Author: Julia Bobak

Humans Need Not Apply: MIT Teaches Robots To Train Each Other

Despite substantial recent advances in both software and hardware, robots still have difficulty planning and carrying out multi-step dexterous manipulation tasks. Yet real-world applications of such dexterity include critical situations, like explosive ordnance disposal and disaster response, considered too dangerous for humans. Typically, robots are programmed using one of two methods. In the first, termed “learning from demonstration”, the robot watches a task being carried out and then replicates the motion. Relative novices without deep coding knowledge can essentially “teach” the robots, but robots programmed this way have difficulty adapting their learned skills to new situations. The alternative method...

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Balancing Machine Learning And Human Intuition In The Travel Industry

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...

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The Future Of Visual Intelligence For Brands

Ever since neural networks began their renewed renaissance in 2012, computer vision has been a ripe field of study and innovation for AI researchers and a fruitful area of applied AI for enterprises. Deep learning enables incredible feats of machine vision, such as classifying image subjects at human parity and dynamically generating completely new imagery. Brands have quickly recognized this technology as a commercial asset. Clarifai, a leading computer vision company with a popular visual intelligence API, was recently used to analyze hundreds of photos of fans during baseball games to identify when they have caught a ball. The...

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