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Media ideology shapes public perception of artificial intelligence – Open Access Government

Virginia Tech Pamplin College of Business researchers Angela Yi, Shreyans Goenka, and Mario Pandelaere explored the impact of political ideology on AI coverage. Their study, Partisan Media Sentiment Toward Artificial Intelligence, reveals that liberal-leaning media and even some aspects of social media express more negativity toward AI than conservative counterparts.

Liberal medias scepticism toward AI is linked to heightened concerns about the technology exacerbating societal biases. The study identifies a focus on racial, gender, and income disparities by liberal outlets, contributing to their more negative portrayal of AI.

The researchers note a shift in media sentiment post-George Floyds death, with increased negativity towards AI. The incident triggered a national conversation about social biases, intensifying media concerns about AIs role in perpetuating societal inequalities.

Findings suggest that partisan media sentiment influences public opinion on AI, potentially impacting policymaking. Angela Yi highlights the power of media sentiment in shaping public perception. She calls for further exploration into how social media conversations about AI may evolve based on these partisan differences.

Based on a dataset of over 7,500 articles, the study refrains from prescribing an optimal stance but emphasises recognising and understanding these ideological differences in media discourse.

In conclusion, Virginia Techs research illuminates the significant role political ideology plays in shaping public narratives around artificial intelligence. As media sentiment influences public opinion, the findings underscore the potential impact on policymaking. Acknowledging these ideological differences is crucial for fostering a nuanced understanding of AI and its societal implications.

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Mind the Machines: The Urgent Need to Regulate Artificial … – Brown Political Review

Over the past decade, society has witnessed the rising presence of artificial intelligence (AI) technology. At this point, AI has garnered an expected compound annual growth rate of 37.3 percent from 2023 to 2030. While it has helped to enhance productivity and decision-making processes, the possibility of its malicious use is rising, prompting much unease. These concerns are particularly relevant to Americans as in the next five years, it is expected that the United States AI market will grow to a value of $223.40 billion. As the United States is undoubtedly in the competition to become the worlds AI hub, we must ask: How successful are we in regulating its use?

With Americas two major political rivals, China and Russia, viewing AI as the new global arms race, it is imperative now more than ever that the US consider this question. Up until March 3, 2023, no bill, whose primary aim is to protect or thwart the development of AIs potentially dangerous aspect had been proposed. This lack of regulation can be primarily attributed to the deep lack of familiarity with AI in American governing bodies. The only member of Congress that brandishes any academic background in the field is Rep. Jay Obernolte (R-CA), who received a masters degree in Artificial Intelligence from the University of California, Los Angeles. In fact, Congressman Obernolte further reaffirms that it is surprising how much time [he] spend[s] explaining to [his] colleagues that the chief dangers of AI will not come from evil robots with lasers coming out of their eyes.

The AI sector is subject to constant change, growth, and ultimately, evolution. It goes without saying that the threats posed by AI also behave similarly. How can the United States be expected to be up to date on and regulate this technology if the people making and improving laws and regulations are not equipped with the knowledge necessary to understand the capacity of AI?

While it is commendable that some members of Congress, like Rep. Don Beyer (D-VA) who is currently pursuing a masters degree in AI from George Mason University, aim to develop their understanding of AI and apply it to their legislative work, the fact remains that it is unrealistic to expect all of Congress to do the same.

"The future of regulating AI is rooted in technical understanding in order to ensure that the solutions are sustainable and feasible."

Currently, the United States displays a certain degree of divisiveness between its technological and legislative institutions. This is especially evident in the purpose of two separate organizations: the Cybersecurity and Infrastructure Agency (CISA) and Congress. While the CISA is grounded in employing technological solutions to combat cybersecurity risks, lawmakers primarily rely on their potential strengthening of existing policies to overcome technological threats. The two are distinguished in the sense that the CISAs technocentric stance suggests that it believes in fighting technological threats with technology, while the law-making process employs a more anthropocentric viewpoint, holding human beings accountable for their use of technology.

The key difference? CISA is equipped with individuals that demonstrate a superior understanding of the technological fielda crucial feature lacking in Congress. While lawmakers have taken steps to address their lack of AI knowledge by establishing an apolitical and nonpartisan Technology Policy Committee in the Senate which regularly educates and informs Congress, the Administration, and the courts about significant developments in the computing field and how those developments affect public policy in the United States, it is not enough. The Technology Policy Committee is a step in the right direction, however, there is only so much that policymakers can do with information regarding technological developments they do not fully understand. Questions like What are the implications and the scope of AI technological developments on current policies? can only be answered when there is an understanding of both technology and policymaking.

To combat the threats of AI, it is critical that solutions are rooted in an understanding of technologys inner mechanisms. This can be accomplished through the implementation of a government body that serves as an intersection of technology and policy making. I would like to refer to this as the Technocentric Coalition of Lawmakers (TCL). This would be a body of individuals that have an academic background in a technology-related field (Computer Science, Data Science, Artificial Intelligence, Computer Engineering, and so on) and an interest in policymaking thought processes. Leading by example is the European Union, which pioneered to protect its general public from the dangers of AI through the introduction of the Artificial Intelligence Liability Detective. This law seeks to establish rules that would govern the preservation and disclosure of evidence in cases involving high-risk AI. Such examples demonstrate the potential for the regulation of AI globally. They elucidate that the future of regulating AI is rooted in technical understanding in order to ensure that the solutions are sustainable and feasible.

The solution I propose does not involve a singular law, but rather the establishment of a committee specifically dedicated to regulating AI as the field is one that is constantly evolving and growing. Therefore, AI and the threats associated with it demand a committee that is able to keep up with the technologys growth and evolution, which a written law on its own would not accomplish without constant amendments.

How would the logistics of the TCL work? Considering that democracy is rooted in Americas foundational values, it is only fitting that the formation of the TCL would involve an election as opposed to an appointment. Eligible candidates must have acquired at least a college-level degree in a technological field, in addition to the qualifications required to be elected as a representative to the US Senate. It is important to note that in this manner, the TCL functions as a permanent subcommittee of the Senate, regardless of the party leading the country. In addition, it will have a representative from every state, ensuring that the needs and concerns of AI pertaining to every state have a platform where they can be heard and addressed. As such, the TCL seeks to regulate AI in a manner that promotes bipartisan and interstate collaboration, cooperation and compromise, promoting a responsible and secure use of AI nationwide.

The current institutions in the United States relevant to the technology space serve as an advisory board. The TCL does not seek to replace these bodies. Instead, it aims to distinguish itself from the existing bodies by remaining active at the heart of policy-making. This body would have the power and capacity to formulate informed laws that prevent AI from being used with malicious intent. It would serve as a symbol of growth and the evolution in the nations legislative system into one that is equipped to keep pace with todays rapidly advancing tech space. With great power comes great responsibility, and it is time we harness the potential of Artificial Intelligence in a responsible manner.

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The EU Artificial Intelligence Act, and what it may mean for … – Lexology

The European Parliament and the Council of the European Union are currently discussing the European Commissions proposed Artificial Intelligence Act. The objective of the act is to promote the uptake of artificial intelligence, while at the same time also addressing the risks associated with certain uses of the technology.

Whilst the proposed new law aims to impose the new rules without prejudice to the application of Union competition law, it is likely to have a significant impact on the procedural and investigative powers of competition agencies.

This briefing provides a brief introduction to the proposed law and considers the implications of its implementation for competition law in Ireland.

Introduction to the AI Act

As part of the European Unions Digital Strategy aimed at enabling Europes digital transformation, and further to President von der Leyens political commitment to put forward legislation for a coordinated European approach on the human and ethical implications of artificial intelligence (AI), the Artificial Intelligence Act (the AI Act) will be the worlds first comprehensive AI law. If adopted, it will have direct effect in Ireland and the regulation will automatically become part of Irish law.

The AI Act aims to ensure the proper functioning of the single market by creating the conditions for the development and use of trustworthy AI systems in the Union. It proposes to achieve this by:

The European Commission draft proposes providing supervisory agencies with procedural powers that will have implications for national competition authorities across Europe, by indirectly extending the investigative powers of those authorities.

In order to enable designated national supervisory authorities to fulfil their obligations, the European Commission draft of the AI Act provides that they will have, inter alia:

full access to the training, validation and testing datasets used by the provider including through application programming interfaces (API) or other appropriate technical means and tools enabling remote access.

In addition, the European Commission proposes, in its draft of the AI Act, to provide surveillance authorities with the power, upon reasoned request, to obtain access to the source code of the AI system (where it is deemed necessary). The European Parliament has sought to limit these provisions, by replacing the power to request access to source code with a power to request access to training and trained models of the AI system, including its relevant source parameters, and requiring that all other reasonable ways to verify conformity be exhausted before such access is requested.

Article 63 of the European Commission draft AI Act requires that the national supervisory authorities without delay report to both the Commission and national competition authorities, any information identified in the course of market surveillance activities that may be of interest for the application of Union law on competition rules. Access to this type of data will be significant for competition authorities.

Implications for the enforcement of competition law

Competition agencies are usually only able to compel information from companies, by way of a formal information request, when they suspect that an infringement of competition law has occurred. A similar approach is adopted in the Digital Markets Act (DMA), which gives the Commission power to carry out inspections and request information where it suspects an infringement of the DMA. However, per the European Commission draft of the AI Act, the bar for obligating the sharing of information gathered by the national supervisory authorities with the competition agencies, appears to be much lower, and arises regardless of whether any infringements are suspected or alleged.

The draft AI Act provides the national supervisory authorities access to data for the process of carrying out the required conformity checks. It requires that they supply this data to the competition agencies when it may be of interest to them. There is no requirement that there be any suspicions of anti-competitive conduct. In a world where companies are increasingly utilising algorithms to make competitively strategic decisions, it is not difficult to imagine that there may be a lot of information available to the national supervisory authorities that would be of interest to their competition law enforcement colleagues.

Implications for business

As currently drafted, the obligations of the AI Act will apply on a sliding scale based on the potential risks posed by the intended use of the particular AI system:

Companies with high-risk AI systems that require conformity assessments must be prepared to make the required data available, knowing that it may be provided to their national competition agency and/or the European Commission. Whilst it is not yet clear when the AI Act will come into force, before it does, given the structural interlinking of competition concerns in the draft legislation, such companies should take steps to understand if, and to what degree, that could expose them to the risk of an investigation by the relevant competition authority, and where necessary, take pre-emptive steps to minimise that risk.

Also contributed to by Beverley Williamson

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Artificial Intelligence Could Impact Black voting during 2024 Elections – MSR News Online

For much of the last century, segregationists and their anti-Black racist allies who were intent on ensuring that African Americans couldnt exercise the right to vote, erected an assortment of barriers to that end.

Segregationists used the courts, local and state laws, literacy tests, poll taxes, fraud, brute force, violence and intimidation by the Ku Klux Klan to impede and prevent Black people from exercising their Constitutional right.

In the 21stcentury, voter suppression has gone high-tech with the same characters still plotting to control who votes, when and how. They are employing an assortment of methods including artificial intelligence (AI). Concerns about misuse of AI in the electoral ecosystem is what brought Melanie Campbell and Damon T. Hewitt to testify before the U.S. Congress.

Campbell, president and CEO of the National Coalition on Black Civic Participation (NCBCP) and convener of the Black Womens Roundtable (BWR), spoke of the urgency around creating safeguards and federal legislation to protect against the technologys misuse as it relates to elections, democracy, and voter education, while fighting back against the increasing threats surrounding targeted misinformation and disinformation.

AI has the potential to be a significant threat because of how rapidly its moving, Campbell said. There was Russian targeting of Black men with misinformation in 2020 to encourage them not to vote. It started in 2016.

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Both civil rights leaders warned that misinformation driven by artificial intelligence may worsen considerably for African American voters leading up to the 2024 presidential election.

What we have seen through our work demonstrates how racial justice, voting rights, and technology are inextricably linked, said Hewitt, president and executive director of the Lawyers Committee for Civil Rights Under Law during his testimony.

Voters of color already face disproportionate barriers to the ballot box that make it more difficult and more costly for them to vote without factoring in the large and growing cost of targeted mis- and disinformation on our communities.

Campbell and Hewitt said that during recent election cycles, African Americans have been specifically targeted by disinformation campaigns. The pair referred to a lawsuit, NCBCP vs. Wohl, filed by the Lawyers Committee and involving NCBCP which was a plaintiff two men who targeted Black voters in New York, Pennsylvania and Ohio disinformation via robocalls in an effort to sway the outcome of the 2020 Elections.

The goal was to discourage African Americans from voting by mail, lying that their personal information would be added to a public database used by law enforcement to execute warrants; to collect credit card debts; and by public health entities to force people to take mandatory vaccinations.

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These threats played upon systemic inequities likely to resonate with and intimidate Black Americans, Hewitt said. The methods used for those deceptive robocalls in 2020 look primitive by 2023 standards.

Campbell concurred. She said AI would allow this type of weaponization to be more significant using texts, video and audio.

AI increases the ability to do that in larger formats she said. You have open source where just about anyone who wants to can use AI for nefarious means. There is a lot of angst with those doing voting rights and elections work.

Campbell and Hewitt agree that the exploding capabilities of AI technology can drastically multiply the amount of harm to American democracy. Campbell adds that Google, Microsoftand Meta are the front-line companies who activists hope will step up and put guardrails in place before the 2024 elections is overwhelmed by AI-driven misinformation and disinformation.

In malicious hands and absent strong regulation, AI can clone voices so that calls sound like trusted public figures, election officials, or even possibly friends and relatives, said Hewitt. The technology could reach targeted individuals across platforms, following up the AI call with targeted online advertisements, fake bot accounts seeking to follow them on social media, customized emails or WhatsApp messages, and carefully tailored memes.

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AI regulation should include transparency and explainability requirements so people are made aware of when, how, and why AI is being used to ensure that it is not used to grab data from those who have not given their consent. Voter information should not be tied to private information to target voters without safeguards.

The effort being led by the Lawyers Committee and the NCBCP comes against the backdrop of similar alarm from the Biden administration, some lawmakers and AI experts who fear that AI will be weaponized to spread disinformation to heighten the distrust that significant numbers of Americans have towards the government and politicians.

President Joe Biden recently signed whats described as a sweeping executive order that focuses on algorithmic bias, preserving privacy and regulation on the safety of frontier AI models. The executive order also encourages open development of AI technologies, innovations in AI security and building tools to improve security.

Vice President Kamala Harris echoed others concerned about this issue who fear that malevolent actors misusing AI could upend democratic institutions and cause Americans confidence in democracy to plunge precipitously.

When people around the world cannot discern fact from fiction because of a flood of AI-enabled disinformation and misinformation, I ask, Is that not existential? Harris said in a speech at the 2023 AI Safety Summit in London, England. Harris concluded, Were going to do everything we can. This is one of the biggest concerns most people have.Barrington Salmon is an NNPA contributing writer. This commentary was edited for length.

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The Top 2 Artificial Intelligence (AI) Companies Revolutionizing the … – The Motley Fool

Artificial intelligence (AI) and machine learning (ML) are more than just buzzworthy terms for some cutting-edge companies. They are the foundations on which incredible businesses have been built. Even better, some of these companies make hay in industries essential to the economy.

Cybersecurity is top of mind for C-suite executives in all industries, government agencies, school districts, and even nonprofits. Cybercriminals are always on the prowl, costing organizations billions each year. IBM notes that up to 90% of cyberattacks and 70% of breaches come through endpoint devices.

AI-powered CrowdStrike Holdings (CRWD 0.50%) is the leader in endpoint security with a comprehensive, entirely cloud-based platform. The company's results are on fire, as I'll discuss below.

Meanwhile, data centers are crucial for cloud applications, data storage, computing power, and (definitely) complex AI and ML software that require massive computing power. Nvidia (NVDA -1.93%) is light-years ahead of its competition, and its data center software and hardware are mission critical. This is why its data center revenue rose 171% year over year last quarter to $10.32 billion.

CrowdStrike provides comprehensive security with its Falcon platform. The advantages are several: Falcon is cloud-native (no on-premises hardware required), customizable, and uses AI to analyze data and provide real-time protection.

The platform is modular, so customers can choose which modules they want or need. This plays into CrowdStrike's land-and-expand strategy: It gains a customer, proves the platform's worth, and then the customer adds more modules -- creating more revenue.

This shows up in the company's dollar-based net retention rate (DBNR), which has been above 120% dating back to the first quarter of fiscal 2019. DBNR measures the year-over-year increase in sales from an average customer. Above 100% is good, and above 120% is excellent.

You can probably guess how the chart of annual recurring revenue (ARR) growth looks:

Source: CrowdStrike.

The meteoric rise to $2.9 billion in ARR has enabled CrowdStrike to generate $416 million in free cash flow through the second quarter of this 2024 fiscal year and stack up $3.2 billion in cash against $742 million in long-term debt. Having cash on hand to fund growth is crucial in this environment, and the company likely won't have to borrow money at unfavorable interest rates.

CrowdStrike has a market cap near $50 billion, about 16 times Wall Street estimates for sales this fiscal year (which ends Jan. 31, 2024), and 13 times Wall Street estimates for the next fiscal year. That's not necessarily cheap (great companies usually aren't), but it is less than other growth companies like Snowflake and Palantir Technologies. In short, it's a great company, but consider dollar-cost averaging to take advantage of dips in the stock price along the way.

Nvidia is top of mind as investors await Tuesday's 2024 third-quarter earnings report. The stock is near another all-time high after a brief pullback recently. It has risen 237% so far in 2023 for a simple reason: Business is absolutely booming.

At the top, I mentioned the rise in data center sales, and this demand gives it pricing power in the industry. So profits and margins are soaring alongside revenue, as shown below.

NVDA operating income (quarterly) data by YCharts.

The company more than doubled operating revenue from the first quarter to the second this year, and its 50% margin is spectacular. Unfortunately, the secret is out, and the stock isn't cheap. Nvidia needs to continue raising Wall Street's estimate to maintain its valuation.

Nvidia's current price-to-earnings (P/E) ratio is 119, ridiculous on the surface. But the P/E is backward-looking -- it uses earnings that have already happened, while Wall Street is about the future. Based on the market's estimates for next year, the P/E falls to 45, then to 29 the following year. This is nearly identical to Microsoft's current valuation, as shown below.

NVDA PE ratio (forward 1 year) data by YCharts.

This tells me that the stock isn't tremendously expensive; however, Nvidia must push the envelope to give investors more juicy gains.

Bradley Guichard has positions in CrowdStrike and Nvidia and has the following options: long September 2024 $630 calls on Nvidia. The Motley Fool has positions in and recommends CrowdStrike, Nvidia, Palantir Technologies, and Snowflake. The Motley Fool recommends International Business Machines. The Motley Fool has a disclosure policy.

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Artificial Intelligence Has Landed in the Watch Industry – PR Web

For a smarter approach to watch collecting, explore everywatch.com today

After more than 2 years of research and development, EveryWatch is being deployed to serve as the one-stop information and analysis platform for the watch market. The platform includes a historical watch sale database with actual sales prices of over 500,000 watches and aggregates new watches coming on to the market in real time from over 250 auction houses and 150 online marketplaces and dealers. The platform also includes a trove of tools to analyze trends and statistics to understand the value and trends of specific watches or a full collection. Users also have the ability to save detailed searches and receive notifications when watches that match the specific search characteristics are made available for sale anywhere in the world.

"I am excited to see EveryWatch completing the watch ecosystem as the largest watch database, providing accurate and reliable pricing information to the watch community. EveryWatch allows to make educated decisions about pre-owned watches quickly and with confidence." Chabi Nouri, Chairperson of the Board of EveryWatch and former CEO of Piaget.

Davide Parmigiani, Chairman of Monaco Legend Auction House and collector, commented, "EveryWatch is the epitome of efficiency. As auctioneers, we can now easily and quickly value watches and identify trends. And as a collector, I can now track the value of my full collection daily and also be notified when the watch I have been looking to buy for years comes on to the market."

The platform was created by Nacre Capital, a venture builder focused on building AI based deep technology companies. The Nacre portfolio, includes FDNA, providing solutions to detect rare diseases in children using AI, which are used in leading hospitals globally; Fairtilty, transforming IVF using AI, Seed-X, an AI based agtech company and many others.

EveryWatch was conceived by leading tech investors and watch professionals, including Howard Morgan, Chairman of Nacre, co-founder of Renaissance Capital and First Round Capital, early investor in Uber, LinkedIn, Square and other companies; Chabi Nouri, former CEO of Piaget; Alexander Friedman, collector, founder of AF. Luxury Consulting and the AF. Watch Report; and other leading collectors and tech leaders, to address the lack of reliable, verified information in the second-hand watch market. EveryWatch serves as the one-stop shop information platform where anyone can easily find any second-hand watch currently available for sale and understand price trends and the real going market rate for any luxury watch ever created.

Media Contact

EveryWatch PR, EveryWatch, 39 3466079308, [emailprotected], https://everywatch.com/

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How an ‘internet of AIs’ will take artificial intelligence to the next level – Cointelegraph

HyperCycle is a decentralized network that connects AI machines to make them smarter and more profitable. It enables companies of all sizes to participate in the emerging AI computing economy.

Artificial intelligence (AI) is a rapidly evolving field that seems likely to fall into the hands of major companies or organizations with nationally driven budgets. One might think that only these have the massive financial resources to generate the computing power to train and ultimately own AI.

Recent events at OpenAI, a developer of the AI chatbot ChatGPT, highlight the challenges of centralized AI development. The firing of CEO Sam Altman and the resignation of co-founder Greg Brockman raise questions about governance and decision-making in centralized AI entities and highlight the need for a more decentralized approach. Srinivasan Balaji, a former chief technology officer at Coinbase, has become a staunch proponent for increased transparency in the realm of AI, advocating for the adoption of decentralized AI systems.

In addition to centralization, theres a lot of fragmentation in the AI space, meaning cutting-edge systems are unable to communicate with one another. Moreover, a high degree of centralization brings considerable security risks and reliability issues. Plus, given the vast amounts of computing power needed, efficiency and speed are key.

To achieve the full potential of AI that answers to all of humanity, we need a different approach one that decentralizes AI and allows AI systems to communicate with each other, eliminating the need for intermediaries. This would increase AI systems time to market, intelligence and profitability. While many systems are currently specialized in specific tasks, such as voice or facial recognition, a future shift to artificial general intelligence could allow one system to undertake a wide range of tasks simultaneously by delegating those tasks to multiple AIs.

As mentioned above, currently, the AI industry is dominated by large corporations and institutional investors, making it difficult for individuals to participate. HyperCycle, a novel ledgerless blockchain architecture, emerges as a transformative solution, aiming to democratize AI by establishing a fast and secure network that empowers everyone, from large enterprises to individuals, to contribute to AI computing.

HyperCycle is powered by a layer 0++ blockchain technology that enables rapid, cost-effective microtransactions between diverse AI agents interconnected to each other, and collectively solving problems.

This internet of AIs allows systems to interact and collaborate directly without intermediaries. It addresses the challenges of overcoming the slow, costly processes of the siloed AI landscape.

This is particularly timely, as the number of machine-to-machine (M2M) connections globally is increasing rapidly.

For instance, existing companies could interact with HyperCycles AIs specializing in IoT, blockchain, and supply chain management to optimize logistics for clients, predict maintenance before breakdowns occur, and ensure seamless data integrity. By enabling this interconnected ecosystem of decentralized A Is, HyperCycle can lead to operational efficiency and innovation in service offerings.

HyperCycle has also partnered with Penguin Digital to create HyperPG, a service that connects all the network beneficiaries together. HyperPG uses Paraguays abundant hydropower to provide a green and efficient source of energy for AI computing.

One of HyperCycles key features is the HyperAiBox, a plug-and-play device that allows individuals and organizations to perform AI computations at home and reduces their reliance on large corporations with vast data centers. The compact box is about the size of a modem, has a touchscreen, and allows nodes to be operated from home and network participants to be compensated for the resources they provide to the network. It is also a low-power solution.

The launch of HyperCycles mainnet, ahead of schedule, highlights the networks rapid growth. Currently, over 59,000 initial nodes are providing Uptime to the network by covering operational expenses. An additional 230,000 single licenses will soon join the ecosystem. This expansion indicates a strong demand for over 295 million HyPC tokens, reflecting the networks engagement and growth.

The three key metrics of Uptime, Computation, and Reputation incentivize node operators to maintain high standards, ensuring a stable, secure, and decentralized network environment.

Since June 2023, HyperCycles network has been operational, scaling up as demand increases. Source: HyperCycle

AI remains at a nascent stage, but HyperCycles goal is to anticipate the challenges that might stand in this technologys way and break down barriers to entry, making AI more accessible and affordable to everyone.

Disclaimer. Cointelegraph does not endorse any content or product on this page. While we aim at providing you with all important information that we could obtain in this sponsored article, readers should do their own research before taking any actions related to the company and carry full responsibility for their decisions, nor can this article be considered as investment advice.

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1 Surprising Artificial Intelligence (AI) Growth Stock to Buy Before It … – The Motley Fool

Many investors have lost interest in Zoom Video Communications (ZM 1.10%) since the pandemic faded, and I doubt many consider it a worthwhile artificial intelligence (AI) stock today. But Cathie Wood's Ark Invest remains very bullish. The firm has 4.6% of its invested assets in Zoom, and the stock is the sixth-largest holding across its portfolio of innovation-focused index funds.

That conviction may surprise some investors, but Ark published a valuation model last year that posits substantial growth opportunities in AI-enabled communications software driven by digital transformation and increasingly mobile workforces. Wood and her team believe Zoom could trade at $1,500 per share by 2026, implying 2,175% upside from its current price.

Here's what investors should know.

Zoom grew at an incredible pace during the pandemic, so much so that its revenue run rate reached $2 billion faster than any other software company in history. That sent the stock into the stratosphere. But sales growth has since decelerated sharply, and the stock has fallen 88% from its all-time high in October 2020.

Yet, the investment thesis for Zoom has actually gotten stronger as its portfolio has expanded over the last three years. The company is best known for its market-leading videoconferencing application Zoom Meetings, but its platform also includes an enterprise phone system, contact center software, and messaging capabilities, among other communications products.

Zoom has also developed several adjacent artificial intelligence (AI) tools that boost productivity and automate various workflows across its platform, including:

Collectively, Zoom says those products will address a $125 billion market in 2026. Management attributes most of that sum to Zoom Meetings (36%) and Zoom Phone (30%), though Zoom Contact Center (17%) and adjacent AI products (15%) are also significant growth opportunities.

Notably, consultancy Gartner has recognized Zoom as a leader in unified communications for three consecutive years, and the most recent report identified the brand authority of Zoom Meetings, the rapid growth of Zoom Phone, and the somewhat recent release of Zoom Contact Center as key strengths.

Zoom has a strong presence in a large market, but its financial results have been consistently mediocre and the company failed to break that mold with its third-quarter report. Enterprise customers increased only 5%, and the average enterprise customer spent just 5% more. Growth in both metrics reached an all-time low.

Additionally, online/self-service customer churn continued to improve, but sales in that cohort still declined 2% during the third quarter. As a result, total revenue rose only 3% to $1.1 billion, a deceleration from 4% revenue growth last quarter and 5% revenue growth last year.

There were a few bright spots, though. Non-GAAP net income jumped 24% to $401 million as the company kept expenses in check, Zoom Phone reached 7 million paid seats (up from 4 million five quarters ago), and Zoom Contact Center surpassed 700 customers (up from 500 last quarter).

Momentum in Zoom Phone and Zoom Contact Center is particularly encouraging because those products represent substantial upsell opportunities. Specifically, Zoom reported 219,700 enterprise customers in the second quarter, but less than 15% use Zoom Phone and less than 1% use Zoom Contact Center.

Here's the bottom line: Investors should expect more lackluster results in the coming quarters, but top-line growth could accelerate meaningfully once Zoom Phone and Zoom Contact Center reach critical mass and become larger contributors to total revenue. And adjacent AI software and future product launches -- such as the recently announced AI-enabled collaboration tool, Zoom Docs -- leave room for additional upside.

Ark Invest's valuation model for Zoom posits that strong adoption of its core communications software and adjacent AI products could drive sales to $52 billion in 2026. That forecast implied annual revenue growth of 66% when the valuation model was published last year, but it now implies annual revenue growth of 112%, which is nonsensical at this point.

Morningstar analyst Dan Romanoff has more measured expectations. He believes adoption of Zoom Phone and Zoom Contact Center will push revenue growth back into the double digits in the medium term, resulting in a compound annual growth rate of 7% over the next five years.

In that context, the current valuation of 4.3 times sales looks reasonable. Investors should consider buying a small position in this growth stock today.

Trevor Jennewine has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Zoom Video Communications. The Motley Fool recommends Gartner. The Motley Fool has a disclosure policy.

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His team is using artificial intelligence to help kill cancer – CBC.ca

Kitchener-Waterloo Video

Posted: November 23, 2023 Last Updated: November 23, 2023

A robotic armdeveloped by researchers at the University of Waterlooaims tohelp doctors more efficiently kill cancerous tumours using artificial intelligence.

It works by helping guide doctors to more accurately focus high-intensity focused ultrasound treatment or HIFU on cancerous tumours, limiting the amount of damage done to healthy, non-cancerous cells.

Moslem Sadeghi Goughari,the research lead behind the project, said therobotic arm is the first to use artificial intelligencein this way.

"Artificial intelligence right now is an accepted technology forhealthcare.It's currently used,for example, for cancer diagnosis.But in terms of the HIFU monitoring, we are the first group of people that's using A.I. for this procedure," he said.

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He said his team hasdeveloped the first AI-powered ultrasound imaging systemfor non-invasive cancer treatment.

HIFUis a minimally invasive medical procedure that is used to treat tumoursusing ultrasound waves that heat and kill cancer cells.

The robotic arm that Sadeghi Goughari and his team created will allow doctors to more accurately monitor the progress of HIFU treatment as it is happening. This is made possible by equipping the robotic arm with artificial intelligence.

"Ultrasound imaging [in HIFU]is not easy fordoctors. They need higher skills, they need training and it's not really accurate because it depends on the skill of the doctorif they can detect the updated area," he said.

"Technically, it's consideredthe biggest barrier for the HIFU treatment."

Sadeghi Gougharisaidbecause the robotic arm reduced damage to non-cancerous, healthy cells, patients willhave a shorter recovery time of two days, compared to the average of 10 days needed to recover after each HIFU treatment session.

Sadeghi Goughari said there are some downsides to using AI because the accuracy of the robot depends on the data used to train it.

"That's why at this stage, in our lab, we're using this technology on the in-vitro medium. It's not on live tissue," he said.

To fix that, the team is working on getting more accurate data from a doctor and researcher they have partnered with in South Korea.

The next step after that is to do more testing and receive FDA approval before the robot is available for cancer treatment at local hospitals.

"The problem we are solving is the problem that everyone in ...the field of non-invasive treatment is talking about," Sadeghi Goughari said.

Aastha Shetty CBC journalist

Aastha Shetty can be reached via email aastha.shetty@cbc.ca or by tweeting her at @aastha_shetty

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Researchers Debunk Myth Of Rogue Waves Using Artificial … – Marine Insight

Scientists at the University of Victoria and the Niels Bohr Institute at the University of Copenhagen have debunked the myth of rogue waves by using artificial intelligence (AI) to create a predictive model.

The researchers used machine learning to identify the elements that lead to the formation of rogue waves using data from over a billion waves and 700 years of wave height and sea state measurements.

Rogue waves are typically large, erratic waves that pose a severe risk to people and ships in the water. Most of the time, it also happens that theres no mark of a vessel, and the sailors disappear.

Unlike conventional wisdom, which holds that rogue waves arise from waves merging and stealing each others energy, the study identifies linear superposition as the main contributing factor.

This happens when two wave systems collide, temporarily strengthening one another and setting the stage for extraordinarily massive waves.

The researchers discovered that anomalous waves, which include extreme rogue waves that are longer than twenty meters, happen frequently.

Their dataset contained about 100,000 occurrences or about a monster wave daily at any ocean location.

The created algorithm gives the shipping sector a real benefit by making it possible to forecast when rogue waves will occur. Shipping Companies can use the algorithm to plan their routes and evaluate risks.

Research lead author Dion Hfner highlights that the algorithms transparency distinguishes it from many AI models and helps users understand the estimated risk based on multiple factors, including sea state, water depths, bathymetric data and ocean movements.

As the model is modified, it will be able to offer in-the-moment evaluations of the threat posed by rogue waves, assisting mariners all over the world in making safer and more expert choices.

References- Mirage News, CTV News

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Researchers Debunk Myth Of Rogue Waves Using Artificial ... - Marine Insight

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