New research shows we don’t need new roads to reduce traffic in metropolitan regions–just creative tolls. The results above show how traffic speeds would improve on the highway network around Dallas and Fort Worth, TX, under a scheme of “credit-based congestion pricing,” according to Kara Kockelman, a civil engineer at the University of Texas at Austin. Vehicles would be monitored with radio frequency identification (RFID) or GPS technologies that would track where and when they were driven. Drivers would get a fixed monthly allotment of credits, which they’d “spend” on tolls that would vary according to mileage and location. Tolls would be as high as 20 cents per mile, for bottleneck stretches at peak times, but drivers would pay real money only if they’d used up their credits. The benefit: traffic up to 25 miles per hour faster during rush hour. At least, that’s what Kockelman’s computer model concludes after analyzing such factors as trip frequency and the value drivers place on saving time. The idea is under study; implementation would take years and would have to address privacy concerns.
Meta has built a massive new language AI—and it’s giving it away for free
Facebook’s parent company is inviting researchers to pore over and pick apart the flaws in its version of GPT-3
The gene-edited pig heart given to a dying patient was infected with a pig virus
The first transplant of a genetically-modified pig heart into a human may have ended prematurely because of a well-known—and avoidable—risk.
Saudi Arabia plans to spend $1 billion a year discovering treatments to slow aging
The oil kingdom fears that its population is aging at an accelerated rate and hopes to test drugs to reverse the problem. First up might be the diabetes drug metformin.
Yann LeCun has a bold new vision for the future of AI
One of the godfathers of deep learning pulls together old ideas to sketch out a fresh path for AI, but raises as many questions as he answers.
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