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Category Archives: Artificial Intelligence

This Generative Artificial Intelligence (AI) Growth Stock Has Jumped 86% in a Year. Here’s Why It Can Skyrocket … – The Motley Fool

Posted: February 20, 2024 at 6:55 pm

This Generative Artificial Intelligence (AI) Growth Stock Has Jumped 86% in a Year. Here's Why It Can Skyrocket ...  The Motley Fool

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This Is What Vitalik Buterin Thinks About Artificial Intelligence (AI) – BeInCrypto

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Ethereum co-founder Vitalik Buterin has recently highlighted an innovative artificial intelligence (AI) application. This idea, designed for the formal verification of code and bug detection, aims to tackle Ethereums susceptibility to code bugs.

Buterins support for these solutions reflects the growing synergy between AI and blockchain technologies.

Given the increasing complexity of cyber threats, AIs role in bolstering cybersecurity has become crucial. This is especially true for the Decentralized Finance (DeFi) and smart contract ecosystem, which has billions in total value locked (TVL).

Even giants in the tech industry, such as Microsoft and OpenAI, are trying to enhance cybersecurity with AI. They are exploring AIs potential in both identifying and countering cyber threats. Their collaborative efforts are part of a larger initiative to ensure AI is used responsibly and to enhance cybersecurity measures.

Buterins perspective on artificial intelligence extends beyond cybersecurity. Earlier this year, he shared four innovative ideas for integrating AI with cryptocurrency. These concepts suggest a future where AI and blockchain technology work hand in hand.

One application of AI that I am excited about is AI-assisted formal verification of code and bug finding. Right now Ethereums biggest technical risk probably is bugs in code, and anything that could significantly change the game on that would be amazing, Buterin said.

Another notable idea is the inclusion of AI in blockchain systems, particularly in prediction markets. AI could leverage its vast knowledge in these markets for in-depth analysis, enhancing blockchain applications.

Read more: AI for Smart Contract Audits: Quick Solution or Risky Business?

Furthermore, Buterin envisions AI as a user interface that could simplify cryptocurrency transactions for users. This interface could provide guidance, interpret smart contracts, and prevent scams. Despite the potential benefits, Buterin warns against over-reliance on AI. He advocates for a balance with traditional interfaces to ensure user security and clarity.

Vitalik Buterin also proposes using artificial intelligence to set rules for blockchain games or decentralized autonomous organizations (DAOs). In this scenario, AI could act as a judge or a reference for rules. Another innovative idea is the development of AI systems using blockchain technology. This approach aims to create decentralized, impartial, and secure AI systems.

The enthusiasm for AI in the cryptocurrency sector has led to a surge in AI-related tokens, particularly following the announcement of OpenAIs text-to-video AI model, Sora. Tokens associated with AI or claiming to utilize AI technology, such as Worldcoins WLD, have seen significant price increases, with some tokens setting new all-time highs.

Another AI token, The Graph (GRT), saw an almost 60% increase, briefly surpassing $0.27. Despite these gains, GRT remains significantly down from its all-time high.

Render (RNDR) has also made headlines by entering the crypto markets top 50 following a year-on-year gain of 1,100%. Currently trading close to its all-time high, RNDR exemplifies the potential for AI tokens to achieve new milestones.

Read more: 13 Best AI Crypto Trading Bots To Maximize Your Profits

The surge in AI tokens is not limited to the crypto market. It also mirrors the performance of major AI players in traditional finance, such as Nvidia. Nvidias shares have surged by over 45% since the beginning of the year, contributing significantly to the S&P 500s growth and further fueling the AI token rally.

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AI researchers discuss risks and potential regulations suggest putting the brakes on the compute hardware as one … – Tom’s Hardware

Posted: at 6:55 pm

A combination of researchers from OpenAI and various universities have banded together to release a 104-page PDF document to encourage AI compute regulation by regulating the hardware itself, including the potential application of kill switches where an AI is being used for malicious purposes. The original PDF file was released online by University of Cambridge with a Valentine's Day post.

The PDF, titled "Computer Power and the Governance of Artificial Intelligence", discusses how PC compute power (i.e., GPU power) is leveraged for AI workloads. It then goes on to observe that since AI PC hardware has a high degree of supply chain concentration from just a few vendors, applying regulations to that hardware should be a lot easier.

In the "Risks of Compute Governance and Possible Mitigations" section, researchers detail some potential risks of AI before recommending potential solutions. We'll summarize some key points from this section below.

As far as potential solutions to these problems go, the paper proposes a fairly wide variety of different approaches and concerns that come with them. One of these solutions is a global registry of AI chips and unique identifiers for each, which could help limit smuggling and illegitimate use.

"Kill switches," which could be used to remotely deactivate AI hardware being used for malicious purposes, are also discussed as a possible solution within the paper. Though, solutions like this also pose their own risk, since a cybercriminal gaining control of that kill switch could use it to disable legitimate users. Also, it assumes the AI hardware will be accessible to outside entities, which may not be true.

As the technology and policy around artificial intelligence continues to evolve, time will tell just how power over this supposed new frontier will end up consolidating. It seems that quite a few AI experts, including OpenAI researchers, are hoping more of that power ends up in the hands of regulators, considering the dangers of the alternative.

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How AI-generated deepfakes threaten the 2024 election – Journalist’s Resource

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Last month, arobocall impersonating U.S. President Joe Biden went out to New Hampshire voters, advising them not to vote in the states presidential primary election.The voice, generated by artificial intelligence, sounded quite real.

Save your vote for the November election, the voice stated, falsely asserting that a vote in the primary would prevent voters from being able to participate in the November general election.

The robocall incident reflects a growing concern that generative AI will make it cheaper and easier to spread misinformation and run disinformation campaigns. The Federal Communications Commission last week issued a ruling to make AI-generated voices in robocalls illegal.

Deepfakes already have affected other elections around the globe. In recent elections in Slovakia, for example, AI-generated audio recordings circulated on Facebook, impersonating a liberal candidate discussing plans to raise alcohol prices and rig the election. During the February 2023 Nigerian elections, an AI-manipulated audio clip falsely implicated a presidential candidate in plans to manipulate ballots. With elections this year in over 50 countries involving half the globes population, there are fears deepfakes could seriously undermine their integrity.

Media outlets including the BBC and the New York Times sounded the alarm on deepfakes as far back as 2018. However, in past elections, including the 2022 U.S. midterms, the technology did not produce believable fakes and was not accessible enough, in terms of both affordability and ease of use, to be weaponized for political disinformation. Instead, those looking to manipulate media narratives relied on simpler and cheaper ways to spread disinformation, including mislabeling or misrepresenting authentic videos, text-based disinformation campaigns, or just plain old lying on air.

As Henry Ajder, a researcher on AI and synthetic media writes in a 2022 Atlantic piece, Its far more effective to use a cruder form of media manipulation, which can be done quickly and by less sophisticated actors, than to release an expensive, hard-to-create deepfake, which actually isnt going to be as good a quality as you had hoped.

As deepfakes continually improve in sophistication and accessibility, they will increasingly contribute to the deluge of informational detritus. Theyre already convincing. Last month, The New York Times published an online test inviting readers to look at 10 images and try to identify which were real and which were generated by AI, demonstrating first-hand the difficulty of differentiating between real and AI-generated images. This was supported by multiple academic studies, which found that faces of white people created by AI systems were perceived as more realistic than genuine photographs, New York Times reporter Stuart A. Thompson explained.

Listening to the audio clip of the fake robocall that targeted New Hampshire voters, it is difficult to distinguish from Bidens real voice.

The jury is still out on how generative AI will impact this years elections. In a December blog post on GatesNotes, Microsoft co-founder Bill Gates estimates we are still 18-24 months away from significant levels of AI use by the general population in high-income countries. In a December post on her website Anchor Change, Katie Harbath, former head of elections policy at Facebook, predicts that although AI will be used in elections, it will not be at the scale yet that everyone imagines.

It may, therefore, not be deepfakes themselves, but the narrative around them that undermines election integrity. AI and deepfakes will be firmly in the public consciousness as we go to the polls this year, with their increased prevalence supercharged by outsized media coverage on the topic. In her blog post, Harbath adds that its the narrative of what havoc AI could have that will have the bigger impact.

Those engaging in media manipulation can exploit the public perception that deepfakes are everywhere to undermine trust in information. These people use false claims and discredit true ones by exploiting the liars dividend.

The liars dividend, a term coined by legal scholars Robert Chesney and Danielle Keats Citron in a 2018 California Review article, suggests that as the public becomes more aware about the idea that video and audio can be convincingly faked, some will try to escape accountability for their actions by denouncing authentic audio and video as deepfakes.

Fundamentally, it captures the spirit of political strategist Steve Bannons strategy to flood the zone with shit, as he stated in a 2018 meeting with journalist Michael Lewis.

As journalist Sean Illing comments in a 2020 Vox article, this tactic is part of a broader strategy to create widespread cynicism about the truth and the institutions charged with unearthing it, and, in doing so, erode the very foundation of liberal democracy.

There are already notable examples of the liars dividend in political contexts. In recent elections in Turkey, a video tape surfaced showing compromising images of a candidate. In response, the candidate claimed the video was a deepfake when it was, in fact, real.

In April 2023, an Indian politician claimed that audio recordings of him criticizing members of his party were AI-generated. But a forensic analysis suggested at least one of the recordings was authentic.

Kaylyn Jackson Schiff, Daniel Schiff, and Natalia Buen, researchers who study the impacts of AI on politics, carry out experiments to understand the impacts of the liars dividend on audiences. In an article forthcoming in the American Political Science Review, they note that in refuting authentic media as fake, bad actors will either blame their political opposition or an uncertain information environment.

Their findings suggest that the liars dividend becomes more powerful as people become more familiar with deepfakes. In turn, media consumers will be primed to dismiss legitimate campaign messaging. It is therefore imperative for the public to be confident that we can differentiate between real and manipulated media.

Journalists have a crucial role to play in responsible reporting on AI. Widespread news coverage of the Biden robocalls and recent Taylor Swift deepfakes demonstrate that distorted media can be debunked, due to the resources of governments, technology professionals, journalists, and, in the case of Swift, an army of superfans.

This reporting should be balanced with a healthy dose of skepticism on the impact of AI in this years elections. Self-interested technology vendors will be prone to overstate its impact. AI may be a stalking horse for broader dis- and misinformation campaigns exploiting worsening integrity issues on these platforms.

Lawmakers across states have introduced legislation to combat election-related AI-generated dis- and misinformation. These bills would require disclosure of the use of AI for election-related content in Alaska, Florida, Colorado, Hawaii, South Dakota, Massachusetts, Oklahoma, Nebraska, Indiana, Idaho and Wyoming. Most of the bills would require that information to be disclosed within specific time frames before elections. A bill in Nebraska would ban all deepfakes within 60 days of an election.

However, the introduction of these bills does not necessarily mean they will become law. Furthermore, their enforceability could be challenged on the grounds of free speech, based on positioning AI-generated content as satire. Moreover, penalties would only occur after the fact or be evaded by foreign entities.

Social media companies hold the most influence in limiting the spread of false content, being able to detect and remove it from their platforms. However, the policies of major platforms, including Facebook, YouTube, and TikTok state they will only remove manipulated content for cases of egregious harm or if it aims to mislead people about voting processes. This is in line with a general relaxation in moderation standards, including repeals of 17 policies at the former three companies related to hate speech, harassment and misinformation in the last year.

Their primary response to AI-generated content will be to label it as AI-generated. For Facebook, YouTube and TikTok, this will apply to all AI-generated content, whereas for X (formally Twitter), these labels will apply to content identified as misleading media, as noted in recent policy updates.

This puts the onus on users to recognize these labels, which are not yet rolled out and will take time to adjust to. Furthermore, AI-generated content may evade the detection of already overstretched moderation teams and not be removed or labeled, creating false security for users. Moreover, with the exception of X (formerly Twitter)s policy these labels do not specify whether a piece of content is harmful, only that it is AI-generated.

A deepfake made purely for comedic purposes would be labeled, but a manually altered video spreading disinformation might not. Recent recommendations from the oversight board of Meta, the company formerly known as Facebook, advise that instead of focusing on how a distorted image, video or audio clip was created, the companys policy should focus on the harm manipulated posts can cause.

The continued emergence of deepfakes is worrying, but they represent a new weapon in the arsenal of disinformation tactics deployed by bad actors rather than a new frontier. The strategies to mitigate the damage they cause are the same as before developing and enforcing responsible platform design and moderation, underpinned by legal mandates where feasible, coupled with journalists and civic society holding the platforms accountable. These strategies are now more important than ever.

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OpenAI’s new text-to-video tool, Sora, has one artificial intelligence expert "terrified" – CBS News

Posted: at 6:55 pm

OpenAI's new text-to-video tool, Sora, has one artificial intelligence expert "terrified"  CBS News

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Clarivate Launches Enhanced Search Powered by Generative … – Clarivate

Posted: August 10, 2023 at 7:25 pm

Latest iteration of patent pending platform enables life sciences and pharmaceutical companies to access insights from billions of proprietary data points

London, U.K. August 9, 2023. Clarivate Plc (NYSE:CLVT), a global leader in connecting people and organizations to intelligence they can trust to transform their world, today launched its new enhanced search platform leveraging generative artificial intelligence (GenAI). GenAI has the potential to yield efficiencies across the entire Life Sciences & Healthcare value chain. The new Clarivate offering enables drug discovery, preclinical, clinical, regulatory affairs and portfolio strategy teams to interact with multiple complex datasets using natural language to obtain immediate and in-depth insights.

Rapid, accurate insights are challenged by a typical paradigm of disparate, siloed data sources. Many standard databases and companies have focused use cases and the ability to track scientific innovation from start to finish is complex, costly, and inefficient. The new Clarivate enhanced search platform addresses these obstacles by pairing billions of proprietary data points and over 100 years of deep industry and domain expertise with GenAI capabilities. By integrating vast content sets and analytics from solutions, including Cortellis Competitive Intelligence, Disease Landscape & Forecast and Drug Timelines and Success Rates (DTSR) into the new interactive platform, users can access harmonized data featuring precise, concise and immediate answers to the life science industrys most urgent questions.

Researchers can access and interrogate epidemiologic, scientific, clinical, commercial and research data within one platform to overcome barriers to enabling evidence-based decisions and complex analyses. Derived from advanced GenAI and data science techniques that algorithmically process high-value curated content, users can identify companies developing breakthrough therapies, anticipate medical advancements and understand market dynamics, essential for the advancement of bringing new therapies to market. Additional features and functionalities include among others:

The beta version of the enhanced search platform has been launched with select customers to optimize the platform for use by broader audiences by discovering new use cases, exploring UI / UX capabilities, obtaining and incorporating feedback and previewing new features and functionality. Commercialization is anticipated later this year, with plans to extend the knowledge base by integrating additional datasets from solutions, including: Cortellis Clinical Trials Intelligence, Cortellis Deals Intelligence, OFF-X Safety Intelligence, Cortellis Drug Discovery Intelligence, Cortellis Regulatory Intelligence and others. Clarivate will continue to evolve the platform with technical enhancements, heightened search capabilities, data mapping and AI model updates in the near term.

Henry Levy, President, Life Sciences and Healthcare, Clarivate, said: There is a growing need for data to support complex analyses and evidence-based decisions in the life sciences. As an early adopter of AI technology, Clarivate utilizes billions of proprietary best-in-class data assets to enable researchers to optimize treatment development from early-stage drug discovery through commercialization. The new Clarivate GenAI enhanced search platform utilizes human expertise, billions of proprietary best-in-class expertly curated and interconnected data assets, and advanced AI models to enhance decision-making, advance research, and boost clinical and commercial success across the entire drug, device and medical technology lifecycle.

As a provider of best-in-class data integration/deidentified patient solutions and a premier end-to-end research intelligence solution, Clarivate is committed to comprehensively supporting customers across the entire drug, device or diagnostic product lifecycle to help them advance human health. Our continuing investment in artificial intelligence (AI) and machine learning (ML) supports the industrys ever-growing need to engage patients, physicians and payers in new ways, navigate barriers to access and adherence, and address patient unmet needs.

To learn more about the Clarivate enhanced search platform, contact: LSHGenAI@clarivate.com.

# # #

About Clarivate

Clarivate is a leading global information services provider. We connect people and organizations to intelligence they can trust to transform their perspective, their work and our world. Our subscription and technology-based solutions are coupled with deep domain expertise and cover the areas of Academia & Government, Life Sciences & Healthcare and Intellectual Property. For more information, please visit http://www.clarivate.com.

Media contact:

Catherine Daniel Director External Communications, Life Sciences & Healthcare newsroom@clarivate.com

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University of North Florida Launches Artificial Intelligence & Machine … – Fagen wasanni

Posted: at 7:25 pm

The University of North Florida (UNF) is offering a six-month bootcamp to teach students the skills needed to master Artificial Intelligence (AI) and Machine Learning or DevOps. With both skill sets in high demand, these bootcamps provide a great opportunity for those interested in learning about this emerging technology.

Partnering with Fullstack Academy, UNF has designed these bootcamp programs to be completed online over a span of 26 weeks. Students will learn the concepts and theoretical information about AI and machine learning, and then have the opportunity to apply those concepts through hands-on training.

The job market for AI and machine learning professionals in the United States is projected to grow by 22% by 2030, according to the U.S. Bureau of Labor Statistics. Additionally, the AI industry has the potential to contribute $15.7 trillion to the global economy by 2035, as reported by PwC. With such promising growth and opportunities, these bootcamps offer a pathway to a high-paying skillset.

In Jacksonville alone, there are currently 190 job openings for Artificial Intelligence Engineer positions, many of which offer remote or hybrid work options, with entry-level positions paying up to $178,000 annually.

The AI and Machine Learning Bootcamp will start on September 11, and the DevOps program will start on August 28. The application deadlines are September 5 and August 22, respectively.

One of the unique aspects of these bootcamp programs is the availability of career success coaches who will assist students with developing their resume, creating LinkedIn profiles, and attending networking events with potential employers. Upon completion of the programs, students will receive a UNF digital credential that can be shared with employers to showcase their certified skills.

The cost of the bootcamp programs is $13,000, but scholarships, loans, and payment plans are available for those in need of financial assistance.

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Why Hawaii Should Take The Lead On Regulating Artificial … – Honolulu Civil Beat

Posted: at 7:25 pm

A new state office of AI Safety and Regulation could take a risk-based approach to regulating various AI products.

Not a day passes without a major news headline on the great strides being made on artificial intelligence and warnings from industry insiders, academics and activists about the potentially very serious risks from AI.

A 2023survey of AI expertsfound that 36% fear that AI development may result in a nuclear-level catastrophe. Almost 28,000 people have signed on to anopen letterwritten by the Future of Life Institute, including Steve Wozniak, Elon Musk, the CEOs of several AI companies and many other prominent technologists, asking for a six-month pause or a moratorium on new advanced AI development.

As a public policy lawyer and also a researcher in consciousness (I have a part-time position at UC Santa Barbaras META Lab I share these strong concerns about the rapid development of AI, and I am a co-signer of the Future of Life open letter.

Why are we all so concerned? In short: AI development is going way too fast and its not being regulated.

The key issue is the profoundly rapid improvement in the new crop of advanced chatbots, or what are technically called large language models such as ChatGPT, Bard, Claude 2, and many others coming down the pike.

The pace of improvement in these AIs is truly impressive. This rapidaccelerationpromises to soon result in artificial general intelligence, which is defined as AI that is as good or better on almost anything a human can do.

When AGI arrives, possibly in the near future but possibly in a decade or more, AI will be able toimproveitself with no human intervention. It will do this in the same way that, for example, GooglesAlphaZeroAI learned in 2017 how to play chess better than even the very best human or other AI chess players in just nine hours from when it was first turned on. It achieved this feat by playing itself millions of times over.

In testing GPT-4, it performed better than90%of human test takers on the Uniform Bar Exam, a standardized test used to certify lawyers for practice in many states. That figure was up from just 10% in the previous GPT-3.5 version, which was trained on a smaller data set. They found similar improvements in dozens of other standardized tests.

Most of these tests are tests of reasoning, not of regurgitated knowledge. Reasoning is perhaps the hallmark of general intelligence so even todays AIs are showing significant signs of general intelligence.

This pace of change is why AI researcher Geoffrey Hinton, formerly with Google for a number of years,toldtheNew York Times: Look at how it was five years ago and how it is now. Take the difference and propagate it forwards. Thats scary.

In a mid-May Senate hearing on the potential of AI, Sam Altman, the head of OpenAI called regulation crucial. But Congress has done almost nothing on AI since then and the White House recently issued a letter applauding a purely voluntary approach adopted by the major AI development companies like Google and OpenAI.

A voluntary approach on regulating AI safety is like asking oil companies to voluntarily ensure their products keep us safe from climate change.

With the AI explosion underway now, and with artificial general intelligence perhaps very close, we may have just onechanceto get it right in terms of regulating AI to ensure its safe.

Im working with Hawaii state legislators to create a new Office of AI Safety and Regulation because the threat is so immediate that it requires significant and rapid action. Congress is working on AI safety issues but it seems that Congress is simply incapable of acting rapidly enough given the scale of this threat.

The new office would follow the precautionary principle in placing the burden on AI developers to demonstrate that their products are safe for Hawaii before they are allowed to be used in Hawaii. The current approach by regulators is to allow AI companies to simply release their products to the public, where theyre being adopted at record speed, with literally no proof of safety.

We cant afford to wait for Congress to act.

The new Hawaii office of AI Safety and Regulation would then take a risk-based approach to regulating various AI products. This means that the office staff, with public input, would assess the potential dangers of each AI product type and would impose regulations based on the potential risk. So less risky products would be subject to lighter regulation and more risky AI products would face more burdensome regulation.

My hope is that this approach will help to keep Hawaii safe from the more extreme dangers posed by AI which another recent open letter, signed by hundreds of AI industry leaders and academics, warned should be considered as dangerous as nuclear war or pandemics.

Hawaii can and should lead the way on a state-level approach to regulating these dangers. We cant afford to wait for Congress to act and it is all but certain that anything Congress adopts will be far too little and too late.

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WCTC To Offer New Certificates In Artificial Intelligence And Data … – Patch

Posted: at 7:25 pm

PEWAUKEE, Wis. (Thursday, Aug 10, 2023) Starting in the fall semester, Waukesha County Technical College will add three new information technology certificates two in artificial intelligence and one in data analytics -- and build upon the robust IT offerings available within the School of Business.

These include:

These certificates really complement our existing Data and Analytics Specialist program, said Alli Jerger, associate dean of Information Technology. Students in the Data and Analytics program, or those who may be pursuing certificates within that area, will find that they can rapidly move toward an AI certificate.

The College began its initial research for AI programming more than two years ago, Jerger said. With input from business and industry representatives who would need employees with these skillsets in the near future, WCTC began developing the AI certificates in fall of 2022 with the goal of launching them in August 2023.

Because AI is an emerging field, business and industry leaders have also been working to determine how their companies can leverage AI and ensure employment opportunities for graduates, Jerger said.

Employers told us that they will be looking for people who can help identify the right data to feed into AI tools, and who can help that data and the results that come from AI tell a story, she said. These new certificates are just the beginning of what WCTC plans to offer for AI programming, Jerger said. The College is creating a full Associate of Applied Science degree in AI, which will be launched in fall of 2024 (pending approval); credits from the AI certificates have been designed to transfer into that degree program.

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Artificial Intelligence related patent filings increased in the … – Pharmaceutical Technology

Posted: at 7:25 pm

Notably, the number of artificial intelligence-related patent applications in the pharmaceutical industry was 70 in Q2 2023, versus 46 in the prior quarter.

Analysis of patenting activity by companies shows that Koninklijke Philips filed the most artificial intelligence patents within the pharmaceutical industry in Q2 2023. The company filed 13 artificial intelligence-related patents in the quarter. It was followed by Japanese Foundation for Cancer Research with 2 artificial intelligence patent filings, Syqe Medical (2 filings), and Hangzhou DAC Biotech (2 filings) in Q2 2023.

The largest share of artificial intelligence related patent filings in the pharmaceutical industry in Q2 2023 was in the US with 50%, followed by China (23%) and Japan (3%). The share represented by the US was 15% lower than the 65% share it accounted for in Q1 2023.

To further understand GlobalData's analysis on Artificial Intelligence (AI) in Drug Discovery Market - Thematic Research buy the report here.

This content was updated on 2 August 2023

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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.

GlobalDatas Patent Analytics tracks patent filings and grants from official offices around the world. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the worlds largest industries.

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