Germany, France and Japan have joined forces to fund research into "human-centered" artificial intelligence that aims to respect privacy and transparency, in the latest sign of a global split with the U.S. and China over the ethics of AI. The three countries' funding agencies have put out a joint call for research proposals, backed by an initial 7.4 million euros ($8.2 million). They stressed that they "share the same values" and warned that the technology has the potential to "violate individual privacy and right to informational self-determination." Observers see the move as part of a wider divergence in AI research priorities, with Europe, plus Japan and potentially Canada, taking the lead on its ethical development. "We share the same beliefs and the same standards," said Susanne Sangenstedt, a program officer at the German Research Foundation who is helping to oversee the collaboration.

David Brown is Professor of Mathematics and Statistics at Utah State University. A while back he gave a talk in the Science Unwrapped series from the College of Science titled "Artificial Intelligence: Too Late to Stop the Robot Apocalypse?" Professor Brown says "Perhaps ironically, salient technology superstars, like Elon Musk and Bill Gates, and publicly known geniuses, like Stephen Hawking, have spoken out and warned us about the advent of artificial intelligence (AI). On the other hand, doing so won them the Luddite Award from CNET, and'alarmist' labels from WIRED and E & T magazines. Is AI the next atomic bomb and are AI research labs the next Los Alamos? If Yes, are there nevertheless compelling reasons to pursue AI?

Most stocks, no matter how well they perform, eventually hit a rough patch that can serve as an excellent entry point for opportunistic investors. That may be the situation Baidu (NASDAQ:BIDU) currently finds itself in. Between the U.S.-China trade war and a decelerating economy, the internet tech giant has been feeling the pressure from multiple angles. As a result, Baidu's shares are down by about 50.7% from a year ago. Further, Baidu's valuation is down as well, trading at just 7.90 times past and 15.57

Although the idea of "artificial intelligence" has been around since 1956, this seems to be a breakthrough year for AI in the restaurant space. Major players from Chick-fil-A to Chipotle to Domino's have implemented AI in some form or fashion, whether to identify food safety issues, scale up logistics or generate orders via voice assistance. Even some smaller chains are getting on board the AI train. In February, Colorado-based Good Times Burger & Frozen Custard launched its conversational AI platform through a partnership with Valyant AI, for example. Perhaps the biggest breakthrough came when McDonald's adopted the technology.

AAR (NYSE: AIR), a leading aviation services provider to commercial airlines and governments worldwide, has announced the integration of Donecle drone technology into its award-winning maintenance, repair and overhaul (MRO) operations. AAR s Miami MRO facility is the first in its global network to use the fully automated drone technology to drive operational and cost efficiencies, where the pilot phase has yielded increases in speed and precision. With laser positioning, the drone can safely perform end-to-end visual inspections of B737 and A320 aircraft in under an hour. "In exploring opportunities to increase efficiencies and best utilize our skilled workforce, AAR continually assesses opportunities to digitally enable our businesses," said Rahul Ghai, AAR Chief Digital Officer. "In the case of our MRO sites, our investments in technologies like drones, machine learning and mobile devices will drive a more efficient operation, optimized technician schedules, as well as improved turnaround times achieved through faster and more accurate inspections and maintenance plan execution. This will lead to ultimately higher customer satisfaction, while helping us build out richer data to enhance our overall maintenance planning and execution capabilities."

CAMBRIDGE, Mass.–InterSystems, a global leader in information technology platforms for health, business, and government applications, announced Clean Data as a Solution, the newest offering in the family of HealthShare Managed Solutions, at InterSystems Global Summit 2019, the company's annual conference held in Boston. The future of healthcare requires the analysis and application of clean data to ensure business operations run smoothly and patients receive optimal care. Clean Data as a Solution enables healthcare organizations to clean, normalize, aggregate, and interpret data quickly and accurately, opening the door to more advanced, automated applications. "There is no machine learning without data. Just as clean water is essential to public health, clean data is essential to digital health. Clean Data as a Solution offers providers, payers, and patients a clean data set to accelerate the application of AI and machine learning-driven insights."

The ISI Foundation is looking for excellent candidates at all level of seniority to join the Financial AI Lab, a mixed initiative between fundamental research performed at ISI Foundation and real-world business-driven challenges posed by Intesa Sanpaolo Group (the largest financial group in Italy, and 3rd largest in Europe). The appointed researchers will develop and apply data science and machine learning algorithms to solve interesting problems in the financial domain, having access to exclusive data provided by the industrial partner, while being fully embedded in a research institute with the freedom of pursuing curiosity-driven research. Mentoring will be provided by a multidisciplinary team including Francesco Bonchi, Paolo Bajardi, Andre Panisson, Gianmarco De Francisci Morales, David Garcia-Soriano, and others. Core skills you will need for this position: - PhD in Computer Science, Computer Engineering, Machine Learning, Statistics, or a related quantitative field. ISI offers an unusually rich opportunity for collegial interaction in a highly competitive environment.

But when it comes to how machine learning (ML) might benefit humanity, there's almost no field more promising than healthcare. Hardly a month passes when we don't hear about a new disease that machine learning models have learned to tag faster and more accurately than trained clinicians. ML is being used to help doctors spot tumors in medical scans, speed up data entry, and respond automatically to hospital patients' needs. These ML-powered breakthroughs come at a crucial time, as the shortage of doctors and specialists in the US and worldwide continues to grow. As our demand for doctors surpasses supply, we may well find ourselves depending on technology to help fill in the gaps.

This week's guest is Mark Ryan, author of the upcoming book Deep Learning with Structured Data. Get 40% off the book with the discount code podlocalmax19, at Manning Publishing. To get Deep Learning with Structured Data as a free e-book, be one of the first 5 to email localmaxradio@gmail.com and request the secret code. As of today, 5 remain to be claimed! 4 remain to be claimed 3 remain to be claimed 2 remain to be claimed 1 more remains Deep Learning with Structured Data will teach you to apply powerful deep learning analysis techniques to structured data found in the relational databases that real-world businesses depend on. Mark Ryan has 20 years of experience leading teams delivering IBM's premier relational database product.

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