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Data Science to Accelerate Drug Discovery with Artificial Intelligence and Machine Learning, Says Frost & Sullivan

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For further information on this analysis, please visit: http://frost.ly/4l2. "Applying data science tools in healthcare, especially for drug discovery, has a huge potential to systematically change the entire existing practices and methods," said Aarthi Janakiraman, Technical Insights Research Manager at Frost & Sullivan. "Additionally, pharmaceutical companies and hospitals are adopting this system rapidly, and its application is going to be established in all branches of healthcare." Janakiraman added: "Integrating AI and ML methods into drug discovery pipelines would cut down cost and time, and increase the efficiency of the entire research and development (R&D) process. Going forward, big pharma and mid-sized biotech companies can benefit by partnering with core AI startups and reducing the costs involved in setting up their own capabilities."


SoftBank unveils food service robot to reduce COVID-19 infection risk

The Japan Times

SoftBank Group Corp.'s robot making unit on Monday unveiled its new food service robot in a move designed to reduce the risk of coronavirus infections between staff and customers at restaurants and other eateries. SoftBank Robotics Group Corp. said it will start renting out its Servi robot, which can automatically deliver meals and drinks from the kitchen to tables at eateries, in January. The company said it expects orders from not only restaurants but also hospitals, retailers and hotels. The 1-meter-high column-shaped robot, co-developed with California-based Bear Robotics Inc., can carry a load of up to 35 kilograms at a time. It figures out where it needs to go using artificial intelligence.


Building a Modern Enterprise with Artificial Intelligence

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To stay competitive and relevant in their industries, enterprises increasingly need to become AI-driven. AI is a new key to improving business processes, making better decisions, monetizing data, increasing security and more. The growing importance of AI in the enterprise is a point that industry observers now emphasize. Just consider this view from the global consulting firm Deloitte: "As AI technologies standardize across industries, becoming an AI-fueled organization will likely be table stakes for survival. And that means rethinking the way humans and machines interact within working environments."1


AIDP and Andy Khawaja Conduct New Pandemic Research for AI Technology

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BEIJING--(BUSINESS WIRE)--Artificial Intelligence Defense Platform, a technology start-up creating AI technology for a safer, more comfortable future, and its Founder Andy Khawaja have created a new department within AIDP that is dedicated to pandemic research to see how AI technology can be most useful in future pandemics. In lieu of the Coronavirus Pandemic, or COVID-19, Artificial Intelligence Defense Platform has already found many new ways AI technology can be used for identifying and forecasting pandemic outbreaks. AI technology can track the outbreaks and predict outcomes based on actions. Andy Khawaja and AIDP have found better methods for tracking carriers based upon tracing data via smartphones, also known as contact tracing. Although there is a natural resistance to artificial intelligence technology in the healthcare industry, AIDP's studies show how useful the technology can be in the future to minimize contact when necessary.


Is Tesla Entering Machine Learning As A Service Market?

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Tesla may be introducing machine-learning training as a web service with its upcoming'Dojo' supercomputer, CEO Elon Musk said on Twitter. Project Dojo was initially revealed by Musk last year and is a supercomputer which Tesla has been working on. The supercomputer has been designed to ingest massive amounts of video data and perform massive levels of unsupervised training on the visual data. The goal of Dojo will be to be able to take in vast amounts of data and train at a video level and do massive unsupervised training of vast amounts of video data. Dojo uses our own chips & a computer architecture optimized for neural net training, not a GPU cluster. Could be wrong, but I think it will be best in world.


At CAGR 36.2%, Artificial Intelligence Market 2020: Future Challenges And Industry Growth Outlook 2025

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Artificial Intelligence (AI) is the study of "intelligent agents" which can be define as any device that perceives its environment and takes appropriate action that makes the highest probability of achieving its goals. Additionally, it can also be define as a system's ability to interpret external data, learn from gathered data and use those learnings to realize specific goals through adaptation. It is also called as machine intelligence and attributed to the nature of intelligence demonstrated by machines. Some of the features of artificial intelligence are; successfully understanding human language, contending at the highest level in strategic games systems such as chess and go, autonomously operating cars, intelligent routing in content delivery networks and military simulations and others. To solve the problem of learning and perceiving the immediate environment, many approaches have been taken such as statistical methods, computational intelligence, versions of search and mathematical optimization, artificial neural networks, and methods based on statistic, probability and economics.


U.S. Announces AI R&D Agreement with UK - insideHPC

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The Trump Administration announced today that the United States and the United Kingdom signed a Declaration on Cooperation in Artificial Intelligence Research and Development intended "to drive technological breakthroughs, promote researcher collaboration and advance the development of trustworthy AI." The announcement is an outcome of the U.S.โ€“UK Special Relationship Economic Working Group, established following a meeting between President Donald J. Trump and Prime Minister Boris Johnson last year. "America and our allies must lead the world in shaping the development of cutting edge AI technologies and protecting against authoritarianism and repression," said Michael Kratsios, U.S. Chief Technology Officer. "We are proud to join our special partner and ally, the United Kingdom, to advance AI innovation for the well-being of our citizens, in line with shared democratic values." The Administration said the agreement will build "upon previous action by the United States to engage with likeminded international partners to accelerate the development of trustworthy AI innovation."


Master's degree in artificial intelligence now within reach of low-income students

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Researchers from Florida Atlantic University's College of Engineering and Computer Science have received a four-year, $1 million grant from the National Science Foundation for a project to make the master's degree in artificial intelligence (AI) accessible to high-achieving, low-income students. The accelerated five-year bachelor's degree in science and master's degree in AI program is designed to adapt curricular and co-curricular support to enable students to complete their degrees in AI, autonomous systems or machine learning, which are critically important areas needed to advance America's global competitiveness and national security. "Artificial intelligence is transforming every walk of life from business to healthcare and enabling us to rethink how we analyze data, integrate massive amounts of information and make informed decisions that impact society, the economy and governance," said Stella Batalama, Ph.D., dean of FAU's College of Engineering and Computer Science and a co-principal investigator of the grant. "This important grant from the National Science Foundation will allow us to recruit and train talented and diverse students who are economically disadvantaged and provide them with a unique opportunity to pursue graduate education in an exciting and burgeoning field." By preparing increased numbers of high-achieving, low-income students to become engineers in these fields, this project addresses the need for growing a more diverse STEM (science, technology, engineering and mathematics) research population.


GeckoSystems

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Corp. (PINKSHEETS: GCKO) -- -- announced today that they have further cost reduced their robot controller board, the GeckoSPIO, while improving ease of manufacturability and maintaining robust functionality. GeckoSystems is a dynamic leader in the emerging mobile robotics industry revolutionizing their development and usage with "Mobile Robot Solutions for Safety, Security, and Service ". "The GeckoSPIO is the critical interface between the robot's physical platform and higher AI functions. This interface provides a level of abstraction for the commands sent to, and the data sent from, the robot platform. The abstraction and hierarchal architecture the GeckoSPIO provides simplifies interacting with the platform and the real world for the high-level software, along with enabling a wide array of sensor fusion techniques. We are pleased that one of our recently hired electrical engineers has made these improvements," stated Mark Peele, Vice President, R&D, GeckoSystems.


ReverseAds Announces The World's First True Alternative To Search Advertising

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ReverseAds announced the launch of its reverse-engineered search advertising solution that uses Big Data, A.I., and predictive modeling to help brands serve intuitive ads everywhere buyers go online after their initial search. ReverseAds addresses the need for predictive multi-channel ad campaigns that provide total visibility of the buyer's journey, allowing brands to move beyond underperforming search ads. This approach to digital advertising prioritizes ROI and CPA compared to the CPC bidding model provided by Google. With ReverseAds, considered purchase brands gain access to unprecedented amounts of intent data and a USPTO provisional patent-approved Assignment Algorithm. The algorithm uses predictive learning A.I. to determine which keywords will drive a business's highest total conversion.