“A design concept created by Nitcha Fame Tothong, an MFA student at the Parsons School of Design in New York, the keyBod “explores the mechanical relationship between the body, mind, and digital environment.””
If all the claims are true, this highly specialized processor is unimaginably fast at certain specific operations.
It’s easy to forget how amazing the dexterity and anatomy of our own hands are–until you learn how difficult they are to replicate for machines. MIT has made big strides in robotic hands this year, and now it’s published a new one.
This week at the International Conference on Intelligent Robots and Systems, Bianca Homberg, Daniela Rus (the director of MIT’s Computer Science and Artificial Intelligence Laboratory) and their colleagues are showing off the latest advance in robotic digits: Modular fingers made of silicone and embedded with sensors, dexterous enough to pick up everything from soft toys to single pieces of paper without needing to be programmed to understand what it’s gripping.
New findings published by quantum scientists in Germany could pave the way towards computer chips that use light instead of electricity to control their internal logic. Where today’s silicon-based electrical computer chips are capable of speeds in the gigahertz range, the German light-based chips would be some 1,000,000 times faster, operating in the petahertz range.
Rather than focusing on an exciting new semiconductor, or some metamaterial that manipulates light in weird and wonderful ways, this research instead revolves around dielectrics. In the field of electronics, materials generally fall into one of three categories: charge carriers (conductors), semiconductors, and dielectrics (insulators). As the name suggests, a semiconductor only conduct electricity some of the time (when it receives a large enough jolt of energy to get its electrons moving). In a dielectric, the electrons are basically immobile, meaning electricity can’t flow across them. Apply too much energy, and you destroy the dielectric. As a general rule, there’s no switching: A dielectric either insulates, or it breaks.
Basically, the Max Planck Institute and Ludwig Maximilian University in Germany have found that dielectrics, using very short bursts of laser light, can be turned into incredibly fast switches. The researchers took a small triangle of silica glass (a strong insulator), and then coated two sides with gold, leaving a small (50nm) gap in between (see below). By shining a femtosecond infrared laser at the gap, the glass started conducting and electricity flowed across the gap. When the laser is turned off, the glass becomes an insulator again.
Engineers at MIT have built a three-fingered robotic hand that can identify and safely grasp delicate objects by relying on an increasingly popular approach to making robots useful: making them soft.
Human hands are not easy for robotics engineers to emulate. The simple act of picking up an item involves all kinds of abilities that humans don’t notice. Among other things, our grip has to be secure without crushing the thing we’re grasping, and our fingers have to form shapes that can fit many types of objects — everything from a sheet of paper or a piece of fruit to a pencil or a living thing.
Continue reading “Engineers have developed a robotic hand that can recognize objects” »
The brand new space opera novel Lightless is a fast-paced, gripping read, and like all good science fiction, explores the human side of cutting-edge scientific concepts. We talked to debut author C.A. Higgins about using real physics in her story.
In Lightless, a prototype spaceship on its maiden voyage on behalf of a totalitarian regime is infiltrated by escaped terrorists. And it’s up to Althea, a socially awkward computer scientist who prefers the company of the Ananke’s disturbingly sentient electronic system to that of her crewmates, to save the day as her well-ordered world begins to unravel.
http://www.amazon.com/Lightless-C-A-Higgins/dp/0553394428?ta…9236004136
This schematic shows the components of the optical rectenna developed at the Georgia Institute of Technology (credit: Thomas Bougher, Georgia Tech)
Using nanometer-scale components, Georgia Institute of Technology researchers have demonstrated the first optical rectenna, a device that combines the functions of an antenna and a rectifier diode to convert light directly into DC current.
The deal with D-Wave Systems will see a steady stream of D-Wave quantum chips used as the foundation of an artificial intelligence lab.
“As part of the BBC’s Intelligent Machines season, Google’s Eric Schmidt has penned an exclusive article on how he sees artificial intelligence developing, why it is experiencing such a renaissance and where it will go next.”
Although it was made in 1968, to many people, the renegade HAL 9000 computer in the film 2001: A Space Odyssey still represents the potential danger of real-life artificial intelligence. However, according to Mathematician, Computer Visionary and Author Dr. John MacCormick, the scenario of computers run amok depicted in the film – and in just about every other genre of science fiction – will never happen.
“Right from the start of computing, people realized these things were not just going to be crunching numbers, but could solve other types of problems,” MacCormick said during a recent interview with TechEmergence. “They quickly discovered computers couldn’t do things as easily as they thought.”
While MacCormick is quick to acknowledge modern advances in artificial intelligence, he’s also very conscious of its ongoing limitations, specifically replicating human vision. “The sub-field where we try to emulate the human visual system turned out to be one of the toughest nuts to crack in the whole field of AI,” he said. “Object recognition systems today are phenomenally good compared to what they were 20 years ago, but they’re still far, far inferior to the capabilities of a human.”
To compensate for its limitations, MacCormick notes that other technologies have been developed that, while they’re considered by many to be artificially intelligent, don’t rely on AI. As an example, he pointed to Google’s self-driving car. “If you look at the Google self-driving car, the AI vision systems are there, but they don’t rely on them,” MacCormick said. “In terms of recognizing lane markings on the road or obstructions, they’re going to rely on other sensors that are more reliable, such as GPS, to get an exact location.”
Continue reading “Artificial Intelligence Must Answer to Its Creators” »
