Robots and other artificial intelligence will replace humans for many service industry jobs as some of the world's technology companies expand their improving research, according to a business consulting firm's new report. New York-based Forrester Research says six percent of jobs could be filled by "early-stage intelligent agents," or IAs, by 2021 as tech giants like Facebook, Amazon, and Apple continue to develop smarter, algorithm-based bots like Siri and Alexa. It also named industries like trucking and taxis, which could see revolutionary technology like self-driving cars replace humans. "By 2021, a disruptive tidal wave will begin," Brian Hopkins, vice president at Forrester, wrote in the report. "Solutions powered by AI/cognitive technology will displace jobs, with the biggest impact felt in transportation, logistics, customer service, and consumer services."
How can scientists deal with the huge volume of new research publish on a daily basis? How can computers go further than merely parsing scientific papers, and actually suggest hypotheses themselves? When will we see a computer as another member of the lab team, serving hundreds of scientists simultaneously from its huge data set of extant research? This is the work of John Bachman, a systems biology PhD from Harvard Medical School, and Ben Giori, a postdoctoral fellow at Harvard Medical School's systems pharmacology lab. They're part of Darpa's Big Mechanism project, which is developing technology to read research abstracts and papers to extract pieces of causal mechanisms, then to assemble these pieces into more complete causal models, and to produce explanations.
Apple Watch: The versatile Apple Watch (from $399 for Series 4) is also a decent gaming platform for players on the go. There's a lot to like about Apple Watch (Series 4, from $399), a trendy wearable that can help calculate your fitness, monitor your health, and lets you tap to make payments at retail. It can take calls and texts, show you photos posted to social media, navigate streets with maps, and it supports Siri, Apple's personal assistant, so you can raise your wrist to ask a question or give a command. And despite its teeny screen, Apple Watch is also a convenient gaming platform. Oh sure, don't expect a deep experience as you might find on a PC or console, but tapping through a "quick fix" digital diversion may help pass the time in line at a supermarket.
When IBM's Deep Blue computer won its first game of chess against world champion Garry Kasparov in 1996, the public got a real taste of how powerful computers had become in competing with human intelligence. Since then, not only has computing power grown exponentially but the cost of processing power has fallen dramatically. These trends, combined with advances in artificial intelligence algorithms have enabled the development of systems that can, in some instances, perform tasks better than human beings. Video surveillance is one of these tasks; and certainly there is a large market opportunity given there has been little increase in the ability to analyze video, despite the massive growth in surveillance and in the storage of video data. According to IHS, 127 million surveillance cameras and 400 thousand body-worn cameras will ship in 2017 - in addition to the estimated 300 million cameras already deployed - and approximately 2.5 billion exabytes of data will be created every day.
Something strange happened in the world of artificial intelligence (AI) on Wednesday. Facebook CEO Mark Zuckerberg posted on his Facebook profile that his company has created an AI system that is "getting close" to beating the best humans at Chinese board game Go. Hours later, DeepMind -- a startup based in London that was bought by Google for 400 million in 2014 -- said it had already developed an AI named AlphaGo that had just beaten the best Go player in Europe. DeepMind's breakthrough was splashed across the front cover of science journal Nature yesterday evening and covered by over 200 media titles. "This is the first time that a computer Go program has defeated a human professional player, without handicap, in the full game of Go - a feat that was previously believed to be at least a decade away," explained the DeepMind research paper -- Mastering the game of Go with deep neural networks and tree search.