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 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).
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.
Allow me to introduce you to someone who has the potential to be very important in the future of Bitcoin. His name is Balaji Srinivasan, and he is the chairman and co-founder of 21 Inc. What is 21 Inc? 21 Inc. is the Bitcoin startup that secured the most venture capital of any Bitcoin company in history, at $116 million. What do they need $116 million in venture capital for? They are investing in “future proprietary products designed to drive mainstream adoption of Bitcoin.” With that in mind, the research of 21 Inc. has highlighted some interesting Bitcoin factoids. One Srinivasan released at the second annual Bitcoin Job Fair held last weekend in Sunnyvale, California regarding how big Bitcoin has become in the computing world.
Honestly, I looked online to find out what a petahash rate and a gigahash rate was, and that is one long rabbit hole, so I’ll leave the technical ramble to techies like Mr. Srinivasan. He makes the comparison to Google based on the fair assumption that they are using 1e7 servers, for 1e7 H/s per Xeon, and ~10 Xeons/server = 1 PH/s. One petahash equals 1,000,000 gigahash or 1000 terahashes. Bitcoin reached 1 PH/s of computing power/speed on September 15th, 2013. It is now normally working at over 350 PH/s, or over 350,000,000 GH/s.
” All of Google today would represent less than 1% of all of mining (Bitcoin operations worldwide). The sheer degree of what is happening in (Bitcoin) mining is not being appreciated by the press,” said Balaji Srinivasan at the Bitcoin Job Fair. “If we assume there are 10 million Google servers, and each of these servers is running, you can multiply that through and get one petahash. If they turned off all of their data centers and pointed them at Bitcoin (mining network), they would be less than 1% of the network.”
Inspired by mammals’ eyes, University of Wisconsin-Madison electrical engineers have created the fastest, most responsive flexible silicon phototransistor ever made.
Australian scientists have designed a 3D silicon chip architecture based on single atom quantum bits, which is compatible with atomic-scale fabrication techniques — providing a blueprint to build a large-scale quantum computer.
