GlobalFoundries has announced 14nm validation with AMD and confirmed Zen’s tapeout.
Category: computing – Page 867
(Phys.org)—” Spooky action at a distance,” Einstein’s famous, dismissive characterization of quantum entanglement, has long been established as a physical phenomenon, and researchers are keen to develop practical applications for entanglement including communication, encryption, and computing.
Quantum entanglement is a phenomenon in which the production or the interactions of a number of particles cannot be described independently of each other, and must instead be described in terms of the whole system’s quantum state.
Two recent experiments with entanglement have been reported in the Proceedings of the National Academy of Sciences, one proving that complex quantum states in photons can be preserved even in turbulent atmospheric conditions; the other demonstrating entanglement swapping between qubits over the 143 kilometers between the Canary Islands and Tenerife.
Short Bytes: Artificial Intelligence holds a special place in the future of the humanity. Many tech giants, including Facebook, have long been working on improving the AI to make lives better. Facebook has decided to reveal its milestones in Artificial Intelligence Research in the form of a progress report.
It doesn’t matter if you are scared of AI like Elon Musk or Stephen Hawking or if you have an opinion same as that of Google’s chief of Artificial Intelligence that computers are remarkably dumb. Companies are still going through the byzantine process of training the machines and creating human brain algorithms. Meanwhile, Facebook has just announced its progress report.
Facebook’s AI research team (FAIR) will present at NIPS, an Artificial Intelligence conference, its report card and reveal the team’s achievements regarding its state-of-the-art systems. Facebook has been trying to improve the image recognition and has created a system that speeds up the process by 30% using 10 times less training data from previous benchmarks.
A new type of ‘nanotweezer’ capable of positioning tiny objects quickly and accurately and freezing them in place could enable improved nanoscale sensing methods and aid research to manufacture advanced technologies such as quantum computers and ultra-high-resolution displays.
A team of researchers with Ulsan National Institute of Science and Technology and Dong-A University, both in South Korea, has developed an artificial skin that can detect both pressure and heat with a high degree of sensitivity, at the same time. In their paper published in the journal Science Advances, the team describes how they created the skin, what they found in testing it and the other types of things it can sense.
Many scientists around the world are working to develop artificial skin, both to benefit robots and human beings who have lost skin sensation or limbs. Such efforts have led to a wide variety of artificial skin types, but until now, none of them have been able to sense both pressure and heat to a high degree, at the same time.
The new artificial skin is a sandwich of materials; at the top there is a flexible surface meant to mimic the human fingerprint (it can sense texture), beneath that sit sensors sandwiched between graphene sheets. The sensors are domed shaped and compress to different degrees when the skin is exposed to different amount of pressure. The compression also causes a small electrical charge to move through the skin, as does heat or sound, which is also transmitted to sensors—the more pressure, heat or sound exerted, the more charge there is—using a computer to measure the charge allows for measuring the degree of sensation “felt.” The ability to sense sound, the team notes, was a bit of a surprise—additional testing showed that the artificial skin was actually better at picking up sound than an iPhone microphone.
Post-Human
Posted in computing, entertainment, nanotechnology, robotics/AI
Post-Human is a scifi proof-of-concept short based on the bestselling series of novels by me, David Simpson. Amazingly, filmed over just three hours by a crew of three, the short depicts the opening of Post-Human, drawing back the curtain on the Post-Human world and letting viewers see the world and characters they’ve only been able to imagine previously. You’ll get a taste of a world where everyone is immortal, have onboard mental “mind’s eye” computers, nanotechnology can make your every dream a reality, and thanks to the magnetic targeted fusion implants every post-human has, everyone can fly (and yep, there’s flying in this short!) But there’s a dark side to this brave new world, including the fact that every post-human is monitored from the inside out, and the one artificial superintelligence running the show might be about to make its first big mistake. wink
The entire crew was only three people, including me, and I was behind the camera at all times. The talent is Madison Smith as James Keats, and Bridget Graham as his wife, Katherine. As a result of the expense of the spectacular location, the entire short had to be filmed in three hours, so we had to be lean and fast. What a rush! (Pun intended).
The concept was to try to replicate what a full-length feature would look and feel like by adapting the opening of Post-Human, right up to what would be the opening credits. Of course, as I was producing the movie myself, we only had a micro-budget, but after researching the indie films here on Vimeo over the last year, I became convinced that we could create a reasonable facsimile of what a big-budget production would look like and hopefully introduce this world to many more people who aren’t necessarily aficionados of scifi exclusively on the Kindle. While the series has been downloaded over a million times since 2012, I’ve always intended for it to be adapted for film, and I’m excited to have, in some small measure, finally succeeded.
Thanks to advances in artificial intelligence being made at Carnegie Mellon University, computers may soon be able to give timely warnings when video surveillance cameras detect unusual activity.
Researchers from the University of South Florida College of Engineering have proposed a new form of computing that uses circular nanomagnets to solve quadratic optimization problems orders of magnitude faster than that of a conventional computer.
A wide range of application domains can be potentially accelerated through this research such as finding patterns in social media, error-correcting codes to Big Data and biosciences.
In an article published in the current issue of Nature Nanotechnology, “Non Boolean computing with nanomagnets for computer vision applications,” authors Sanjukta Bhanja, D.K. Karunaratne, Ravi Panchumarthy, Srinath Rajaram, and Sudeep Sarkar discuss how their work harnessed the energy-minimization nature of nanomagnetic systems to solve the quadratic optimization problems that arise in computer vision applications, which are computationally expensive.