Computers are getting better than humans at reading

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The robots are coming, and they can read. Artificial intelligence programs built by Alibaba (BABA) and Microsoft (MSFT) have beaten humans on a Stanford University reading comprehension test. "This is the first time that a machine has outperformed humans on such a test," Alibaba said in a statement Monday. The test was devised by artificial intelligence experts at Stanford to measure computers' growing reading abilities. Alibaba's software was the first to beat the human score.


Coursera Coupons Min 10% off 100% Free Courses Student Offer

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Learn Machine Learning Stanford University Professor and earn certification to full proof your career. Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI.


Understanding Supply & Demand in Ride-hailing Through the Lens of Grab Data

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Grab's ride-hailing business in its simplest form is about matchmaking Passengers looking for a comfortable mode of transport and Drivers looking for a flexible earning opportunity. Over the last 6 years, Grab has repeatedly fine-tuned its machine learning algorithms with the goal of ensuring that passengers get a ride when they want it, and that they are matched to the drivers that are closest to them. But drivers are constantly on the move, and at any one point there could be hundreds of passengers requesting a ride within the same area. This means that sometimes, the closest available drivers might still be too far away. The Analytics team at Grab attempts to analyze these instances at scale via clearly-defined metrics.


AI Biweekly: Trending StyleGAN Raises Concerns; AI Applications in the Finance Industry

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StyleGAN is an open-source, hyperrealistic human face generator with easy-to-use tools and models. An Uber engineer has now used StyleGan to create the website ThisPersonDoesNoteExist.com, which generates a new fake face every time the top page is refreshed. This site is trending, but the tech behind it not without controversy. GANs (Generative Adversarial Networks) are one of the most interesting technologies in Artificial Intelligence and Computer Vision. GANs have, however, also been used to build "deepfakes" in which individuals' faces are realistically superimposed on target videos, effectively making them appear to be another person -- and that other person is very often appearing in a porn film.


The risks and advantages of artificial intelligence

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What should companies know about AI and the future of work, and what risks can harm the advantages of artificial intelligence?



Minimax or Maximin?

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Minimax, as the name suggest, is a method in decision theory for minimizing the maximum loss.


Robocop joins Kerala Police! CM launches KP-Bot, first humanoid robot cop in India

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Embarking on the much-coveted road towards automation, India has launched its first humanoid robot cop in Kerala. Visitors to the Kerala Police Headquarters in the state capital will be greeted by the Robocop and will even direct you to where you need to go. The administration has decided to deploy the KP-Bot at the front office of the police headquarters. Inaugurating the humanoid robot cop named KP-bot on Tuesday, Chief Minister Pinarayi Vijayan made it the first ever police department in India to have a robot for police work. Chief Minister Vijayan inducted robot into the service with an honorary salute and the'RoboCop' responded with a perfect salute; the Robocop has been given the rank of Sub Inspector (SI).


AI Is Lifting Service-Center Performance - Bain & Company

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The science of service centers has advanced with hold-time estimates, call-back options and voice-recognition technologies. Yet once the customer reaches an agent, odds are high that the agent will not be able to solve the problem in one go. Unsolved problems lead to more complaints, greater customer churn and wasted time of employees trying to calm upset customers. Artificial intelligence (AI) promises to substantially improve the experience. Early efforts are helping companies improve the overall customer experience, while reducing costs--in staff time, service escalations such as field technician visits, and defecting customers--in the bargain.


Artificial Intelligence: Crossroads – Data Driven Investor – Medium

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Will the advent of A.I. allow us to embark upon a complete overhaul of traditional labor structures? This is a question that comes up less frequently than others and one that has an answer that is wholly dependent on whether or not we'd like to take an optimistic or pessimistic view. In another way to phrase it -- A.I. can be seen as the harbinger of an age where humankind can, for the most part, finally unshackle themselves from the toils of labor. Conversely, it can also be regarded -- and is often regarded in this way -- as an enormous threat to employment, set to disrupt almost every industry and cause massive scale job loss. Assuming an optimistic perspective, it's certainly an exciting proposition, one that would have to be supplemented with some measure of a universal basic income for everyone or some completely innovative way by which resources can be accumulated by members of society.