115G, Communication
Liang Xie, Wei Zhou, Yuming Huang, Zhibin Qu, Longhao Li, Chaowei Yang, Yani Ding, Junfeng Li, Xiaoxiao Meng, Fei Sun, Jihui Gao, Guangbo Zhao, Yukun Qin
While current experimental and computational studies often concentrate on introducing external structures or idealized MN4 models, we emphasize the often-overlooked impact of inherent OGs within the carbon structure of MN4 materials, presenting a new perspective on their catalytic activity origin.
The content of this RSS Feed (c) The Royal Society of Chemistry




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Exploring negative thermal expansion materials with bulk framework structures and their relevant scaling relationships through multi-step machine learning

Mater. Horiz., 2024, Advance Article
DOI: 10.1039/D3MH01509B, Communication
Yu Cai, Chunyan Wang, Huanli Yuan, Yuan Guo, Jun-Hyung Cho, Xianran Xing, Yu Jia
We uses the multi-step ML method to mine 1000 potential NTE materials from ICSD, MPD and COD databases, and the presented phase diagram can serve as a preliminary criterion for judging and designing new NTE materials.
To cite this article before page numbers are assigned, use the DOI form of citation above.
The content of this RSS Feed (c) The Royal Society of Chemistry




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Union Budget 2024-25 — no signs of learning

The mismatch between the problem at hand and what the Budget offers is stark be it welfare or even taking care of key political allies




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Having private participation in India’s nuclear energy

With the government proposing such a partnership, the existing framework governing the nuclear energy sector needs to be assessed




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When the U.S. catches a cold, Canada sneezes: a lower-bound tale told by deep learning [electronic journal].




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Tax Simplicity and Heterogeneous Learning [electronic journal].

National Bureau of Economic Research




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Social learning in agriculture: does smallholder heterogeneity impede technology diffusion in Sub-Saharan Africa? [electronic journal].




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Sequential Learning with Endogenous Consideration Sets [electronic journal].




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Sequential Learning [electronic journal].




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Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium [electronic journal].




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Predicting Consumer Default: A Deep Learning Approach [electronic journal].

National Bureau of Economic Research




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Predictably Unequal? The Effects of Machine Learning on Credit Markets [electronic journal].




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Market Power and Price Discrimination: Learning from Changes in Renewables Regulation [electronic journal].




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Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence [electronic journal].




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The Lost Human Capital: Teacher Knowledge and Student Learning in Africa [electronic journal].




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Learning When to Quit: An Empirical Model of Experimentation [electronic journal].

National Bureau of Economic Research




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Learning to Import from Your Peers [electronic journal].




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Learning over the Business Cycle: Policy Implications [electronic journal].




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Learning Management Through Matching: A Field Experiment Using Mechanism Design [electronic journal].

National Bureau of Economic Research




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Learning from Noise: Evidence from India's IPO Lotteries [electronic journal].




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Learning from Nationally Determined Contributions [electronic journal].




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Learning from House Prices: Amplification and Business Fluctuations [electronic journal].