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DARPA has selected seven university and industry teams for the first phase of the Optimization with Noisy Intermediate-Scale Quantum devices (ONISQ) program. Phase 1 of the program began in March and will last 18 months.

ONISQ aims to exploit quantum information processing before universal fault-tolerant quantum computers are realized, which isn’t expected for many years. The program is pursuing a hybrid concept that combines intermediate-sized quantum devices (hundreds to thousands of quantum bits, or qubits) with classical computing systems to solve a particularly challenging set of problems known as combinatorial optimization.

ONISQ seeks to demonstrate a quantitative advantage of quantum information processing by leapfrogging the performance of classical-only systems in solving optimization challenges. If successful, ONISQ could be applied to optimization problems of interest to defense and commercial industry, such as global logistics management, electronics manufacturing, and protein-folding.

NVIDIA announced the Jetson Nano Developer Kit at the 2019 NVIDIA GPU Technology Conference (GTC), a $99 computer available now for embedded designers, researchers, and DIY makers, delivering the power of modern AI in a compact, easy-to-use platform with full software programmability. Jetson Nano delivers 472 GFLOPS of compute performance with a quad-core 64-bit ARM CPU and a 128-core integrated NVIDIA GPU. It also includes 4GB LPDDR4 memory in an efficient, low-power package with 5W/10W power modes and 5V DC input, as shown in figure 1.

Believe it or not, 3D printed cars are a reality.

Although you won’t be able to find 3D printed cars at your local car dealership just yet, there are some very interesting concepts out there that do a great job of presenting the possibilities of 3D printing in the automotive industry. They even represent the first steps towards mass-produced 3D printed cars.

Here are 10 of the coolest cars that are 3D printed or contain 3D printed parts. Just keep in mind that most of them aren’t available for purchase.

Results from physicists in Bochum have challenged the Standard Model of Cosmology. Infrared data, which have recently been included in the analysis, could be decisive.

Bochum cosmologists headed by Professor Hendrik Hildebrandt have gained new insights into the density and structure of matter in the Universe. Several years ago, Hildebrandt had already been involved in a research consortium that had pointed out discrepancies in the data between different groups. The values determined for matter density and structure differed depending on the measurement method. A new analysis, which included additional infrared data, made the differences stand out even more. They could indicate that this is the flaw in the Standard Model of Cosmology.

Rubin, the science magazine of Ruhr-Universität Bochum, has published a report on Hendrik Hildebrandt’s research. The latest analysis of the research consortium, called Kilo-Degree Survey, was published in the journal Astronomy and Astrophysics in January 2020.

Summary: New neurostimulation technology works safely and non-invasively to modify brain activity. The findings may provide some foundational knowledge for the development of future technologies that could expedite cognitive processes.

Source: US Army Research Laboratory

For Army scientists, the goal of neuroscience research is pursuing the inner workings of the human brain to advance scientific understanding and improve Soldier performance.