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Tesla is making the Model 3 faster with a software update

To make a regular car go faster on the track, you can add go-fast components like a turbocharger or better fuel, or improve handling components like brakes and tires. Carmakers can also make a dizzying amount of software tweaks to everything from the stability and traction control systems to throttle mapping and how much fuel gets into the engine.

But with an electric car, the software is the star of the show. Code controls everything. That’s why Tesla can introduce Track Mode to the Model 3 with a software download, unlocking new features designed to get the electric sports sedan around a track faster than before.

On something like the BMW M5, putting the car in Sport Mode adjusts a dizzying array of settings for throttle response, transmission, chassis, steering, stability control, and whether the car operates in all- or rear-wheel drive.

Plans for first Chinese solar power station in space revealed

Electric cars could be charged at any time and any place.

It could reliably supply energy 99 per cent of the time, at six-times the intensity of solar farms on earth, he said.

Chinese scientists first plan to build and launch small to medium-sized solar power stations to be launched into the stratosphere to generate electricity, between 2021 and 2025.

Nissan unveils incredible solar-powered mobile workshop for woodworkers

Over the years, we’ve seen thousands of unique van conversions, but Nissan has taken the van-loving world by storm with its new NV300 concept van — a mobile workshop for woodworking professionals. The amazing design, which was a collaboration between Nissan and UK-based firm Studio Hardie, is fully-functioning mobile woodworking studio that can be taken off grid, letting wood-loving artisans find inspiration anywhere they choose. What’s more, the van runs on solar power and its tools are powered by an emissions-free, weatherproof power pack made out of recycled electric car batteries.

‘Air traffic control’ for driverless cars could speed up deployment

Combining human and artificial intelligence in autonomous vehicles could push driverless cars more quickly toward wide-scale adoption, University of Michigan researchers say.

That’s the goal of a new project that relies on a technique called instantaneous crowdsourcing to provide a cost-effective, real-time remote backup for onboard autonomous systems without the need for a human to be physically in the driver’s seat. The research is taking place at the U-M Transportation Research Institute (UMTRI).

The need for human safety drivers in vehicles like Waymo’s recently introduced autonomous taxis undermines their cost advantage compared to traditional ride sharing services, the researchers say. It also keeps the era of cars as autonomous rolling living rooms tantalizingly out of reach. And most researchers agree that machines won’t be able to completely take over driving duties for years or even decades.

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