They have the potential to improve performance while reducing the overhead of communicating across groups, and they stand to provide significant benefits to organizations, especially if deployed across large workforces or consumer bases.Īt the same time, CIOs should be planning for the introduction of Watson-based technologies. Another project, FeedMe, learns what web content a user’s friends like to hear about and then helps the user share content with them.ĬIOs should look toward the adoption of some of these solutions, which can be especially appealing to Gen Y employees who prefer to communicate through social media rather than e-mail. One project is Atomate, which allows for the creation of smart reminders and automatically performs actions based upon where users are, what they’re doing, and the messages and information they receive from the web. For example, the Haystack Group at MIT focuses on uses of AI to make it easier for people to collect, organize, find, visualize, and share information. Moreover, small web-based AI systems that are close to deployment offer great potential for improving worker productivity. AI systems will, in effect, allow vehicles to act as “always on” mobile computer platforms, increasing the effectiveness and productivity of the mobile workforce. Research at MIT is progressing on a project named CarTel, a distributed mobile sensor and telematics system that can monitor Wi-Fi hot spots, help commuters visualize and plan their trips, and interface with a vehicle’s onboard systems to provide early warning of mechanical problems. Aston Martin has used neural networks to detect cylinder misfires, Audi uses fuzzy logic to assist transmissions in gear selection, and Ford uses knowledge-based systems in its mainstream manufacturing processes. While practical applications of the Watson technology are probably some way off, other forms of AI are already in use in certain industries, such as automobiles. The system, which is not connected to the internet, will meet this challenge by integrating data and analytics from multiple models of each problem in parallel to rapidly develop a set of possible solutions before selecting the best one - and answer in English. One of Watson’s biggest hurdles will be the ambiguity of natural language. IBM’s Watson computer will be a guest on Jeopardy! to compete against the show’s superstars, Brad Rutter and Ken Jennings, for $1 million. On February 14-16 IBM will take another step toward machine intelligence. ![]() In 1997 IBM’s Deep Blue computer beat world chess champion Garry Kasparov, and in 2001 IBM’s AI “bots” did better than humans in trading commodities such as gold and pork bellies, making 7% more profit. Big Blue has been working on AI since the 1950s, when a researcher created a system that could play checkers at an expert level and “learned” as it went along. Perhaps all of this is about to change, courtesy of IBM. Even the internet search engine I use is not very smart - it’s just a fancy look-up mechanism. I remember telling my friends that by 2001 we would all have a HAL to help us manage our lives.īut here we are, four decades later, and my fridge doesn’t even order milk for me when I run out its IQ, like that of my microwave, is close to zero. It inspired me to study computer science, eventually leading me to a PhD in artificial intelligence. ![]() ![]() Clarke’s 2001: A Space Odyssey, featuring the HAL 9000 computer with its rogue personality. The movie was Stanley Kubrick and Arthur C. Will a TV game show next week change some kid’s life in the same way? A powerful science-fiction movie changed my life 43 years ago.
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