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University of Florida Plans New Center for Applied Artificial … – AgFax

Citrus greening on tree leaf. Photo: University of Florida Extension

The University of Florida Institute of Food and Agricultural Sciences is preparing to construct a new Center for Applied Artificial Intelligence in Wimauma, a rural area in Hillsborough County. The project, which is estimated to cost around $20 million, aims to enhance the use of artificial intelligence in agriculture. The proposed 34,000 square-foot facility will feature office, research, and meeting space, as well as accommodation for approximately 32 graduate students.

The center will include a state-of-the-art research shop equipped with the necessary tools and equipment for the design and development of robotic technologies for agriculture. It will also serve as a central hub for training in artificial intelligence and robotic technologies, with designated meeting areas, offices, and open concept workspaces.

Robert Gilbert, the dean for research at UF/IFAS, expressed his vision for the facility as part of their mission to become a recognized leader in the application of artificial intelligence in agriculture. The center, along with its associated faculty, will focus on developing programs in robotics, precision agriculture, and plant breeding. These initiatives aim to accelerate agricultural technologies not only for the strawberry and tomato industries in the region but also for diverse agricultural enterprises across the state.

The University of Floridas ambitious plans for the Center for Applied Artificial Intelligence demonstrate their commitment to pushing the boundaries of agricultural innovation. Through this endeavor, they aim to advance the industry by leveraging the potential of artificial intelligence and robotics.

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Scientific discovery in the age of artificial intelligence – Nature.com

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Artificial Intelligence in Healthcare Faces Roadblocks Due to … – Fagen wasanni

Artificial intelligence (AI) systems, such as ChatGPT, are increasingly being used in various industries, including healthcare. However, a recent study reveals that doctors are hesitant to adopt these technologies due to a lack of skills to interpret and act upon AI predictions.

Clinical decision support (CDS) algorithms, which are AI tools used to assist healthcare providers in making important medical decisions, have the potential to greatly enhance patient care. For example, they can help doctors determine the appropriate antibiotics or recommend risky surgeries. However, the success of these algorithms depends on how physicians interpret and utilize their risk predictions.

Unfortunately, many doctors currently lack the skills needed to understand and utilize AI algorithms effectively. CDS algorithms can range from simple risk calculators to advanced machine learning systems. They can predict life-threatening conditions or recommend the most effective treatment for individual patients.

To bridge this gap, the authors of the study suggest that medical education and clinical training should include explicit coverage of probabilistic reasoning related to CDS algorithms. Physicians should receive training on how to critically evaluate and use CDS predictions, interpret them in the context of patient care, and effectively communicate them to patients.

Currently, some clinical decision support tools are already integrated into electronic medical records systems. However, healthcare providers often find them cumbersome and difficult to use. The authors emphasize that while doctors do not need to be math or computer experts, they require a baseline understanding of how algorithms work in terms of probability and risk adjustment.

In conclusion, while AI has the potential to transform healthcare, doctors need to develop the necessary skills to incorporate AI algorithms into their practice effectively. By addressing this skills gap, healthcare can fully leverage the benefits of AI in improving patient care.

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Artificial Intelligence is Transforming the Travel Industry – Fagen wasanni

Artificial intelligence (AI) is revolutionizing how travel brands operate, with significant impacts already seen in various areas.

AI technology is being used to process and analyze large amounts of data to predict travel demand and impact pricing. Unconventional sources, such as images posted on social media, are being utilized to uncover signals about travel preferences among travelers. Hotel executives are optimistic about AIs potential to make room pricing more profitable, with the ability to assign rates for specific rooms based on their perception.

In terms of customer service, AI has the potential to personalize experiences and increase customer loyalty. Major hotel brands, online travel agencies, and other companies are working to implement advanced AI into their businesses. For example, Amazon has a program called Amazon Personalize that enables travel brands to personalize travel itineraries. Hyatt saw a $40 million increase in revenue after implementing AI-generated recommendations for customers.

AI is also playing a significant role in travel planning and booking. Companies like Priceline, Expedia, Booking.com, and TripAdvisor have released AI-powered platforms that provide personalized recommendations, enhanced payment security, and intelligent chatbots to act as local guides or concierges. These platforms are making it easier for travelers to plan and book their trips.

Furthermore, AI is being utilized in the hotel tech sector to combat labor shortages. By enhancing platforms with generative AI, companies are able to automate processes and overcome staffing challenges. HiJiffy, for example, has used AI to answer specific questions and provide information to hotel clients, experiencing significant growth during the pandemic due to labor shortages.

Overall, AI is reshaping the travel industry by improving travel demand prediction, enhancing customer service, simplifying travel planning and booking, and addressing labor shortages. These advancements are paving the way for a more efficient and personalized travel experience.

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The Role of Artificial Intelligence in Nursing – Fagen wasanni

Artificial Intelligence (AI) has made significant advancements in various fields, including nursing. One popular form of AI is ChatGPT, which has gained immense popularity in a short span of time. However, ChatGPT is just the beginning of how AI will revolutionize the nursing profession.

AI, in the context of nursing, refers to machines that can emulate intelligent human behavior. Through machine learning, computers are taught to learn from experience and continuously improve their accuracy over time. As the healthcare industry adopts AI, the nursing field stands to benefit immensely.

One area where AI can transform nursing is in the streamlining of electronic health records. Charting patient information and updating records can be simplified and automated, saving nurses valuable time. AI can also enable remote patient monitoring, allowing nurses to keep a watchful eye on patients even from a distance. Additionally, predictive analytics can become more effective at identifying disease risk factors, enabling early intervention and prevention.

The impact of AI on the remote nursing job market will depend on the goals and workflows of each company. Utilization management and review, for example, could be simplified with AI algorithms that match clinical documentation to insurance criteria. Telephonic triage could be enhanced by AI creating unique protocols based on patient conversations. AI chatbots can assist case managers by connecting patients to the appropriate caregivers or help automate appointments and medication reminders. Moreover, AI can automate the process of data abstraction from patient medical records.

While AI will increase remote nurse productivity and create new job opportunities, it cannot replace the need for clinical oversight and nursing judgment. Remote nursing jobs that require physical assessments and bedside tasks will still be integral to patient care.

The future of AI in nursing holds promise for increased job possibilities, reduced burnout, improved productivity, and enhanced professional respect for nurses. AI-driven personal assistants and technologies that intertwine nursing with technology will expand the role of nurses in healthcare.

In conclusion, AI will undoubtedly transform remote nursing by increasing efficiency, accuracy, and patient outcomes. However, it is crucial to acknowledge that AI cannot replace the compassionate and personalized care provided by nurses. Staying informed about AI trends and embracing new technological advancements will be essential for nurses to thrive in the evolving healthcare landscape.

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Perceptions of Artificial Intelligence in Life Sciences – Fagen wasanni

A recent study conducted by ResearchAndMarkets.com provides insights into the perspectives of over 400 life scientists regarding the impact and potential of artificial intelligence (AI) in the life sciences sector. The study includes interviews with life science AI users, future users, and skeptics, addressing important questions about the future of AI in this field.

The survey targeted a diverse range of participants, including academic life scientists and professionals in the pharmaceutical and biopharmaceutical industries, ensuring a comprehensive and up-to-date understanding of AI in life sciences.

Key highlights of the report include the overall sentiment towards AI in the life science marketplace, the current applications where AI is being utilized, the barriers and motivators for AI adoption in workflows, and the leading organizations and brands in life science AI.

Whether individuals are current users, non-users, or skeptics of life science AI, this report offers valuable insights. It reveals what current users appreciate most about AI and uncovers the reasons why non-users and skeptics hesitate to embrace AI-based enhancements.

Life science instrument companies and technology developers will find this report invaluable in understanding market dynamics and shaping their strategies.

The report is based on a comprehensive online quantitative survey conducted with 411 respondents, primarily members of the Science Advisory Board (SAB) a segment of the scientific community known for their active participation in market research activities.

The report provides a comprehensive view of the perceptions of AI in life sciences and offers vital information for industry professionals.

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Johns Hopkins makes major investment in the power, promise of … – The Hub at Johns Hopkins

ByHub staff report

Johns Hopkins University today announced a major new investment in data science and the exploration of artificial intelligence, one that will significantly strengthen the university's capabilities to harness emerging applications, opportunities, and challenges presented by the explosion of available data and the rapid rise of accessible AI.

At the heart of this interdisciplinary endeavor will be a new data science and translation institute dedicated to the application, understanding, collection, and risks of data and the development of machine learning and artificial intelligence systems across a range of critical and emerging fields, from neuroscience and precision medicine to climate resilience and sustainability, public sector innovation, and the social sciences and humanities.

The institute will bring together world-class experts in artificial intelligence, machine learning, applied mathematics, computer engineering, and computer science to fuel data-driven discovery in support of research activities across the institution. In all, 80 new affiliated faculty will join JHU's Whiting School of Engineering to support the institute's pursuits, in addition to 30 new Bloomberg Distinguished Professors with substantial cross-disciplinary expertise to ensure the impact of the new institute is felt across the university.

Ron Daniels

President, Johns Hopkins University

The institute will be housed in a state-of-the-art facility on the Homewood campus that will be custom-built to leverage a significant investment in cutting-edge computational resources, advanced technologies, and technical expertise that will speed the translation of ideas into innovations. AI pioneer Rama Chellappa and KT Ramesh, senior adviser to the president for AI, will serve as interim co-directors of the institute while the university launches an international search for a permanent director.

"Data and artificial intelligence are shaping new horizons of academic research and critical inquiry with profound implications for fields and disciplines across nearly every facet of Johns Hopkins," JHU President Ron Daniels said. "I'm thrilled this new institute will harness our university's innate ethos of interdisciplinary collaboration and build upon our demonstrated capacity to deliver impactful research at the forefront of this critical age of technology."

The creation of a data science and translation institute, supported through institutional funds and philanthropic contributions, will represent the realization of one of the 10 goals identified in the university's new Ten for One strategic plan: to create the leading academic hub for data science and artificial intelligence to drive research and teaching in every corner of the university and magnify our impact in every corner of the world.

The 21st century is already being defined by an explosion of available data across an almost incomprehensible array of subject areas and domains, from wearables and autonomous systems, to genomics and localized climate monitoring. The International Data Corporation, a global leader in market intelligence, estimates that the total amount of digital data generated will grow more than fivefold in the next few years, from an estimated 33 trillion gigabytes of information in 2021 to 175 trillion gigabytes by 2025.

"It's not hyperbole to say that data and AI to help us make informed use of that information have vast potential to revolutionize critical areas of discovery and will increasingly shape nearly every aspect of the world we live in," said Ed Schlesinger, dean of the Whiting School of Engineering. "As one of the world's premier research institutions, and with our existing expertise in foundational fields at the Whiting School, Johns Hopkins is uniquely positioned to play a lead role in determining how these transformative technologies are developed and deployed now and in the future."

Johns Hopkins has met the moment with several data-driven initiatives and investments, building on long-standing expertise in data science and AI to launch the AI-X Foundry earlier this year. Created to explore the vast potential of human collaboration with artificial intelligence to transform medicine, public health, engineering, patient care, and other disciplines, the AI-X Foundry represents a critical first step toward the creation of a data science and translation institute.

Additional JHU programs that will contribute to the new institute include:

Johns Hopkins is also home to the renowned Applied Physics Laboratory, the nation's largest university-affiliated research center, which has for decades conducted leading-edge research in data science, artificial intelligence, and machine learning to help the U.S. address critical challenges.

But there remains significant untapped potential to use data, artificial intelligence, and machine learning to expand and enhance research and discovery in nearly every area of the university, particularly in fields where the power of data is only now being realized. As Johns Hopkins Bloomberg Distinguished Professor Alex Szalay, an astrophysicist and pioneering data scientist, has said: "The most impactful research universities of the future will be those with scholars who possess meaningful depth in data and another domain, and are equipped with the ability to bridge between these disciplines."

To that end, the new institute will be a hub for interdisciplinary data collaborations with experts in divisions across Johns Hopkins, with affiliated faculty, graduate students, and postdoctoral fellows working together to apply big data to pressing issues. Their work will be supported by the latest techniques and technologies and by experts in data translation, data visualization, and tech transfer, shortening the path from discovery to impact and fostering the development of future large-scale data projects that serve the public interest, such as the award-winning Johns Hopkins Coronavirus Resource Center.

"The Coronavirus Resource Center is just one example of the power of data science and translation and its capacity to guide lifesaving decisions," said Beth Blauer, associate vice provost for public sector innovation and data lead for the CRC. "Our ability to harness data and connect it not just to public policy and innovation but to guide the deeply personal decisions we make every day speaks to the magnitude of this investment and its potential impact. There is no other institution more poised than Johns Hopkins University to guide us."

Johns Hopkins will develop this new institute with a commitment to data transparency and accessibility, highlighting the need for trust and reproducibility across the research enterprise and making data available to inform policymakers and the public. The institute will support open data practices, adhering to standards and structures that will make the university's data easier to access, understand, consume, and repurpose.

Additionally, institute scholars will partner with faculty from across the institution in fields including bioethics, sociology, philosophy, and education to support multidisciplinary research that helps academia and industry alike understand the societal and ethical concerns posed by artificial intelligence, the power and limitations of these tools, and the role for, and character of, appropriate government policy and regulation.

"As both data and the tools for harnessing data have become widespread, artificial intelligence and data-driven technologies are accelerating advances that will shape academic and public life for the foreseeable future," said Stephen Gange, JHU's interim provost and senior vice president for academic affairs. "The investment will ensure Johns Hopkins remains on the forefront of research, policy development, and civic engagement."

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Stack Overflow Adds Artificial Intelligence to Improve Developer … – Fagen wasanni

Stack Overflow, the popular online community for programmers, is seeking to revitalize its platform by integrating artificial intelligence (AI) into its services. This new AI offering, called OverflowAI, aims to provide developers with access to the vast amount of knowledge and expertise contained in the platforms 58 million community questions and answers.

The integration of OverflowAI will take place through an extension into Visual Studio Code, allowing developers to access validated content directly from Stack Overflow without leaving their Integrated Development Environment (IDE). The AI-powered extension will provide personalized summaries, solutions, and the ability to document new learnings and solutions, all within the IDE.

While other similar extensions, such as GitHub CoPilot, already exist, Stack Overflows CEO, Prashanth Chandrasekar, emphasizes that OverflowAI offers additional benefits. It can ensure the accuracy and trustworthiness of the AI-generated content by leveraging the vast Stack Overflow community.

In addition to the IDE integration, Stack Overflow is introducing StackPlusOne, a chatbot that integrates with Slack. This chatbot utilizes AI to provide answers to questions using data from both the users Stack Overflow for Teams instance and the wider community.

The platforms search capabilities have also been upgraded with the introduction of semantic search, which utilizes machine learning to understand the relationship between words. This approach allows users to ask questions naturally, similar to how they would ask a friend, and receive relevant results.

OverflowAI will also introduce enterprise knowledge ingestion, allowing users to curate and build their own knowledge base using existing trusted content. Stack Overflow is further expanding its offerings in AI by creating a community centered around AI tools and a collective focused on discussions related to natural language processing (NLP) in AI and machine learning.

With these advancements, Stack Overflow aims to enhance the quality and trustworthiness of its data while expanding its user base and becoming a go-to destination for developers and experts in the field. OverflowAI is currently in the alpha phase and is expected to be ready for full production within the next 12 months.

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Why We Should Be Concerned About Artificial Intelligence in TV … – Fagen wasanni

As the writers and actors strikes continue, renowned TV creator Charlie Brooker, known for his popular series Black Mirror, has shared his perspective on the potential dangers of artificial intelligence (AI) in television.

Given Brookers ability to accurately predict our tech-centric future in previous episodes of Black Mirror, such as the recently released Season 6 episode Joan is Awful, where AI technology is used without pay or consent, his insights hold weight. This fictional portrayal mirrors real-world concerns raised by background actors who have experienced similar situations. The issue has become a focal point in the standoff between SAG-AFTRA and studios.

The use of AI not only poses a threat to actors but also to writers. The Writers Guild of America has demanded regulations on the use of AI-generated scripts. Brooker recently discussed this topic in an interview with Peter Kafka for Vox, emphasizing the potential misuse of tools like ChatGPT. He expressed concern that people may use AI to create content that they claim as their own but falls short of quality standards, leading to the need for human intervention to salvage it.

While Brooker acknowledged that human writers draw inspiration from other artists, he highlighted that AI-generated responses are often generic. Although he confessed to incorporating ideas from Rod Serlings work in Black Mirror, he clarified that his own creative process is far from artificial.

Brooker confirmed that the fear of studios using AI to replace writers and diminish their roles is indeed valid. He expressed worry that AI could be employed to generate initial drafts, leaving human writers with the task of revising and humanizing the content, which he deems a discouraging prospect.

All six seasons of Black Mirror are currently available for streaming on Netflix. For more coverage of the series, check out our other articles below.

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OpenAI Names Unaffiliated Open Artificial Intelligence in Lawsuit – The Fashion Law

After landing on the receiving end of a steady-stream of infringement and privacy-centric litigation, ChatGPT-creator OpenAI has initiated a lawsuit of its own, accusing an identically-named company of co-opting its brand and fraudulently divert[ing] public interest in and demand for [its] products. According to the trademark complaint that it lodged in a federal court in Northern California on August 4, OpenAI claims that Open Artificial Intelligence, Inc. and its president, Guy Ravine (collectively, the defendants) unlawfully adopted the Open Artificial Intelligence name after it had already begun operating in the AI space and as a result, stands to confuse millions of users of OpenAIs products into mistakenly believing that [they] have any connection to, association with, or sponsorship by OpenAI when, in fact, there is none.

Setting the stage in its complaint, OpenAI states that it is the senior user of the OpenAI name and the logos bearing that name as trademarks. Far from an unknown entity, the San Francisco-based AI giant asserts that it has become closely associated in the marketplace as the source of AI models and applications, including ChatGPT. It was only after OpenAIs first use of one of the OpenAI marks that the defendants began using their confusingly similar mark, Open AI, according to OpenAI, which notes that the defendants have had nothing to do with its well-known artificial intelligence models and applications. In contrast, they are looking to misappropriate and monetize the hard work and goodwill that OpenAI has created by confusing consumers and the marketplace into mistakenly believing they are the originators of, or affiliated with, OpenAIs products, the plaintiff contends.

In a further nod to the defendants improper motives, OpenAI alleges that on December 11, 2015, the day that it announced a $1 billion funding round, which received widespread coverage in national and international news media, Open Artificial Intelligences Guy Ravine filed an application for registration for Open AI with the United States Patent and Trademark Office (USPTO) for providing a web site featuring technology that enables internet users to share documents, images and videos. In connection with the application, Ravine declared that: (i) he first used the infringing mark in commerce on March 25, 2015, and (ii) he was currently using the infringing mark in commerce as of December 11, 2015, per OpenAI.

While the USPTO preliminarily refused to register the markbecause the specimen (above) did not show the applied-for mark in use in commerce, OpenAI claims that the defendants responded by manufactur[ing] evidence related to their website to mislead the USPTO into believing their mark was being used in commerce even though [they] had never used the infringing mark in connection with any goods or services [they] offered in interstate commerce i.e., as a trademark.

Ravine responded with a new specimen (below, in part), which contained two screenshots from a subdomain of http://www.open.ai, http://www.hub.open.ai, and which he represented as being in use in commerce at least as early as the filing date of the application. The problem, according to OpenAI? The substitute specimen did not reflect the infringing marks actual use in commerce as of December 15, 2015, and instead, Ravine created the specimen and the purported website posts to mislead the USPTO into believing that the infringing mark was being used in commerce, thereby resolving the defect the USPTO cited in refusing to register the infringing mark.(Specifically, OpenAI states that the substitute specimen did notreflect the infringing marksactual use in commerce as of December 15, 2015, as all three threads depicted in the specimen contain content copied nearly verbatim from content that was posted on GitHub, an unaffiliated third-party website, in 2016.)

Fast forward to March 2017 and in a subsequent office action, OpenAI states that the USPTO refused registration of the infringing mark on the Principal Register, finding the infringing mark was descriptive, prompting Ravine to amend the application to seek registration on the Supplemental Register. The USPTO added the Open AI mark to the Supplemental Register on August 1, 2017 (Reg. No. 5,258,002).

All the while, OpenAI claims that the defendants websitewww.open.ai, which for several years redirected to itswww.openai.comsite, has caused actual confusion among consumers. OpenAI claims that it contacted the defendants in February 2022 to inform them that their site was redirecting to OpenAIs site and to inquire about acquiring the domain to no avail. OpenAI asserts that Ravine responded the same day, saying, Elon Musk paid $11 million for the Tesla domain and trademark in 2017. As we both know, OpenAI holds the potential to become larger than Tesla, and in either event, will become one of the largest companies in the world in a relatively short period of time. So, the ultimate value of the domain and the brand are substantial.

While the parties never reached a deal regarding thewww.open.aidomain, OpenAI claims that the contact prompted Ravine to contact the USPTO. Between December 2015 and December 6, 2022, the defendants never objected toOpenAIs use or registration ofthe OpenAI marks, OpenAI maintains. However, after being contacted by OpenAI, Ravine filed a Letter of Protest with the USPTO in December 2022 regarding OpenAIs pending application for OPENAI for use on downloadable computer programs and downloadable computer software using artificial intelligence, etc., and research and development services in the field of artificial intelligence, etc.(Ser. No. 97/238,896) on the grounds that OpenAIs mark is allegedly confusingly similar to the infringing mark and should be refused registration.

On January 31, 2023, OpenAI claims that Ravine filed another Letter of Protest with the USPTO regarding the same OpenAI application, submitting additional evidence and continuing to argue that the applied-for mark is confusingly similar to [its] infringing mark.

In light of the confusing similarity of the Open Artificial Intelligence name to OpenAIs well-recognized name, the defendants leave no doubt as to [their] intent to profit by confusing the public into thinking that there is an affiliation between [them] and OpenAI, the latter asserts. With the foregoing in mind, OpenAI sets out trademark infringement and unfair competition, and civil liability for false and/or fraudulent registration causes of action, as well as two causes of action aimed at getting the defendants registration cancelled based on no bona fide use and misrepresenting source. In addition to monetary damages, OpenAI is seeking preliminary and permanent injunctive relief to bar the defendants from engaging in further acts of infringement and unfair competition.

The case is OPENAI, INC. v. Open Artificial Intelligence, Inc. et al.,3:23-cv-03918 (N.D. Cal.)

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