Lifeboat Foundation

Nvidia shared more performance benchmarks, but as with all vendor-provided performance data, you should take these numbers with a grain of salt. These benchmarks also come with the added caveat that they are conducted pre-silicon, meaning they’re emulated projections that haven’t been tested with actual silicon yet and are “subject to change.” As such, sprinkle some extra salt.

Nvidia’s new benchmark here is the score of 370 with a single Grace CPU in the SpecIntRate 2017 benchmark. This places the chips right at the range we would expect — Nvidia has already shared a multi-CPU benchmark, claiming a score of 740 for two Grace CPUs in the SpecIntRate2017 benchmark. Obviously, this suggests a linear scaling improvement with two chips.

AMD’s current-gen EPYC Milan chips, the current performance leader in the data center, have posted SPEC results ranging from 382 to 424 apiece, meaning the highest-end x86 chips will still hold the lead. However, Nvidia’s solution will have many other advantages, such as power efficiency and a more GPU-friendly design.

Newly discovered magnetic interactions in the Kagome layered topological magnet TbMn₆Sn₆ could be the key to customizing how electrons flow through these materials. Scientists from the U.S. Department of Energy’s Ames National Laboratory and Oak Ridge National Laboratory conducted an in-depth investigation of TbMn₆Sn₆ to better understand the material and its magnetic characteristics. These results could impact future technology advancements in fields such as quantum computing, magnetic storage media, and high-precision sensors.

Kagomes are a type of material whose structure is named after a traditional Japanese basket weaving technique. The weave produces a pattern of hexagons surrounded by triangles and vice-versa. The arrangement of the atoms in Kagome metals reproduces the weaving pattern. This characteristic causes electrons within the material to behave in unique ways.

Solid materials have electronic properties controlled by the characteristics of their electronic band structure. The band structure is strongly dependent on the geometry of the atomic lattice, and sometimes bands may display special shapes such as cones. These special shapes, called topological features, are responsible for the unique ways electrons behave in these materials. The Kagome structure in particular leads to complex and potentially tunable features in the electronic bands.

Computer chip designers, materials scientists, biologists and other scientists now have an unprecedented level of access to the world of nanoscale materials thanks to 3D visualization software that connects directly to an electron microscope, enabling researchers to see and manipulate 3D visualizations of nanomaterials in real time.

Developed by a University of Michigan-led team of engineers and software developers, the capabilities are included in a new beta version of tomviz, an open-source 3D data visualization tool that’s already used by tens of thousands of researchers. The new version reinvents the visualization process, making it possible to go from microscope samples to 3D visualizations in minutes instead of days.

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A paradigm shift away from the 3D mathematical description developed by Schrödinger and others to describe how we see color could result in more vibrant computer displays, TVs, textiles, printed materials, and more.

New research corrects a significant error in the 3D mathematical space developed by the Nobel Prize-winning physicist Erwin Schrödinger and others to describe how your eye distinguishes one color from another. This incorrect model has been used by scientists and industry for more than 100 years. The study has the potential to boost scientific data visualizations, improve televisions, and recalibrate the textile and paint industries.

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Faster computers, tap-proof communication, better car sensors—quantum technologies have the potential to revolutionize our lives just as the invention of computers or the internet once did. Experts worldwide are trying to implement findings from basic research into quantum technologies. To this end, they often require individual particles, such as photons—the elementary particles of light—with tailored properties.

However, obtaining individual particles is complicated and requires intricate methods. In a study recently published in the journal Science, researchers now present a new method that simultaneously generates two individual particles in form of a pair.

“Brain computer interfaces” — devices that allow you to operate a computer with your mind — are already in human trials. And they’re about to be a really big business.

Smartphones, tablets, computer screens — all digital media has detrimental effects on your brain. That is a position that Professor Manfred Spitzer, a neuroscientist and author of several books, defends. You might like what you’ll hear, you might not, but don’t say that you haven’t been warned. Especially if you have kids running around with smartphones all day long.

Created by Rimantas Vančys.
Video footage and graphics: Envato Elements.
Additional material: NASA.
Music: Envato Elements.

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Scientists have developed small molecules that protect the “quantumness” of qubits, an innovative step that could help to scale up processing power.

A Brain-Computer Interface (BCI) is a promising technology that has received increased attention in recent years. BCIs create a direct link from your brain to a computer. This technology has applications to many industries and sectors of our life. BCIs redefine how we approach medical treatment and communication for individuals with various conditions or injuries. BCIs also have applications in entertainment, specifically video games and VR. From being able to control a prosthetic limb with your mind, to being able to play a video game with your mind—the potential of BCIs are endless.

What are your thoughts on Brain-Computer Interfaces? Let us know!
Any disruptive technologies you would like us to cover? Dm us on our Instagram (@toyvirtualstructures).
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