What a tough time for Cyberpunk 2077 to be launching. The newest graphics cards are unavailable unless you’re willing to overpay a scalper, and older GPUs are also hard to buy at a reasonable price because of the shortage of new ones.
The good news is that the officialCyberpunk 2077minimum specifications are surprisingly modest, especially if you’re OK with playing at 1080p. If you want to slide everything to high at that resolution, then you’re looking at a Core i7 4790 or AMD Ryzen 3 3200G, with a GeForce GTX 1060/1660 Super or Radeon RX 470, and 12GB of RAM. That’s really not too demanding, especially from the processor perspective.
Columbia team discovers 6-nanometer-long single-molecule circuit with enormous on/off ratio due to quantum interference; finding could enable faster, smaller, and more energy-efficient devices.
Researchers, led by Columbia Engineering Professor Latha Venkataraman, report today that they have discovered a new chemical design principle for exploiting destructive quantum interference. They used their approach to create a six-nanometer single-molecule switch where the on-state current is more than 10,000 times greater than the off-state current–the largest change in current achieved for a single-molecule circuit to date.
This new switch relies on a type of quantum interference that has not, up to now, been explored. The researchers used long molecules with a special central unit to enhance destructive quantum interference between different electronic energy levels. They demonstrated that their approach can be used to produce very stable and reproducible single-molecule switches at room temperature that can carry currents exceeding 0.1 microamps in the on-state. The length of the switch is similar to the size of the smallest computer chips currently on the market and its properties approach those of commercial switches. The study is published today in Nature Nanotechnology.
I’m fairly certain that ‘massive RTX 3090 heist’ was not on your 2020 Bingo card. Our friends at Tom’s Hardware originally reported that 40 cargo boxes containing RTX 3090s were stolen this morning from an MSI factory in China in what sounds like a GTA Online-esque heist.
The stolen goods (which are valued at around $336,500) consist of roughly over 200 hard-to-find RTX 3090 graphics cards. For context, the MSRP for the RTX 3090 is around $1,500 but due to the low stock and high demand, we’ve seen them being sold for well over $2,000 on various auction sites.
The most expedient way to produce the algorithms you need for a new class of computer that works like the brain, its engineers are discovering, is through a Darwinian exercise in natural selection.
Ineurals — advanced neuro-technologies for rapid learning and skill acquisition.
The 711th Human Performance Wing, under the U.S. Air Force Research Laboratory leads the development, integration, and delivery of Airman-centric research, education, and consultation enabling the U.S. Air Force to achieve responsive and effective global vigilance, global reach, and global power now and in the future. It’s comprised of the United States Air Force School of Aerospace Medicine and the Airman Systems Directorate, whose science and technology competencies include Training, Adaptive Warfighter Interfaces, Bioeffects, Bioengineering, and Aerospace and Operational Medicine.
The Individualized Neural Learning System, or iNeuraLS, is a new augmented learning platform that will enable rapid learning by closed-loop modulation of cognitive states during skill acquisition. Essentially, the AFRL team seeks to develop a capability that will give Airmen the ability to rapidly acquire knowledge and skills on the fly through direct brain interfaces with the help of neurotechnologies.
And we have not 1, but 2 fascinating guests on the show with us today:
Dr. Nathaniel Bridges serves as the Neural Interfaces Team Lead within the Air Force Research Laboratory’s Cognitive Neuroscience Section. In this role, he and his team seek to find and enable ways to link the human brain/nervous system with technology in a manner that will benefit the Air Force. This in part relies on testing and evaluating current and emerging Brain Machine/Computer Interface technologies for the Air Force and investigating the impact of various neuromodulation technologies on cognitive performance. Dr. Bridges has his PhD. in Biomedical Engineering, from Drexel University, in Philadelphia, PA USA.
Exploring the frontiers of neuromodulation, neurostimulation, and neural interfaces.
Neuromodulation is defined as “the alteration of nerve activity through targeted delivery of a stimulus, such as electrical stimulation or chemical agents, to specific neurological sites in the body”. It is carried out to normalize – or modulate – nervous tissue function.
Neuromodulation is an evolving therapy that can involve a range of electromagnetic stimuli such as a magnetic field, an electric current, or a drug instilled directly in the sub-dural space (i.e. intra-thecal drug delivery).
Emerging applications involve targeted introduction of genes or gene regulators and light (optogenetics), but most clinical experience has been with electrical stimulation.
Existing and emerging neuromodulation treatments also include application in medication-resistant epilepsy, chronic head pain conditions, and functional therapy ranging from bladder and bowel or respiratory control, to improvement of sensory deficits, such as hearing and vision.
European researchers have unveiled a memory storage device that writes data 1,000 times faster than today’s hard drives while producing little heat.
Andrzej Stupakiewicz from the University of Bialystok in Poland and colleagues used precisely tuned laser pulses to store information on garnet crystal at blistering speeds with very little heat.
Scientists discovered a strategy for layering dissimilar crystals with atomic precision to control the size of resulting magnetic quasi-particles called skyrmions. This approach could advance high-density data storage and quantum magnets for quantum information science.
In typical ferromagnets, magnetic spins align up or down. Yet in skyrmions, they twist and swirl, forming unique shapes like petite porcupines or tiny tornadoes.
The tiny intertwined magnetic structures could innovate high-density data storage, for which size does matter and must be small. The Oak Ridge National Laboratory-led project produced skyrmions as small as 10 nanometers – 10,000 times thinner than a human hair.
