By Paul KvintaPosted 09.06.2012 at 10:35 am 1 Comment
Simon the robot has just learned a new skill: transferring a red block from one hand into a coffee cup held by the other. But like an eager preschooler, he wants to know more. “Can I begin here?” he asks, lifting the block high. Simon has two arms, eight fingers, doe eyes, and a monotone voice. With each question and answer, he is doing what roboticist Andrea Thomaz calls “whittling away the hypothesis space,” or eliminating information that is not essential.
Oriental fruit flies are one of the biggest scourges to farmers around the globe, often forcing officials to put crops into quarantine just to keep Bactrocera dorsalis shut out. In Taiwan, where the situation is especially dire, scientists are using artificial intelligence tech that can determine, with uncanny accuracy, where and when an outbreak is about to happen.
If you've been convinced for years that John Madden has been replaced by an iPod filled with generic football commentary, you might be excited to learn that Switzerland's Ecole Polytechnique Federale de Lausanne has been working on an even more advanced version. This one is equipped with artificial intelligence so it can actually see what's happening on the field and provide commentary.
Last time we looked at the UK's teeming video surveillance technology sector we were writing about facial recognition software that Scotland Yard was trialling during the recent London riots. But facial recognition is both fraught with privacy concerns and difficult to make reliable.
Steve Carell's final episode of The Office aired last night, and without him, we're left with a hole in our lives where those "that's what she said" jokes (hereby referred to as TWSS jokes) should be. Luckily, a couple of computer scientists have created some software that recognizes the opportunity to make a TWSS joke in the midst of natural language. It sounds like a huge effort, but definitely has the potential to fill that hole. (That one was a gimme.)
Researchers at SUNY Buffalo and Amrita University in India have managed to create a tracking network that works well even with the cheapest of cameras. How? It uses the power of its cold, rational brain to make up for any flaws in the equipment.
Hey, it can win on Jeopardy, so let's put our lives in its hands
By Paul Adams and Dan NosowitzPosted 02.17.2011 at 11:10 am 16 Comments
Last night, after Watson swept the floor with the human race, we asked Dr. David Ferrucci, head of the Watson team, about him. It. The brainmachine is really good at analyzing and assimilating data, so it seemed that, when it comes to feeding it data, who would know more about machine learning than Watson? Is Watson able to clearly identify what areas it wants to know more about?
Self-checkout kiosks at the grocery store can save time and space for quick shoppers, but if an item doesn't have a bar code--like, say, produce (hopefully)--you still have to search through the list of variations, which can lose any time you've gained by phasing out human interaction. But a new system from Toshiba uses a constantly-learning database and a webcam to identify individual types of produce. Where were you during apple season, Toshiba?