Oct. 21, 2015, was the day that Doc Brown and Marty McFly landed in the future in their DeLorean, with time travel made possible by a “flux capacitor.”
Graphene antennas have promised big improvements for tiny wireless technologies. A new study prepares “graphennas” for actual testing and development.
Electrons are so 20th century. In the 21st century, photonic devices, which use light to transport large amounts of information quickly, will enhance or even replace the electronic devices that are ubiquitous in our lives today. But there’s a step needed before optical connections can be integrated into telecommunications systems and computers: researchers need to make it easier to manipulate light at the nanoscale.
Researchers at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have done just that, designing the first on-chip metamaterial with a refractive index of zero, meaning that the phase of light can travel infinitely fast.
This new metamaterial was developed in the lab of Eric Mazur, the Balkanski Professor of Physics and Applied Physics and Area Dean for Applied Physics at SEAS, and is described in the journal Nature Photonics.
In the drive to miniaturize electronics, solenoids have become way too big, say Rice University scientists who discovered the essential component can be scaled down to nano-size with macro-scale performance.
The secret is in a spiral form of atom-thin graphene that, remarkably, can be found in nature, according to Rice theoretical physicist Boris Yakobson and his colleagues.
Usually, we determine the characteristics for materials we think might be possible to make, but this time were looking at a configuration that already exists, Yakobson said. These spirals, or screw dislocations, form naturally in graphite during its growth, even in common coal.
Continue reading “Graphene nano-coils are natural electromagnets” »
Researchers will take on a task that until now has been deemed impossible: creating strong interaction between light and magnetic fields and determining ways to control light with magnetism on the nanoscale.
I consider Ray Kurzweil a very close friend and a very smart person. Ray is a brilliant technologist, futurist, and a director of engineering at Google focused on AI and language processing. He has also made more correct (and documented) technology predictions about the future than anyone:
As reported, “of the 147 predictions that Kurzweil has made since the 1990s, fully 115 of them have turned out to be correct, and another 12 have turned out to be “essentially correct” (off by a year or two), giving his predictions a stunning 86% accuracy rate.”
Two weeks ago, Ray and I held an hour-long webinar with my Abundance 360 CEOs about predicting the future. During our session, there was one of Ray’s specific predictions that really blew my mind.
Aging is 100% genetic, the reason you go from infant to child to adult to old age.
We need to be scrutinizing Progeria, and the case of the girl who died at 20 and was stuck at the age of a toddler, for the key to the genes that will pause aging. While nanotechnology advances parallel with the cure for all diseases.
Once a bucket of genes linked to aging is removed, the lifespan of cells increases significantly, American scientists discovered during ten years of meticulous research, stressing that the results could be applied to humans.
Continue reading “Key to longevity? Blocking over 200 genes boosts lifespan” »
Computer scientist Ray Kurzweil, founder of the California-based Singularity University, claims that by 2030s humans could be using nanobots to connect our brains to the cloud.
The first all-optical permanent on-chip memory has been developed by scientists of Karlsruhe Institute of Technology (KIT) and the universities of Münster, Oxford, and Exeter. This is an important step on the way towards optical computers. Phase change materials that change their optical properties depending on the arrangement of the atoms allow for the storage of several bits in a single cell. The researchers present their development in the journal Nature Photonics (10.1038/nphoton.2015.182).
Light determines the future of information and communication technology: With optical elements, computers can work more rapidly and more efficiently. Optical fibers have long since been used for the transmission of data with light. But on a computer, data are still processed and stored electronically. Electronic exchange of data between processors and the memory limits the speed of modern computers. To overcome this so-called von Neumann bottleneck, it is not sufficient to optically connect memory and processor, as the optical signals have to be converted into electric signals again. Scientists, hence, look for methods to carry out calculations and data storage in a purely optical manner.
Scientists of KIT, the University of Münster, Oxford University, and Exeter University have now developed the first all-optical, non-volatile on-chip memory. “Optical bits can be written at frequencies of up to a gigahertz. This allows for extremely quick data storage by our all-photonic memory,” Professor Wolfram Pernice explains. Pernice headed a working group of the KIT Institute of Nanotechnology (INT) and recently moved to the University of Münster. “The memory is compatible not only with conventional optical fiber data transmission, but also with latest processors,” Professor Harish Bhaskaran of Oxford University adds.
Researchers from the Institute of General Physics of the Russian Academy of Sciences, the Institute of Bioorganic Chemistry of the Russian Academy of Sciences and MIPT have made an important step towards creating medical nanorobots. They discovered a way of enabling nano- and microparticles to produce logical calculations using a variety of biochemical reactions.
Details of their research project are given in the journal Nature Nanotechnology. It is the first experimental publication by an exclusively Russian team in one of the most cited scientific magazines in many years.
The paper draws on the idea of computing using biomolecules. In electronic circuits, for instance, logical connectives use current or voltage (if there is voltage, the result is 1, if there is none, it’s 0). In biochemical systems, the result can a given substance.
