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ScienceDaily's AI News
Artificial Intelligence News. Everything on AI including futuristic robots with artificial intelligence, computer models of human intelligence and more.
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Computers are able to recognize objects in in photographs and other images, but how well can they 'understand' the relationships or implied activities between objects? Researchers have devised a 'visual Turing test' to evaluate how well computers perform at that task.
Biorobotics researchers have developed the first aerial robot able to fly over uneven terrain that is stabilized visually without an accelerometer. Called BeeRotor, it adjusts its speed and avoids obstacles thanks to optic flow sensors inspired by insect vision. It can fly along a tunnel with uneven, moving walls without measuring either speed or altitude.
Moves are being made to automate the identification of Saimaa ringed seals. This would bring new kinds of real-time information on how the extremely endangered species behaves, the movements of individual seals, and what happens to them. The final aim of an ongoing study on machine vision is to get a biometric passport for each individual Saimaa ringed seal. This happens on the basis of the unique fur patterns of each individual seal, using computer-based smart calculation and digital image processing. The aim is to store the information in a so-called Saimaa ringed seal database.
Who is the teacher: the student or the machine? By showing a robot how to write letters, children improve their writing skills and gain self-confidence.
Reading a text is something that each of us does at our own individual pace. This simple fact has been exploited by computer scientists who have developed a software system that recognizes how fast a text on a display screen is being read and then allows the text to scroll forward line by line at the right speed. The technology makes use of commercially available eye-tracking glasses, which are able to capture the motion of the user’s eyes and convert this into a reading speed.
A mechanical engineer and his team have developed a computer-controlled camera that enables their robotic ankle to see where it is going.
Researchers have come up with a more accurate way than currently possible to train computers to be able to digest data that comes in the form of images and extract the emotions they convey.
People typically consider doing the laundry to be a boring chore. But laundry is far from boring for artificial intelligence researchers. To AI experts, programming a robot to do the laundry represents a challenging planning problem because current sensing and manipulation technology is not good enough to identify precisely the number of clothing pieces that are in a pile and the number that are picked up with each grasp. People can easily cope with this type of uncertainty and come up with a simple plan. But roboticists for decades have struggled to design an autonomous system able to do what we do so casually--clean our clothes.
Researchers have developed a prototype of a social robot which supports independent living for the elderly, working in partnership with their relatives or carers.
Scientists have developed an octopus-like robot, which can zoom through water with ultra-fast propulsion and acceleration never before seen in human-made underwater vehicles. Most fast aquatic animals are sleek and slender to help them move easily through the water but cephalopods, such as the octopus, are capable of high-speed escapes by filling their bodies with water and then quickly expelling it to dart away. Inspired by this, scientists built a deformable octopus-like robot with a 3D printed skeleton with no moving parts and no energy storage device, other than a thin elastic outer hull.
For decades, researchers in artificial intelligence, or AI, worked on specialized problems, developing theoretical concepts and workable algorithms for various aspects of the field. Computer vision, planning and reasoning experts all struggled independently in areas that many thought would be easy to solve, but which proved incredibly difficult.
Eve, an artificially intelligent 'robot scientist' could make drug discovery faster and much cheaper, say researchers writing in the Royal Society journal Interface. The team has demonstrated the success of the approach as Eve discovered that a compound shown to have anti-cancer properties might also be used in the fight against malaria.
Computers are able to use monkey facial patterns not only to correctly identify species, but also distinguish individuals within species, a team of scientists has found. Their findings, which rely on computer algorithms to identify guenon monkeys, suggest that machine learning can be a tool in studying evolution and help to identify the factors that have led to facial differentiation in monkey evolution.