Microsoft's AI recommends lockdown strategies to curb coronavirus

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A preprint paper coauthored by researchers at Microsoft, the Indian Institute of Technology, and TCS Research (the R&D division of Tata Consultancy Services) describes an AI framework designed to help cities and regions make policy decisions about lockdowns, closures, and physical distancing in response to COVID-19. They claim that because it learns policies automatically as a function of disease parameters like infectiousness, gestation period, duration of symptoms, probability of death, population density, and movement propensity, it's superior to the modeling tools that have thus far been used. If the peer-review process bears out the researchers' claims, the framework could be of use to organizations and governments in the nearly 200 countries with cases of the coronavirus. Asian nations including Singapore and Taiwan have demonstrated that containment strategies like contact tracing, or the process of identifying people who may have come into contact with an infected person, can effectively mitigate COVID-19's spread. The coauthors first generated a graph network -- a model containing objects in which some pairs are related, such that the objects correspond to vertices and each pair of vertices is called an edge -- with 100 nodes and 1,000 individuals.


Can AI help organizations future proof their intelligence?

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Adopting Artificial Intelligence (AI) to enhance productivity is increasingly viewed as a competitive advantage for companies. From productivity gains in the workplace through to autonomous cars, it's fundamentally changing the way we work and live. Sundar Pichai, Chief Executive of Alphabet, stated at Davos earlier this year that AI will be more profound for humanity "than fire and electricity". And I agree with him--AI can (and is) revolutionizing industries. But a great deal of what we see labeled as AI today is closer to automation--algorithms that crunch complex calculations and serve automated but predetermined responses.


DeepMind's AI models transition of glass from a liquid to a solid

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In a paper published in the journal Nature Physics, DeepMind researchers describe an AI system that can predict the movement of glass molecules as they transition between liquid and solid states. The techniques and trained models, which have been made available in open source, could be used to predict other qualities of interest in glass, DeepMind says. Beyond glass, the researchers assert the work yields insights into general substance and biological transitions, and that it could lead to advances in industries like manufacturing and medicine. "Machine learning is well placed to investigate the nature of fundamental problems in a range of fields," a DeepMind spokesperson told VentureBeat. "We will apply some of the learnings and techniques proven and developed through modeling glassy dynamics to other central questions in science, with the aim of revealing new things about the world around us." Glass is produced by cooling a mixture of high-temperature melted sand and minerals.


How your Insurance Agency can benefit from Chatbots Musselwhite Marketing

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Businesses who have adopted the chatbot trend have been able to support and scale their business operations by offering convenient and efficient communication to their customers. Implementing chatbots has also helped businesses increase their sales, by providing 24/7 chat support to customers who need questions answered before they buy. So, what is a chatbot and how can your business benefit from one? We're about to unpack everything you need to know. A chatbot is an automated messaging system or computer program that interacts with your customers on your behalf.


Why AI Is Transforming The Banking Industry

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Implementing transformation technology, including AI, is not always easy. You need to make sure you have the right team in place and expertise in-house, as well as access to data, clean data, money and resources to invest in the project, and parties that are willing to adopt the technology once created. Casey discusses some of the struggles and challenges about implementing AI throughout USAA and their digital offerings. One major challenge they have faced is the access to data. It's no surprise that USAA has very large amounts of data, but one of the big challenges is having real time access to that data to see what is happening.


How AI Is Transforming Fleet Safety

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AI-integrated software is a sophisticated system made up of several devices and applications such as predictive data analysis and machine learning systems, HD cameras and sensors, communication and display systems. AI-based fleet management platform Driveri, currently deployed in fleets across the country, is a combination of all of these components. Before understanding how each of these parts combines to create a fleet management powerhouse, it is important to know what each one does. Cameras ensure that video data can be captured, analyzed and accessed at any time leading to a better study of driver behavior, road conditions or hazards. This is significant because it creates a future of fleet management where human error is reduced across the transport cycle.


AI In Law Enforcement: A Step Forward Towards The Future

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Experts around the globe claim that artificial intelligence is an inseparable part of the future business, public sector and especially, national security. But this fact does not imply that AI should be, or could be, implemented quickly and successfully. According to Daniel Newman, Principal Analyst, and Founder at Futurum Research, there are several factors that are hampering the penetration of this technology in numerous industries and fields due to the difficulties they pose to organizations interested in taking this digital leap i.e lack of future vision, fear of job loss, etc. Similarly, anyone who has ever watched any Iron Man movie knows that its principal character, Tony Stark, relies heavily on Jarvis, an advanced Artificial Intelligence system designed to manage almost "everything" in his life, especially in the fight against crime. We might be considering this a far-fetched reality but it could actually be closer than we think when it comes to national security.


Healthcare Centers are Turning to AI to Combat Covid-19

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Artificial Intelligence has emerged as a powerful tool in the time to fight against Covid-19. The technology is used to train computers to leverage big data-enabled models for pattern recognition, interpretation, and prediction using Machine Learning, NLP and Computer Vision. These applications can be effective to diagnose, envision, and treat Covid-19 disease, and they can also assist in managing socio-economic impacts. Since the pandemic spreads quickly, there has been a rush to explore and deploy AI to cure and address the soaring demand of patient treatment infected by Coronavirus. In this regard, Partners HealthCare, a Boston-based non-profit hospital and physician network, had conducted a chat through the hotline for patients, clinicians, and others with questions and concerns about Covid-19.


Leslie Oliver Karpas posted on LinkedIn

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If you've ever been curious to learn about AI and computer vision, check out the great podcast Reid Jackson put together with our friends from GS1 US on LexSet, interviewing me and Francis Bitonti. Where I sit down with the founders of #startup LexSet to discuss #computervision modeling, bias & more http://ow.ly/sQer30quzmy


How Blockchain Can Transform Artificial Intelligence 7wData

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The decentralized system of blockchain technology is antithetical to the inherently centralized system of operation in use today. By employing a form of decentralized database architecture, the record and authentication of certain operations are contingent upon the agreement of several parties rather than a single authority. Compared to other centralized technologies, blockchain technology makes operations safer, faster, and more transparent. The impact of this technology has been experienced in the financial sector already with cryptocurrencies like Bitcoin, Ethereum, and Litecoins making the news. The application has also been extended to other areas such as advertising, healthcare, business logistics, security, etc.