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Quantum Related U.S.-India Collaboration Announcements at the G20 Summit in India – Quantum Computing Report

A few quantum related announcements came out last week at the G20 Summit in New Dehli, India. First, the U.S. and India have agreed to elevate and expand the U.S.-India initiative on Critical and Emerging Technology (iCET) originally signed in May 2022. There will be increased cooperation in a number of areas and a new Implementation Arrangement for a Research Agency Partnership between the National Science Foundation and Indian science agencies will include quantum technology as one of the areas of cooperation. In addition, a joint Indo-U.S. Quantum Coordination Mechanism will be established to facilitate research and industry collaborations with industry, academia, and government organizations. Additional information can be found in a Joint Statement from India and the United States and a fact sheet titled UnitedStates and India Elevate Strategic Partnership with the initiative on Critical and Emerging Technology(iCET).

A second announcement was made by the Chicago Quantum Exchange (CQE) stating that the Indian Institute of Technology Bombay (IIT Bombay) has joined the CQE as an international partner. Membership in the CQE will not only help facilitate research collaboration between ITT Bombay and other members of the CQE, but it will also help in developing a trained talent pool to help accelerate quantum technology progress in the future. A press release announcing ITT Bombay becoming a new member of the CQE is posted on the University of Chicago website here.

Finally, Indias S.N. Bose National Centre for Basic Sciences, Kolkata has been accepted as a member of the Quantum Economic Development Consortium (QED-C). The Quantum Economic Development Consortium (QED-C) is a consortium of stakeholders that aims to enable and grow the quantum industry. Originally, membership was limited to U.S. companies only, but the QED-C has now opened up membership to organizations in select countries. Membership to India based organizations was just opened in June of this year.

September 10, 2023

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AI and quantum computing could transform the protection gap … – Intelligent Insurer

Fundamentally, the cost of producing insurance products remains too highbut this could be transformed by evolving technologies, including generative artificial intelligence (gen-AI) and quantum computing. This will in the long term allow the industry to automate activities that today require human intervention, look at a significant amount of data and derive conclusions, and consequently to assess and price risk better. All this could help the industry in closing the protection gap.

This is the view of Moses Ojeisekhoba (pictured), chief executive officer of Global Clients and Solutions at Swiss Re. An advocate for embracing new technology, he told Intelligent Insurer that gen-AI and quantum computing are very much evolvingand they have the potential to transform parts of the industry.

He added that it will be important to build understanding and trust around such technologies. Digital trust is super-important. You can build it and hope they will come, but sometimes you build it, and nobody comes. The main difference between those two outcomes is trust.

More technology can support greater resilience in society, Ojeisekhoba says, and it can also play a key role in narrowing the protection gap in certain areas.

Our vision is to make the world more resilient. Moses Ojeisekhoba, Swiss ReSome of the biggest reasons for the protection gap can be addressed through advancements in technology. Things such as access, affordability, product designthese are all areas where the application of technology allows you to design products in a completely different way, he explains.

Such developments could make insurance much more affordable and enable insurers to reach people in a different way, addressing the issue of accessibility, he adds.

Quantum computing, for example, once fully operational, is expected to enable re/insurers to use the full spectrum and volume of data that is available today and in the future. This will allow re/insurers to derive much more accurate solutions, he says.

Almost everything we interact with has dataset capture in one form or another. Quantum computing will significantly advance the ability to synthesise this data so that you can build scenarios to determine the right pricing.

This will make the product better priced and much more affordable, somewhere down the road. It is not going to come tomorrow but we can clearly see the paths.

Such improvements will allow the industry to address things such as contract certainty where theres been leakage over time, in first party as well as in third party coverage.

Generative AI allows you to apply it to digital contracts and address the topic of leakage, Ojeisekhoba adds.

Swiss Re is investing significantly in gen-AI and is making sure that the reinsurer acquires the right datasets, he says. We are early adopters of this advancement and trying to find a way to ensure that we can improve the product set that we make available to our customers.

These developments are timely in todays challenging world, although Ojeisekhoba believes the re/insurance industry has proved its resilience in the face of adversity.

If you take whats been thrown at the industrywhether its a natural catastrophe, or macroeconomic challenges, geopolitics or broader socioeconomic issuesso far, the reinsurance industry has been resilient. We work extremely hard to ensure that we can anticipate some of the headwinds to ensure that our resilience continues to be in place, he says.

Such testing conditions have brought tailwinds in the form of a much greater public and client understanding of the need for more re/insurance cover. This has pushed up demand. Meanwhile, interest rate rises have bolstered investment yields, strengthening net income as well as the overall balance sheet.

A strategy of resilience

Addressing the needs of clients and partners in the context of the protection gap sits at the heart of Swiss Res strategic framework, says Ojeisekhoba.

Its not just about risk transfer, its also about understanding the risk.When we look at the broader environment, our vision is to make the world more resilient. To do that we need to address the protection gap and ensure that theres enough cover for people who need it.

That means helping clients grow their businesses, and address growth- and profitability-related issues, often driven by the need to transfer risk or for greater risk insight.

We are focused on making sure that we have the strength of balance sheet to provide capacity to our clients, and to ensure that the intellectual property we generate, combined with our technology, can be extended to our clients. We want them to have resilience in their respective businesses, Ojeisekhoba explains.

Swiss Re applies this strategy across the entire insurance value chain. Its not just about risk transfer, its also about understanding the risk. For partners, its one of the main reasons for our existence. Thats a significant part of what we do in terms of our relationships with our clients, he says.

Weve spent a significant amount of resources, financial and otherwise, trying to understand risk better and build assets that allow us to deal with the risk.

This work goes beyond traditional risk transfer to provide insights, as well as risk partnerships, which Ojeisekhoba refers to as the other two legs of overall strategy at Swiss Re.

As an example, he points to property insurance and natural catastrophes, where clients have questions for their customers that include: Are they building in the right places? Do they understand their risks when they build? If a loss occurs, How do they assess that damage relatively quickly?.

Swiss Re provides insurance capacity for nat cat on a global basis, and it continues to grow the capacity that it deploys globally, but what Swiss Re offers its clients goes beyond capacity, Ojeisekhoba says.

He says that Swiss Re has assets, for example its web-based natural hazard analysis and mapping tool, CatNet, that it provides to clients for any particular risks they may have.

They lock the location of that risk in and CatNet gives them geospatial information that tells them the risks that exist, and allows them to understand how they should underwrite that risk and how to price it.

If a loss occurs, the reinsurer can deploy rapid damage assessment capabilities, which include drone, satellite and plane support that can map the area of damage relatively quickly.

It helps our clients very quickly determine where they should send a loss adjuster, as well as the degree of damage incurred at individual risk and portfolio level.

These types of risk insights are part of the overall value chain, Ojeisekhoba says, adding: We are not just providing capacity and paying claims, we do so much more.

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Quantum Computing. Unleashing the Power of the Unseen | by … – Medium

Photo by ThisisEngineering RAEng on Unsplash

In the realm of technology, a groundbreaking revolution is quietly unfoldingone that promises to shatter the limits of classical computing. Quantum computing, often hailed as the "future of computation," is poised to transform the way we solve complex problems and usher in a new era of innovation. This article dives into the fascinating world of quantum computing, exploring what it is, how it works, and the remarkable impact it's set to have on our digital landscape.

The Quantum Puzzle: What Is Quantum Computing?

Imagine a computer so powerful that it can perform calculations at speeds that boggle the mind, making even the most advanced supercomputers seem sluggish in comparison. Quantum computing harnesses the principles of quantum mechanics, allowing it to process information in ways that classical computers can only dream of.

Quantum Bits (Qubits): The Heart of the Matter

At the core of quantum computing are qubits, the quantum equivalent of classical bits. Unlike classical bits, which can only exist in states of 0 or 1, qubits can exist in multiple states simultaneouslya phenomenon known as superposition. This property enables quantum computers to explore multiple solutions to complex problems at once.

The Quantum Dance: Entanglement and Quantum Gates

Another mind-bending concept in quantum computing is entanglement. When two qubits become entangled, the state of one instantly affects the state of the other, regardless of the distance between them. This property, combined with quantum gates that manipulate qubits, forms the basis of quantum algorithms.

Real-Life Example: Google's 2019 claim of achieving "quantum supremacy" marked a significant milestone. Its 53-qubit quantum computer solved a complex problem in minutes that would take the most powerful classical supercomputer thousands of years.

Applications Beyond Imagination

The potential applications of quantum computing are vast and awe-inspiring. From revolutionizing cryptography to supercharging drug discovery, quantum computing holds the key to solving problems that were once considered insurmountable.

The Road Ahead: Challenges and Excitement

While the promise of quantum computing is undeniable, there are formidable challenges to overcome, including error correction and scaling up quantum systems. Yet, researchers and innovators are forging ahead, driven by the excitement of what lies on the quantum horizon.

Conclusion: A Quantum Leap into the Future

As we peer into the fascinating world of quantum computing, one thing becomes clear: we are on the cusp of a technological revolution that will redefine the boundaries of what is possible. Quantum computing promises to solve problems that were once considered intractable and accelerate progress in fields ranging from artificial intelligence to materials science.

So, brace yourself for a quantum leap into the future. The era of quantum computing is upon us, and the possibilities are as boundless as the quantum realm itself. As researchers and dreamers continue to unravel the mysteries of this extraordinary technology, we're in for a thrilling journey into uncharted territorya journey that promises to shape the destiny of technology and innovation for generations to come.

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Professor Michelle Simmons AO to deliver the 2023 Boyer Lectures – About the ABC

The ABC has announced Professor Michelle Simmons AO FRS FAA FRSN FTSE will deliver the 2023 Boyer Lecture series.

Professor Simmons series of four lectures with the overarching theme, The Atomic Revolution, will explore quantum physics, manufacturing at the atomic scale, women in science, and why Australia is perfectly positioned to build the worlds first error corrected quantum computer.

Professor Simmons is the CEO of Silicon Quantum Computing and the Director at the Centre of Excellence for Quantum Computation and Communication Technology at the University of New South Wales. She was the inaugural Editor-in-Chief of Nature Quantum Information.

Professor Simmons is a pioneer in atomic electronics and a global leader in quantum computing. Her achievements include developing the worlds first single-atom transistor, the worlds narrowest conducting wires, the ability to encode and read information on single atoms and the world s first integrated circuit made with atomic precision.

Professor Simmons believes we are in the midst of the space race of the computing era. Along with her team, she is aiming to build a quantum computer capable of solving complex problems that would otherwise take thousands of years in minutes. Such a computer has the potential to revolutionise drug design, weather forecasting, self-driving vehicles, artificial intelligence and more.

ABC Chair Ita Buttrose said: I am delighted that Professor Simmons will deliver this years Boyer lectures. She is an inspirational scientific leader and will discuss the revolution in atomic-scale manufacturing that is underway here in Australia, and the implications for building an Australian quantum computer.

Professor Simmons has lived in Australia since 1999. I came here in the belief that this country would be an idea place undertake audacious, big-picture technological research. I was right, she said.

About Professor Michelle Simmons

Michelle Simmons was born in London and attended the UKs Durham University, where she studied for a double degree in Physics and Chemistry (19851988). In 1992she was awarded aPhD in high efficiency solar cells. Following a successful research position at the Cavendish where she was recognised for her work on the 0.7 structure and for the study of metallic states in very pure transistors, she was awarded a QEII Fellowship in 1999 and moved to Australia, where she became a founding member of theAustralian Research CouncilCentre of Excellence for Quantum Computer Technology. She has since been awarded two Federation Fellowships and a Laureate Fellowship, the Australian Research Councils most prestigious awards of this kind.

Professor Simmons is a Fellow of the Royal Society, the American Academy of Arts and Science, the American Association of the Advancement of Science, the UK Institute of Physics, the American Physical Society, the Australian Academy of Technology and Engineering and of the Australian Academy of Science.

She has been awarded the Bakerian Medal from the Royal Society in the UK, the American Foresight Institute Feynman Prize in Nanotechnology, the George R Stibitz Computer and Communications Pioneer Award from the American Computer Museum and was named Asia Pacific 2017 LOreal-UNESCO Women in Science Laureate. She was the 2018 Australian of the Year and was appointed an Officer of the Order of Australia (AO)in 2019.

The Boyer Lecture series, named after former ABC Chairman Sir Richard Boyer, is a series of lectures from a prominent Australian invited to express their thoughts on major social, cultural, scientific or political issues. The first lecture will screen live on ABC TV and ABC iview on Thursday 19 October at 8pm. ABC RN will broadcast the four lectures weekly from Sunday 22 October at 9.30am.

For more information:

Laura Todd, ABC Communicationstodd.laura@abc.net.au

We acknowledge Aboriginal and Torres Strait Islander peoples as the First Australians and Traditional Custodians of the lands where we live, learn and work.

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UA awarded $30M for sound science research The Daily Wildcat – Arizona Daily Wildcat

The University of Arizona received a $30 million grant from the National Science Foundation to fund the UAs New Frontiers of Sound, a National Science Foundation Science and Technology Center.

This center will explore, in further depth, the study of topological acoustics, a field that lies at the intersection of condensed matter physics, mechanical structural design and acoustics engineering, according to the Nature Journal. The research done at this center will look at the geometry and landscape of sound, an unusual approach which in turn will uncover some of the extraordinary properties of sound, according to the New Frontier of Sound projects principal investigator and professor of materials science and engineering at the UA, Pierre Deymier.

The interaction with the extraordinary properties Deymier referenced will further other topics of research beyond just that of acoustics, some examples of which are biomedical and structural engineering, high speed quantum light computing and monitoring the impacts of climate change.

This elevated understanding of sound can be applied to so many facets of our everyday lives; new sensing capabilities can improve how we monitor aging, infrastructure or climate change. Enhanced telecommunications could mean better battery life in your cellphones. And as the University of Arizona is well aware, expedited computing is similar to whats happening with quantum networks, Gov. Katie Hobbs said at a Thursday press conference celebrating the center.

As Hobbs alluded, the study of topological acoustics applies to cellular technologies in a variety of ways, from lengthening battery life to increasing bandwidths.

Quite interestingly, sound serves a much more important role in the electronics of cellphones. We use sound and acoustic waves to actually filter and therefore select specific channels when we transmit or receive information. This is actually critical for all our wireless infrastructure, Andrea Al, project co-principal investigator and founding director of the advanced science research center at the City University of New York Graduate Center, said. We realize that the technologies that will extend battery life by making much more efficient processing of these acoustic signals [], and that will also realize a more efficient way of transmitting and receiving signals, [in] this way [will] extend the bandwidths. That means better data rates for the common user, that means streaming videos more reliably [].

This research also has environmental implications. The study of topological acoustics could be used as a powerful tool for sensing environmental changes and potentially predicting environmental disasters, according to Deymier.

We can develop sensing technologies that are going to be more sensitive than the current sensing technologies, and in the state of Arizona, we know with climate change we have issues with forest fires in the summer, for instance, when the ground is very dry. We will have the ability of monitoring the dryness of the ground using acoustic waves and perhaps preventing forest fires where they might occur, Deymier said.

Examining topological studies led to the discovery of analogies between sound waves and quantum mechanics, which affects the future of quantum computing. The study of acoustics requires far less stringent standards than quantum computing, making it easier for researchers in laboratories to study under normal conditions.

We can exploit these analogies between these acoustic waves and these quantum systems to perform massively parallel information processing which is analogous to what is done in quantum computing, without the drawback of quantum computing, because in quantum computing you need to have very low temperature, cryogenic temperature and very sophisticated equipment for achieving the computation, Deymier said. Acoustics is very forgiving and enables us to do a similar type of thing with less sophisticated equipment, and also very stable conditions in the laboratory as well.

Researchers leading the charge in the topological acoustics field are hopeful that it will lead to important economic developments, including the creation of more jobs and the development of new technologies.

We know the importance of acoustic microdevices for cell phones, and these are going to be manufactured and fabricated and designed by our team and eventually translated to industry, Deymier said. One of our partners is Intel Corporation, which is a very important industry in our state, and this partnership is going to help translate our inventions, innovations and technologies into products that the public can use.

As of January, Intel employs 13,000 people in Arizona, and has an economic impact of $8.6 billion, according to the company site.

We should be able to develop a number of technologies that are going to benefit the people of Arizona and benefit the economy of Arizona as well, Deymier said. But I want to make a point that our team is a national team, involving eight other universities in the nation, including on the east coast like CUNY or in [Boulder, Colorado] or in Alaska, and with these technologies we also create economic development in the entire nation.

The Center partners include California Institute of Technology, City University of New York, Georgia Institute of Technology, Spelman College, University of Alaska Fairbanks, UCLA, the University of Colorado Boulder and Wayne State University.

Student education and involvement emerged as a primary focus in the NewFOS project. Sara Chavarria, the project co-principal investigator and assistant dean of research in the University of Arizona College of Education, regarded the education and mentorship of students as a key element of topological acoustic research, and the educational programs offered through NewFOS reflect that sentiment.

NewFOS plans to offer a summer program for community college students and a year-long research experience that includes eight summer weeks in one of our institution labs, according to Chavarria.

There will also be a strong emphasis placed on mentorship.

We will take a collaborative mentoring approach so that our students will be mentored by a team of researchers, graduate students, post-docs and educators, Chavarria said. It is important for us to get mentoring right, because our students are the future researchers, educators and industry leaders of topological acoustics.

Relationships with community colleges in Tucson are a crucial component of NewFOS and a major focus of those involved is continuing to strengthen these relationships.

The thing that we fail to remember is that community college students are motivated students, talented individuals who dont often have access to STEM careers due to one reason or another, Janet Yowell, director of strategic community college STEM initiatives for the College of Engineering and Applied Science at the University of Colorado Boulder, said. Were going to reach out to those students to provide them with access to engage in the project and to learn new skills that they can [use to] enhance their STEM futures, particularly in physics and engineering. Through our community college relationships that exist currently, we will further their academic success by offering the peer-to-peer mentoring that was mentioned earlier.

While no new majors will be added in line with this field of research, Chavarria wants students to be involved in creating new curriculum to add to existing coursework.

They will also be able to participate in curriculum writing and work collaboratively with researchers on how to translate and create lessons that they want to learn and how they want to learn it, because they are going to be the translators of this new field as we grow the community, Chavarria said.

The millions in funding from the NSF will bolster this research and community engagement and reflects the influence of this burgeoning field of study.

An award like this is a testament to our states dominance in advanced technology, research and development, and we see societys biggest challenges as a chance to innovate, problem-solve and forge new horizons. This center will ensure researchers in Arizona and their collaborating institutions leverage this opportunity to embolden our state and nations position in the world, Hobbs said. Their work will write the book on this subject; the curriculum and textbooks that educators turn to will come from this center, serving as the gold standard for those wishing to work in the field, and this work will enable researchers to gain insights on information that hasnt always been accessible to us, but is critical to advancing some of todays greatest assets.

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Wearable Quantum Sensors to Measure Brain Activity While We Sleep, Move and Age, Says IDTechEx – Yahoo Finance

BOSTON, Sept. 8, 2023 /PRNewswire/ -- New quantum sensors measuring brain activity have the potential to revolutionize our understanding of how humans respond to sleep, movement, diet, and aging. More versatile and comfortable than traditional scanners, helmets incorporating highly sensitive quantum magnetic field sensors are being commercialized. In this article,IDTechEx overviews the science behind these new wearable sensors and the outlook for the technology within the wider quantum sensor market forecast to reach US$7.1 billion by 2044.

Quantum sensor market forecast. Source: IDTechEx

Superconducting Sensors Limit Applications

Brain activity generates tiny (femto-Tesla) magnetic fields. The incumbent method of measuring these signals is using superconducting quantum interference devices (SQUIDs). However, this technology requires super-cooling and, as such, is limited to integration into bulky scanners. This not only limits how close SQUIDs can be placed to the brain (compromising sensitivity) but is also uncomfortable for patients required to remain still for long periods. This causes a particular problem for young children and those with movement disabilities such as Parkinsons. It also limits researchers' ability to correlate the brain with crucially related activities such as sleep and movement.

New Quantum Sensors Can Operate at Room Temperature

Recently, a room-temperature operable alternative to the SQUID has emerged, the optically pumped magnetometer (OPM). Instead of leveraging superconductivity for high sensitivity, the spin-state of alkali vapors is used. These can be monitored using standard optical components such as lasers, vapor-cells, and photodiodes. As a result, these mm-scale devices can be placed into arrays within helmets, in closer proximity to the brain. The result is a wearable quantum sensor array that can measure brain activity with sensitivity and spatial resolution comparable with existing scanners but unlocking those applications previously inaccessible due to prohibited movement.

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New Facilities Will Manufacture Miniaturized Quantum Components

In recent years, the focus on developing scalable methods of manufacturing quantum components has increased. For example, research by Bosch, Fraunhofer, and others is also showing how MEMs manufacturing techniques can be adapted to optimize vapor-cell production further. In the future, even more devices per wafer could be produced commercially instead of small batches from pilot lines. This would add value by not only reducing the cost per OPM but also reducing sensor size and, therefore, increasing the spatial resolution achievable.

Mass-produced quantum components will be essential for the scale-up of multiple emerging technologies including quantum computing, quantum communications, and networks, as well as quantum sensing. This is prompting investment into new quantum foundries and fabrication facilities globally for optical, superconducting, and even diamond-based components. This should only serve to aid the commercialization of quantum sensors, including wearable OPMs.

Market Opportunities and Challenges

Interest in monitoring brain activity is on the rise. One reason for this is the increasing age of the population and, therefore, the prevalence of age-related conditions such as Alzheimer's and Parkinsons. Understanding the connection between brain health, activity, sleep, diet, and aging can be made significantly easier with wearable neural imaging solutions. Beyond this, epilepsy research and diagnosis, particularly for children or during fitting, would also serve to benefit from an alternative to the existing scanners. The historical use of SQUIDs within the neural imaging market shows them to be early adopters of quantum sensing technology and, as such, a key target market for OPM developers. Notable companies seeking to disrupt the medical market are Cerca Magnetics, QuSpin, and Mag4Health. In each instance, manufacturing and research partners such as VTT, CSEM and CEA Leti are also key driving forces for the commercialization of their wearable OPM devices.

Challenges for OPM adoption do, however, remain. One limitation is the requirement for use in specialized rooms that contain infrastructure to cancel out the earth's magnetic field. As a result, while OPMs are more convenient than traditional scanners their use will likely remain limited to clinical settings. As such, this technology is unlikely to find opportunity in the consumer market despite growing interest in wearable neural interfaces for AR and VR. Furthermore, without the development of a more scalable manufacturing infrastructure previously discussed, costs per sensor will remain high (typically US$5000-$10000).

Outlook and Conclusions

Optically pumped magnetometers combine the value propositions of quantum sensors and wearable technology: high sensitivity and ease of use. There are real-world applications for this technology within the neural imaging market, where helmets to measure brain activity are anticipated to see growing adoption. However, there are likely higher-volume applications for quantum technology. For example, quantum sensors are being developed to measure time, current, gravity, and rotation some of which could have applications in the automotive and consumer electronics market. Moreover, the growing quantum computing industry is also dependent on quantum sensor development for the readout of qubits millions of which are needed to create the most commercial value. All of these trends and more, alongside ten-year market forecasts, are discussed across IDTechEx's reports on quantum sensors, quantum computers, and wearable technology.

About IDTechEx

IDTechEx guides your strategic business decisions through its Research, Subscription and Consultancy products, helping you profit from emerging technologies. For more information, contact research@IDTechEx.com or visit http://www.IDTechEx.com.

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Saturday Citations: Quantum coherence; rising coal emissions; ‘more uses of snail mucus are being discovered every day’ – Phys.org

This article has been reviewed according to ScienceX's editorial process and policies. Editors have highlighted the following attributes while ensuring the content's credibility:

fact-checked

peer-reviewed publication

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by Chris Packham , Phys.org

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This first week of September, researchers reported on burned-out sharks, a method for maintaining quantum coherence and some positive market news for old-timey coal barons. Plus: Snail slime is really impressive if you look at it from a molecular standpoint.

Sharks exhausted: Everyone knows the horrific effects a great white shark inflicted on the tourists of Amity Island. But does anyone ever stop to think about how the tourists affected the shark? According to a study published in Scientific Reports, these negative impacts probably included stress and disturbed behavior patterns typified by a zig-zag swimming trajectory associated with flight from predators.

The researchers were studying a form of ecotourism in which people pay to swim with groups of sharks, the ultimate dream of anchor-pattern-jacket-wearing Amity Mayor Larry Vaughn. Sounds weird, but it's apparently a multimillion-dollar industry. The researchers suggest that tour operators should be more cognizant of shark behavior and maintaining minimum distances from the animals.

Energy filthy: Do you have a nostalgic yearning for bygone cityscapes blighted by smoke factories and buildings covered with soot? How about a nice, sun-filtering atmosphere thick with asthma-inducing lead, sulfur dioxide, nitrogen oxides and other heavy metals?

Well, hold on to your jaunty felt derby hat, because the per capita coal emissions from G20 countries are rising, right now, in the year 2023, even in the face of weather extremes and promises from governments to transition to sustainable sources of energy. Listen: Do you hear annoying Scott Joplin piano music emanating from somewhere in all the carbon haze? It's like we've stepped backward in time.

Goo versatile: Imagine that you've invented a goop gun that can apply an adhesive glue, a high-viscosity lubricant and a hydrating sunblock lotion, all from the same nozzle. Congratulations, Edison, you've been "bioinspired" by a snail's butt. Researchers at CUNY Advanced Science Research Center published a profile of the slime exuded by the Cornu aspersum snail, which has those same three utilitarian modes.

They found that of the three goo subtypes, the snail's lubricating mucus contains the lowest amount of calcium-binding proteins and its binding mucus contains the most. In a key quote from the article, chemistry and biochemistry Professor Adam Braunschwieg says, "More uses of snail mucus are being discovered every day," which is honestly a great argument in favor of government-funded research if you're arguing with your uncle at a family dinner.

Noise irritating: Nuclear spin ensembles only retain their quantum states for about 150 milliseconds before they're canceled out by noise in the form of heat and other sources. Oh, were you storing some information in that quantum system? Well, it's gone, now. Good thing you backed up your data in another nuclear spin ensembleoh, that one just decohered, too.

Noise is the enemy of quantum coherence and therefore the enemy of engineers trying to build quantum computing systems and quantum sensors. But it turns out that noise is also its own worst enemy.

Physicists at MIT now report a method to extend the period of a nuclear spin ensemble's coherence to three gargantuan milliseconds. The team characterized the heat noise affecting nuclear quadrupole interactions in a quantum system and used the same source of noise to offset itas the article suggests, their system works similarly to noise-canceling headphones.

Star yummy: Astronomers using the Neil Geherls Swift Observatory report that a sun-like star in a nearby galaxy is gradually being consumed by a small black hole. Caught in an elliptical orbit around the black hole, the star loses the equivalent mass of about three earths every time it swings close, like a hot dog on a string swinging around a beagle.

The researchers detected a bright X-ray flash emanating from nearby galaxy 2MASX J02301709+2836050, and over subsequent observations, noticed that the source would shine brightly for seven to 10 days and abruptly diminish, repeating over 25 days. All of this represents a newly discovered phenomenon one of the astronomers calls a "repeated, partial tidal disruption event," and fills in a gap in the knowledge of black hole feeding behavior.

Journal information: Scientific Reports

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Artificial intelligence technology behind ChatGPT was built in Iowa with a lot of water – The Associated Press

DES MOINES, Iowa (AP) The cost of building an artificial intelligence product like ChatGPT can be hard to measure.

But one thing Microsoft-backed OpenAI needed for its technology was plenty of water, pulled from the watershed of the Raccoon and Des Moines rivers in central Iowa to cool a powerful supercomputer as it helped teach its AI systems how to mimic human writing.

As they race to capitalize on a craze for generative AI, leading tech developers including Microsoft, OpenAI and Google have acknowledged that growing demand for their AI tools carries hefty costs, from expensive semiconductors to an increase in water consumption.

But theyre often secretive about the specifics. Few people in Iowa knew about its status as a birthplace of OpenAIs most advanced large language model, GPT-4, before a top Microsoft executive said in a speech it was literally made next to cornfields west of Des Moines.

Building a large language model requires analyzing patterns across a huge trove of human-written text. All of that computing takes a lot of electricity and generates a lot of heat. To keep it cool on hot days, data centers need to pump in water often to a cooling tower outside its warehouse-sized buildings.

In its latest environmental report, Microsoft disclosed that its global water consumption spiked 34% from 2021 to 2022 (to nearly 1.7 billion gallons, or more than 2,500 Olympic-sized swimming pools), a sharp increase compared to previous years that outside researchers tie to its AI research.

Its fair to say the majority of the growth is due to AI, including its heavy investment in generative AI and partnership with OpenAI, said Shaolei Ren, a researcher at the University of California, Riverside who has been trying to calculate the environmental impact of generative AI products such as ChatGPT.

In a paper due to be published later this year, Rens team estimates ChatGPT gulps up 500 milliliters of water (close to whats in a 16-ounce water bottle) every time you ask it a series of between 5 to 50 prompts or questions. The range varies depending on where its servers are located and the season. The estimate includes indirect water usage that the companies dont measure such as to cool power plants that supply the data centers with electricity.

Most people are not aware of the resource usage underlying ChatGPT, Ren said. If youre not aware of the resource usage, then theres no way that we can help conserve the resources.

Google reported a 20% growth in water use in the same period, which Ren also largely attributes to its AI work. Googles spike wasnt uniform -- it was steady in Oregon where its water use has attracted public attention, while doubling outside Las Vegas. It was also thirsty in Iowa, drawing more potable water to its Council Bluffs data centers than anywhere else.

In response to questions from The Associated Press, Microsoft said in a statement this week that it is investing in research to measure AIs energy and carbon footprint while working on ways to make large systems more efficient, in both training and application.

We will continue to monitor our emissions, accelerate progress while increasing our use of clean energy to power data centers, purchasing renewable energy, and other efforts to meet our sustainability goals of being carbon negative, water positive and zero waste by 2030, the companys statement said.

OpenAI echoed those comments in its own statement Friday, saying its giving considerable thought to the best use of computing power.

We recognize training large models can be energy and water-intensive and work to improve efficiencies, it said.

Microsoft made its first $1 billion investment in San Francisco-based OpenAI in 2019, more than two years before the startup introduced ChatGPT and sparked worldwide fascination with AI advancements. As part of the deal, the software giant would supply computing power needed to train the AI models.

To do at least some of that work, the two companies looked to West Des Moines, Iowa, a city of 68,000 people where Microsoft has been amassing data centers to power its cloud computing services for more than a decade. Its fourth and fifth data centers are due to open there later this year.

Theyre building them as fast as they can, said Steve Gaer, who was the citys mayor when Microsoft came to town. Gaer said the company was attracted to the citys commitment to building public infrastructure and contributed a staggering sum of money through tax payments that support that investment.

But, you know, they were pretty secretive on what theyre doing out there, he added.

Microsoft first said it was developing one of the worlds most powerful supercomputers for OpenAI in 2020, declining to reveal its location to AP at the time but describing it as a single system with more than 285,000 cores of conventional semiconductors, and 10,000 graphics processors a kind of chip thats become crucial to AI workloads.

Experts have said it can make sense to pretrain an AI model at a single location because of the large amounts of data that need to be transferred between computing cores.

It wasnt until late May that Microsofts president, Brad Smith, disclosed that it had built its advanced AI supercomputing data center in Iowa, exclusively to enable OpenAI to train what has become its fourth-generation model, GPT-4. The model now powers premium versions of ChatGPT and some of Microsofts own products and has accelerated a debate about containing AIs societal risks.

It was made by these extraordinary engineers in California, but it was really made in Iowa, Smith said.

In some ways, West Des Moines is a relatively efficient place to train a powerful AI system, especially compared to Microsofts data centers in Arizona that consume far more water for the same computing demand.

So if you are developing AI models within Microsoft, then you should schedule your training in Iowa instead of in Arizona, Ren said. In terms of training, theres no difference. In terms of water consumption or energy consumption, theres a big difference.

For much of the year, Iowas weather is cool enough for Microsoft to use outside air to keep the supercomputer running properly and vent heat out of the building. Only when the temperature exceeds 29.3 degrees Celsius (about 85 degrees Fahrenheit) does it withdraw water, the company has said in a public disclosure.

That can still be a lot of water, especially in the summer. In July 2022, the month before OpenAI says it completed its training of GPT-4, Microsoft pumped in about 11.5 million gallons of water to its cluster of Iowa data centers, according to the West Des Moines Water Works. That amounted to about 6% of all the water used in the district, which also supplies drinking water to the citys residents.

In 2022, a document from the West Des Moines Water Works said it and the city government will only consider future data center projects from Microsoft if those projects can demonstrate and implement technology to significantly reduce peak water usage from the current levels to preserve the water supply for residential and other commercial needs.

Microsoft said Thursday it is working directly with the water works to address its feedback. In a written statement, the water works said the company has been a good partner and has been working with local officials to reduce its water footprint while still meeting its needs.

-

OBrien reported from Providence, Rhode Island.

The Associated Press and OpenAI have a licensing agreement that allows for part of APs text archives to be used to train the tech companys large language model. AP receives an undisclosed fee for use of its content.

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Snackable artificial intelligence, expert AI, and the pharma industry – STAT

While its widely accepted that the pharma industry is innovative in R&D, it is also true that it can be slow at embracing technological revolutions. Many people have criticized pharma companies for being slow to adopt AI. Indeed, some CEOs I talk to are concerned about too widely adopting AI, citing fears of unknown threats.

But as the CEO of Sanofi, I dont believe those challenges should guide our thinking or adoption of AI in the pharma business, as AI has the potential to improve and reinvent the way our business operates. AI impacts the way we exchange information by connecting different business units and functions that may have been operating independently in real time. The exchange of data in real time greatly accelerates and enhances the business operations.

But we have to be thoughtful about how we use AI. While some see AI adoption as a way to improve efficiency for example, through the acceleration and automation of repetitive tasks I think its real promise lies in insights and better decision intelligence, which will translate into better medicines, quicker, for the right patients, ultimately improving peoples lives.

Discovering innovative medicines is increasingly challenging, and the bar for differentiation and safety and efficacy is getting higher. Expert AI is about giving scientists the opportunity to benefit from massive computing power, machine learning, and trained algorithms for expanding the druggable universe. AI-enabled screening can sift through billions of possible molecules can allow R&D teams to shorten the search to find disease drivers and potential drug candidates. We can also be broader in the diseases we target for low incremental cost.

The development of expert AI for the discovery of new medicines will concern a relatively limited portion of the pharma workforce: those with highly specialized skills and knowledge at the intersection of biology, chemistry, data science and in collaboration with tech and startup companies.

But expert AI is not the only approach that pharma should take. The promise of using AI exists across the value chain of the industry as it candeliver insights and ultimately better outcomes, end to end across the enterprise. Thats the importance of fostering the use of snackable AI inside organizations.

Snackable AI is about applications that everyone across an organization can use on a daily basis. Apps can capture and aggregate a 360-degree view from the whole company, from finance to procurement and from supply to quality. Such apps can tell us what is going well and highlight where there are potentially problems. It can also give recommendations and nudge by suggesting next steps that can help fix an emerging problem thats useful at that moment in time. No individual could process all that information all at once.

Moreover, senior leadership can see the data at the same time as the teams, which means it is not polished or interpreted in advance, erasing levels of hierarchy in gleaning insights. Thankfully, it also means a very different way of working, with fewer Excel sheets and PowerPoint slides! In some cases, budgeting can entail thousands of slides; AI can cut that number to several dozen. We can eliminate wasted time. If we can democratize the data, there is less time spent in meetings and more focus on getting insights fast.

So, while expert AI is about giving to specialized R&D teams bespoke tools and technologies to find breakthroughs for patients, snackable AI is about democratizing access to companys data and helping the largest parts of an organization to make better everyday decisions. That will in turn lead to better allocation of resources and, ultimately, to better outcomes for patients.

The rapid progress of AI has triggered debate about the power of the technology, and risks. Of course, we have to have good governance, but we need to allow people the ability to play with AI in a curated environment. With the right guardrails in place, we can greatly enhance our decision intelligence and get breakthroughs and real added value. When people arent producingPowerPointor Excel sheets or debating the numbers, they can spend more time onseekingsolutions rather than simply trying to identify the problem.

The journey is as much cultural as technological. And it must start at the top. Most leaders of large organizations started their career in an analog world and must catch up to better master the basics of digital, data and artificial intelligence. Resistance to implementing AI can exist among teams for a number of reasons fear of process disruption, wrong decisions, and job elimination, to name a few. A key for greater adoption of snackable AI relies on a leaders ability to demonstrate how this new technology can help teams remove menial tasks and transactional work by focusing instead on ways to empower better decisions, founded on facts and less on emotions.

We need to get the base of our companies nudged into better decisions, every day, in a nonpolitical and nonconfrontational way. As we innovate with AI, the results achieved, such as more precise and better medicines and the possibility of operating in a more efficient way, will benefit many companies as the technology learns and improves. The advantage will come from those who operationalize it faster, who live it, because much of AI is about behavioral change. You can be slow and get replaced or act fast and be brave to make AI a key driver of progress and better decision intelligence in companies.

Paul Hudson is CEO of Sanofi.

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Artificial intelligence technology behind ChatGPT was built in Iowa with a lot of water – ABC News

DES MOINES, Iowa -- The cost of building an artificial intelligence product like ChatGPT can be hard to measure.

But one thing Microsoft-backed OpenAI needed for its technology was plenty of water, pulled from the watershed of the Raccoon and Des Moines rivers in central Iowa to cool a powerful supercomputer as it helped teach its AI systems how to mimic human writing.

As they race to capitalize on a craze for generative AI, leading tech developers including Microsoft, OpenAI and Google have acknowledged that growing demand for their AI tools carries hefty costs, from expensive semiconductors to an increase in water consumption.

But theyre often secretive about the specifics. Few people in Iowa knew about its status as a birthplace of OpenAI's most advanced large language model, GPT-4, before a top Microsoft executive said in a speech it was literally made next to cornfields west of Des Moines.

Building a large language model requires analyzing patterns across a huge trove of human-written text. All of that computing takes a lot of electricity and generates a lot of heat. To keep it cool on hot days, data centers need to pump in water often to a cooling tower outside its warehouse-sized buildings.

In its latest environmental report, Microsoft disclosed that its global water consumption spiked 34% from 2021 to 2022 (to nearly 1.7 billion gallons, or more than 2,500 Olympic-sized swimming pools), a sharp increase compared to previous years that outside researchers tie to its AI research.

Its fair to say the majority of the growth is due to AI, including its heavy investment in generative AI and partnership with OpenAI, said Shaolei Ren, a researcher at the University of California, Riverside who has been trying to calculate the environmental impact of generative AI products such as ChatGPT.

In a paper due to be published later this year, Rens team estimates ChatGPT gulps up 500 milliliters of water (close to whats in a 16-ounce water bottle) every time you ask it a series of between 5 to 50 prompts or questions. The range varies depending on where its servers are located and the season. The estimate includes indirect water usage that the companies dont measure such as to cool power plants that supply the data centers with electricity.

Most people are not aware of the resource usage underlying ChatGPT, Ren said. If youre not aware of the resource usage, then theres no way that we can help conserve the resources.

Google reported a 20% growth in water use in the same period, which Ren also largely attributes to its AI work. Googles spike wasnt uniform -- it was steady in Oregon where its water use has attracted public attention, while doubling outside Las Vegas. It was also thirsty in Iowa, drawing more potable water to its Council Bluffs data centers than anywhere else.

In response to questions from The Associated Press, Microsoft said in a statement this week that it is investing in research to measure AI's energy and carbon footprint "while working on ways to make large systems more efficient, in both training and application.

We will continue to monitor our emissions, accelerate progress while increasing our use of clean energy to power data centers, purchasing renewable energy, and other efforts to meet our sustainability goals of being carbon negative, water positive and zero waste by 2030, the company's statement said.

OpenAI echoed those comments in its own statement Friday, saying it's giving considerable thought" to the best use of computing power.

We recognize training large models can be energy and water-intensive" and work to improve efficiencies, it said.

Microsoft made its first $1 billion investment in San Francisco-based OpenAI in 2019, more than two years before the startup introduced ChatGPT and sparked worldwide fascination with AI advancements. As part of the deal, the software giant would supply computing power needed to train the AI models.

To do at least some of that work, the two companies looked to West Des Moines, Iowa, a city of 68,000 people where Microsoft has been amassing data centers to power its cloud computing services for more than a decade. Its fourth and fifth data centers are due to open there later this year.

Theyre building them as fast as they can, said Steve Gaer, who was the city's mayor when Microsoft came to town. Gaer said the company was attracted to the city's commitment to building public infrastructure and contributed a staggering sum of money through tax payments that support that investment.

But, you know, they were pretty secretive on what theyre doing out there, he added.

Microsoft first said it was developing one of the world's most powerful supercomputers for OpenAI in 2020, declining to reveal its location to AP at the time but describing it as a single system with more than 285,000 cores of conventional semiconductors, and 10,000 graphics processors a kind of chip that's become crucial to AI workloads.

Experts have said it can make sense to "pretrain" an AI model at a single location because of the large amounts of data that need to be transferred between computing cores.

It wasn't until late May that Microsoft's president, Brad Smith, disclosed that it had built its advanced AI supercomputing data center in Iowa, exclusively to enable OpenAI to train what has become its fourth-generation model, GPT-4. The model now powers premium versions of ChatGPT and some of Microsoft's own products and has accelerated a debate about containing AI's societal risks.

It was made by these extraordinary engineers in California, but it was really made in Iowa, Smith said.

In some ways, West Des Moines is a relatively efficient place to train a powerful AI system, especially compared to Microsoft's data centers in Arizona that consume far more water for the same computing demand.

So if you are developing AI models within Microsoft, then you should schedule your training in Iowa instead of in Arizona," Ren said. "In terms of training, theres no difference. In terms of water consumption or energy consumption, theres a big difference.

For much of the year, Iowa's weather is cool enough for Microsoft to use outside air to keep the supercomputer running properly and vent heat out of the building. Only when the temperature exceeds 29.3 degrees Celsius (about 85 degrees Fahrenheit) does it withdraw water, the company has said in a public disclosure.

That can still be a lot of water, especially in the summer. In July 2022, the month before OpenAI says it completed its training of GPT-4, Microsoft pumped in about 11.5 million gallons of water to its cluster of Iowa data centers, according to the West Des Moines Water Works. That amounted to about 6% of all the water used in the district, which also supplies drinking water to the city's residents.

In 2022, a document from the West Des Moines Water Works said it and the city government will only consider future data center projects" from Microsoft if those projects can demonstrate and implement technology to significantly reduce peak water usage from the current levels to preserve the water supply for residential and other commercial needs.

Microsoft said Thursday it is working directly with the water works to address its feedback. In a written statement, the water works said the company has been a good partner and has been working with local officials to reduce its water footprint while still meeting its needs.

-

O'Brien reported from Providence, Rhode Island.

The Associated Press and OpenAI have a licensing agreement that allows for part of AP's text archives to be used to train the tech companys large language model. AP receives an undisclosed fee for use of its content.

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Artificial intelligence technology behind ChatGPT was built in Iowa with a lot of water - ABC News

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