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Scientists from the NTU Singapore and the Korea Institute of Machinery & Materials (KIMM) have developed a technique to create a highly uniform and scalable semiconductor wafer, paving the way to higher chip yield and more cost-efficient semiconductors.

Left: Image of a six-inch silicon wafer with printed metal layers and its top-view scanning electron microscope image. Right: Image of the six-inch silicon wafer with nanowires and its cross-sectional scanning electron microscope image. (Image: NTU Singpore)

Semiconductor chips commonly found in smart phones and computers are difficult and complex to make, requiring highly advanced machines and special environments to manufacture.

Osso VR, the VR surgical training platform, today announced it’s closed a $66 million Series C financing round, something the company says will be used to broaden its VR surgical offering and hire more expert talent.

The Series C round was led by Oak HC/FT, which includes participation from Signalfire, GSR Ventures, Tiger Global Management and Kaiser Permanente Ventures.

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The microscopic components that make up computer chips must be made at staggering scales. With billions of transistors in a single processor, each made of multiple materials carefully arranged in patterns as thin as a strand of DNA, their manufacturing tools must also operate at a molecular level.

Typically, these tools involve using stencils to selectively pattern or remove materials with high fidelity, layer after layer, to form nanoscale electronic devices. But as chips must fit more and more components to keep up with the digital world’s growing computational demands, these nanopatterning stencils must also become smaller and more precise.

Now, a team of Penn Engineers has demonstrated how a new class of polymers could do just that. In a new study, the researchers demonstrated how “multiblock” copolymers can produce exceptionally ordered patterns in thin films, achieving spacings smaller than three nanometers.

Energy storage in lithium-sulfur batteries is potentially higher than in lithium-ion batteries but they are hampered by a short life. Researchers from Uppsala University in Sweden have now identified the main bottlenecks in performance.

Lithium-sulfur batteries are high on the wish-list for future batteries as they are made from cheaper and more environmentally friendly materials than lithium-ion batteries. They also have higher energy storage capacity and work well at much lower temperatures. However, they suffer from short lifetimes and energy loss. An article just published in the journal Chem by a research group from Uppsala University has now identified the processes that are limiting the performance of the sulfur electrodes that in turn reduces the current that can be delivered. Various different materials are formed during the discharge/charge cycles and these cause various problems. Often a localized shortage of lithium causes a bottleneck.

“Learning about problems allows us to develop new strategies and materials to improve battery performance. Identifying the real bottlenecks is needed to take the next steps. This is big research challenge in a system as complex as lithium-sulfur,” says Daniel Brandell, Professor of Materials Chemistry at Uppsala University who works at the Ångström Advanced Battery Centre.

In recent decades, machine learning and deep learning algorithms have become increasingly advanced, so much so that they are now being introduced in a variety of real-world settings. In recent years, some computer scientists and electronics engineers have been exploring the development of an alternative type of artificial intelligence (AI) tools, known as diffractive optical neural networks.

Diffractive optical neural networks are deep neural networks based on diffractive optical technology (i.e., lenses or other components that can alter the phase of light propagating through them). While these networks have been found to achieve ultra-fast computing speeds and high energy efficiencies, typically they are very difficult to program and adapt to different use cases.

Researchers at Southeast University, Peking University and Pazhou Laboratory in China have recently developed a diffractive deep neural network that can be easily programmed to complete different tasks. Their network, introduced in a paper published in Nature Electronics, is based on a flexible and multi-layer metasurface array.

Every industry will be affected by quantum computing. They will alter the way business is done and the security systems in place which protect data, how we battle illnesses and create new materials, as well as how we tackle health and climate challenges.

As the race to build the first commercially functional quantum computer heats up, here we discuss a handful of the ways quantum computing will alter our world.

A UK consortium wants to build the world’s largest and longest “drone superhighway,” connecting towns and cities across the United Kingdom.

Also read: 14 amazing drone photos from DJI SkyPixel contest winners

Continue reading “World’s longest 165-mile ‘drone superhighway’ proposed in the UK” »

Star’s mysterious orbit around black hole proves einstein was right all along—again.

The star, known as S2, has a 16-year elliptical orbit. It came near 20 billion kilometers of our black hole, Sagittarius A*, last year. If Isaac Newton’s traditional definition of gravity is correct, S2 should then continue on its previous orbit’s course through space. But it didn’t work.

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When you’re building wearables and glowables, sometimes a flashy rainbow animation is all you need. [Geeky Faye] likes to go a little further, however, and built this impressive necklace that serves to inform on the local air quality.

The necklace consists of a series of Neopixel LED strips, housed within a tidy 3D printed housing made with flexible filament. A dovetail joint makes putting on and removing the necklace a cinch. A TinyPico V2, based on the ESP32, runs the show, as it’s very small and thus perfect for the wearable application. A USB power bank provides power to the microcontroller and LEDs.

Continue reading “Breathe Easy With This LED Air Sensor Necklace” »