Category: AI
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New neural networks. Predicting. Machines. Humans. (From wisdom to knowledge to data)
A new type of neural network made with memristors can dramatically improve the efficiency of teaching machines to think like humans. The network, called a reservoir computing system, could predict words before they are said during conversation, and help predict future outcomes based on the present. Memristors are a special type of resistive device that […]
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Training machines to listen. Life. Tautologies.
Brain-computer interfaces, known as BCI, can replace bodily functions to a certain degree. Thanks to BCI, physically impaired persons can control special prostheses through the power of their minds, surf in internet and write emails. Under the title of “Brain Composer,” a group led by BCI expert Gernot Müller-Putz from TU Graz’s Institute of Neural […]
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Biometrics. Changing faces. Old young souls…
Biometrics experts set out to investigate to what extent facial aging affects the performance of automatic facial recognition systems. They found that 99 percent of the face images can still be recognized up to six years later. The results also showed that due to natural changes that occur to a face over time as a […]
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(Mechanical) Cockroaches. Exploring. Becoming alive…
New research from North Carolina State University offers insights into how far and how fast cyborg cockroaches – or biobots – move when exploring new spaces. The work moves researchers closer to their goal of using biobots to explore collapsed buildings and other spaces in order to identify survivors. Researchers introduced biobots into a circular […]
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Computers listening to humans. Humans becoming like computers…
Speech recognition software isn’t perfect, but it is a little closer to human this week, as a Microsoft Artificial Intelligence and Research team reached a major milestone in speech-to-text development: The system reached a historically low word error rate of 5.9 percent, equal to the accuracy of a professional (human) transcriptionist. The system can discern […]
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