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Quantum eMotion Joins the Hudson Institute in Washington, DC at the Presentation of its New Report on the Quantum Threat to the U.S. Financial System

Montreal, Quebec--(Newsfile Corp. - May 19, 2023) - Quantum eMotion Corp. (TSXV: QNC) (OTCQB: QNCCF) ("QeM" or the "Company") today announces its participation at the launch by the Hudson Institute's Quantum Alliance Initiative (QAI) of its new report on the Quantum threat to the U.S. Financial system.

The report highlights the potentially devastating consequences of a future quantum computer attack on the US financial system. It emphasizes the need for the Federal Reserve to take the quantum threat seriously, like the steps taken by the White House and federal government in their Zero-Trust Cybersecurity strategy.

The report indicates that a cascading quantum attack on major banks, the Federal Reserve, or stock exchanges could have calamitous effects on the US and global economy, possibly worse than the Great Depression. Quantum computers have the potential to decrypt public-key encryption, which is widely used in banking and other critical systems.

The report warns that the threat is undetectable and could persist for days or weeks, causing bank runs and significant financial failures. The estimated cost of a single quantum attack on a major US financial institution targeting the Fedwire Funds Service payment system ranges from $730 billion to $1.95 trillion. The overall impact of a quantum hack and its cascading effects could result in a decline in annual real GDP by 10% to 17%, leading to a six-month recession and indirect losses of $2 to $3.3 trillion. To address this threat, the report recommends adopting post-quantum cryptography standards, convening a Quantum Security Summit involving major banks, setting a deadline for all Federal Reserve banks to be quantum secure, and establishing a quantum security task force at the Fed. It emphasizes the urgency of taking action today to mitigate the risk posed by future quantum computers to the financial sector.

The report "Prosperity at Risk: The Quantum Computer Threat to the U.S. Financial System" can be downloaded at the following link: https://www.hudson.org/technology/prosperity-risk-quantum-computer-threat-us-financial-system

As a prominent U.S. think tank that has been influential in shaping public discourse and policy debates, the Hudson Institute has identified quantum computing and quantum cybersecurity as critical and strategic technologies with inevitable impact on national security and on the economy. Consistently, the creation of QAI helped to foster more urgency among the cybersecurity industry to establish necessary global standards for securing quantum communication.

Francis Bellido, CEO of Quantum eMotion, commented, "We are honored to have joined the Quantum Alliance and actively participating in its initiatives. In a few years QAI has developed itself in an international consortium of companies, government institutions, and universities with the mission to raise awareness and develop policies for the benefit of the Western world quantum ecosystem."

He added: "We believe our quantum-secure Sentry-Q communication platform and our Quantum-protected Blockchain wallet can play a significant role in controlling the threats facing traditional Financial Systems and new blockchain-based approaches used by Decentralized Finance (DeFi)."

About QeM

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

The Company intends to target the highly valued Healthcare Services industry while ensuring its technology is also relevant and applicable to others, such as Financial Services, Cloud-Based IT Security Infrastructure, Classified Government Networks and Communication Systems, Secure Device Keying (IOT, Automotive, Consumer Electronics) and Quantum Cryptography.

For further information, please contact:

Francis Bellido, Chief Executive OfficerEmail: info@quantumemotion.comWebsite: http://www.quantumemotion.com

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

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

To view the source version of this press release, please visit https://www.newsfilecorp.com/release/166731

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HAMBURG, Germany, May 19, 2023 Research requires persistence, and the contribution of early and middle-career researchers to expanding the frontiers of high performance computing and related domains can sometimes be overlooked. The ISC Conference Series celebrates individual and collective research accomplishments with several awards to recognize the important work.

We hope you will attend the following sessions to honor the following researchers contributions to our community.

Jack Dongarra Early Career Award and Lecture SeriesMonday, May 22, 11:25 am to 12 pm (Hall Z)

The inaugural Jack Dongarra Award winner isDr. Torsten Hoefler, an associate professor at ETH Zurich, Switzerland. This award acknowledges Hoeflers significant contributions to converging HPC and AI. His research focuses on performance-centric system design, which includes scalable networks, parallel programming techniques, and performance modeling for large-scale simulations and AI systems. He is invited to lecture onInheriting Excellence: High-Performance Computing at a Crossroads.This award includes prize moneyof 5,000 euros, whichProfessor Jack Dongarrahimself will present.

Hans Meuer Award SessionMonday, May 22, 2:50 pm to 3:30 pm (Hall 4)

This award recognizes the most outstanding research paper submitted to the research paper committee. This years winning paper isExpression Isolation of Compiler-Induced Numerical Inconsistencies in Heterogeneous Code.This paper was authored byDolores Miao, a computer science Ph.D. student at UC Davis, California,Dr. Ignacio Laguna, a computer scientist at the Center for Applied Scientific Computing (CASC) at the Lawrence Livermore National Laboratory, andDr. Cindy Rubio-Gonzlez, assistant professor at the Department of Computer Science at UC Davis.The winners receivea cash prize of 3,000 Euros and an award certificate.

Twenty-one acceptedpapers will be presented from Monday, May 22, to Wednesday, May 24. All accepted ISC 2023 research papers are published in Springers Lecture Notes in Computer Science (LNCS) series and can bedownloaded for freeuntil June 15.[nbsp]

ISC Research Poster Award SessionTuesday, May 23, 2:30 pm to 3:30 pm (Hall G1 2nd Floor), followed by a meet and greetResearch Poster Receptionfrom3:30 pm to 5:30 pm (Foyer D-G 2nd Floor).

This year, three posters are nominated for the ISC 2023 Research Poster Award, sponsored by Springer, the international publisher specializing in science, technology, and medicine. This award recognizes three outstanding research posters selected by members of the posters committee. The winners will be chosen followinga poster pitch. The research poster award includes a cash prize of 500 Euros (first place), 300 Euros (second place), and 200 Euros (third place).

The nominated posters are:

Online Display

All acceptedresearch postersare currently published online. The online displays include theISC Project Postersand theWomen in HPCPosters.

We hope to see you at these sessions to acknowledge the award recipients work.

Join ISC High Performance 2023 and Imagine Tomorrow

ISC 2023 will be held at the Congress Center Hamburg from May 21 25. Join the HPC community of attendees, speakers, and exhibitors. The exhibition will showcase the latest advancements in HPC, encompassing all the key developments in system design, applications, programming models, machine learning, quantum computing, and emerging technologies.

First held in 1986, ISC High Performance distinguishes itself as the worlds oldest and Europes most significant forum for the HPC and related domains.https://www.isc-hpc.com/

Source: ISC Communications Team

Link:
Recognizing Research Excellence and Accomplishments at ISC 2023 - HPCwire

May 19, 2023

BEIJING For decades, artificial intelligence (AI) has captivated humanity as an enigmatic and elusive entity, often depicted in sci-fi films. Will it emerge as a benevolent angel, devotedly serving mankind, or a malevolent demon, poised to seize control and annihilate humanity?

Previous sci-fi movies featuring AI often portray evil-minded enemies set on destroying humanity, such as The Terminator, The Matrix and Blade Runner. Experts, including late British theoretical physicist Stephen Hawking and Tesla CEO Elon Musk, have expressed concern about the potential risks of AI, with Hawking warning that it could lead to the end of the human race. These tech gurus understand the limitations of human intelligence when compared to rapidly evolving technologies like supercomputers, Big Data and cloud computing, and fear that AI will soon become too powerful to control.

In March 2016, AlphaGo, a computer program developed by Google DeepMind, decisively beat Lee Sedol, a 9-dan Korean professional Go player, with a score of 4-1. In May 2017, AlphaGo crushed Kejie 3-0, Chinas then-top Go player. This historic event marked the first time a machine had defeated a human at Go, widely considered one of the most complex and challenging games in the world. The victory shattered skepticism about AIs capabilities and instilled a sense of awe and fear in many. This sentiment was further reinforced when Master, the updated version of AlphaGo, achieved an unprecedented 60-game winning streak, beating dozens of top-notch players from China, South Korea and Japan, driving human players to despair.

These victories sparked widespread interest and debate about the potential of AI and its impact on society. Some saw it as a triumph of human ingenuity and technological progress, while others expressed concern about the implications for employment, privacy and ethics. Overall, AlphaGos dominance in Go signaled a turning point in the history of AI and became a reminder of the power and potential of this rapidly evolving field.

If AlphaGo was an AI prodigy that impressed humans with its exceptional abilities, then Chat GPT, which made its debut earlier this year, along with its more powerful successor GPT, has left humans both awestruck with admiration and fearful of its potential negative impact.

GPT, or Generative Pre-trained Transformer, a language model AI, has the ability to generate human-like responses to text prompts, making it seem like you are having a conversation with a human. GPT-3, the latest version of the model, has 175 billion parameters, making it the largest language model AI to date. Some have claimed that it has passed the Turing test.

Indisputably, AI has the potential to revolutionize many industries, from healthcare and education to finance and manufacturing to transportation, by providing more accurate diagnoses, reducing accidents and analyzing large amounts of data. It is anticipated that AIs rapid development will bring immeasurable benefits to humans.

Yet, history has shown us that major technological advancements can be a double-edged sword, capable of bringing both benefits and drawbacks. For instance, the discovery of nuclear energy has led to the creation of nuclear weapons, which have caused immense destruction and loss of life. Similarly, the widespread use of social media has revolutionized communication, but it has also led to the spread of misinformation and cyberbullying.

Despite their impressive performance, the latest versions of GPT and its Chinese counterparts, such as Baidus Wenxin Yiyan, are not entirely reliable or trustworthy due to fatal bugs. Despite my attempts to request specific metrical poems by famous ancient Chinese poets, these seemingly omniscient chatbots would display fake works they had cobbled together from their database instead of authentic ones. Even when I corrected them, they would continue to provide incorrect answers without acknowledging their ignorance. Until this bug is resolved, these chatbots cannot be considered a reliable tool.

Furthermore, AI has advanced in image and sound generation through deep learning and neural networks, including the use of GANs for realistic images and videos and text-to-speech algorithms for human-like speech. However, without strict monitoring, these advancements could be abused for criminal purposes, such as deepfake technology for creating convincing videos of people saying or doing things they never did, leading to the spread of false information or defamation.

It has been discovered that AI is being used for criminal purposes. On April 25th, the internet security police in Pingliang City, Gansu Province, uncovered an article claiming that nine people had died in a train collision that morning. Further investigation revealed that the news was entirely false. The perpetrator, a man named Hong, had utilized ChatGPT and other AI products to generate a large volume of fake news and profit illegally. Hongs use of AI tools allowed him to quickly search for and edit previous popular news stories, making them appear authentic and facilitating the spread of false information. In this case, AI played a significant role in the commission of the crime.

Due to the potential risks that AI poses to human society, many institutions worldwide have imposed bans or restrictions on GPT usage, citing security risks and plagiarism concerns. Some countries have also requested that GPT meet specific requirements, such as the European Unions proposed regulations that mandate AI systems to be transparent, explainable and subject to human oversight.

China has always prioritized ensuring the safety, reliability and controllability of AI to better empower global sustainable development. In its January 2023 Position Paper on Strengthening Ethical Governance of Artificial Intelligence, China actively advocates for the concepts of people-oriented and AI for good.

In conclusion, while AI is undoubtedly critical to technological and social advancement, it must be tamed to serve humankind as a law-abiding and people-oriented assistant, rather than a deceitful and rebellious troublemaker. Ethics must take precedence, and legislation should establish regulations and accountability mechanisms for AI. An international consensus and concerted action are necessary to prevent AI from endangering human society.

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Taming AI to the benefit of humans - Asia News NetworkAsia News ... - asianews.network

image:Key research areas in evolutionary reinforcement learning. view more

Credit: Hui Bai et al.

Evolutionary reinforcement learning is an exciting frontier in machine learning, combining the strengths of two distinct approaches: reinforcement learning and evolutionary computation. In evolutionary reinforcement learning, an intelligent agent learns optimal strategies by actively exploring different approaches and receiving rewards for successful performance. This innovative paradigm combines reinforcement learning's trial-and-error learning with evolutionary algorithms' ability to mimic natural selection, resulting in a powerful methodology for artificial intelligence development that promises breakthroughs in various domains.

A groundbreaking review article on evolutionary reinforcement learning was published Apr. 21 in Intelligent Computing, a Science Partner Journal. It sheds light on the latest advancements in the integration of evolutionary computation with reinforcement learning and presents a comprehensive survey of state-of-the-art methods.

Reinforcement learning, a subfield of machine learning, focuses on developing algorithms that learn to make decisions based on feedback from the environment. Remarkable examples of successful reinforcement learning include AlphaGo and, more recently, Google DeepMind robots that play soccer. However, reinforcement learning still faces several challenges, including the exploration and exploitation trade-off, reward design, generalization and credit assignment.

Evolutionary computation, which emulates the process of natural evolution to solve problems, offers a potential solution to the problems of reinforcement learning. By combining these two approaches, researchers created the field of evolutionary reinforcement learning.

Evolutionary reinforcement learning encompasses six key research areas:

Evolutionary reinforcement learning can solve complex reinforcement learning tasks, even in scenarios with rare or misleading rewards. However, it requires significant computational resources, making it computationally expensive. There is a growing need for more efficient methods, including improvements in encoding, sampling, search operators, algorithmic frameworks and evaluation.

While evolutionary reinforcement learning has shown promising results in addressing challenging reinforcement learning problems, further advancements are still possible. By enhancing its computational efficiency and exploring new benchmarks, platforms and applications, researchers in the field of evolutionary reinforcement learning can make evolutionary methods even more effective and useful for solving complex reinforcement learning tasks.

Intelligent Computing

Evolutionary Reinforcement Learning: A Survey

21-Apr-2023

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.

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Evolutionary reinforcement learning promises further advances in ... - EurekAlert

The reason why machines are now able to do things that we, their makers, do not fully understand is that they have become capable of learning from experience. AlphaGo became so good by playing more games of Go than a human could fit into a lifetime. Likewise, no human could read as many books as ChatGPT has absorbed.

Its important to understand that machines have become intelligent without thinking in a human way. This realisation alone can greatly reduce confusion, and therefore anxiety.

Intelligence is not exclusively a human ability, as any biologist will tell you, and our specific brand of it is neither its pinnacle nor its destination. It may be difficult to accept for some, but intelligence has more to do with chickens crossing the road safely than with writing poetry.

In other words, we should not necessarily expect machine intelligence to evolve towards some form of consciousness. Intelligence is the ability to do the right thing in unfamiliar situations, and this can be found in machines, for example, those that recommend a new book to a user.

If we want to understand how to handle AI, we can return to a crisis that hit the industry in the late 1980s, when many researchers were still trying to mimic what we thought humans do. For example, they were trying to understand the rules of language or human reasoning, to program them into machines.

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Commentary: AI's successes - and problems - stem from our own ... - CNA