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Category: transportation – Page 73

Skoltech researchers and their colleagues from MIPT and China’s Center for High Pressure Science and Technology Advanced Research have computationally explored the stability of the bizarre compounds of hydrogen, lanthanum, and magnesium that exist at very high pressures. In addition to matching the various three-element combinations to the conditions at which they are stable, the team discovered five completely new compounds of hydrogen and either magnesium or lanthanum only.

Published in Materials Today Physics, the study is part of the ongoing search for room-temperature superconductors, the discovery of which would have enormous consequences for power engineering, transportation, computers and more.

“In the previously unexplored system of hydrogen, lanthanum, and magnesium, we find LaMg3H28 to be the ‘warmest’ superconductor. It loses below −109°C, at about 2 million atmospheres—not a record, but not bad at all either,” the study’s principal investigator, Professor Artem R. Oganov of Skoltech, commented.

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Airships are essentially rigid, steerable balloons that fly because they’re filled with a lighter-than-air gas. The Hindenburg is probably the most well-known example of an — and also the most-well known example of why filling them with flammable hydrogen is dangerous.

Brin’s plan is to fill hiss with non-flammable helium and then use them to transport tons of cargo hundreds of miles efficiently and cleanly. He also hopes to use them for humanitarian missions, delivering supplies and personnel to places that are hard to access by road.

The Pathfinder-1: In 2015, Brin founded a startup, LTA Research, to help him reach this goal, and the team came up with the Pathfinder-1, a 400-foot-long prototype with electric motors, a carbon-fiber skeleton, and an ultra-light synthetic cover.

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BMW wants humanoid robots to build its cars, evidenced by a partnership with a robotics startup that it signed today.

BMW has partnered with Figure in its first partnership since the company was founded two years ago. The German automaker plans to launch a small, controlled launch of humanoid robots in its production facilities, potentially expanding to more units if performance targets are met.

The humanoid robots will initially be launched out of the BMW facility in Spartanburg, South Carolina, which employs 11,000 people.

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Using AI and cloud computing, Microsoft was able to identify promising new battery materials for the Department of Energy (DoE) — in a fraction of the time it would usually take.

The challenge: Batteries are an essential part of the clean energy future. We need them to power electric vehicles and to store energy from solar and wind.

Currently, lithium-ion batteries are our best option for both of these uses, but they aren’t ideal. Because lithium is relatively scarce, it’s also expensive, and the metal is often unethically mined using child labor and environmentally destructive processes.

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“I think this material could have a big impact because it works really well,” said Dr. Mircea Dincă. “It is already competitive with incumbent technologies, and it can save a lot of the cost and pain and environmental issues related to mining the metals that currently go into batteries.”

Electric vehicles (EVs) have become a household name in the last few years with several companies fighting to compete in the everchanging EV landscape as EV technology continues to improve in cost, efficiency, and the materials used to manufacture the batteries responsible for sustaining this clean energy revolution. While EV batteries have traditionally used cobalt for their battery needs, a recent study published in ACS Central Science discusses how organic cathode materials could be used as a substitute for cobalt for lithium-ion batteries while potentially offering similar levels of storage capacity and charging capabilities, as cobalt has shown to be financially, environmentally, and socially expensive.

“Cobalt batteries can store a lot of energy, and they have all of features that people care about in terms of performance, but they have the issue of not being widely available, and the cost fluctuates broadly with commodity prices,” said Dr. Mircea Dincă, who is a W.M. Keck Professor of Energy at MIT and a co-author on the study.

For their study, the researchers constructed a layered organic cathode comprised of cellulose, rubber, and other Earth-based elements. The team then subjected their organic cathode to a variety of tests, including energy storage, delivery, and charging capabilities. In the end, they found their cathode’s capabilities exceed most cobalt-based cathodes, including a charge-discharge time of 6 minutes. Additionally, while battery cathodes are known for significant wear and tear due to cracking from the flow of lithium ions, the researchers noted that the rubber and cellulose materials helped extend the battery cathode’s lifetime.

Continue reading “Revolutionizing Electric Car Batteries: MIT’s Cost-Efficient, Cobalt-Free Solution” | >

An intrepid DIY Tesla Model Y owner has done what many dream of doing — directly powered his Tesla with solar panels. That’s right, not happy with simply powering his car with house rooftop solar panels, he’s doing it with a solar panel array on the roof of his crossover.

This Tesla Model Y Performance owner created a folding solar array capable of charging 20-60mi per day via a 2000W-4000W system.

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Tesla late on Thursday started customer deliveries of its semi-trailer truck, which is dubbed the Semi.

The first customer was Pepsi, which placed an order for 100 of the Class 8 trucks following the debut in 2017. Budweiser and Walmart are among the other customers for the fully electric semi truck which features a central driving position, just like the McLaren F1 supercar.

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To back up the decision, Waymo pointed to its safety record and history building and operating self-driving trucks on highways. (The company shuttered its self-driving truck project last year to focus on taxis.) Including highways should also decrease route times for riders—especially from the airport—with some rides taking half the time.

Although highways are simpler to navigate than city streets—where cars contend with twists, turns, signs, stoplights, pedestrians, and pets—the stakes are higher. A crash at 10 or 20 miles per hour is less likely to cause major injury than one at highway speeds. And while it’s relatively straightforward (if less than ideal) for a malfunctioning robotaxi to stop or pull to the side of the road and await human help in the city, such tactics won’t do on the highway, where it’s dangerous for cars to suddenly slow or stop.

But learning to drive on the highway will be a necessary step if robotaxis are to become an appealing, widely used product. After years of testing, the question of whether companies can build a sustainable business out of all that investment is increasingly pressing.

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How hard would it be to train an AI model to be secretly evil? As it turns out, according to AI researchers, not very — and attempting to reroute a bad apple AI’s more sinister proclivities might backfire in the long run.

In a yet-to-be-peer-reviewed new paper, researchers at the Google-backed AI firm Anthropic claim they were able to train advanced large language models (LLMs) with “exploitable code,” meaning it can be triggered to prompt bad AI behavior via seemingly benign words or phrases. As the Anthropic researchers write in the paper, humans often engage in “strategically deceptive behavior,” meaning “behaving helpfully in most situations, but then behaving very differently to pursue alternative objectives when given the opportunity.” If an AI system were trained to do the same, the scientists wondered, could they “detect it and remove it using current state-of-the-art safety training techniques?”

Unfortunately, as it stands, the answer to that latter question appears to be a resounding “no.” The Anthropic scientists found that once a model is trained with exploitable code, it’s exceedingly difficult — if not impossible — to train a machine out of its duplicitous tendencies. And what’s worse, according to the paper, attempts to reign in and reconfigure a deceptive model may well reinforce its bad behavior, as a model might just learn how to better hide its transgressions.

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