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Archive for the ‘transportation’ category: Page 422

May 21, 2019

Is Liquid Silicon the Next Generation of Computer Hardware?

Posted by in categories: computing, transportation

The idea of “liquid silicon” conjures images from a Terminator film. Fittingly, it is a nascent ’80s computing concept brought to life with modern fabrication techniques, with the potential to alter the course of the future for computer hardware.

“Liquid Si,” with its delicate layers of mono-crystalline silicon and stacked transistors, have real-world implications in the post-Moore semiconductor landscape.

Building unified computer hardware that incorporates system memory, I/O logic, and disk storage into the same module represents a long-standing goal for microchip architects, and attainment is closer now than ever. Using a process called monolithic 3D integration, modern fabrication machines can execute chip designs with silicon and semiconductor circuitry layered on the bottom, solid-state memory arrays on top, and a dense metal-to-metal bus sandwiched in between.

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May 20, 2019

Researchers develop new lens manufacturing technique

Posted by in categories: engineering, physics, robotics/AI, transportation

Researchers from Washington State University and Ohio State University have developed a low-cost, easy way to make custom lenses that could help manufacturers avoid the expensive molds required for optical manufacturing.

Led by Lei Li, assistant professor in the School of Mechanical and Materials Engineering, and graduate student, Mojtaba Falahati, the researchers developed a liquid mold from droplets that they can manipulate with magnets to create lenses in a variety of shapes and sizes. Their work is featured on the cover of the journal, Applied Physics Letters.

High-quality lenses are increasingly used in everything from cameras, to self-driving cars, and virtually all robotics, but the traditional molding and casting processes used in their manufacturing require sophisticated and expensive metal molds. So, manufacturers are mostly limited to mass producing one kind of lens.

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May 20, 2019

Startup Hermeus Wants to Build a Hypersonic Jet That Flies at 5 Times the Speed of Sound

Posted by in category: transportation

A U.S. venture-capital firm recently led a round of seed investment for Hermeus Corp., a new startup developing a hypersonic aircraft.

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May 20, 2019

Self-driving electric wheelchairs to be tested at Narita Airport

Posted by in categories: robotics/AI, transportation

In a bid to help those with limited mobility get to the gate, Tokyo Narita International Airport is set to welcome a number of self-driving wheelchairs to its floors. With the ability to navigate the airport all on their own, the new wheelchairs are hoped to streamline foot traffic in one of Japan’s busiest airports and form part of a wider plan to boost mobility options at such facilities.

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May 20, 2019

How Uber And Lyft Could Transform Healthcare

Posted by in categories: life extension, transportation

Where #Uber, Facebook, #Apple, #Microsoft, #Google, And #Amazon Are Investing In longevity and health span.


As Uber and Lyft grow their massive footprints, they are beginning to look towards the healthcare industry. Here’s what they’re doing in healthcare already and what they might do next.

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May 20, 2019

Driverless cars working together can speed up traffic

Posted by in categories: robotics/AI, transportation

A fleet of driverless cars working together to keep traffic moving smoothly can improve overall traffic flow by at least 35 percent, researchers have shown.

The researchers, from the University of Cambridge, programmed a small fleet of miniature to drive on a multi-lane track and observed how the changed when one of the cars stopped.

When the cars were not driving cooperatively, any cars behind the stopped car had to stop or slow down and wait for a gap in the traffic, as would typically happen on a real road. A queue quickly formed behind the stopped car and overall traffic flow was slowed.

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May 18, 2019

Hyperdimensional computing theory could lead to AI with memories and reflexes

Posted by in categories: robotics/AI, transportation

A team of scientists from the University of Maryland recently came up with a take on the hyperdimensional computing theory that could give robots memories and reflexes. This could break the stalemate we seem to be at with autonomous vehicles and other real-world robots, and lead to more human-like AI models.

The solution

The Maryland team came up with a theoretical method by which hyperdimensional computing – a hypervector-based alternative to computations based on Booleans and numbers – could replace current deep learning methods for processing sensory information.

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May 18, 2019

Hundreds of Americans Are Naming Babies “Elon” and “Tesla”

Posted by in categories: sustainability, transportation

Car Culture

Other automotive name choices include “Ford,” “Bentley,” and “Audi,” as Mashable reports, accounting for thousands of innocent newborns.

Whether the decision will help the car company overcome hurdles like hitting the lowest stock valuation since 2017 or dealing with multiple reports of Teslas randomly catching fire is unknown.

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May 18, 2019

Tesla driver killed after smashing into truck had just enabled Autopilot – US crash watchdog

Posted by in categories: robotics/AI, transportation

A.I. is yet to prove the safety of self-driving cars.


“Shortly following the accident, we informed the National Highway Traffic Safety Administration and the National Transportation Safety Board that the vehicle’s logs showed that Autopilot was first engaged by the driver just 10 seconds prior to the accident, and then the driver immediately removed his hands from the wheel,” a Tesla spokesperson told The Register in an emailed statement. “Autopilot had not been used at any other time during that drive. We are deeply saddened by this accident and our thoughts are with everyone affected by this tragedy.”

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May 17, 2019

A social perception scheme for behavior planning of autonomous cars

Posted by in categories: robotics/AI, transportation

To navigate dynamic environments, autonomous vehicles (AVs) should be able to process all information available to them and use it to generate effective driving strategies. Researchers at the University of California, Berkeley, have recently proposed a social perception scheme for planning the behavior of autonomous cars, which could help to develop AVs that are better equipped to deal with uncertainty in their surrounding environment.

“My research has focused on how to design human-like driving behaviors for autonomous cars,” Liting Sun, one of the researchers who carried out the study, told TechXplore. “Our goal is to build AVs that do not only understand , but also perform in a similar way in multiple aspects, including , reasoning and action.”

Sun and her colleagues observed that human drivers tend to treat other vehicles as dynamic obstacles, often inferring additional information from their behavior on the road. This information is generally occluded environment information or physically undetectable social information.

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