Researchers at Facebook realized their bots were chattering in a new language. Then they stopped it.
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Category: robotics/AI – Page 2,371
Fast, Efficient bloodstream robots
The unique swimming strategies of natural microorganisms have inspired recent development of magnetic micro/nanorobots powered by artificial helical or flexible flagella. However, as artificial nanoswimmers with unique geometries are being developed, it is critical to explore new potential modes for kinetic optimization. For example, the freestyle stroke is the most efficient of the competitive swimming strokes for humans. Here we report a new type of magnetic nanorobot, a symmetric multilinked two-arm nanoswimmer, capable of efficient “freestyle” swimming at low Reynolds numbers. Excellent agreement between the experimental observations and theoretical predictions indicates that the powerful “freestyle” propulsion of the two-arm nanorobot is attributed to synchronized oscillatory deformations of the nanorobot under the combined action of magnetic field and viscous forces. It is demonstrated for the first time that the nonplanar propulsion gait due to the cooperative “freestyle” stroke of the two magnetic arms can be powered by a plane oscillatory magnetic field. These two-arm nanorobots are capable of a powerful propulsion up to 12 body lengths per second, along with on-demand speed regulation and remote navigation. Furthermore, the nonplanar propulsion gait powered by the consecutive swinging of the achiral magnetic arms is more efficient than that of common chiral nanohelical swimmers. This new swimming mechanism and its attractive performance opens new possibilities in designing remotely actuated nanorobots for biomedical operation at the nanoscale.
Each bot is 5 micrometres long and has three main parts, connected together like sausage links by two silver hinges. Its gold body is flanked by two magnetic arms made of nickel, and applying a magnetic field to the tiny robot makes the arms move.
The next generation bloodstream will be made from biodegradable materials before they can be used in the bloodstream. Less complicated areas in the human body like the urinary tract or the eyeballs should see clinical trials begin within the next five to 10 years. Injecting a single swimmer into an eyeball, where it could deliver medication directly to the retina and then be removed, would be much less complicated than letting a swarm of them swim throughout the entire circulatory system.
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Robot stockboys to roam aisles at grocery store chain
Is this the beginning of Skynet? A robot is being hired to help out shoppers at a St. Louis grocery store chain.
Tally will be working the aisles at Schnucks grocery stores looking for items that are out of stock and checking on prices, the St. Louis Post-Dispatch reported.
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Google’s DeepMind creates AI with an ‘imagination’
Google’s DeepMind has revealed a radical new research project designed to give AI’s an imagination.
The breakthrough means that systems will be able to think about their actions, and undertake ‘deliberate reasoning.’
The radical system uses an internal ‘imagination encoder’ that helps the AI decide what are and what aren’t useful predictions about its environment.
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Second version of HoloLens HPU will incorporate AI coprocessor for implementing DNNs
By Marc Pollefeys, Director of Science, HoloLens
It is not an exaggeration to say that deep learning has taken the world of computer vision, and many other recognition tasks, by storm. Many of the most difficult recognition problems have seen gains over the past few years that are astonishing.
Although we have seen large improvements in the accuracy of recognition as a result of Deep Neural Networks (DNNs), deep learning approaches have two well-known challenges: they require large amounts of labelled data for training, and they require a type of compute that is not amenable to current general purpose processor/memory architectures. Some companies have responded with architectures designed to address the particular type of massively parallel compute required for DNNs, including our own use of FPGAs, for example, but to date these approaches have primarily enhanced existing cloud computing fabrics.
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Google’s machine learning algorithm gets human help in quest for fusion power
Hot on the heels of last month’s nuclear fusion breakthrough comes the first results from a multi-year partnership between Google and Tri Alpha Energy, the world’s largest private fusion company. The two organizations joined forces in 2014 in the hopes that Google’s machine learning algorithms could advance plasma research and bring us closer to the dream of fusion power.
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China’s “Minority Report” Style Plans Will Use AI to Predict Who Will Commit Crimes
Authorities in China are exploring predictive analytics, facial recognition, and other artificial intelligence (AI) technologies to help prevent crime in advance. Based on behavior patterns, authorities will notify local police about potential offenders.
Cloud Walk, a company headquartered in Guangzhou, has been training its facial recognition and big data rating systems to track movements based on risk levels. Those who are frequent visitors to weapons shops or transportation hubs are likely to be flagged in the system, and even places like hardware stores have been deemed “high risk” by authorities.
A Cloud Walk spokesman told The Financial Times, “Of course, if someone buys a kitchen knife that’s OK, but if the person also buys a sack and a hammer later, that person is becoming suspicious.” Cloud Walk’s software is connected to the police database across more than 50 cities and provinces, and can flag suspicious characters in real time.
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