The first camera for blind people

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2C3D is a camera that enables the blinds to see. The camera, is a development and design of a tactile camera concept for the vision impaired. The camera creates 3D photos and videos and has a 3D screen. The screen, inspired by “Pin Toy,” is built by numerous 3D pixels that shift depending on the photo to forms the 3D shot on the screen surface (giving the term “touch screen” a new and more literal interpretation).

The user can touch the screen while photographing and feel what the camera is seeing, in real time. When the users like what they feels, they can click and save the photo. The saved 3D file can be felt again later. The 2C3D performs as a camera for blind and as physical-digital photo album.

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India is in the middle of a much-needed start-up revolution

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India now has 38,756 officially-recognised start-ups –– with 27 unicorns, eight of which achieved this status in 2020 –– and is the third-largest tech start-up hub globally.

Entrepreneurs today are utilising the unprecedented advances from technology, operating on the demands of our demography, and inadvertently steering citizen welfare.

Five years since Prime Minister Narendra Modi launched the Start-Up India initiative, we are witnessing a golden chapter in the history of Indian entrepreneurship.

India now has 38,756 officially-recognised start-ups –– with 27 unicorns, eight of which achieved this status in 2020 –– and is the third-largest tech start-up hub globally.

According to Praxis Global Alliance, start-ups are growing at an average rate of 12–15% annually. Start-ups have raised $63 billion between 2016–20 in funding, $20 billion of which was raised in 2019 over 1,854 deals. Investments in start-ups are growing incrementally each year ($12 billion, $25.2 billion, $26.3 billion, and $34 billion invested in the last four years, respectively), with $16.7 billion till May 2020. Start-Up India kickstarted an entrepreneurship revolution. Several policy interventions were since announced, giving the entrepreneurial ecosystem a much-needed launchpad. The overhaul of the digital payments ecosystem is being led by State innovation, with Aadhaar, Jan Dhan, UPI, and India Stack. The Atal Innovation Mission, Niti Aayog, has built an ecosystem of 8,800 tinkering labs, 4,000 mentors and over two-and-a-half million students, and acted as a conduit for over 3,500 innovations while supporting 1,500 start-ups.

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Tesla opens world’s largest Supercharger station

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It is located between two of Tesla’s biggest markets.

Tesla has been quickly expanding its Supercharger network lately and it just reached another milestone by opening the world’s new largest Supercharger station.

Tesla’s fleet is growing at a fast pace and the automaker is adding more electric vehicles to the road than any other automaker.

At the same time, the company is trying to keep up its infrastructure, like service centers, mobile service fleet, and charging infrastructure in order to support its growing fleet.

Tesla’s charging infrastructure mainly consists of the Supercharger network, arguably one of the company’s greatest assets.

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Smart concrete could pave the way for high-tech , cost-effective roads

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 Every day, Americans travel on roads, bridges, and highways without considering the safety or reliability of these structures. Yet much of the transportation infrastructure in the US is outdated, deteriorating, and badly in need of repair.

Of the 614,387 bridges in the US, for example, 39 percent are older than their designed lifetimes, while nearly 10 percent are structurally deficient, meaning they could begin to break down faster or, worse, be vulnerable to catastrophic failure.

The cost to repair and improve nationwide transportation infrastructure ranges from nearly US$190 billion to almost $1 trillion. Repairing US infrastructure costs individual households, on average, about $3,400 every year. Traffic congestion alone is estimated to cost the average driver $1,400 in fuel and time spent commuting, a nationwide tally of more than $160 billion per year.

I am a professor in the Lyles School of Civil Engineering and the director of the Center for Intelligent Infrastructures at Purdue University. My co-author, Vishal Saravade, is part of my team at the Sustainable Materials and Renewable Technology (SMART) Lab. The SMART Lab researches and develops new technologies to make American infrastructure “intelligent,” safer, and more cost-effective. These new systems self-monitor the condition of roads and bridges quickly and accurately and can, sometimes, even repair themselves.

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New approach to circuit compression could deliver real-world quantum computers years ahead of schedule

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Compression of a circuit that has an initial volume of 882 using the proposed method. The reduced circuit has a volume of 420, less than half its original volume.

A major technical challenge for any practical, real-world quantum computer comes from the need for a large number of physical qubits to deal with errors that accumulate during computation. Such quantum error correction is resource-intensive and computationally time-consuming. But researchers have found an effective software method that enables significant compression of quantum circuits, relaxing the demands placed on hardware development.

Quantum computers may still be far from a commercial reality, but what is termed ‘quantum advantage’—the ability of a quantum computer to compute hundreds or thousands of times faster than a classical computer-has indeed been achieved on what are called Noisy Intermediate-Scale Quantum (NISQ) devices in early proof-of-principle experiments.

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Honda launching world’s first production car with ‘eyes-off’ self-driving tech by mid 2021

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Japanese officials approved Honda’s Automated Drive feature to be deployed on the upcoming Honda Legend.

Honda has received regulatory approval from the Japanese Ministry of Land, Infrastructure, Transport, and Tourism (MLIT) to begin selling vehicles equipped with Level 3 autonomous driving, the automaker announced on Wednesday.

In a press release, Honda highlighted that it would begin the sale of the Honda Legend equipped with its all-new “Traffic Jam Pilot” feature by the end of the company’s fiscal year (March 31, 2021). The feature is reportedly similar to GM’s Super Cruise and Ford’s Active Drive Assist in the sense that all road conditions must be perfect before Traffic Jam Pilot can be activated.

However, unlike the current domestic offerings where the driver is still technically in control of the vehicle, SAE J3016 defines Level 3 as a vehicle-operated functionality while engaged.

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Quantum sensors could let autonomous cars ‘see’ around corners

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High-precision metrology based on the peculiarities of the subatomic world

Quantum computers get all the hype, but quantum sensors could be equally transformative, enabling autonomous vehicles that can “see” around corners, underwater navigation systems, early-warning systems for volcanic activity and earthquakes, and portable scanners that monitor a person’s brain activity during daily life.

Quantum sensors reach extreme levels of precision by exploiting the quantum nature of matter—using the difference between, for example, electrons in different energy states as a base unit. Atomic clocks illustrate this principle. The world time standard is based on the fact that electrons in cesium 133 atoms complete a specific transition 9,192,631,770 times a second; this is the oscillation that other clocks are tuned against. Other quantum sensors use atomic transitions to detect minuscule changes in motion and tiny differences in gravitational, electric and magnetic fields.

There are other ways to build a quantum sensor, however. For example, researchers at the University of Birmingham in England are working to develop free-falling, supercooled atoms to detect tiny changes in local gravity. This kind of quantum gravimeter would be capable of detecting buried pipes, cables and other objects that today can be reliably found only by digging. Seafaring ships could use similar technology to detect underwater objects.

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AI plastering robot developed for construction sites

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Amid the ever-increasing use of artificial intelligence (AI) robots at construction sites, a new robot that can perform concrete plastering work on its own has been developed.

 Hyundai Engineering Co., a plant engineering affiliate of Hyundai Motor Group, announced on Wednesday that it had developed the nation’s first AI plastering robot that can flatten concrete floors by itself, adding that it has applied for related patents.

The AI plastering robot, which was developed in collaboration with Robo Block Systems, is a device that rotates two motors with four micro blades to flatten a floor infilled with concrete.

Compared to existing floor plastering machines, the newly-developed AI robot features a lighter design and a greater usability. By making use of an electric motor, the AI robot generates less noise compared to existing machines that use gasoline motors.

The patented ‘AI plastering robot floor flattening technology’ precisely measures the concrete-infilled floor space with a 3D scanner.

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Designing Artificial Microswimmers for Targeted Drug Delivery

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Many types of motile cells, such as the bacteria in our guts, need to propel themselves through confined spaces filled with viscous liquid. Mathematical models of this cell motion are guiding the design of artificial microswimmers for targeted drug delivery.

Many types of motile cells, such as the bacteria in our guts and spermatozoa in the female reproductive tracts, need to propel themselves through confined spaces filled with viscous liquid. In recent years, the motion of these ‘microswimmers’ has been mimicked in the design of self-propelled micro- and nano-scale machines for applications including targeted drug delivery. Optimising the design of these machines requires a detailed, mathematical understanding of microswimmers in these environments. A large, international group of physicists led by Abdallah Daddi-Moussa-Ider of Heinrich-Heine-Universität Düsseldorf, Germany has now generated mathematical models of microswimmers in clean and surfactant-covered viscous drops, showing that the surfactant significantly alters the swimmers’ behaviour. They have published their work in EPJ E.

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Hyper loop achieves 1,000 KM/H speed in Korea, days after Virgin passenger test

South Korea hopes to launch first hyperloop network in 2024

A hyperloop prototype in South Korea has reached speeds over 1,000km/h, just days after a rival system performed the first successful passenger test using the technology.

The Korean Railroad Research Institute (Korail) announced on Wednesday that a “hyper-tube train” travelling through a vacuum hit a top speed of 1,019km/h (633mph).

The test took place on a scale model and is the first of its kind in the world, according to Business Korea. The previous top speed, also set by Korail, was 714km/h.

South Korea is hoping to launch a hyperloop network by 2024, cutting the journey time between Seoul and Busan from three hours to 30 minutes.

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Interactive virtual reality emerges as a new tool for drug design against COVID-19

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Interactive virtual reality emerges as a new tool for drug design against COVID-19

Bristol scientists have demonstrated a new virtual reality [VR] technique which should help in developing drugs against the SARS-CoV-2 virus—and enable researchers to share models and collaborate in new ways. The innovative tool, created by University of Bristol researchers, and published in the Journal of Chemical Information and Modeling, will help scientists around the world identify anti-viral drug leads more rapidly.

A SARS-CoV-2 enzyme known as the main protease (Mpro) is a promising target in the search for new anti-viral treatments. Molecules that stop the main protease from working—called enzyme inhibitors—stop the virus reproducing, and so could be effective drugs. Researchers across the world are working to find such molecules. A key predictor of a drug’s effectiveness is how tightly it binds to its target; knowing how a drug fits into the protein helps researchers design changes to its structure to make it bind more tightly.

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What can AI learn from Human intelligence?

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At HAI’s fall conference, scholars discussed novel ways AI can learn from human intelligence – and vice versa.

Can we teach robots to generalize their learning? How can algorithms become more commonsensical? Can a child’s learning style influence AI?

Stanford Institute for Human-Centered Artificial Intelligence’s fall conference considered those and other questions to understand how to mutually improve and better understand artificial and human intelligence. The event featured the theme of “triangulating intelligence” among the fields of AI, neuroscience, and psychology to develop research and applications for large-scale impact.

HAI faculty associate directors Christopher Manning, a Stanford professor of machine learning, linguistics, and computer science, and Surya Ganguli, a Stanford associate professor of neurobiology, served as hosts and panel moderators for the conference, which was co-sponsored by Stanford’s Wu-Tsai Neurosciences Institute, Department of Psychology, and Symbolic Systems program.

Speakers described cutting-edge approaches—some established, some new—to create a two-way flow of insights between research on human and machine-based intelligence, for powerful application. Here are some of their key takeaways.

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