How to explain AI in plain English

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Cognitive scientist and Dartmouth professor John McCarthy coined the term artificial intelligence (AI) in 1955 when he began his exploration of whether machines could learn and develop formal reasoning like humans. More than 60 years later, AI is the hottest tech topic of the day, from the boardroom to the breakroom. The vast majority of technology executives (91 percent) and 84 percent of the general public believe that AI constitutes the next technology revolution, according to Edelman's 2019 Artificial Intelligence (AI) Survey. PwC has predicted that AI could contribute $15.7 trillion to the global economy by 2030. AI powers voice-based devices, filters our email, and guides our search results.


Countering the Rise of Adversarial Machine Learning.

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The security community has found an important application for machine learning (ML) in its ongoing fight against cybercriminals. Per Recorded Future, many of us are turning to ML-powered security solutions like Lastline that analyze network traffic for anomalous and suspicious activity. In turn, these ML solutions defend us from digital threats better than other solutions can by drawing on their evolving knowledge of what a network attack looks like. Digital attackers are aware of the fact that security solutions are using ML for security purposes. They also know that there are certain limitations when it comes to applying artificial intelligence to computer security.


Hyundai Motor develops AI-based autonomous driving technology - Xinhua

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Hyundai Motor Group, South Korea's automotive giant, said Monday that it has developed an artificial intelligence (AI)-based, driver-customized autonomous driving technology. Hyundai said in a statement that it developed the Smart Cruise Control-Machine Learning (SCC-ML) technology for the first time in the world that allows a partial driverless driving customized to a driver's driving pattern. The SCC-ML adds AI technology to the SCC function that is one of the Advanced Driver Assistance System (ADAS) technologies to allow a vehicle to drive at a set speed with a certain distance from other vehicles. Under the SCC-ML, a vehicle's machine learning function collects pieces of information through cameras and sensors about a driver's driving pattern, such as the distance from other vehicles, how fast the driver gains speed, and how quickly the driver responds to changed road conditions. Hyundai said the SCC-ML can realize the Level 2.5 autonomous driving technology beyond the Level 2 technology that includes a function of lane change.


7 Chatbots in the Financial Industry – Paypal, Kasisto, and More Emerj

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Kasisto has an AI platform called KAI that they claim can help financial institutions create chatbots for their customers to ask questions and use to make payments and review account details. The company also claims KAI chatbots can help users manage their funds from multiple accounts. The software can send a chatbot's conversation to a human customer service employee in cases where it cannot solve a customer's problem. The company also claims to have a deep learning tool for business banking chatbots that helps train new machine learning models, however, they do not offer a detailed explanation of how multiple neural networks would work to make a chatbot more effective These chatbots can purportedly converse with customers about financial tasks such as applying for credit cards, product discovery and managing funds. They can also fulfill some requests directly within the chatbot interface.


Hitachi Vantara CTO on quantum, data ethics, and public trust

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When quantum computing moves from the theoretical world into the applied space it threatens to break apart the accepted modus operandi of much of the technology industry, something Hubert Yoshida, the CTO of Hitachi Vantara is keenly aware of. Search giant Google made a surprise announcement that it had reached quantum supremacy last month, raising serious questions about how organisations can manage and secure data in the future. Nowehere is this more important than in the domain of cryptography. Where once it could take hundreds of years to crack encryption methods with traditional computing, quantum computing techniques could lower that to just seconds. "We have to keep one step ahead and find different ways of doing encryption in the face of new technologies," Yoshida, told Computerworld, speaking during the Hitachi Next conference at the MGM Grand, Las Vegas, last week.


CloudMinds XR-1: One of the First Intelligent 5G Humanoid Robots Awakens with Sprint at MWC Los Angeles 2019

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WIRE)--CloudMinds Technology Inc. – a global pioneer in cloud artificial intelligence architecture that makes robots and businesses smarter for the benefit of all humanity – will have its revolutionary XR-1 robot interact with guests at the Sprint exhibit (South Hall #1702) at Mobile World Congress Los Angeles, Oct. 22 to 24. XR-1 is one of the first-ever humanoid robots powered by cloud artificial intelligence, commercial Sprint True Mobile 5G and proprietary vision-controlled grasping technology for service robots that also leverages human operator input for constant learning. "Overall, intelligent cloud robots paint the most vibrant picture of how 5G's ultra-low latency, exponentially faster speeds and wider reach can dramatically improve response time and enable a new world of applications," said Bill Huang, founder and CEO of CloudMinds. "With vision-controlled grasping and the ability to perform intricate tasks, the XR-1 simply raises the bar and lays the foundation for an even wider range of intelligent compliant cloud service robots from CloudMinds – from wheeled to two-legged form factors. We are proud to be ushering in a new era of helpful robots for homes and businesses, with an emphasis on the importance of human input."


Machine Learning for Text Analytics is Getting a Boost

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BLOOMINGTON, Ind., Oct. 22, 2019 (GLOBE NEWSWIRE) -- Megaputer Intelligence, Inc. will share an innovative new tool for building training datasets for use in machine learning during a presentation at the Text Analytics Forum '19 held in Washington, DC on November 7. Dr. Sergei Ananyan, CEO of Megaputer Intelligence, Inc., will present a cutting-edge topic entitled, "NLP & Rule-Based Approach for Fact Extraction: Launchpad for Machine Learning Techniques" on Thursday, November 7 at 11:15 AM EST. The Text Analytics Forum will host the presentation at the JW Marriott in Washington, DC as part of its comprehensive programming, running from Nov 4-7. The content of the presentation is designed for people interested in discovering how to achieve higher accuracy from machine learning, relieve the burden of needing experts to manually create a gold standard training dataset, and illuminate the black box surrounding machine learning as much as possible with insight into today's latest technological advances. Professionals such as text analysts, data scientists, DBAs, information knowledge architects, knowledge organizers, taxonomists, ontologists, CIOs, CKOs, research scientists, and data quality managers will benefit greatly from this technique to overcome well-known challenges of machine learning. One fundamental obstacle for using machine learning (ML) to accurately extract facts from free-text documents is that it requires huge quantities of pre-categorized data for training a model.


Can Fair Use Make for Fairer AI? Public Books

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Artificial intelligence has a copyright problem, and this problem is deeply related to questions of ethics and justice. Increasingly, AI is adopted by our banks and our bosses, by our cars and our courts. Across the board, implicit bias remains a significant and complex problem. Several examples have become emblematic of the ways in which implicit bias can channel AI in a prejudiced direction. The Nikon camera that kept asking whether Taiwanese American blogger Joz Wang and her family members were "blinking" while they were taking photographs, for instance, or the time when Google Photos tagged two black friends as "gorillas."


Use of AI in Healthcare Picking Up Momentum, Report Shows 7wData

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Interest in artificial intelligence (AI) is soaring in the healthcare industry, according to a recent Optum survey of 500 US healthcare executives from hospitals, health plans, life sciences organizations, and pharmaceutical and device companies. The survey found an 88% increase this year in the number of healthcare leaders who said their organizations are implementing an AI strategy compared to 2018. Sixty-two percent of the respondents said they had implemented such a strategy, up from 33% last year. The average organization expected to invest $39.7 million in AI over the next 5 years ― $7.3 million more than was estimated last year, Optum found. Many respondents also anticipated a return on investment (ROI) in the near term.


Gartner Announces Top 10 Strategic Technology Trends For 2020

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Today Gartner, Inc. announced its top ten strategic technology trends for 2020. Analysts presented their findings during Gartner IT Symposium in Orlando. Gartner defines a strategic technology trend as "one with substantial disruptive potential that is beginning to break out of an emerging state into broader impact and use, or which is rapidly growing with a high degree of volatility reaching tipping points over the next five years." David Cearley, vice president and Gartner Fellow said, "People-centric smart spaces are the structure used to organize and evaluate the primary impact of the Gartner top strategic technology trends for 2020. Putting people at the center of your technology strategy highlights one of the most important aspects of technology -- how it impacts customers, employees, business partners, society or other key constituencies. Arguably all actions of the organization can be attributed to how it impacts these individuals and groups either directly or indirectly. This is a people-centric approach."