Information Technology


Using artificial intelligence to enrich digital maps

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A model invented by researchers at MIT and Qatar Computing Research Institute (QCRI) that uses satellite imagery to tag road features in digital maps could help improve GPS navigation. Showing drivers more details about their routes can often help them navigate in unfamiliar locations. Lane counts, for instance, can enable a GPS system to warn drivers of diverging or merging lanes. Incorporating information about parking spots can help drivers plan ahead, while mapping bicycle lanes can help cyclists negotiate busy city streets. Providing updated information on road conditions can also improve planning for disaster relief.


A New AI Ethics Center Investigates Growing Anxiety About Intelligent Machines - IntelligentHQ

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The pace of progress in artificial intelligence is scaring many people, that feel threatened by the huge impact automation might have on employment, and other areas such as the development of autonomous weapons. A question growing in the heads of experts, deeply aware of the impact of AI on society, is how to understand and predict what can happen, when increasingly automated complex systems fail, or go off track. As John Danaher wrote in the Institute for Ethics & Emerging Technologies, "Artificial intelligence is a classic risk/reward technology. If developed safely and properly, it could be a great boon. Trying to deliver some answers to this and other questions, Carnegie Mellon University just launched a new center, entitled K&L Gates Endowment for Ethics and Computational Technologies.


Top Quotes about AI, Automation and Robotics - Supply Chain Today

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"Artificial intelligence is growing up fast, as are robots whose facial expressions can elicit empathy and make your mirror neurons quiver." "In the long term, artificial intelligence and automation are going to be taking over so much of what gives humans a feeling of purpose." "I predict that, because of artificial intelligence and its ability to automate certain tasks that in the past were impossible to automate, not only will we have a much wealthier civilization, but the quality of work will go up very significantly and a higher fraction of people will have callings and careers relative to today." "Let's start with the three fundamental Rules of Robotics…. We have: one, a robot may not injure a human being, or, through inaction, allow a human being to come to harm. Two, a robot must obey the orders given it by human beings except where such orders would conflict with the First Law. And three, a robot must protect its own existence as long as such protection does not conflict with the First or Second Laws." "In 30 years, a robot will likely be on the cover of time magazine as the best CEO. Machines will do what human beings are incapable of doing. Machines will partner and cooperate with humans, rather than become mankind's biggest enemy."


Top Quotes about AI, Automation and Robotics - Supply Chain Today

#artificialintelligence

"Artificial intelligence is growing up fast, as are robots whose facial expressions can elicit empathy and make your mirror neurons quiver." "In the long term, artificial intelligence and automation are going to be taking over so much of what gives humans a feeling of purpose." "I predict that, because of artificial intelligence and its ability to automate certain tasks that in the past were impossible to automate, not only will we have a much wealthier civilization, but the quality of work will go up very significantly and a higher fraction of people will have callings and careers relative to today." "Let's start with the three fundamental Rules of Robotics…. We have: one, a robot may not injure a human being, or, through inaction, allow a human being to come to harm. Two, a robot must obey the orders given it by human beings except where such orders would conflict with the First Law. And three, a robot must protect its own existence as long as such protection does not conflict with the First or Second Laws." "In 30 years, a robot will likely be on the cover of time magazine as the best CEO. Machines will do what human beings are incapable of doing. Machines will partner and cooperate with humans, rather than become mankind's biggest enemy."


IBM's Watson Center pitches AI for everyone, from chefs to engineers

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At the IBM Watson Experience Center, digital and physical worlds meet in a futuristic-looking lounge overlooking San Francisco's Financial District. "Regardless of the industry you're in, there's likely an application for AI … even as a chef," said IBM's data and AI engagement lead Euniq Nebo, as he stood before a 32-foot digital screen displaying human-size images of various professionals. A chef on the screen stepped forward and came to life. Nebo spoke of questions facing a restaurant chef, such as which cutting-edge tools to invest in, or whether to incorporate local produce into a cuisine. But IBM is betting its AI can "extract the insights" from data to help its clients stay ahead of the curve, Nebo said.


Deep learning enables real-time imaging around corners: Detailed, fast imaging of hidden objects could help self-driving cars detect hazards

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"Compared to other approaches, our non-line-of-sight imaging system provides uniquely high resolutions and imaging speeds," said research team leader Christopher A. Metzler from Stanford University and Rice University. "These attributes enable applications that wouldn't otherwise be possible, such as reading the license plate of a hidden car as it is driving or reading a badge worn by someone walking on the other side of a corner." In Optica, The Optical Society's journal for high-impact research, Metzler and colleagues from Princeton University, Southern Methodist University, and Rice University report that the new system can distinguish submillimeter details of a hidden object from 1 meter away. The system is designed to image small objects at very high resolutions but can be combined with other imaging systems that produce low-resolution room-sized reconstructions. "Non-line-of-sight imaging has important applications in medical imaging, navigation, robotics and defense," said co-author Felix Heide from Princeton University.


Gentackle (@gentackle)

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Are you sure you want to view these Tweets? Agreed, and appreciate the parallel drawn here. Definitely a huge challenge to regulate these emerging & booming sectors. Interesting reading this as well: «I have been proud to work with #Tesla on advancing cleaner, more #sustainable #transportation technologies. Impact of #Digitalization and #Automation, #futureofwork "This is your #pilot speaking.


Google CEO eyes major opportunity in healthcare, says will protect privacy - Reuters

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DAVOS, Switzerland (Reuters) - Sundar Pichai, the CEO of Alphabet Inc and its Google subsidiary, said on Wednesday that healthcare offers the biggest potential over the next five to 10 years for using artificial intelligence to improve outcomes, and vowed that the technology giant will heed privacy concerns. U.S. lawmakers have raised questions about Google's access to the health records of tens of millions of Americans. Ascension, which operates 150 hospitals and more than 50 senior living facilities across the United States, is one of Google's biggest cloud computing customers in healthcare. "When we work with hospitals, the data belongs to the hospitals," Pichai told a conference panel at the World Economic Forum in Davos, Switzerland. "But look at the potential here. Cancer if often missed and the difference in outcome is profound. In lung cancer, for example, five experts agree this way and five agree the other way. We know we can use artificial intelligence to make it better," Pichai added.


AI Isn’t a Solution to All Our Problems

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From the esoteric worlds of predictive health care and cybersecurity to Google's e-mail completion and translation apps, the impacts of AI are increasingly being felt in our everyday lived experience. The way it has crepted into our lives in such diverse ways and its proficiency in low-level knowledge shows that AI is here to stay. But like any helpful new tool, there are notable flaws and consequences to blindly adapting it. AI is a tool--not a cure-all to modern problems. AI tools aim to increase efficiency and effectiveness for organizations that implement them.


Operationalizing AI

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When AI practitioners talk about taking their machine learning models and deploying them into real-world environments, they don't call it deployment. Instead the term that's used is "operationalizing". This might be confusing for traditional IT operations managers and applications developers. Why don't we deploy or put into production AI models? What does AI operationalization mean and how is it different from the typical application development and IT systems deployment?