Category Archives: Artificial Intelligence
New fiction novel delves into the emerging field of artificial intelligence, its benefits and disadvanta – Benzinga
Mark C. Giffin announces the release of 'Electronics One: Book 1'
INNISFAIL, Australia, Sept. 2, 2022 /PRNewswire-PRWeb/ -- Mark C. Giffin announces his entry into the publishing scene with the release of "Electronics One: Book 1" (published by Balboa Press AU), a fiction novel that delves into the emerging field of AI, its benefits and disadvantages.
Stephen Frost enjoys becoming a very rich man by being able to use AI. While working hard and inventing an AI doll as well as an electronic body armor and a fuel saving device, he meets his future wife Svetlana who had studied at a facility designed to train women into keeping a millionaire happy and contented. However, Stephen also realized there was a dark side that could come from all this.
Stephen's ability in AI almost got Svetlana kidnapped. His own AI attacked the Pentagon, and then, someone else did the same. He knew it would only be a matter of time before someone designed a powerful AI that would be used for evil purposes. His wife, future children, the great American dream, and the safety of people in general were important to him. At the same time, he would want to keep up his research to produce new technologies to help humanity but there would be many challenges ahead.
"Artificial intelligence is emerging as more and more real to people, with its pros and cons. The book puts forward possible advantages and threats relating to AI. It is a unique story with Stephen and his wife and artificial intelligence that has been the core of his life," Giffin says. When asked what he wants readers to take away from the book, he answers, "Artificial intelligence is an exciting realm with dire consequences if used wrongly. By itself, artificial Intelligence should not go unchecked and out of control." For More details about the book, please visit https://www.balboapress.com/en-au/bookstore/bookdetails/841232-electronics-one
"Electronics One: Book 1" By Mark C. Giffin Softcover | 6 x 9in | 200 pages | ISBN 9781982295110 E-Book | 200 pages | ISBN 9781982295127 Available at Amazon and Barnes & Noble
About the Author Mark C. Giffin grew up in Queensland, Australia. He worked in the field of medical imaging while maintaining an interest in karate and cars. He became a black belt third dan and still teaches today. His cars include a four-wheel drive and a V8 sports sedan. Over the last 15 years, he has made a number of trips to the U.S. for up to three months, spending most of this time in Florida. He has also had an interest in emerging AI.
Balboa Press Australia is a division of Hay House, Inc., a leading provider in publishing products that specialise in self-help and the mind, body and spirit genre. Through an alliance with the worldwide self-publishing leader Author Solutions, LLC, authors benefit from the leadership of Hay House Publishing and the speed-to-market advantages of the Author Solutions self-publishing model. For more information or to start publishing today, visit balboapress.com.au or call 1-800-844-925.
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Marketing Services, Balboa Press Australia, 1-800-844-925, pressreleases@balboapress.com
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New fiction novel delves into the emerging field of artificial intelligence, its benefits and disadvanta - Benzinga
Indica Labs Announces Collaboration with The Industrial Centre for Artificial Intelligence Research in Digital Diagnostics (iCAIRD) for the…
ALBUQUERQUE, N.M., and GLASGOW, Scotland, Aug. 30, 2022 /PRNewswire/ -- Indica Labs, an industry leader in quantitative digital pathology and image management solutions, and The Industrial Centre for Artificial Intelligence Research in Digital Diagnostics (iCAIRD), announced today an agreement to collaborate on the development of an AI-based digital pathology solution for the detection of cancer within lymph nodes from colorectal surgery cases. The primary aim of the innovative research project is to develop a tool which in the future may improve the efficiency of pathology teams within the National Health Service Greater Glasgow and Clyde (NHSGGC) reporting colorectal cancer cases and the detection of metastatic cancer in lymph nodes.
Funded by a combination of Innovate UK and industrial partners, and based in Scotland, and supported by the West of Scotland Innovation Hub, iCAIRD is one of the largest healthcare AI research portfolios in the UK. A collaboration of 30 partners from across the NHS, industry, academia and technology, the program is currently delivering 35 ground-breaking AI projects across radiology and pathology, having grown from just 10 projects at the outset in 2019. The mission of iCAIRD is to establish a world-class center of excellence for implementation of artificial intelligence in digital diagnostics.
Anonymized H&E slides from NHS Greater Glasgow and Clyde's digital pathology archive will be used to train, validate and test the algorithm, which is being developed collaboratively by iCAIRD and Indica Labs. The resulting algorithm will report negative and positive lymph node status and will be compared to pathologist reports. Furthermore, positively involved lymph nodes will be categorized into metastases, micro-metastases, and individual tumor cells.
Dr. Gareth Bryson, Consultant Pathologist at NHSGGC and Clinical Director for Laboratory Medicine of iCAIRD commented on the potential value this tool will bring to the NHS: "Our belief is that AI powered decision support tools, such as the one we are working on, may help to support pathologists by improving the process' efficiency, while simultaneously increasing sensitivity in detecting small metastasis which will direct patient therapy. Colorectal cancer resections are one of the most common cancer resection specimens and a disproportionate amount of pathologist's time is utilized in screening lymph nodes."
Indica Labs, based in Albuquerque, New Mexico, offers a suite of digital pathology image analysis solutions including HALO AI, and HALO AP; both of which will be utilized by Indica Labs and iCAIRD partners for the development of AI-based pathology solutions and their evaluation in an NHS digital pathology workflow.
HALO AI uses deep learning neural networks to classify and quantify clinically significant tissue patterns and cell populations. HALO AP is a CE-IVD certified software platform for digital anatomic pathology labs that can operate as a standalone case and image management system or can be fully integrated within LIS or HIS solutions. HALO AP supports a full range of tissue-based workflows, includingAI-assisted assays, quantitative analytics, synoptic reporting,tumor boards, and secondary consults. In addition to HALO AI and HALO AP, Indica Labs recently received a CE-IVD mark for HALO Prostate AI, a deep learning-based screening tool designed to assist pathologists in identifying and grading prostate cancer in core needle biopsies that is deployed using HALO AP.
"The team at Indica Labs is excited to collaborate with iCAIRD on the development and deployment of a state-of-the-art AI tool that aims to improve diagnostic accuracy, turnaround times, and laboratory efficiency for the benefit of both pathologists and colorectal cancer patients," commented Steven Hashagen, CEO Indica Labs.
HALO AP will be evaluated within simulated digital workflows at the pathology department in NHS GGC, using iCAIRD's research environment to demonstrate interoperability with clinical systems. HALO AP will be used as a platform to deliver the new colorectal cancer algorithm. Through this collaboration, diagnostic accuracy and efficiency will be compared between existing fully digital workflows and one that applies AI through HALO AP.
About Indica Labs
Indica Labs is the world's leading provider of computational pathology software and image analysis services. Our flagship HALO and HALO AI platform facilitates quantitative evaluation of digital pathology images. HALO Link facilitates research-focused image management and collaboration while HALO AP enables collaborative clinical case review. Through a combination of precision, performance, scalability, and usability our software solutions enable pharmaceutical companies, diagnostic labs, research organizations, and Indica's own contract pharma services team to advance tissue-based research, clinical trials, and diagnostics.
About iCAIRD
iCAIRD aims to bring clinicians, health planners and industry together, facilitating collaboration between research-active clinicians and innovative SMEs to better inform clinical questions, and ultimately to solve healthcare challenges more quickly and efficiently using AI. iCAIRD is funded by Innovate UK, under the UK Research and Innovation (UKRI) Industrial Strategy Challenge Fund (ISCF) "From Data to Early Diagnosis in Precision Medicine" challenge. For more information, visit https://icaird.com/ or email info@icaird.com.
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Kate Lillard TunstallIndica Labs, Inckate@indicalab.com
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Indica Labs Announces Collaboration with The Industrial Centre for Artificial Intelligence Research in Digital Diagnostics (iCAIRD) for the...
Global Diagnostic Imaging Market Forecast Report 2022: A $53 Billion Market by 2028 – Artificial Intelligence (AI) and Analytics Gaining Traction -…
DUBLIN--(BUSINESS WIRE)--The "Diagnostic Imaging Market Forecast to 2028 - COVID-19 Impact and Global Analysis by Modality, Application, and End-user" report has been added to ResearchAndMarkets.com's offering.
The global diagnostic imaging market is projected to reach US$ 53,410.59 million by 2028 from US$ 38,034.56 million in 2022.
Rise in prevalence of chronic diseases drives the market growth. Also, the use of Artificial Intelligence (AI) and analytics in diagnostic imaging equipment would act as a future trend in the global diagnostic imaging market.
According to the Centers for Disease Control and Prevention (CDC) report, six in ten Americans live with at least one chronic disease, including heart disease and stroke, cancer, and diabetes. Chronic disease are the leading causes of death and disability in North America and stand as a leading healthcare cost.
According to CDC, the leading chronic diseases accounted for almost US$ 4.1 trillion in annual healthcare costs in America in 2020. Additionally, diagnostic imaging is widely adopted for chronic conditions of the geriatric population as the population is more vulnerable to the above chronic indications. For instance, JMIR Publications revealed that the population aged >60 is expected to rise to 2 billion by 2050 worldwide.
Thus, with the increasing prevalence of aging and chronic diseases, it is essential to focus on healthcare innovation to improve health services. For example, innovation in diagnostic imaging with the support of information and communication technology (ICT) has been used in several settings that assist individuals in diagnosing, treating, and managing chronic diseases better. Also, ICT interventions in diagnostic imaging provide solutions to some of the challenges associated with aging and chronic diseases.
Osteoporosis is a significant health problem globally and is responsible for a severe clinical and financial burden owing to increasing life expectancy. Moreover, osteoporosis increases the chances of falls, fractures, hospitalization, and mortality. The age-standardized prevalence of osteoporosis among the European population is 12% for women and 12.2% for men aged 50-79 years, per the statistics of the National Library of Medicine in 2020.
Therefore, it is mandatory to conduct clinical assessments for early diagnosis and to prevent the onset of complications. Several diagnostic imaging techniques such as computed tomography (CT), magnetic resonance imaging (MRI), and ultrasound imaging provide information on different aspects of the same pathologies for the detection of osteoporosis at an early stage.
For example, MRI provides information on various aspects of bone pathophysiology, and its results play an essential role in diagnosing diseases early in preventing clinical onset and consequences. The factors mentioned above are responsible for driving the overall global diagnostic imaging market.
Artificial intelligence helps improve numerous aspects of the healthcare industry, and diagnostic imaging technique is one of the fields that would benefit greatly. Diagnostic imaging equipment manufacturers worldwide are integrating AI into their products. For example, in September 2018, Nvidia announced launching the Nvidia Clara platform, a combination of software and hardware working together in diagnostic imaging equipment.
Such ground-breaking technology can address the challenges of medical instruments and process enormous amounts of data generated every second that doctors and scientists can easily interpret.
Market Opportunities of Global Diagnostic Imaging Market
Government initiatives that sanction funds and grants for diagnostic imaging services to reach globally are expected to create lucrative opportunities for the overall global diagnostic imaging market growth in the coming years.
The WHO collaborates with partners and manufacturers to develop effective solutions targeting to improve diagnostic services in remote locations. Additionally, the WHO and its partners provide training programs on the use and management of diagnostic imaging, focusing on patient safety.
For example, in February 2022, Siemens Healthineers announced a partnership with UNICEF that assisted in improving access to healthcare in Sub-Saharan Africa for diagnostic techniques.
Key Market Dynamics
Market Drivers
Market Restraints
Market Opportunities
Future Trends
Company Profiles
For more information about this report visit https://www.researchandmarkets.com/r/bjdzvd
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Global Diagnostic Imaging Market Forecast Report 2022: A $53 Billion Market by 2028 - Artificial Intelligence (AI) and Analytics Gaining Traction -...
The future of malicious artificial intelligence applications is here – Toronto Star
The year is 2016. Under close scrutiny by CCTV cameras, 400 contractors are working around the clock in a Russian state-owned facility. Many are experts in American culture, tasked with writing posts and memes on Western social media to influence the upcoming U.S. Presidential election. The multimillion dollar operation would reach 120 million people through Facebook alone.
Six years later, the impact of this Russian info op is still being felt. The techniques it pioneered continue to be used against democracies around the world, as Russia's troll factory the Russian internet Research Agency continues to fuel online radicalization and extremism. Thanks in no small part to their efforts, our world has become hyper-polar, increasingly divided into parallel realities by cherry-picked facts, falsehoods, and conspiracy theories.
But if making sense of reality seems like a challenge today, it will be all but impossible tomorrow. For the past two years, a quiet revolution has been brewing in AI and despite some positive consequences, its also poised to hand authoritarian regimes unprecedented new ways to spread misinformation across the globe at an almost inconceivable scale.
In 2020, AI researchers created a text generation system called GPT-3. GPT-3 can produce text thats indistinguishable from human writing including viral articles, tweets, and other social media posts. GPT-3 was one of the most significant breakthroughs in the history of AI: it offered a simple recipe that AI researchers could follow to radically accelerate AI progress, and build much more capable, humanlike systems.
But it also opened a Pandoras box of malicious AI applications.
Text-generating AIs or language models can now be used to massively augment online influence campaigns. They can craft complex and compelling arguments, and be leveraged to create automated bot armies and convincing fake news articles.
This isnt a distant future concern: its happening already. As early as 2020, Chinese efforts to interfere with Taiwans national election involved the instant distribution of artificial-intelligence-generated fake news to social media platforms.
But the 2020 AI breakthrough is now being harnessed for more than just text. New image-generation systems, able to create photorealistic pictures based on any text prompt, have become reality this year for the first time. As AI-generated content becomes better and cheaper, the posts, pictures, and videos we consume in our social media feeds will increasingly reflect the massively amplified interests of tech-savvy actors.
And malicious applications of AI go far beyond social media manipulation. Language models can already write better phishing emails than humans, and have code-writing capabilities that outperform human competitive programmers. AI that can write code can also write malware, and many AI researchers see language models as harbingers of an era of self-mutating AI-powered malicious software that could blindside the world. Other recent breakthroughs have significant implications for weaponized drone control and even bioweapon design.
Needed: a coherent plan
Policy and governance usually follow crises, rather than anticipate them. And that makes sense: the future is uncertain, and most imagined risks fail to materialize. We cant invest resources in solving every hypothetical problem.
But exceptions have always been made for problems which, if left unaddressed, could have catastrophic effects. Nuclear technology, biotechnology, and climate change are all examples. Risk from advanced AI represents another such challenge. Like biological and nuclear risk, it calls for a co-ordinated, whole-of-government response.
Public safety agencies should establish AI observatories that produce unclassified reporting on publicly available information about AI capabilities and risks, and begin studying how to frame AI through a counterproliferation lens.
Given the pivotal role played by semiconductors and advanced processors in the development of what are effectively new AI weapons, we should be tightening export control measures for hardware or resources that feed into the semiconductor supply chains of countries like China and Russia.
Our defence and security agencies could follow the lead of the U.K.s Ministry of Defence, whose Defence AI Strategy involves tracking and mitigating extreme and catastrophic risks from advanced AI.
AI has entered an era of remarkable, rapidly accelerating capabilities. Navigating the transition to a world with advanced AI will require that we take seriously possibilities that would have seemed like science fiction until very recently. Weve got a lot to rethink, and now is the time to get started.
Jrmie Harris is the co-founder of Gladstone AI, an AI safety company.
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The future of malicious artificial intelligence applications is here - Toronto Star
Quantum computing is an even bigger threat than artificial intelligence – here’s why – WRAL TechWire
Compounding the danger is the lack of anyAI regulation. Instead, unaccountable technology conglomerates, such as Google and Meta, have assumed the roles of judge and jury in all things AI. They are silencing dissenting voices, including their own engineers who warn of the dangers.
The worlds failure to rein in the demon of AIor rather, the crude technologies masquerading as suchshould serve to be a profound warning. There is an even more powerful emerging technology with the potential to wreak havoc, especially if it is combined with AI:quantum computing. We urgently need to understand this technologys potential impact, regulate it, and prevent it from getting into the wrong hands before it is too late. The world must not repeat the mistakes it made by refusing to regulate AI.
Although still in its infancy, quantum computing operates on a very different basis from todays semiconductor-based computers. If thevarious projectsbeing pursued around the world succeed, these machines will be immensely powerful, performing tasks in seconds that would takeconventional computersmillions of years to conduct.
Because of the technologys immense power and revolutionary applications, quantum computing projects are likely part of defense and other government research already.
Semiconductors represent information as a series of 1s and 0sthats why we call it digital technology. Quantum computers, on the other hand, use a unit of computing called aqubit. A qubit can hold values of 1 and 0 simultaneously by incorporating a counterintuitive property in quantum physics called superposition. (If you find this confusing, youre in good companyit can be hard to grasp even for experienced engineers.) Thus, two qubits could represent the sequences 1-0, 1-1, 0-1, and 0-0, all in parallel and all at the same instant. That allows a vast increase in computing power, which grows exponentially with each additional qubit.
Quantum computing researchers at Duke observe tipping point
If quantum physics leaves the experimental stage and makes it into everyday applications, it will find many uses and change many aspects of life. With their power to quickly crunch immense amounts of data that would overwhelm any of todays systems,quantum computerscould potentially enable better weather forecasting, financial analysis, logistics planning, space research, and drug discovery. Some actors will very likely use them for nefarious purposes, compromising bank records, private communications, and passwords on every digital computer in the world. Todays cryptography encodes data in large combinations of numbers that are impossible to crack within a reasonable time using classic digital technology. But quantum computerstaking advantage of quantum mechanical phenomena, such as superposition, entanglement, and uncertaintymay potentially be able to try out combinations so rapidly that they could crack encryptions by brute force almost instantaneously.
To be clear, quantum computing is still in an embryonic stagethough where, exactly, we can only guess. Because of the technologys immense potential power and revolutionary applications, quantum computing projects are likely part of defense and other government research already. This kind of research isshrouded in secrecy, and there are a lot of claims and speculation about milestones being reached. China, France, Russia, Germany, the Netherlands, Britain, Canada, and India are known to be pursuing projects. In the United States, contenders include IBM, Google, Intel, and Microsoft as well as various start-ups, defense contractors, and universities.
Despite the lack of publicity, there have been credible demonstrations of some basic applications, includingquantum sensorsable to detect and measure electromagnetic signals. One such sensor was used to precisely measureEarths magnetic fieldfrom the International Space Station.
IBM unveils roadmap for developing quantum-powered supercomputers
In another experiment, Dutch researchers teleported quantum information across a rudimentaryquantum communication network. Instead of using conventional optical fibers, the scientists used three small quantum processors to instantly transfer quantum bits from a sender to a receiver. These experiments havent shown practical applications yet, but they could lay the groundwork for a future quantum internet, where quantum data can be securely transported across a network of quantum computers faster than the speed of light. So far, thats only been possible in the realm of science fiction.
The Biden administration considers the risk of losing the quantum computing race imminent and dire enough that it issuedtwo presidential directivesin May: one to place theNational Quantum Initiativeadvisory committee directly under the authority of the White House and another to directgovernment agenciesto ensure U.S. leadership in quantum computing while mitigating the potential security risks quantum computing poses to cryptographic systems.
Experiments are also working tocombinequantum computing with AI to transcend traditional computers limits. Today, large machine-learning models take months to train on digital computers because of the vast number of calculations that must be performedOpenAIs GPT-3, for example, has 175 billion parameters. When these models grow into the trillions of parametersa requirement for todays dumb AI to become smartthey will take even longer to train. Quantum computers could greatly accelerate this process while also using less energy and space. In March 2020, Google launchedTensorFlowQuantum, one of the first quantum-AI hybrid platforms that takes the search for patterns and anomalies in huge amounts of data to the next level.Combined with quantum computing, AI could, in theory, lead to even more revolutionary outcomes than the AI sentience that critics have been warning about.
Quantum breakthrough? Duke, IonQ invent means to accelerate key quantum techniques
Given the potential scope and capabilities ofquantum technology, it is absolutely crucial not to repeat the mistakes made with AIwhere regulatory failure has given the world algorithmic bias that hypercharges human prejudices, social media that favors conspiracy theories, and attacks on the institutions of democracy fueled by AI-generated fake news and social media posts. The dangers lie in the machines ability to make decisions autonomously, with flaws in the computer code resulting in unanticipated, often detrimental, outcomes. In 2021, the quantum community issued acall for actionto urgently address these concerns. In addition, critical public and private intellectual property on quantum-enabling technologies must be protected fromtheft and abuseby the United States adversaries.
There are national defense issues involved as well. In security technology circles, the holy grail is whats called acryptanalytically relevant quantum computera system capable of breaking much of the public-key cryptography that digital systems around the world use, which would enable blockchain cracking, for example. Thats a very dangerous capability to have in the hands of an adversarial regime.
Experts warn thatChinaappears to have a lead in various areas of quantum technology, such as quantum networks and quantum processors. Two of the worlds most powerful quantum computers were beenbuilt in China, and as far back as 2017, scientists at the University of Science and Technology of China in Hefei built the worlds firstquantum communication networkusing advanced satellites. To be sure, these publicly disclosed projects are scientific machines to prove the concept, with relatively little bearing on the future viability of quantum computing. However, knowing that all governments are pursuing the technology simply to prevent an adversary from being first, these Chinese successes could well indicate an advantage over the United States and the rest of the West.
Beyond accelerating research, targeted controls on developers, users, and exports should therefore be implemented without delay. Patents, trade secrets, and relatedintellectual property rightsshould be tightly secureda return to the kind of technology control that was a major element of security policy during the Cold War. The revolutionary potential of quantum computing raises the risks associated withintellectual property theftby China and other countries to a new level.
Exec shares six predictions for quantum computing industry in 2022
Finally, to avoid theethical problemsthat went so horribly wrong with AI and machine learning, democratic nations need to institute controls that both correspond to the power of the technology as well as respect democratic values, human rights, and fundamental freedoms. Governments must urgently begin to think about regulations,standards, and responsible usesand learn from the way countries handled or mishandled other revolutionary technologies, including AI, nanotechnology, biotechnology, semiconductors, and nuclear fission. The United States and otherdemocratic nationsmust not make the same mistake they made with AIand prepare for tomorrows quantum era today.
About the authors
Vivek Wadhwais a columnist atForeign Policy, an entrepreneur, and the co-author ofFrom Incremental to Exponential: How Large Companies Can See the Future and Rethink Innovation.Twitter:@wadhwa
Mauritz Kopis a fellow and visiting scholar at Stanford University.Twitter:@MauritzKop
Duke Quantum Center officially opens, offering a look at computings future
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Quantum computing is an even bigger threat than artificial intelligence - here's why - WRAL TechWire
Artificial Intelligence and Deep Learning Models Will Be Used to Protect the Great Barrier Reef – Tech Times
Researchers will now use the power of technologies to monitor and help protect the Great Barrier Reef. Following the photographs taken by citizen scientists, Artificial Intelligence (AI) and deep learning will be used.
Citizens of the Great Barrier Reef recruited boats to help survey over 300 reefs from the tip of Queensland down to Lady Elliot Island in 2020 and early this year, according to ABC. They were able to take 52,000 photos of the reef to see the big picture in regards of its health. They were then asked to help identify problem areas, such as bleach to target better restoration efforts.
Dell has developed a new AI system that will see around 13,000 reef images analyzed a week or approximately one minute per photo. While the Singapore-based data science team worked with universities to develop the Great Reef Census (GRC) technology to identify five crucial coral categories in every image.
The analyzed data will be shared with University of Queensland and James Cook University researchers for better prioritization of reef conservation efforts when the program goes live.
A previously implemented Dell edge solution deployed on watercraft was able to upload data automatically to the deep learning model through a mobile network for real-time image capture. With this, it will enhance the capabilities of the Great Reef Census as it speeds up image analysis. Also, the new model will be able to analyze the same data set in less than 200 hours.
The initiative aligns Dell's Environmental, Social and Governance (ESG) ambitions to boost sustainability through the creation of technology that drives progress, and working with partners, customers, suppliers, and communities to promote climate action.
Also Read: Artificial Intelligence vs. Poachers: How AI Can Help Protect Endangered Animals
According to BW Businessworld, Dell has developed the model for GRC over the last five months by model by prioritizing core categories, understanding the dataset, cleaning the dataset, and building hundreds of models with different model architectures and hyperparameters.
"This deep learning still relies on human input: someone of the reef takes a photo, and the deep learning model defines the coral outline and health status; then, someone else can check the outline and confirm the label before the data is sent to the University of Queensland," said Aruna Kolluru, the Chief Technologist, Emerging Technology, Dell technologies, Asia Pacific and Japan.
Over the past 30 years, the Great Barrier Reef has been hit with mass bleaching. Based on the current rate, the Great Barrier Reef is facing an extinction of coral.The Great Barrier Reef could have passed the point of no return and could be on track to disappear in as little as 50 years. With this latest technologies, we could save it.
Related Article: New Artificial Intelligence Light System May Be the Answer to Traffic Congestion
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Artificial Intelligence and Deep Learning Models Will Be Used to Protect the Great Barrier Reef - Tech Times
Chips-Plus Artificial Intelligence in the CHIPS Act of 2022 – Lexology
On August 9, 2022, President Biden signed the CHIPS Act of 2022 (the Act), legislation to fund domestic semiconductor manufacturing and boost federal scientific research and development (see our previous alert for additional background). As part of its science-backed provisions, the Act includes many of the U.S. Innovation and Competition Acts (USICA) original priorities, such as promoting standards and research and development in the field of artificial intelligence (AI) and supporting existing AI initiatives.
National AI Initiative
The Act directs the National Institute of Standards and Technology (NIST) Director to continue supporting the development of AI and data science and to carry out the National AI Initiative Act of 2020 (previous alert for additional background), which created a coordinated program across the federal government to accelerate AI research and application to support economic prosperity, national security, and advance AI leadership in the United States. The Director will further the goals of the National AI Initiative Act of 2020 by:
Furthermore, the Act provides that the Director may establish testbeds, including in virtual environments, in collaboration with other federal agencies, the private sector and colleges and universities, to support the development of robust and trustworthy AI and machine learning systems.
NSF Directorate for Technology, Innovation and Partnerships
A new National Science Foundation (NSF) Directorate for Technology, Innovation and Partnerships (the Directorate) is established under the Act to address societal, national and geostrategic challenges for the betterment of all Americans through research and development, technology development and related solutions. Over the next five years, the new Directorate will receive $20 billion in funding. Moreover, the Directorate will focus on 10 key technology focus areas, including AI, machine learning, autonomy, related advances, robotics, automation, advanced manufacturing and quantum computing, among other areas.
DOE Research, Development and Demonstration Activities
Within the Department of Energy (DOE), the Act authorizes $11.2 billion for research, development and demonstration activities and to address energy-related supply chain activities in the ten key technology focus areas prioritized by the new NSF Directorate. Further, the Act authorizes $200 million for the DOEs Office of Environmental Management to conduct research, development and demonstration activities, including the fields of AI and information technology.
Federal AI Scholarship in Graduate Education
The Act directs NSF Director to submit to the relevant House and Senate congressional committees a report outlining the need, feasibility and plans for implementing a program for recruiting and training the next generation of AI professionals. The report will evaluate the feasibility of establishing a federal AI scholarship-for-service program to recruit and train the next generation of AI professionals.
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Chips-Plus Artificial Intelligence in the CHIPS Act of 2022 - Lexology
Headroom Solves Virtual Meeting Fatigue with Artificial Intelligence that Eliminates Wasted Time and Reveals Essential Highlights – Business Wire
SAN FRANCISCO--(BUSINESS WIRE)--Headroom, a meeting platform leveraging artificial intelligence to improve communications and productivity, today announced a $9 million investment led by Equal Opportunity Ventures with participation from Gradient Ventures, LDV Capital, AME Cloud Ventures and Morado Ventures. The capital brings total funding to date to $14 million and will be used to expand Headrooms team, product development and mobile offering. The company also recently added new Shareable Automatic Summaries to its suite of tools for remote and hybrid meetings, furthering its mission to support balanced, entertaining, productive and memorable meetings.
Virtual meetings have become the de facto method for gathering, connection and collaboration. According to Fortune Business Insights, the meeting collaboration market is expected to exceed $41 billion by 2029. Gartner predicts that by 2025, 75% of conversations at work will be recorded and analyzed, enabling the discovery of added organizational value or risk. Yet despite the increase in meetings, productivity and engagement rates are down. Even before the start of the pandemic, a Harvard Business Review survey revealed 65% of senior managers felt meetings kept them from completing their own work and 64% said meetings come at the expense of deep thinking. Smarter meetings may be the biggest opportunity for improved work productivity and satisfaction.
The more meetings held, the more time wasted, with too many people spending time in redundant meetings. Headroom is leveraging AI to help companies do more with less, enabling individual workers to be more productive, choose which meetings to attend and which to watch later, or just quickly get the key pieces of information discussed, said Julian Green, CEO and Co-Founder of Headroom. Particularly in this environment, where for startups every dollar and every meeting minute counts, those that can move faster and stay better connected with people wherever they are, in real time and asynchronously, will win.
Headroom is self-learning; its relevance and impact on productivity improves with use. Headroom data shows 90% of every meeting lacks useful information. To maximize the 10% meeting content that is helpful, the company developed Shareable Automatic Summaries which auto-generate highlight reels that provide key moments, shared notes and action items, and enable easy sharing with others. Additional platform functionality that maximizes synchronous and asynchronous communication includes:
"Hybrid work is here to stay and virtual meetings are the norm, but they allow for a wide margin of distraction," said Roland Fryer, Founder and Managing Partner at Equal Opportunity Ventures and newly appointed Headroom Board Member. Headroom at its core is an engagement and productivity platform - streamlining collaboration and information sharing, without a heavy lift. It saves time in scheduling, reporting and collaborating."
Simply put: meetings should be better. Unlike any other video communication and collaboration platform, Headroom is stateful. Meeting information is generated during live conversations, and can be augmented and accessed forever after. Participants are free to act naturally and engage with the information without being restricted by the actual meeting slot, said Andrew Rabinovich CTO and Co-Founder of Headroom. Those who didn't attend the meeting itself, have all the details readily available to them. With Headroom, this is automated and highlights go to non-attendee stakeholders who can replay key decisions. Our customers are also using it as an information resource they can search for key information later.
Headroom was co-founded by Julian Green and Andrew Rabinovich in 2020. The companys executive team experience spans founding and leadership roles at GoogleX, Houzz, Magic Leap, Patreon and Square. Headrooms platform currently serves more than 5,000 customers spanning technology and online education startups, as well as marketing, design, consulting and recruiting agencies. It is free with no usage caps or storage limits, and is available on Google Chrome with no download or app required. Users have full control over sharing of meeting information. Get started at https://www.goheadroom.com/.
ABOUT HEADROOM
Headroom, founded in 2020, is improving communication in meetings by augmenting meeting intelligence. Automated virtual meetings in Headroom allow attendees to act naturally, replay key decisions, build smart summaries and search everything later. Headroom is brought to you by an experienced team that has created and managed AI products used by billions of people at tech startups and large companies including Google and Magic Leap. The founders helped create the worlds leading Computer Vision, Augmented Reality and Virtual Reality products, started Unicorns, and have won a Webby. To get started with Headroom visit https://www.goheadroom.com/.
The era of the Artificial-Intelligence fashion designer is getting closer – Times of India
The industries are flourishing and expanding and the technological advancements in the fashion industry are growing exponentially. With passing time, personalization has gotten much attention and has become one of the biggest trends, and Artificial Intelligence in the industry is finding out new ways to analyze all the data and tailor designs according to peoples preferences.
Artificial Intelligence in fashion market
AI has already acquired its position in the fashion market and is growing at a rapid pace. Globally, the market size of AI in the fashion market is estimated to grow to USD 1260 million by 2024 from USD 228 million in the year 2019 that is growing at a CAGR of 40.8% between the year 2019-2024.
The future of AI in the Fashion industry grows stronger and stronger as the demand from the customer to have a personalized experience, demand from the inventory management also plays a role in encouragement of the growth of AI in the fashion market. Apart from this, influence and support on social media is backing the use of AI in fashion designing.
Artificial Intelligence helps the fashion sector by identifying the desired future trends by analyzing the consumers purchasing behavior. AI also helps to boost the concept of fast fashion and enables vendors to use AI for solutions revolving fashion.
Fashion design for everyone
In present conditions, every design sector requires a certain level of creative and social intelligence from the designers. Some of the skills that are demanded from fashion designers are creative problem solving, negotiation, persuasion, empathy and many more. AI helps to enable these skill sets into a designer thus creating scope for a large number of non-designers to enhance their skills and boost employability.
The process of design thinking in fashion plays a crucial role as the power moves from the hands of the designer into the hands of the audience. Fashion design is no longer a sector that is related only to creating designs and transforming it into its true form instead modern fashion design has given its importance to everyone.
With the help of the AI, designers try to learn the customers behavior and persona, analyse patterns of behavior based on the data collected, enhance the process of developing design principles and test the prototype based on those principles.
Switch to virtual design
Virtual fashion design is a new trending aspect in the field of sustainable fashion. Virtual fashion design is faster than traditional methods and shows realistic 3D samples than the traditional physical samples. Virtual design in fashion is the most beneficial use of AI as it reduces the waste of cloth as it can sew, unsew, apply any color or fabric, design on the virtual design without any wastage of materials.
Virtual fashion design has grown exponentially during Covid times as it proved to be beneficial for remote development as well. As per statistics, virtual designs reduce the cost by 30% as they save time developing the designs virtually. Virtual fashion design creates 3D images that are realistic and accurate, reduces waste of unusable samples, reduces the use of harmful processes in fabric and material such as dying and most importantly reduces pollution that causes due to shipment of samples.
Enhanced fashion designs
Artificial Intelligence has enhanced the fashion designing industry greatly, from designers working for weeks to bring out a sample with huge wastage of time and supply; now with the help of AI, designs are produced daily at a larger scale than with the help of traditional methods.
Artificial Intelligence is implemented in the fashion industry for better analysis of customer requirements. It benefits the industry by scanning a precise body and making appropriate measurements using smartphone pictures. AI helps in enhancing the fashion designing industry by creating a styling guide based on the recommendations of the people. Small retailers are also benefited as they can figure out the trends in the market and have a chance to meet the demands of the consumer.
The advances in technology are bringing designs to a new and enhanced place where we also see AI playing a new role. The industry is changing and the new programs that come along with AI are making the fashion industry more intelligent.
Views expressed above are the author's own.
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The era of the Artificial-Intelligence fashion designer is getting closer - Times of India
The Global Mobile Artificial Intelligence (AI) Market is expected to grow by $ 23.61 bn during 2022-2026, accelerating at a CAGR of 29.06% during the…
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Global Mobile Artificial Intelligence (AI) Market 2022-2026 The analyst has been monitoring the mobile artificial intelligence (AI) market and it is poised to grow by $ 23. 61 bn during 2022-2026, accelerating at a CAGR of 29.
New York, Aug. 24, 2022 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Global Mobile Artificial Intelligence (AI) Market 2022-2026" - https://www.reportlinker.com/p06315915/?utm_source=GNW 06% during the forecast period. Our report on the mobile artificial intelligence (AI) market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.The report offers an up-to-date analysis of the current global market scenario, the latest trends and drivers, and the overall market environment. The market is driven by increasing smartphone penetration, increasing capital investments in AI start-ups, and increasing demand for AI in enterprise applications.The mobile artificial intelligence (AI) market analysis includes application segment and geographic landscape.
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This robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading mobile artificial intelligence (AI) market vendors that include AIStorm Inc, Alphabet Inc., Apple Inc., Blaize, Cerebras Systems Inc, CrossCert, Fuzhou Rockchip Electronics Co. Ltd., Graphcore Ltd., Huawei Technologies Co. Ltd., Imagination Technologies Ltd, Intel Corp., International Business Machines Corp., MediaTek Inc., NVIDIA Corp., Qualcomm Inc., SambaNova Systems Inc., Samsung Electronics Co. Ltd., SenseTime Group Inc, Think Force, and Xilinx Inc. Also, the mobile artificial intelligence (AI) market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to an analysis of the key vendors.
The analyst presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive research - both primary and secondary. Technavios market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.Read the full report: https://www.reportlinker.com/p06315915/?utm_source=GNW
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The Global Mobile Artificial Intelligence (AI) Market is expected to grow by $ 23.61 bn during 2022-2026, accelerating at a CAGR of 29.06% during the...