But are these efforts good news for today’s businesses? Breaking the Law So far, the technology has a 25 percent success rate predicting whole words but scores 90 percent when focused on specific syllables or characters.ĪI is quickly becoming big business. ![]() There’s also the work of Japanese scientists at the Kyushu Institute of Technology aimed at predicting human speech by analyzing brainwaves. Still, it’s a big step forward in unlocking emotional intelligence, which could greatly enhance the ability of AI to relate with human beings. Performance was worse the other way around, with non-funny images made humorous with only 28 percent success. It then attempts to make the images unfunny - a goal it achieved 95 percent of the time. The VT scientists developed a machine-learning algorithm able to recognize funny images by analyzing specific parts of the scene. Ford is developing a set of high-fidelity maps that let the car use any visible markers to determine its exact position on the road, in turn freeing up more active processing to detect other cars or pedestrians in motion.Ī team at Virginia Tech, meanwhile, has been hard at work on something more abstract: humor. When typical lane markers and street signs are obscured, most smart cars are reduced to hurtling steel idiots. According to Wired, the company is on track to solve one major problem with AI vehicles: bad weather. It can perform social interactions such as shake hands, make eye contact and respond to simple queries.īack in the U.S., automaker Ford is tackling the challenge of intelligent, self-driving cars. According to TODAY, for example, Facebook founder Mark Zuckerberg is developing a simple AI to help run his home and help with his work - he likens it to JARVIS, Tony Stark’s intelligent robot butler in the “Iron Man” films.Īt Nanyang Technological University in Singapore, researchers have developed an AI receptionist that looks fully human at first glance. Smart Choices?ĪI interest is quickly ramping up as both physical and virtual technologies make it possible for robots to better mimic human action and provide seemingly normal responses. In other words, it’s time to meet Frankenstien’s children. In fact, both intelligent machines and their software come with significant risk to line-of-business (LOB) aims. ![]() The lack of murderous intent, however, doesn’t remove the risk of IT security issues born from emerging AI technologies. ![]() But artificial intelligence (AI) solutions have been in development for years and the worry of a “Frankenstein’s Monster” scenario is virtually nonexistent. It’s the ultimate nightmare scenario: Highly intelligent robots shake off the yoke of their human masters and rebel - often violently and with the aim of eradicating or enslaving humanity.
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