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IQM Quantum Computers Achieves Technological Milestones With 99.9% 2-Qubit Gate Fidelity And 1 Millisecond Coherence Time – The Quantum Insider

Insider Brief

PRESS RELEASE IQM Quantum Computers, a global leader in building quantum computers, has reached significant milestones in superconducting quantum computing, demonstrating improvements in two key metrics characterising the quality of quantum computer.

A record low error rate for two-qubit operations was achieved by demonstrating a CZ gate between two qubits with (99.91 +- 0.02) % fidelity, which was validated by interleaved randomised benchmarking. Achieving high two-qubit gate fidelity is the most fundamental and hardest to achieve characteristic of a quantum processor, essential for generating entangled states between qubits and executing quantum algorithms.

Furthermore, qubit relaxation time T1 of 0.964 +- 0.092 milliseconds and dephasing time T2 echo of 1.155 +- 0.188 milliseconds was demonstrated on a planar transmon qubit on a silicon chip fabricated inIQMs own fabrication facilities. The coherence times, characterised by the relaxation time T1 and the dephasing time T2 echo, are among the key metrics for assessing the performance of a single qubit, as they indicate how long quantum information can be stored in a physical qubit.

These major results show that IQMs fabrication technology has matured and is ready to support the next generation of IQMs high-performance quantum processors. The results followIQMs recent benchmark announcementsand indicate significant potential for further advancements on gate fidelities essential for fault-tolerant quantum computing and processors with higher qubit counts.

The improvements in the two characteristics, two-qubit gate fidelity and coherence time, allow the quantum computer to be developed for more complex use cases. The significance of these results stems from the fact that only very few organisations have achieved comparable performance numbers before.

The results were achieved through innovations in materials and fabrication technology and required top-notch performance across all components of the quantum computer, including QPU design, control optimisation, and system engineering.

This achievement cements our tech leadership in the industry. Our quantum processor quality is world-class, and these results show that we have a good opportunity of going beyond that,saidDr. Juha Hassel, theVice President of Engineering at IQM Quantum Computers.

Hassel explained that the company is on track with its technology roadmap and is actively exploring potential use cases in machine learning, cybersecurity, route optimisation, quantum sensor simulation, chemistry, and pharmaceutical research.

This announcement comes on the heels of the launch of Germanysfirst hybrid quantum computerat the Leibniz Supercomputing Centre in Munich, for which IQM led the integration with its 20-qubit quantum processing unit, and the opening of theIQM quantum data centrein Munich.

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Quantum Computing’s Growth Curve Is Similar to Earliest Stages of AI, Top Physicist Says – Yicai Global

(Yicai) July 19 -- Quantum computing is on a development growth curve similar to artificial intelligence in its earliest stages, but there must be caution against unrealistic bubbles, according to the executive dean of the University of Science and Technology's Shanghai institute for advanced studies.

Quantum computers are a new tool, similar to others in their role in scientific development, and they can significantly boost scientific progress, Lu Chaoyang recently said.

Quantum computing is a new computing paradigm that performs calculations by manipulating qubits based on the principles of quantum mechanics. Unlike traditional computers, quantum computers possess an exponential advantage in computational power.

"With the nation's support, we hope to use quantum computers for quantum simulations in the future, exploring physical phenomena that are difficult to simulate with traditional methods to gain a deeper understanding," Lu noted.

Quantum computing has moved beyond the first development stage of proof-of-concept and entered the second stage, involving solving problems beyond the reach of existing knowledge frameworks and computational power, thereby achieving "quantum supremacy," Lu pointed out.

Although hundreds of teams worldwide are researching quantum computing, only a few have truly entered the second stage, surpassing classical computers in solving specific problems, Lu said. "After achieving the second stage, we hope to explore small-scale quantum computing and hope it will have practical value even at this scale."

In 2019, Google's AI division created Sycamore, a transmon superconducting quantum processor with 53 qubits, achieving "quantum supremacy" for the first time. China has since produced leading quantum computers, including Jiuzhang and Zu Chongzhi, to become the second country to reach quantum supremacy.

Editor: Martin Kadiev

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Paving the Way to Extremely Fast, Compact Computer Memory – The University of Texas at Austin

AUSTIN, Texas For decades, scientists have been studying a group of unusual materials called multiferroics that could be useful for a range of applications including computer memory, chemical sensors and quantum computers. In a study published in Nature, researchers from The University of Texas at Austin and the Max Planck Institute for the Structure and Dynamics of Matter (MPSD) demonstrated that the layered multiferroic material nickel iodide (NiI2) may be the best candidate yet for devices that are extremely fast and compact.

Multiferroics have a special property called magnetoelectric coupling, which means that you can manipulate magnetic properties of the material with an electric field and vice versa, electric properties with magnetic fields. The researchers found NiI2 has greater magnetoelectric coupling than any known material of its kind, making it a prime candidate for technology advances.

Unveiling these effects at the scale of atomically thin nickel iodide flakes was a formidable challenge, said Frank Gao, a postdoctoral fellow in physics at UT and co-lead author of the paper, but our success presents a significant advancement in the field of multiferroics.

Our discovery paves the way for extremely fast and energy-efficient magnetoelectric devices, including magnetic memories, added graduate student Xinyue Peng, the projects other co-lead author.

Electric and magnetic fields are fundamental for our understanding of the world and for modern technologies. Inside a material, electric charges and atomic magnetic moments may order themselves in such a way that their properties add up, forming an electric polarization or a magnetization. Such materials are known as ferroelectrics or ferromagnets, depending on which of these quantities is in an ordered state.

However, in the exotic materials that are multiferroics, such electric and magnetic orders co-exist. The magnetic and electric orders can be entangled in such a way that a change in one causes a change in the other. This property, known as magnetoelectric coupling, makes these materials attractive candidates for faster, smaller and more efficient devices. For such devices to work effectively, it is important to find materials with particularly strong magnetoelectric coupling, as the research team describes doing with NiI2 in their study.

The researchers accomplished this by exciting the material with ultrashort laser pulses in the femtosecond range (a millionth of a billionth of a second) and then tracking the resulting changes in the materials electric and magnetic orders and magnetoelectric coupling via their impact on specific optical properties.

To understand why the magnetoelectric coupling is so much stronger in NiI2 than in similar materials, the team performed extensive calculations.

Two factors play important roles here, said co-author Emil Vias Bostrm of the MPSD. One of them is the strong coupling between the electrons spin and orbital motion on the iodine atoms thats a relativistic effect known as spin-orbit coupling. The second factor is the particular form of the magnetic order in nickel iodide, known as a spin spiral or spin helix. This ordering is crucial both to initiate the ferroelectric order and for the strength of the magnetoelectric coupling.

Materials like NiI2 with large magnetoelectric coupling have a wide range of potential applications, according to the researchers. These include magnetic computer memory that is compact, energy efficient and can be stored and retrieved much faster than existing memory; interconnects in quantum computing platforms; and chemical sensors that can ensure quality control and drug safety in the chemical and pharmaceutical industries.

The researchers hope that these groundbreaking insights can be used to identify other materials with similar magnetoelectric properties and that other material engineering techniques could possibly lead to a further enhancement of the magnetoelectric coupling in NiI2.

This work was conceived and supervised by Edoardo Baldini, assistant professor of physics at UT, and Angel Rubio, directoroftheMPSD.

The papers other UT authors are Dong Seob Kim and Xiaoqin Li. Other authors of MPSD are Xinle Cheng and Peizhe Tang. Additional authors are Ravish K. Jain, Deepak Vishnu, Kalaivanan Raju, Raman Sankar and Shang-Fan Lee of Academia Sinica; Michael A. Sentef of the University of Bremen; and Takashi Kurumaji of the California Institute of Technology.

Funding for this research was provided by the Robert A. Welch Foundation, the U.S. National Science Foundation, the U.S. Air Force Office of Scientific Research, the European Unions Horizon Europe research and innovation program, the Cluster of Excellence CUI: Advanced Imaging of Matter, Grupos Consolidados, the Max Planck-New York City Center for Non-Equilibrium Quantum Phenomena, the Simons Foundation and the Ministry of Science and Technology in Taiwan.

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MAS steps up support for AI and quantum computing capabilities – Central Banking

End of drawer navigation content Skip to main content Central bank to provide extra S$100 million for financial institutions to explore new technologies

The Monetary Authority of Singapore (MAS) said on July 18 that it would provide an additional S$100 million (US$74 million) to support the use of quantum computing and artificial intelligence (AI) in the financial sector.

The MAS said ina statement that it would provide the funding under its Financial Sector Technology and Innovation Grant Scheme (FSTI 3.0), a programme aimed atsupporting innovation in the financial sector.

In August 2023, it said it wouldcommit up to S$150 million under the

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Oxford Researchers Reveal Pioneering Chip: 3-Year Quantum Mass Production Possible – CCN.com

Key Takeaways

Since the first quantum computers were built in the late 1990s, the field has made some significant breakthroughs. But nearly 3 decades later, quantum hardware that can be manufactured at scale and applied to real-world computing challenges remains elusive.

One startup hoping to address the problem is Oxford Ionics, which recently unveiled a new quantum chip it says can be produced by a standard semiconductor fabrication plant and doesnt require costly error correction techniques.

One of the central challenges of quantum computing is producing high-quality quantum gates at scale.

Like conventional logic gates that form the smallest component of silicon computer chips, quantum gates are the building blocks of quantum circuits. The main difference is that whereas traditional logic gates process information as binary bits (ones and zeros), quantum gates process information in qubits, which can represent a superposition of multiple non-binary states simultaneously.

The new Oxford Ionics chip has set industry records in both two-qubit gate and single-qubit gate performance.

Significantly, the company managed to achieve the breakthrough without relying on the error correction techniques utilized by many of its peers. Error correction can be used to identify and fix errors created by quantum gates high susceptibility to noise. However, it increases the number of qubits needed for any given computation.

Although qubits capacity to transmit far more information than classical bits is what gives all quantum machines their vast computational power, not all qubits are created equal.

To date, major players including IBM, Google and Intel have all thrown their weight behind quantum chips that rely on the properties of superconductors like niobium and tantalum.

But although the most sophisticated quantum computers built so far have been based on superconducting processors, the extremely low temperatures required for operation and the need for significant error correction make current solutions impractical for mass-market applications.

In contrast, devices made with trapped ion-based logic gates have relatively low error rates and can operate at any temperature. But until now, they have required lasers to control qubits.

With its latest chip, Oxford Ionics has eliminated the need for lasers. Without this requirement, future quantum computers built using the startups trapped ion processors could be far more commercially viable than todays machines.

One of the companys first customers to receive the new processor will be the UKs National Quantum Computing Centre (NQCC). In February, the NQCC selected Oxford Ionics as one of 7 startups to be part of a 30 million government-funded program to build new quantum computing hardware at its facility in Oxfordshire.

Commenting on the new chips performance results, NQCC Director Dr Michael Cuthbert, said they mark a pivotal step forward in ion trap quantum computing that validates the scalability of the technology.

The reported one and two qubit gate results outperform other players achievements to date, meaning error correction becomes achievable with minimal overheads, he added.

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A huge race is on to develop quantum technologies. The time to discuss risks is now – The Conversation

The United Nations has proclaimed 2025 as the International Year of Quantum Science and Technology. The goal is to recognise the importance of quantum science and the need for wider awareness of its past and future impact. But why quantum? Why now?

Quantum science is both complex and weird. Its not easy to wrap your head around concepts such as entanglement, light existing as both a wave and a particle, or a cat in a box that is both alive and dead (until observed).

The weirdness of quantum mechanics is now being channelled into the construction of the first quantum computers, communication systems and sensors. Further down the road, it could power the next generation of artificial intelligence (AI).

We are in the early stages of an expensive and resource-intensive quantum race among the worlds powers. The competition for quantum leadership is likely to play a major role in shaping Australias economic and national security policy for decades to come.

Big tech giants, major powers and top research universities are all in a race to build the first commercially viable quantum systems. While opinions differ on whether the quantum race is a marathon or a sprint, some big bets have already been placed.

By 2045, CSIRO estimates show the Australian quantum industry could bring in up to A$6 billion in annual revenue, and provide almost 20,000 jobs.

In 2023 Australia laid out its National Quantum Strategy to boost government support and make Australia a leader of the global quantum industry.

Over the past two years the Victorian government has invested $37 million into quantum startups. In April, the Commonwealth and Queensland governments committed to a joint $1 billion investment to build the worlds first utility-scale quantum computer. The same month, the University of Sydney was awarded an $18.4 million federal grant to establish a national hub for the quantum ecosystem in Australia.

But understanding the question of quantum is more than a matter of science and technology, or dollars and cents. As with just about every powerful new technology, the question is not if but when the next quantum wave will be weaponised.

Based on entangled quantum bits (qubits), quantum technology has the potential to exponentially increase computational power, transform communication networks and optimise the flow of goods, resources and money.

Commercial industries as diverse as telecommunications, pharmaceuticals, banking and mining of data as well as minerals will all be transformed.

However, it is the national security implications of quantum technology that have most interested our government, and others around the world.

Quantum radar, code, internet, sensors and GPS are being fast-tracked by militaries and defence industries in all corners of the globe. Who gets there first (the quantum haves) could produce new asymmetries of power and dangers for the rest (the quantum have-nots).

Quantum communications systems can deliver completely secure, unhackable lines of communication. A prototype network is already connecting several major cities over nearly 5,000km in China. On the other hand, quantum computers pose the risk of eventually being able to hack classically encrypted messages in seconds an eventuality known as Q-Day.

Quantum AI is being developed to improve the performance of lethal autonomous weapons. Do we really want swarms of drones operating in a networked battlespace without any human in the loop?

Quantum sensors, already in use today, are able to make ultra-sensitive measurements of magnetic and gravitational fields. This means pinpointing metals and large objects underground as well as underwater.

New breakthroughs in quantum sensing technology would have serious implications for the resilience and reliability of Australias new fleet of nuclear submarines. Its an important consideration for the single largest military investment in our nations history.

Just about every new complex technology has generated unintended consequences and unexpected disasters. Chernobyl, Three Mile Island and Fukushima all bear witness to the risks inherent in an earlier wave of nuclear technologies resulting from breakthroughs in quantum science.

Given the potential speed and networked power of quantum machine learning and cloud computing, a glitch in quantum artificial intelligence could start as a local incident but quickly cascade into a global crisis.

The blockbuster film Oppenheimer showed how an earlier wave of quantum research enabled the atomic bomb, and forever changed the international order.

The first use of nuclear weapons also spurred a deep and engaged global discussion about disarmament, led by more than a few of the scientists who had helped build the bomb. But their voices were drowned out by a politics of fear and the Cold War, resulting in a costly arms race and nuclear brinksmanship that continues to this day.

When asked about President Lyndon Johnsons effort to initiate arms control talks in the 1960s, Oppenheimer replied:

Its twenty years too late it should have been done the day after Trinity [the first nuclear detonation].

We had best not wait to start asking the hard questions about how the next generation of quantum technologies will impact the prospects for global war and peace in years ahead.

Project Q: War, Peace, and Quantum Mechanics is screening at the Melbourne Documentary Film Festival on July 20.

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Chinese companies offer to ‘resurrect’ deceased loved ones with AI avatars – NPR

Sun Kai, the co-founder of Silicon Intelligence, speaks with an AI avatar of his late mother whenever he feels stressed at work. Aowen Cao/NPR hide caption

TAIPEI, Taiwan Whenever stress at work builds, Chinese tech executive Sun Kai turns to his mother for support. Or rather, he talks with her digital avatar on a tablet device, rendered from the shoulders upby artificial intelligence to look and sound just like his flesh-and-blood mother, who died in 2018.

I do not treat [the avatar] as a kind of digital person. I truly regard it as a mother, says Sun, 47, from his office in Chinas eastern port city of Nanjing. He estimates he converses with her avatar at least once a week. I feel that this might be the most perfect person to confide in, without exception.

The company that made the avatar of Suns mother is called Silicon Intelligence, where Sun is also an executive working on voice simulation. The Nanjing-basedcompany is among a boom in technology startups in China and around the world that create AI chatbots using a persons likeness and voice.

The idea to digitally clone people who have died is not new but until recent years had been relegated to the realm of science fiction. Now, increasingly powerful chatbots like Baidus Ernie or OpenAIs ChatGPT, which have been trained on huge amounts of language data, and serious investment in computing power have enabled private companies to offer affordable digital clones of real people.

These companies have set out to prove that relationships with AI-generated entities can become mainstream. For some clients, the digital avatars they produce offer companionship. In China, they have also been spun upto cater to families in mourning who are seeking to create a digital likeness of their lost loved ones, a service Silicon Intelligence dubs resurrection.

Whether she is alive or dead does not matter, because when I think of her, I can find her and talk to her, says Sun of his late mother, Gong Hualing. In a sense, she is alive. At least in my perception, she is alive, says Sun.

The rise of AI simulations of the deceased, or deadbots as academics have termed them, raises questions without clear answers about the ethics of simulating human beings, dead or alive.

In the United States, companies like Microsoft and OpenAI have created internal committees to evaluate the behavior and ethics of their generative AI services, but there is no centralized regulatory body in either the U.S. or China for overseeing the impacts of these technologies or their use of a persons data.

Browse Chinese e-commerce sites and you will find dozens of companies that sell digital cloning and digital resurrection services that animate photographs to make them look like they are speaking for as little as the equivalent of less than $2.

Silicon Intelligences most basic digital avatar service costs 199 yuan (about $30) and requires less than one minute of high-quality video and audio of the person while they were living.

More advanced, interactive avatars that use generative AI technology to move on screen and converse with a client can cost thousands of dollars.

But theres a big bottleneck:data, or rather, the lack of it.

The crucial bit is cloning a persons thoughts, documenting what a person thought and experienced daily, says Zhang Zewei, the founder of Super Brain, an AI firmbased in Nanjing that also offers cloning services.

Zhang asks clients to describetheir foundational memories and important experiences, or that of their loved ones. The company then feeds those stories into existing chatbots, to power an AI avatars conversations with a client.

At Silicon Intelligence, a technician is preparing to film a person in the studio. The person will read a script and perform specific hand gestures as directed. This footage will be used to create an AI avatar. Aowen Cao/NPR hide caption

(Due to the rise in AI-powered scams using deepfakes of a persons voice or likeness, both Super Brain and Silicon Intelligence require authorization from the person being digitally cloned, or authorization from family and proof of kin if the person is deceased.)

The most labor-intensive step of generating an avatar of a person is then cleaning up the data they provide, says Zhang. Relatives often hand over low-quality audio and video, marred by background noise or blurriness. Photos depicting more than one person are also no good, he says, because they confuse the AI algorithm.

However, Zhang admits that for a digital clone to be truly life-like would need much higher volumes of data, with clients preparing at least 10 years ahead of time by keeping a daily diary.

The scarcity of usable data is compounded when someone unexpectedly dies and leaves behind few notes or videos.

Fu Shou Yuan International Group, a Chinese-listed company in Shanghai that maintains cemeteries and provides funeral services, instead bases its AI avatars primarily on the social media presence a person maintained in life.

In today's world, the internet probably knows you the best. Your parents or family may not know everything about you, but all your information is online your selfies, photos, videos, says Fan Jun, a Fu Shou Yuanexecutive.

Fu Shou Yuan is hoping generative AI can lessen the traditional cultural taboo around discussing death in China, where mourning is accompanied by extensive ritual and ceremony though expressions of daily grief are discouraged.

In Shanghai,the company hasbuilt a cemetery, landscaped like a sun-dappled public park, but its no ordinary burial ground. This one is digitized: Visitors can hold up a cellphone to scan a QR code placed on select headstonesand access a multimedia record of the deceaseds life experiences and achievements.

If these thoughts and ideas were to be engraved like in ancient times, we would need a vast cemetery like the Eastern Qing tombs for everyone, Fan says, referring to a large imperial mausoleum complex. But now, it is no longer necessary. All you might need is a space as small as a cup with a QR code on it.

Fan says he hopes the experience will better integrate the physical and the spiritual, thatfamilies will see the digital cemetery as a place to celebrate life rather than a site that invokes fear of death.

In the digital cemetery created by Fu Shou Yuan in Shanghai, a headstone features a QR code that visitors can scan to access information about the deceased and pay tribute online. Aowen Cao/NPR hide caption

So far fewerthan100 customershave opted for placing digital avatars on their loved ones headstones.

For the family members who have just lost a loved one, their first reaction will definitely be a sense of comfort, a desire to communicate with them again, says Jiang Xia, a funeral planner for the Fu Shou Yuan International Group. However, to say that every customer will accept this might be challenging, as there are ethical issues involved.

Nor are Chinese companies the first to try recreating digital simulations of dead people. In 2017, Microsoft filed a patent application for simulating virtual conversations with someone who had passed, but an executive of the U.S. tech giant later said there was no plan to pursue it as a full commercial service, saying it was disturbing.

Project December, a platform first built off ChatGPTs technology, provides several thousand customers the ability to talk with a chatbot modeled off their loved ones. OpenAI soon terminated the platforms access to its technology, fearing its potential misuse for emotional harm.

Ethicists are warning of potential emotional harm to family members caused by life-like AI clones.

That is a very big question since the beginning of humanity: What is a good consolation? Can it be religion? Can it be forgetting? No one knows, says Michel Puech, a philosophy professor at the Sorbonne Universit in Paris.

There is the danger of addiction, and [of] replacing real life. So if it works too well, that's the danger, Puech told NPR. Having too much consoling, too much satisfying experience of a dead person will apparently annihilate the experience, and the grief, of death. But, Puech says, that in fact, it's largely an illusion.

Most people who have decided to digitally clone their loved ones are quick to admit every person grieves differently.

Sun Kai, the Silicon Intelligence executive who digitally cloned his mother, has deliberately disconnected her digital avatar from the internet, even if it means the chatbot will remain ignorant of current events.

Maybe she will always remain as the mother in my memory, rather than a mother who keeps up with the times, he tells NPR.

Others are more blunt.

I do not recommend this for some people who might see the avatar and feel the full intensity of grief again, says Yang Lei, a resident of the southern city of Nanjing, who paid a company to create a digital avatar for his deceased uncle.

When Yangs uncle passed away, he feared the shock would kill his ailing, elderly grandmother. Instead of telling her about her sons death, Yang sought to create a digital avatar that was realistic enough to make video calls with her to maintain the fiction that her son was still alive and well.

Yang says he grew up with his uncle, but their relationship became more distant after his uncle left their villagelooking for work in construction.

After his uncles death, Yang struggled to unearth more details of his life.

He had a pretty straightforward routine, as most of their work was on construction sites. They work there and sleep there, on site. Life was quite tough, Yang says. It was just a place to make money, nothing more, no other memories.

Yang scrounged around family group chats on various social media apps on his own phoneand came up with enough voice messages and video of his late uncle to create a workable digital clone of his likeness. But there was no getting around the lack of personal records, social media accounts and thus the lack of data his uncle had left behind.

Then Yang hit upon a more low-tech solution: What if a company employee pretended to be his uncle but disguised their face and voice with the AI likeness of his uncle?

In spring 2023, Yang put his plan into motion, though he has since come clean with his grandmother once she was in better health.

The experience has left Yang contemplating his own mortality. He says he is definitely going to clone himself digitally in advance of his death. However, doing so would not create another living version of himself, he cautioned, nor would such a digital avatar ever replace human life.

Do not overthink it, he cautions. An AI avatar is not the same as the human it replaced. But when we lose our flesh and blood body, at least AI will preserve our thoughts.

Aowen Cao contributed research from Nanjing, China.

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Big data, social media and artificial intelligence will poison the 2024 election – Iowa Capital Dispatch

When news became digital at the turn of the century, I prophesied in Interpersonal Divide: The Search for Community in a Technological Age that people would seek affirmation over information, which the web readily provides, putting newspapers out of business and undermining democracy.

The second edition, Interpersonal Divide in the Age of Machine, documented how big data sliced the populace into consumer groups, dehumanizing them.

Heres an excerpt:

Big data reduce the global millions of Internet users into nodes interactive re-distribution points or little people, using personal, professional, educational, governmental, psychological, sociological and, most importantly, consumer demographics and psychographics to make seemingly instantaneous correlations of what each user-node likes, dislikes and is most likely to buy.

My 2017 book predicted that we would neglect ethical principles established in time, culture and place and replace those with machine values:

1. IMPORTANCE OF SELF over others.

2. BOREDOM over attentiveness.

3. OVERSHARING over privacy.

4. ENTERTAINMENT over knowledge.

5. INTERRUPTION over interaction.

6. DISTRACTION over concentration.

7. INCIVILITY over empathy.

8. AFFIRMATION over information.

9. BELIEF over fact.

10. ON DEMAND FANTASY over intimacy.

Technology gives us what we want, not what we need.

Devoid of fact-based science and informed social science, media personalities easily spread conspiracy theories. The Associated Press notes that these wild concoctions have proven lucrative for those cashing in on unfounded medical claims, investment proposals or fake news websites.

Now comes artificial intelligence and with it, automation bias (reinforcing stereotypes) and hallucinations (outright fabrications), leading to political sectarianism hating your adversaries more than loving your own party and designating others as immoral to justify actions against them.

That culminated in the Jan. 6, 2021, insurrection.

ChatGPT and other large language models, trained on big data and social media, lie fluently with authority, knowing the public has forgotten how to verify claims or even cares anymore about doing so.

As such, Donald J. Trump who told 30,573 lies over four years of his presidency is the ideal candidate in the age of AI. His genius is manipulation. Technology is his friend, altering or swapping images of crowd size to support his exaggerations.

Consider the June 2024 debate, in which he fabricated achievements of his administration and gaslighted the audience about Jan. 6, claiming a relatively small number of people actually breached the Capitol and in many cases were ushered in by the police.

It doesnt matter that the news media covered the insurrection with video, audio, photographs and testimonials, as thousands of people descended on Capitol Hill, engaging in hand-to-hand combat with police. Many watching the debate overlooked that and other Trump lies while President Joe Biden, 81, struggled to recall the stats and facts of his administration. He over-prepped, imagining viewers still cared about data, however inaccurate or hyped.

Polls showed that 67% of debate watchers say that Trump triumphed whereas 33% said the President did.

In the months before the election, AI will continue to spread fabrications through deepfake productions pilfering a persons voice and image and lip-syncing any lie or invention. TikTok, Facebook, YouTube, X and other platforms inform the public more than traditional media, with half of U.S. adults relying on those platforms for news.

A good portion of those posts are bogus, mimicking what viewers already believe, as a matter of clickbait and text prompt rather than fact and check.

As the Associated Press reports, Artificial intelligence is supercharging the threat of election disinformation worldwide, making it easy for anyone with a smartphone and a devious imagination to create fake but convincing content aimed at fooling voters.

A recent survey finds that 73% of Americans believe it is very or somewhat likely that AI will be used to manipulate social media, influencing the outcome of the presidential election. They also are aware of deepfakes and targeted use of AI to deceive voters.

We need warning labels on social media to protect children but thats not enough

As long as they are affirmed, anything goes.

Studies have shown that AI has advanced so quickly without human oversight that it is now able to deceive people without being programmed to do just that. Chatbots even can act on their own, fabricating news, uploading divisive messages, and impersonating candidates across media platforms.

When lies pollute the metaverse, truth becomes debatable and perception, reality.

Little can be done at this point, apart from requiring media and technology literacy in schools and hoping future generations correct the errors of our algorithmic ways.

When society cannot tell fact from factoid, the end of information is near, ensuring that we get the governments that we deserve.

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HIMSSCast: Where population health is getting a boost from artificial intelligence – Healthcare IT News

It seems like artificial intelligence has applications everywhere in healthcare. But some applications might be better than others.

That's certainly what Dr. Michael Dulin has found in the realm of population health.

Dulin is a nationally recognized leader in the field of healthcare information technology and applying analytics and outcomes research to improve care, drawing on his years of frontline experience to explain how population health should work.

As director of the Academy for Population Health Innovation at the University of North Carolina at Charlotte, he is one of the nation's leading authorities on population health. And AI increasingly is becoming part of his work.

Dulin is this week's guest on HIMSSCast. We discuss AI advancing the integration and curation of complex data required for population health initiatives, AI being used to evaluate the disease burden and risk for population health planning, CIOs and other health IT leaders and clinicians using AI to predict changes in population health needs over time, and much more.

Like what you hear? Subscribe to the podcast on Apple Podcasts, Spotify or Google Play!

Talking points:

How can hospitals, health systems and researchers use AI to advance the integration and curation of complex data required for population health initiatives?

How can AI be used to evaluate the disease burden and risk for population health planning?

How can CIOs, other health IT leaders and clinicians use AI to predict changes in population health needs over time?

How can AI be used to assist with development and deployment of population health interventions, for example, tailored messaging?

What about patient-facing AI? How can AI be used as a tool to improve self-efficacy engagement of patients?

More about this episode:

Atlantic Health System CIDO offers lessons on AI in cybersecurity

Tech leader attempts to work MAGIC with AI incubator and research collaborative

Phoebe Physician Group gains big ROI by using AI for no-shows

AI has a role to play during the patient intake process

If a doctor and an AI app both have 95% accuracy, whats the difference?

How AI can boost cancer, depression and perioperative care

Follow Bill's HIT coverage on LinkedIn: Bill Siwicki Email him:bsiwicki@himss.org Healthcare IT News is a HIMSS Media publication.

The HIMSS AI in Healthcare Forum is scheduled to take place September 5-6 in Boston. Learn more and register.

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The question that will determine the future of AI – CTech

After two years of great enthusiasm for generative artificial intelligence, a pressing question is starting to preoccupy the major players: can the field generate sufficient income to offset its substantial operating costs? Many doubts arise. David Cahn, a Partner at Sequoia Capital, recently raised what he calculated as "AIs $600B Question", explaining that the AI bubble is reaching a tipping point and navigating what comes next will be essential.

According to Cahn, the math doesn't add up, a claim he supports with a simple calculation. He doubled Nvidia's revenue projections to account for the costs associated with operating data centers, which require chips, electricity, buildings, and water for cooling. He then doubled this amount again to reflect the profit margins of end users (e.g., startups purchasing AI computing from companies like Microsoft, Amazon, and Google). This calculation suggests that the field should generate annual revenues of $600 billion. However, even with the optimistic assumption that each of the technology giantsAlphabet, Microsoft, Apple, Amazon, and Metawill generate $10 billion annually from AI, and that smaller companies such as Oracle, ByteDance, Alibaba, Tencent, and Tesla each generate $5 billion in annual revenue, there is still a $500 billion gap between expenses and revenues in the field. Where will the money come from?

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OpenAI CEO Sam Altman (left), Nvidia CEO Jensen Huang

(Photos: Bloomberg, Andrew Caballero-Reynolds/AFP)

Jeremy Grantham, an investor known for predicting the financial crises of 2000 and 2008, suggested last year that artificial intelligence is a bubble that may soon deflate. He added that technology stocks have reached an "eye-popping peak" and will likely experience a sharp decline.

How eye-popping? In 2023, nearly $190 billion in investments flowed into AI. A total of 1,812 startups raised funds that yeara 40% increase compared to 2022, according to a report by Stanford HAI. With the publication of financial reports for the first quarter in April, all the major technology companies announced increased investments in the field: Meta raised its forecast for AI expenses this year to $10 billion; Alphabet announced it would invest $12 billion (or more) each quarter, primarily in data centers; and Microsoft, which invested $14 billion in the last quarter, expects this figure to increase "substantially."

Capital Group estimates that the technology giants alone will invest $189 billion in 2024over a fifth of all investments among S&P 500 companies. While the tech giants can afford this due to strong revenues and profits, what about the smaller companies?

The numbers are staggering, doubts are emerging, and signs of problems are surfacing with end users. Stability AI, a prominent startup in the field with a valuation of over $1 billion at the end of 2022 and over $250 million raised, has reportedly only generated $11 million in 2023 while incurring $153 million in operating costs. The company recently announced layoffs of 10% of its workforce. Emad Mostaque, the former CEO of Stability AI, who resigned in March, predicted last year that this would be the biggest bubble of all time, dubbing it the "dot AI" bubble.

This month, the alarmed community was joined by the first huge institutional player - Goldman Sachs, which published the first sober report of its kind on the artificial intelligence industry. For the bank, the question is greater than $600 billion. "Tech giants and beyond are set to spend an estimated $1 trillion on AI capex in coming years. Will this investment pay off? And if it doesnt, what does that mean for businesses and investors?" they wrote.

Although the report tries to provide a complex and balanced picture, the general feeling is pessimistic. According to Daron Acemoglu, an economics professor from MIT who is quoted in the report, artificial intelligence will automate less than 5% of tasks in the next decade, and will contribute a measly 0.9% to GDP growth. Head Goldman Sachs Global Equity Research Jim Covello adds that the technology is not designed to solve complex problems that would justify the high costs.

Although the report attempts to present a balanced view, the overall sentiment is pessimistic. Daron Acemoglu, an MIT economics professor quoted in the report, predicts that AI will automate less than 5% of tasks in the next decade and contribute only 0.9% to GDP growth. Jim Covello, head of Goldman Sachs Global Equity Research, adds that AI technology is not designed to solve complex problems that would justify its high costs.

This marks a sharp contrast to a Goldman Sachs report published in May, which estimated that generative AI would increase U.S. productivity by 9% and GDP by 6.1% within a decade. Capital Economics predicts that the bubble may burst as early as 2026, leading to a decade of disappointing average annual stock gains of 4.3%.

Investment funds and banks responsible for injecting significant capital into AI over the past two years are reluctant to use the term "bubble," as they remain caught up in the hype. For example, SoftBank recently announced a preference for investing in AI companies over other strategies, including share buybacks. SoftBank has previously made high-profile investments, such as its $12 billion investment in WeWork, which failed. In June, Masayoshi Son, founder of SoftBank, described the previous investment round as a "warm-up round."

A bubble requires careful consideration, measured investment, and a critical attitude towards the valuations of certain companies. The current situation bears a striking resemblance to the dot-com bubble, with parallels in the rapid price increases of companies like Nvidia and Cisco during the late 1990s, just before the bubble burst. The technology sectors dominance in the S&P 500, making up 32% of the indexits highest rate since the dot-com erafurther fuels these comparisons. Only three companiesApple, Microsoft, and Nvidiaaccount for a fifth of the index, which raises concerns.

Regarding a potential bubble, the crucial question is not when or how it will burst, but what will remain afterward. The dot-com bubble, despite causing significant damage, eventually cleared the sector of ineffective companies and laid the groundwork for future technological advancements. The AI bubble, while still evolving, holds great potential. Todays AI products, such as text-to-image generators and chatbots, are popular with users, but the big capital is not yet found in their immediate uses by CPAs, developers, or advertisers.

Do these uses justify the enormous operating costs? Not yet. However, the knowledge gained in developing these products, the data centers, and the infrastructures supporting them could create new opportunities and sustainable products after the bubble bursts.

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