Travel planning is incredibly stressful. Between researching options, paying for bookings, and organizing your itinerary, you may also have to contend with the risk of being beaten and dragged off planes. Machine intelligence can alleviate some of the pain points for both you and the travel companies you book with. Perhaps no one knows this better than Giorgos Zacharia, CTO of Kayak and holder of a Ph.D. in artificial intelligence and machine learning from MIT. "AI is kind of a fashionable domain at present," he says, amused by the recent hype, "but we've been doing machine learning and AI at Kayak for a long time." Almost every aspect of your digital user experience is improved with AI.

Travel planning is incredibly stressful. Between researching options, paying for bookings, and organizing your itinerary, you may also have to contend with the risk of being beaten and dragged off planes. Machine intelligence can alleviate some of the pain points for both you and the travel companies you book with. Perhaps no one knows this better than Giorgos Zacharia, CTO of Kayak and holder of a Ph.D. in artificial intelligence and machine learning from MIT. "AI is kind of a fashionable domain at present," he says, amused by the recent hype, "but we've been doing machine learning and AI at Kayak for a long time." Almost every aspect of your digital user experience is improved with AI. Your preferences towards specific seasons, hotel styles, and price parameters are carefully monitored so that you can be served results you're likely to book.

Travel planning is incredibly stressful. Between researching options, paying for bookings, and organizing your itinerary, you may also have to contend with the risk of being beaten and dragged off planes. Luckily, machine intelligence can alleviate some of the pain points for both you and the travel companies you book with. Perhaps no one knows this better than Giorgos Zacharia, CTO of Kayak and holder of a Ph.D. in artificial intelligence and machine learning from MIT. "AI is kind of a fashionable domain at present," he says, amused by the recent hype, "but we've been doing machine learning and AI at Kayak for a long time." Almost every aspect of your digital user experience is improved with AI.

MIT researchers have announced that they've concocted a new artificial intelligence system capable of successfully detecting 85% of cyber-attacks. The AI2 platform, produced by the MIT's Computer Science and Artificial Intelligence Laboratory (in conjunction with PatternEx, a machine learning startup), has notched up a much better record than previous systems. The 85% accuracy rating is three times better than previous benchmarks which have been recorded, and it also produced far less false positives, in fact a reduction of a factor of five was observed. MIT notes that AI2's initial testing ran over a period of three months and involved combing through some 3.6 billion log lines looking for suspicious activity, using machine learning to make the initial detections and then putting those in front of a human security analyst who confirmed whether or not a detection was an actual cyber-attack. AI2 then learned from that feedback, improving its routines for the next round of detection. Essentially, the system utilises the best in artificial intelligence smarts combined with human error correction which feeds the machine learning process, and AI2 is apparently capable of honing itself rapidly indeed.