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How AI is Helping Minimize Waste in the Clothing Industry – Analytics Insight

Pawan Gupta explains the need of leveraging artificial intelligence to reduce wastage

Artificial Intelligence is a phrase that has been around for many years now. It started as fiction in movies and popular literature and steadily became a trendy word to describe intelligent machines. But today its becoming indispensable, crossing over from fiction to fact, across industries.

The pandemic had a lot to do with this rising popularity and usefulness. At least 40% of active fashion consumers today are already availing of online services even as you read these words, increasing opportunities for deploying AI and deriving benefits. Without mistake, it can be said that we are in the midst of the fourth industrial revolution, where brands are gearing up to embrace the benefits of Artificial Intelligence and other new-age technologies.

Artificial Intelligence is used in different ways in the fashion industry. The industry is faced with several challenges, sustainability being the top on the list. But considering how widespread and popular fast-fashion trends are, change is a long-term endeavor. However, with the help of Artificial Intelligence, accurate predictions of trends, understanding customer preferences, managing workflows, and efficient supply chain are now reducing overproduction and minimizing wastage.

Tackling overproduction and overstocking has become a necessary concern among producers globally. United Nations estimated that the global fashion industry losing at least $500 billion annually due to a lack of and widespread use of recycling practices. Improper clothing disposal is also adding much to the loss.

Overproduction of overstocking is common among producers, especially due to a lack of Data Intelligence tools. The balance sheet of demand and supply is often off balance because proper assessment of trends and demands is either not done or is not done accurately or efficiently. To identify a few factors which create surplus stocks:

The answer to the above challenges can well be found in the use of Artificial Intelligence. AI tools help in market research and fetch real-time information. The data gathered can be aptly assimilated into a real-time prediction system, in which case inventory management can become both manageable and sans waste. The data collected and stored can also be used for future references.

Customer behaviour prediction is another important contribution of AI to combat waste in the clothing industry. Customer behaviour is always changing, and one can never rely on any one-time data when it comes to this. Hence AI can be integrated into the retailers planning policy as the data analyzed can be used to adapt to the latest demand patterns.

Demand patterns can be predicted with the help of algorithms. It can even start on any social media platform. The algorithm gives accurate data about the market and hence can drive the retailers to make the correct decisions about how much to produce. This is what we now call smart demand forecasting or smart demand prediction. Customers purchasing history can also be traced with the help of AI and can help the retailers to cater exactly to their demands. This may lead to lesser returns and help the customers make the right decisions.

Artificial Intelligence has become a part of the fashion industry in a way no one had previously predicted. We are denizens of a virtual world now and AI tools are constantly transforming the way we are manufacturing and marketing the products. Future predictions about robots being used for cutting and sewing are already in place. With the use of AI and new-age technologies, we can expect a reduction in wastage by about 60 to 70% as the processes will be automated with the highest possible accuracy.

Pawan Gupta, CEO & Co-founder at Fashinza

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Analytics Insight is an influential platform dedicated to insights, trends, and opinions from the world of data-driven technologies. It monitors developments, recognition, and achievements made by Artificial Intelligence, Big Data and Analytics companies across the globe.

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Toronto tech institute tracking long COVID with artificial intelligence, social media – The Globe and Mail

The Vector Institute has teamed up with Telus Corp., Deloitte and Roche Canada to help health care professionals learn more about the symptoms of long COVID.Nathan Denette/The Canadian Press

A Toronto tech institute is using artificial intelligence and social media to track and determine which long-COVID symptoms are most prevalent.

The Vector Institute, an artificial intelligence organization based at the MaRS tech hub in Toronto, has teamed up with telecommunications company Telus Corp., consulting firm Deloitte and diagnostics and pharmaceuticals business Roche Canada to help health care professionals learn more about the symptoms that people with a long-lasting form of COVID experience.

They built an artificial intelligence framework that used machine learning to locate and process 460,000 Twitter posts from people with long COVID defined by the Canadian government as people who show symptoms of COVID-19 for weeks or months after their initial recovery.

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The framework parsed through tweets to determine which are first-person accounts about long COVID and then tallied up the symptoms described. It found fatigue, pain, brain fog, anxiety and headaches were the most common symptoms and that many with long COVID experienced several symptoms at once.

Replicating that research without AI would have taken a huge amount of hours worked and staff members, who would have had to manually locate hundreds of thousands of social-media posts or people and siphon out those without long-COVID or first-person accounts and count symptoms.

AI is very good at taking large sets of large amounts of data to find patterns, said Cameron Schuler, Vectors chief commercialization officer and vice-president of industry innovation. Its for stuff that is way too big for any human to actually be able to hold this in their brain.

The framework speeds up the research process around a virus that is quickly evolving and still associated with so many unknowns.

So far, long COVID isnt well understood. Theres no uniform way to diagnose it nor a single treatment to ease or cure it. Information is key to giving patients better outcomes and ensuring hospitals arent overwhelmed in the coming years.

A survey conducted in May, 2021, of 1,048 Canadians with long COVID, also known as post-COVID syndrome, found more than 100 symptoms or difficulties with everyday activities.

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About 80 per cent of adults surveyed by Viral Neuro Exploration, COVID Long Haulers Support Group Canada and Neurological Health Charities Canada reported one or more symptoms between four and 12 weeks after they were first infected.

Sixty per cent reported one or more symptoms in the long term. The symptoms were so severe that about 10 per cent are unable to return to work in the long term.

Researchers and those behind the technology are hopeful it will quickly contribute to the worlds fight against long COVID, but are already imagining ways they can advance the framework even further or apply it to other situations.

This is a novel kind of tool, said Dr. Angela Cheung, a senior physician scientist at the University Health Network, who is running two large studies on long COVID.

Im not aware of anyone else having done this and so I think it really may be quite useful going forward in health research.

Researchers say preliminary uses of the framework show it can help uncover patterns related to symptom frequencies, co-occurrence and distribution over time.

It could also be applied to other health events such as emerging infections or rare diseases or the effects of booster shots on infection.

Sign up for the Coronavirus Update newsletter to read the days essential coronavirus news, features and explainers written by Globe reporters and editors.

This content appears as provided to The Globe by the originating wire service. It has not been edited by Globe staff.

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Life and health insurers to use advanced artificial intelligence to reduce benefits fraud – Canada NewsWire

TORONTO, Feb. 14, 2022 /CNW/ - The Canadian Life and Health Insurance Association (CLHIA) is pleased to announce the launch of an industry initiative to pool claims data and use advanced artificial intelligence tools to enhance the detection and investigation of benefits fraud.

Every insurer in Canada has their own internal analytics to detect fraud within their book of business. This new initiative, led by the CLHIA and its technology provider Shift Technology will deploy advanced AI to analyze industry-wide anonymized claim data. By identifying patterns across millions of records, the program is enhancing the effectiveness of benefits fraud investigations across the industry.

We expect that the initiative will expand in scope over the coming years to include even more industry data.

"Fraudsters are taking increasingly sophisticated steps to avoid detection," said Stephen Frank, CLHIA's President and CEO. "This technology will give insurers the edge they need to identify patterns and connect the dots across a huge pool of claims data over time, leading to more investigations and prosecutions."

"The capability for individual insurers to identify potential fraud has already proven incredibly beneficial," explained Jeremy Jawish, CEO and co-founder of Shift Technology. "Through the work Shift Technology is doing with the CLHIA, we are expanding that benefit across all member organizations, and providing a valuable fraud fighting solution to the industry at large."

Insurers paid out nearly $27 billion in supplementary health claims in 2020. Employers and insurers lose what is estimated to be millions of dollars each year to fraudulent group health benefits claims. The costs of fraud are felt by insurers, employers and employees and put the sustainability of group benefits plans at risk.

About CLHIAThe CLHIA is a voluntary association whose member companies account for 99 per cent of Canada's life and health insurance business. These insurers provide financial security products including life insurance, annuities (including RRSPs, RRIFs and pensions) and supplementary health insurance to over 29 million Canadians. They hold over $1 trillion in assets in Canada and employ more than 158,000 Canadians. For more information, visit http://www.clhia.ca.

About Shift TechnologyShift Technology delivers the only AI-native decision automation and optimization solutions built specifically for the global insurance industry. Addressing several critical processes across the insurance policy lifecycle, the Shift Insurance Suite helps insurers achieve faster, more accurate claims and policy resolutions. Shift has analyzed billions of insurance transactions to date and was presented Frost & Sullivan's 2020 Global Claims Solutions for Insurance Market Leadership Award. For more information, visit http://www.shift-technology.com.

SOURCE Canadian Life and Health Insurance Association Inc.

For further information: Kevin Dorse, Assistant Vice President, Strategic Communications and Public Affairs, CLHIA, (613) 691-6001, [emailprotected]; Rob Morton, Corporate Communications, Shift Technology, 617-416-9216, [emailprotected]

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Ann Coulter takes off on Twitter after Delta asks her to …

Delta fires back at Ann Coulter over seat change tirade

Delta is putting a cap on its feud with Ann Coulter, offering her $30. Nathan Rousseau Smith (@fantasticmrnate) explains.

Buzz60

Donald Trump is not the only conservative prone to Twitterstorms.

Right-wing columnist and pundit Ann Coulter raised hackles after an outburst of reactive tweets, in her case after a dispute arising from a seat reassignment on a Delta flight from New York City to Florida on Saturday.

Coulters tirade was sparked when the author was asked to move from a seat she had pre-booked in an exit row to a less desirable seat, without explanation, apology, etc. She went on to complain about the woman she said had taken her seat, calling her dachshund-legged, and later posted a picture of her.

Late Sunday, she posted a tweet containing a picture of Delta jet with the words We Suck in a bubble next to it.

Just before, she claimed it had cost me $10,000 of my time to pre-select the seat I wanted, investigate type of plane & go back periodically to review seat options.

Early on Monday morning, Coulter was still complaining, saying that If you thought it was about $30, @Delta, why didn't you give this woman $30 and let me stay in my PRE-BOOKED, ASSIGNED seat?"

The airline hit back at Coulter:

Your insults about our other customers and employees are unacceptable and unnecessary, the airline said in a tweet from its account.

Later, the airline saidthat it would refund Coulter's $30 for pre-booking the seat andissued a statement further criticizing Coulter for her comments:

We are sorry that the customer did not receive the seat she reserved and paid for. More importantly, we are disappointed that the customer has chosen to publicly attack our employees and other customers by posting derogatory and slanderous comments and photos in social media. Her actions are unnecessary and unacceptable, Delta'sstatementsaid.

In apress release accompanying the statement, the airline said that Coulter originally booked seat 15F, which is located by the window in an exit row, however; within 24 hours of the flights departure, the customer changed to seat 15D, which is by the aisle. At the time of boarding, Delta inadvertently moved Coulter to 15A, a window seat, when working to accommodate several passengers with seating requests.

Delta then said that There was some confusion with seating assignments during boarding, and that a flight attendant stepped in and asked that all of the passengers move to the seats noted on their respective tickets and that All customers complied and the flight departed without incident and that crew members reported that there were no problems or concerns escalated.

It was only after the flight landed that Coulter started her social media outburst.

Some of Deltas ire related to a Coulter tweet in which she imagined a Delta employee questionnaire. What is your ideal job: Prison guard? Animal handler? Stasi policeman? All of the above: HIRED!

Coulter was not without support. A person identifying themselveshimself as Eddie Scarrytweeted that "Airlines practically got away with hate crimes against their own customers before social media. Good for @AnnCoulter."

And a man identifying himself as Jonathan Levine declared thathe had never felt more solidarity with @AnnCoulter than I do right now.

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Symmetries Reveal Clues About the Holographic Universe – WIRED

Weve known about gravity since Newtons apocryphal encounter with the apple, but were still struggling to make sense of it. While the other three forces of nature are all due to the activity of quantum fields, our best theory of gravity describes it as bent spacetime. For decades, physicists have tried to use quantum field theories to describe gravity, but those efforts are incomplete at best.

One of the most promising of those efforts treats gravity as something like a holograma three-dimensional effect that pops out of a flat, two-dimensional surface. Currently, the only concrete example of such a theory is the AdS/CFT correspondence, in which a particular type of quantum field theory, called a conformal field theory (CFT), gives rise to gravity in so-called anti-de Sitter (AdS) space. In the bizarre curves of AdS space, a finite boundary can encapsulate an infinite world. Juan Maldacena, the theorys discoverer, has called it a universe in a bottle.

But our universe isnt a bottle. Our universe is (largely) flat. Any bottle that would contain our flat universe would have to be infinitely far away in space and time. Physicists call this cosmic capsule the celestial sphere.

Physicists want to determine the rules for a CFT that can give rise to gravity in a world without the curves of AdS space. Theyre looking for a CFT for flat spacea celestial CFT.

The celestial CFT would be even more ambitious than the corresponding theory in AdS/CFT. Since it lives on a sphere of infinite radius, concepts of space and time break down. As a consequence, the CFT wouldnt depend on space and time; instead, it could explain how space and time come to be.

Recent research results have given physicists hope that theyre on the right track. These results use fundamental symmetries to constrain what this CFT might look like. Researchers have discovered a surprising set of mathematical relationships between these symmetriesrelationships that have appeared before in certain string theories, leading some to wonder if the connection is more than coincidence.

Theres a very large, amazing animal out here, said Nima Arkani-Hamed, a theoretical physicist at the Institute for Advanced Study in Princeton, New Jersey. The thing were going to find is going to be pretty mind-blowing, hopefully.

Symmetries on the Sphere

Perhaps the primary way that physicists probe the fundamental forces of nature is by blasting particles together to see what happens. The technical term for this is scattering. At facilities such as the Large Hadron Collider, particles fly in from distant points, interact, then fly out to the detectors in whatever transformed state has been dictated by quantum forces.

If the interaction is governed by any of the three forces other than gravity, physicists can in principle calculate the results of these scattering problems using quantum field theory. But what many physicists really want to learn about is gravity.

Luckily, Steven Weinberg showed in the 1960s that certain quantum gravitational scattering problemsones that involve low-energy gravitonscan be calculated. In this low-energy limit, weve nailed the behavior, said Monica Pate of Harvard University. Quantum gravity reproduces the predictions of general relativity. Celestial holographers like Pate and Sabrina Pasterski of Princeton University are using these low-energy scattering problems as the starting point to determine some of the rules the hypothetical celestial CFT must obey.

They do this by looking for symmetries. In a scattering problem, physicists calculate the products of scatteringthe scattering amplitudesand what they should look like when they hit the detectors. After calculating these amplitudes, researchers look for patterns the particles make on the detector, which correspond to rules or symmetries the scattering process must obey. The symmetries demand that if you apply certain transformations to the detector, the outcome of a scattering event should remain unchanged.

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String theory fuzzballs resolve famous black hole paradox – Advanced Science News

Scientists have turned to string theory to better understand black holes, proposing they can be modeled as "fuzzballs" made up of interacting strings.

Black holes are among the most mysterious objects in the universe. For more than a century, physicists have used Einsteins theory of general relativity to describe them, treating gravity as a deformation of spacetime created by the energy and momentum of particles and fields.

In this theory, a black hole, is considered an infinitely dense point called a singularity, which is surrounded by a spherical surface known as an event horizon or just a horizon for short with empty space existing between them. The gravity in the region beneath the horizon is so strong that no particles or waves can escape it and are doomed to fall into the singularity.

In this theory, black holes are characterized by only three parameters: mass, electric charge, and angular momentum encoding its rotational properties. However, this contradicts a quantum mechanical principle called a unitarity of time evolution, which states that the information must not be lost during the time development of a physical system.

Black holes are formed from huge amounts of matter consisting of an enormous number of particles that each have their own set of physical parameters. If the classical description of black holes is correct, then the information about the matter used to create them has definitely been lost given the simplicity of the that description implied by the no hair theorem. This is known as the black hole information loss paradox.

A group of American physicists led by Samir Mathur from Ohio State University has sought to resolve the paradox in a new paper published in the Turkish Journal of Physics. They propose replacing the convenient general relativistic picture of black holes as empty space with all its mass located in its center, with a ball-shaped mess of interacting strings called fuzzballs.

These hypothetical objects have neither a horizon nor a singularity, and sizes similar to those of same-mass black holes. This concept of a black hole fuzzball is based on string theory, a modern theory whose central postulate is that elementary particles, which are often considered as being point-like, are actually tiny vibrating strings with different oscillation modes that correspond to different types of particles. These string theory fuzzballs are characterized not by three numbers, but by a huge number of parameters composed of all the strings they are made up of, resolving the information loss paradox.

Black hole fuzzballs also help rectify another paradox in black hole physics. In the 1970s, Stephen Hawking analyzed the electromagnetic field in the vicinity of a horizon and predicted that black holes radiate photons in a similar way as heated bodies, such as stars or pieces of burning coal.

The mechanism of this hypothetical radiation emitted by a black hole results from the creation of photons in the vacuum outside its horizon due to quantum effects. Some of these particles cross the horizon and fall to the singularity, whereas others manage to escape the black holes gravitational field and travel away. In principle, they can be observed in the same way we see the light emitted by the Sun and other hot bodies. This radiation is known as Hawking radiation and has yet to be detected as its energy is so low that it exceeds the sensitivity of current instruments.

The difference between Hawking radiation from black holes and electromagnetic wave emissions from heated bodies like stars, for example, is that in the latter, the photons are generated by interacting elementary particles, and not in the vacuum.

Because of this peculiarity in how black hole radiation is generated, the photons emitted during a black holes lifespan, would have an entropy that is too large for the process to be consistent with the general principles of quantum mechanics, which demand this entropy to be smaller than the entropy of the black hole.

In order to solve this paradox, physicists have considered something called a wormhole paradigm, which, requires that both the photons that escape the black holes gravitational field as well as particles that fall into it should be considered when accounting for entropy. If one defines the Hawking radiation as a union of these two sets of particles, then the quantum mechanical correlations between them reduces the entropy of the black holes radiation, resolving the paradox.

But the Ohio State researchers analysis suggests that all realizations of this paradigm lead either to non-physical, larger-than-one probabilities of certain phenomena the aforementioned violation of unitarity or to a violation of the original Hawking proposal that black holes radiate like heated bodies. Instead, Mathur and his colleagues found these issues dont arise if black holes are considered not as objects with a singularity and a horizon, but as string theory fuzzballs with radiation produced by the interacting strings.

While the theory might work on paper, detecting this low-energy radiation is another challenge. It has been predicted that the interaction between the black holes gravitational waves and the fuzzballs surface would leave an imprint in its spectrum. Many scientists hope to be able to register such a subtle change with next generation Earth-based and space-based gravitational observatories, allowing them to determine if the fuzzballs are real or not.

Reference: Bin Guo, et al., Contrasting the fuzzball and wormhole paradigms for black holes, Turkish Journal of Physics (2021), arXiv:2111.05295

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Quantum eMotion Appoints High-Tech Business Expert to Its Board of Directors – StreetInsider.com

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Montreal, Quebec--(Newsfile Corp. - February 14, 2022) - Quantum eMotion Corp. (TSXV: QNC) (OTCQB: QNCCF) (FSE: 34Q)("QeM" or the "Company") announces the appointment of Tullio Panarello, to its Board of Directors. The appointment of M. Panarello will continue to strengthen the Board, which will comprise 5 directors, 4 of whom are now independent. Tullio replaces Marc Rousseau, who will remain CFO and secretary of the corporation while Larry Moore will continue to serve as Chairman of the Board. Tullio Panarello will be receiving a grant of 500,000 options for his service as a Board director.

Tullio brings a wealth of expertise to this role, having served in several senior leadership capacities over the past 25 years in many High-Tech companies from the telecom, military, semiconductor, space, and sensor industries. His technical and market knowledge extends to the fields of lasers, optics, semiconductors, and quantum-based technologies.

"We are pleased to welcome Tullio Panarello to the Quantum eMotion Board," commented Francis Bellido, CEO of QeM. "Tullio's deep experience in high-technology global businesses and his strong technical expertise (20 Granted Patents) will be invaluable to QeM as we grow our business and pursue our mission to become a significant player in Cybersecurity."

Tullio is currently Vice President and General Manager at Smiths Interconnect, Montreal, Quebec which acquired ReflexPhotonics, the company where he occupied the position of Executive President. Earlier in his career he worked as Business Development Manager for PerkinElmer Canada before co-founding PyroPhotonics Lasers Inc, a company specialized in pulsed laser technology for material processing applications, of which he became CEO until he sold it to Electro Scientific Industries (ESI). At ESI, he occupied the position of Divisional General Manager for the Laser Business Division.

Tullio has been a member of Genia Photonics Board of Directors and is currently Chairman of the Board of Aeponyx Inc.

He holds a B.Sc. in Physics from Concordia University, Montreal, a MEng in Engineering Physics from McMaster University, Hamilton and an MBA from Queen's University, Kingston.

About QeM

The Company's mission is to address the growing demand for affordable hardware security for connected devices. The patented solution for a Quantum Random Number Generator exploits the built-in unpredictability of quantum mechanics and promises to provide enhanced security for protecting high value assets and critical systems.

The Company intends to target the highly valued Financial Services, Blockchain Applications, Cloud-Based IT Security Infrastructure, Classified Government Networks and Communication Systems, Secure Device Keying (IOT, Automotive, Consumer Electronics) and Quantum Cryptography.

For further information, please contact:

Francis Bellido, Chief Executive OfficerTel: 514.956.2525Email : info@quantumemotion.comWebsite : http://www.quantumemotion.com

Neither TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release.

This press release may contain forward-looking statements that are subject to known and unknown risks and uncertainties that could cause actual results to vary materially from targeted results. Such risks and uncertainties include those described in the Corporation's periodic reports including the annual report or in the filings made by Quantum from time to time with securities regulatory authorities.

To view the source version of this press release, please visit https://www.newsfilecorp.com/release/113651

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The Creation of the Arcade Game Centipede – IEEE Spectrum

Following somewhat in Messmer's footsteps, French president Emmanuel Macron announced a plan earlier this month to build at least six new reactors to help the country decarbonize by 2050.

At first glance, theres little life to be found in the nuclear sectors of Frances neighbors. Germanys coalition government is today forging ahead with a publicly popular plan to shutter the countrys remaining nuclear reactors by the end of 2022. The current Belgian government plans to shut down its remaining reactors by 2025. Switzerland is doing the same, albeit with a hazy timetable. Spain plans to start phasing out in 2027. Italy hasnt hosted nuclear power at all since 1990.

France can claim a qualified victory: Under current EU guidelines, at least some nuclear power will be categorized as green.

Some of these antinuclear forces have recently found a sparring ground with France in drafting the EUs sustainable finance taxonomy, which delineates particular energy sources as green. The taxonomy sets incentives for investment in green technologies, instead of setting hard policy, but its an important benchmark.

A lot of investorstheyre not experts in this topic, and theyre trying to understand: Whats really sustainable, and what is greenwashing? says Darragh Conway, a climate policy expert at Climate Focus in Amsterdam. And I think a lot of them will look to official standards that have been adopted, such as the EUs taxonomy.

France, naturally, backed nuclear powers greenness. Scientists from the EU Joint Research Centre agreed, reporting that nuclear power doesnt cause undue environmental harm, despite the need to store nuclear waste.

The report was quickly blasted by ministers from five countries, including Germany and Spain, who argued that including nuclear power in the taxonomy would permanently damage its integrity, credibility and therefore its usefulness.

But the pronuclear side can claim a qualified victory: As of now, at least, some nuclear power is slated to receive the label.

(So, incidentally, will natural gas, which the current German government actually favored.)

This row over green finance obscures an unfortunate reality: Its uncertain how the power once generated by fission will be made up if plants go offline. The obvious answer might be solar and wind. After all, the cost of renewables continues to plummet. But to decarbonize Europes grid in short order, the renewable requirements are already steep, and removing nuclear energy from the picture makes it even harder to match that curve.

Even in the most ambitious scenarios but the most ambitious countries, it is an incredible undertaking to try to deploy that much in terms of renewables to meet the climate goals, says Adam Stein, a nuclear policy expert at the Breakthrough Institute. It's possible for some countries to succeed, he says, but that would likely involve them buying an outsized share of the worlds supply of renewable energy infrastructure, threatening to prevent other countries from reaching their goals.

This reality has come to the forefront as gas prices spiked over Europes past winter. France continued to export its nuclear power as supplies of politically sensitive Russian natural gas ran thinner. Unlike the concrete in reactor shielding, public opinion isnt set, and indications are that rising energy costs are softening attitudes to atoms, at least in Germany.

And other countries are charting new nuclear courses. Poland has begun forging ahead with French-backed plans to build a half dozen nuclear reactors by 2043. In October, Romania adopted a plan to double its nuclear capacity by 2031. Closer to the Atlantic, in December, a new Dutch coalition government stated its ambition to build two new nuclear power plants, declaring them a necessity to meet climate targets that arent falling any further away.

Its entirely possible that the picture might change as solar and wind costs continue to fall and as renewables expand. After all, in sharp contrast to those two, the average price of nuclear electricity had actually nudged upward by 26 percent between 2010 and 2019.

Whether nuclear is more cost effective than renewables, it does differ per country, says Conway. In a lot of countries, nuclear is already more expensive than renewables.

But Stein says that the idea of looking at nuclear as a bottleneck for renewables is flawedwhen the real target should be to reduce reliance on fossil fuels. We need every clean energy source, building as much as they can, as fast as they can. Its not one versus the other, he says.

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Leibniz and the Miracle Creed Behind Modern Physics | Jeffrey K. McDonough – IAI

Part philosophical, part scientific, Leibniz believed that our world - "the best of all possible worlds" - must be governed by what is known as the Principle of Optimality. This seemingly outlandish idea proved surprisingly powerful and led to one of the most profound ideas in theoretical physics. Jeffrey K. McDonough tells the story.

The great German polymath Gottfried Wilhelm Leibniz famously insisted that ours is the best of all possible worlds. The claim that our world couldnt possibly be better has never been very plausible. It was hard to believe when Leibniz made it in the seventeenth century on the heels of the horrific Thirty Years War. It didnt seem any more likely when Voltaire heaped ridicule upon it following the Lisbon Earthquake of 1755. And, of course, it will probably not find many adherents today as we trudge along under the weight of a global pandemic, political uncertainty, and an environment on the verge of collapse. Leibnizs thought that ours is the best of all possible worlds is, in short, incredible. Incredible or not, however, Leibnizs implausible idea lies at the heart of one of the most profound, most successful, most tantalizing developments in the theoretical physics. Call it the story of Leibnizs Principle of Optimality.

The roots of Leibnizs principle reach back to at least Heron of Alexandrias discovery of the optical law of reflection and to ancient thinking about optimizing territories and storage containers. The story of Leibnizs principle begins in earnest, however, with a controversy that erupted between two of the finest mathematicians of the early modern era, Ren Descartes and Pierre de Fermat. Descartes was the first to publish the optical law of refraction in essentially the form we accept today. Many at the time, however, doubted his mechanistic demonstration of the law, which involved drawing clever analogies to the behavior of tennis balls and rackets. Seeking a more rigorous derivation, Fermat showed how both the optical law of reflection and the optical law of refraction could be derived from a quickest path principle: in a standard set of cases, a ray of light will take the quickest path from, say, a lamp to an eye regardless of how it is reflected or refracted.

As was typical of the era, Fermat and the followers of Descartes managed to snatch bitter controversy from clear progress. Fermat claimed that Descartes had never proved the law of refraction and insinuated that he had stolen his results from the Dutch astronomer Willebrord Snell. Cartesians insisted that Fermats derivation was technically flawed and was at any rate a regression from mechanistic ideals. Leibniz stepped into this controversy with a remarkable paper published in 1682. The paper aimed to show that Descartess mechanistic approach to the laws of optics and Fermats optimization approach could be reconciled. Leibniz sided with Descartes on some technical points and agreed that a mechanistic explanation of the laws of optics could be given. Nonetheless, he also embraced the spirit of Fermats proposal, showing how the laws of optics could be derived from optimal an easiest path principle and applied to an even greater variety of cases than Fermat had considered. The paper was a multifaceted breakthrough that showed how optimization methods could be reconciled with mechanistic explanations, how such methods could be married to Leibnizs powerful new infinitesimal calculus, and perhaps most profoundly that optimization principles neednt be restricted to kinematic notions such as distance and time but could be extended to dynamic notions such as ease, work, and energy.

___

In the notion of an optimal form, Leibniz found a rigorous model for his thesis that this is the best of all possible worlds.

___

In a series of papers written over the next decade and half, Leibniz and his cohort extended his optimization approach to other cases of natural phenomena by showing how they too could be viewed as instances of optimal form. One such case concerns the shape of a freely hanging chain suspended at two ends:

Such a chain can be thought of as an optimal form that, in contemporary terms, minimizes potential energy, that is, the energy a system has in virtue of its position. As an optimal form, it has two remarkable properties. First, while the chain as a whole minimizes overall potential energy, it does not minimize the potential energy of every part. We can, for example, lower the potential energy of the middle link by pulling down on it. Doing so, however, must come the expense of raising the other links in such a way that the overall potential energy of the string is increased.

Second, since the hanging chain is an optimal form, it must be the case that every subsection of the chain is also an optimal form. In fact, we can see this by reasoning alone. Suppose that figure ACDB represents a chain that minimizes potential energy, and that CD is a segment of ACDB.

If the segment CD did not minimize its potential energy if it were not itself an optimal form it could be replaced by a different segment with less potential energy so that the chain as a whole would have less than its minimal potential energy an absurdity! On pain of contradiction, any subsection of an optimal form must itself be an optimal form.

In the notion of an optimal form, Leibniz found a rigorous model for his thesis that this is the best of all possible worlds. The world as a whole is analogous to the chain as a whole. Just as the chain as a whole minimizes overall potential energy, the world as a whole maximizes overall goodness (or minimizes overall badness). That doesnt mean that individual aspects of the world couldnt be better. Judas would have been better if he hadnt betrayed Christ. But any such local improvement according to Leibniz would have to be more than counterbalanced by negative consequences. If Judas hadnt sinned, Judas would have been better, but the world as a whole would have been worse, just as pulling down on the middle link of the chain would decrease the potential energy of that middle link but only at the cost of increasing the potential energy of the other links.

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The development of physics since Leibnizs time has largely vindicated his audacious conjecture.

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Its surprising that Leibniz was able to draw deep connections between his seemingly fantastic view that this is the best of all possible worlds and his concrete scientific discoveries. The real twist in the story of Leibnizs Principle of Optimality, however, played out only after his death. On the basis of some philosophical assumptions and a handful of technical cases, Leibniz had audaciously conjectured that it should be possible to explain all natural phenomena in terms of optimization principles. Even more surprising than the connections between Leibnizs philosophical theology and his scientific studies is the fact that the development of physics since Leibnizs time has largely vindicated his audacious conjecture concerning the scope of optimality principles.

Eighteen years old when Leibniz died, Pierre Louis Maupertuis cut his teeth as a scientist by applying Leibnizs calculus to Newtonian mechanics. He rose to international prominence, however, with a swashbuckling account of his scientific expedition to Lapland, an account that mixed exact science with tales of bitter cold, reindeer, and local women. He was poised to assume the presidency of the Royal Prussian Academy of Science, when he published a paper that echoed the results and methods of Leibnizs early 1682 optics paper. Two years later, he published a second paper in which he formally announced his Principle of Least Action, according to which in Nature, the action necessary for change is the smallest possible. As the leader of one of the great scientific societies of the era, Maupertuis had just thrown the prestige of his presidency and the weight of the Royal Prussian Academy of Science behind a version of Leibnizs bold hypothesis that all natural phenomena could be explained in terms of optimization principles.

Once again, however, the march of science got bogged down in the mire of petty controversy. Samuel Knig, a mathematician and student of Leibnizs philosophy, publicly accused Maupertuis of plagiarizing Leibniz. Leonard Euler rose to his presidents defense. Voltaire poison pen in hand countered on behalf of Knig. The debate that ensued did little to resolve the issue and no doubt contributed to the deterioration of Maupertuiss health. It did have one good result, however. The controversy catalyzed Euler the greatest mathematician and physicist of his time to formulate a rigorous version of the Principle of Least Action and to apply it to cases that were beyond Maupertuiss impressive but merely mortal abilities. Remarkably, Euler came to hold essentially the same opinion as Leibniz. He concluded that all natural effects follow some law of maximum or minimum that is some principle of optimization so that nothing whatsoever takes place in the universe in which some relation of maximum and minimum does not appear.

In the years that followed Eulers pioneering efforts, other luminaries of the age of rational mechanics continued to develope optimization principles and confirm their essentially universal applicability. The French-Italian mathematician and astronomer, Joseph-Louis Lagrange generalized Eulers results, showing how optimization principles could be derived from principles of virtual work as well as from Newtons laws. With Lagrange we finally get the general principle that for each particle in a conservative system the particles action taken from its initial position to its final position is optimal. A few decades later, the great Irish mathematician, William Rowan Hamilton who had already made important contributions to the study of optics further generalized Lagranges pioneering work. Hamiltons generalized version of the Principle of Least Action is applicable not only to the cases considered by Lagrange but to non-conservative systems as well.

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It was applied to specific problems in the 17th century, generalized in the 18th and 19th centuries, confirmed in the 20th century, and remains at the foundations of our best physical theories today.

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Today, least action principles are expressed in what is known as Lagrangian formulation, and it is accepted that for any physical system one can uniquely specify a function, called the Lagrangian, that is determined by the nature of the system as a whole. Given a Lagrangian, one can (in principle) determine the actual sequence of a systems states by considering all its possible states and identifying that sequence of states that optimizes its action. The Lagrangian of a system applies, in one form or another, to all current physical theories including general and special relativity, quantum mechanics, and even string theory. Reflecting in the mid-twentieth century on the more or less general laws which mark the achievements of physical science during the course of the last centuries, the founder of quantum mechanics, Max Plank, concluded that the principle of least action is perhaps that which, as regards form and content, may claim to come nearest to that ideal final aim of theoretical research.

In an article written five years before his death, Albert Einstein proposed that every theoretical physicist is a kind of tamed metaphysicist. The philosopher and physicist alike must believe that the totality of all sensory experience can be comprehended on the basis of a conceptual system built on premises of great simplicity. They must have faith that the world is governed by a hidden, simple order. The skeptic, Einstein suggested will say that this is a miracle creed. And, Einstein acknowledged, shell be right. Nonetheless, while the miracle creeds of philosophers and physicists must, by definition, outstrip all empirical evidence while they must be audacious many have, as Einstein put it, been borne out to an amazing extent by the development of science.

Leibnizs principle of optimality is perhaps the most miraculous of all miracle creeds. Rooted in an implausible conviction that this is the best of all possible worlds, it was applied to specific problems in the seventeenth century, generalized in the eighteenth and nineteenth centuries, confirmed in the twentieth century, and remains at the foundations of our best physical theories today. Leibnizs principle of optimality is no doubt a miracle creed worthy of the sceptics incredulous stare. It implies that for all the worlds faults, there is a sense in which it and its parts are indeed optimal. And it shows that even an implausible idea, born of faith and hope, might bear long term, concrete results. In a world currently beaten down by disease, uncertainty, and conflict, Leibnizs Principle of Optimality has somehow triumphed, a small victory for optimism in a pessimistic time.

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Leibniz and the Miracle Creed Behind Modern Physics | Jeffrey K. McDonough - IAI

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Bin Yu

I'm Bin Yu, the head of the Yu Group at Berkeley, which consists of 15-20 students and postdocs from Statistics and EECS. I was formally trained as a statistician, but my research interests and achievements extend beyond the realm of statistics. Together with my group, my work has leveraged new computational developments to solve important scientific problems by combining novel statistical machine learning approaches with the domain expertise of my many collaborators in neuroscience, genomics and precision medicine. We also develop relevant theory to understand random forests and deep learning for insight into and guidance for practice.

We have developed the PCS framework for veridical data science (or responsible, reliable, and transparent data analysis and decision-making). PCS stands for predictability, computability and stability, and it unifies, streamlines, and expands on ideas and best practices of machine learning and statistics.

In order to augment empirical evidence for decision-making, we are investigating statistical machine learning methods/algorithms (and associated statistical inference problems) such as dictionary learning, non-negative matrix factorization (NMF), EM and deep learning (CNNs and LSTMs), and heterogeneous effect estimation in randomized experiments (X-learner). Our recent algorithms include staNMF for unsupervised learning, iterative Random Forests (iRF) and signed iRF (s-iRF) for discovering predictive and stable high-order interactions in supervised learning, contextual decomposition (CD) and aggregated contextual decomposition (ACD) for interpretation of Deep Neural Networks (DNNs).

Stability expanded, in reality. Harvard Data Science Review (HDSR), 2020.

Data science process: one culture. JASA, 2020.

Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist, Nature Medicine, 2020.

Veridical data science (PCS framework), PNAS, 2020 (QnAs with Bin Yu)

Breiman Lecture (video) at NeurIPS "Veridical data Science" (PCS framework and iRF), 2019; updated slides, 2020

Definitions, methods and applications in interpretable machine learning, PNAS, 2019

Data wisdom for data science (blog), 2015

IMS Presidential Address "Let us own data science", IMS Bulletin, 2014

Stability, Bernoulli, 2013

Embracing statistical challenges in the IT age, Technometrics, 2007

Honorary Doctorate, University of Lausanne (UNIL) (Faculty of Business and Economics), June 4, 2021 (Interview of Bin Yu by journalist Nathalie Randin, with an introduction by Dean Jean-Philippe Bonardi of UNIL in French (English translation))

CDSS news on our PCS framework: "A better framework for more robust, trustworthy data science", Oct. 2020

UC Berkeley to lead $10M NSF/Simons Foundation program to investigate theoretical underpinnings of deep learning, Aug. 25, 2020

Curating COVID-19 data repository and forecasting county-level death counts in the US, 2020

Interviewed by PBS Nova about AlphaZero, 2018

Mapping a cell's destiny, 2016

Seeking Data Wisdom, 2015

Member, National Academy of Sciences, 2014

Fellow, American Academy of Arts and Sciences, 2013

One of the 50 best inventions of 2011 by Time Magazine, 2011

The Economist Article, 2011

ScienceMatters @ Berkeley. Dealing with Cloudy Data, 2004

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Bin Yu

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