You’ll never have to drive to work again…
Sure, it doesn’t sound like reality. But it’s a lot closer to happening than you might think.
We’re in the early stages of an unstoppable trend… the rise of self-driving cars.
Today, we’ll walk you through some of the latest advancements in self-driving technology.
We’ll talk about when this trend could really take off. And we’ll give you the name of a company playing a huge role in making it all come together…
You might not believe it, but self-driving cars work a lot like video games…
Self-driving cars originally needed to “memorize” both maps and how to use a car’s controls – how to accelerate, steer, and brake. But it would have taken programmers a long time – some estimates say up to 100 years – to teach a car every scenario.
Nobody was going to wait a century for this technology… Thankfully, one company has developed a breakthrough way for these self-driving cars to quickly learn on their own.
This company is best known for making graphics cards – a special kind of silicon chip that works alongside a central processing unit chip with the goal of creating images.
When you’re playing a video game, graphics cards take artificial objects and paint them into a visual scene in real time. This company figured out that you can probably also do this in the real world… with real cars.
This is the springboard for all the self-driving cars you’ll see in the coming years.
In a self-driving car, this company’s chips take real objects and paint them into a “game.” That way, they can follow real streets and track real pedestrians.
But self-driving cars aren’t good enough yet, largely because of weather and unexpected conditions that you really can’t program for – like a truck losing its load or a tree falling across a road. In bad weather, driving conditions deteriorate and create more risk… with no one willing to take the blame.
This question of liability is important. It’s a big factor in determining when self-driving cars might start to become widespread…
Industry lawyers like to call developments in the field of self-driving cars “advanced driver-assistance technologies” to avoid liability for life-or-death decisions.
For example, “driver assistance” technology that applies the brakes or pulls you back into your lane is much easier to defend than technology that leaps curbs to avoid a head-on collision – but which in turn crashes the car into a school bus stop. The second scenario leaves a lot more room to blame the carmaker for any incident.
The key will be in absolving carmakers from liability. That’s when we will see truly driverless cars on the market.
Most experts think that this is still five to 10 years out. But it could be even sooner. You see, one company is taking the first steps to solving these kinds of problems…
We’re talking about California-based Nvidia (NVDA), a $170 billion technology titan. (I first recommended NVDA shares to my Stansberry Venture Technology readers back in 2016, when the stock traded around $45 per share. Today, it trades around $280… a gain of more than 500%.)
Editor's Note: To find out about the next blockbuster stock like Nvidia, click here.
The trick to Nvidia’s strategy is that it’s like playing a video game in reverse. Instead of creating game-world objects rendered for the player’s point of view, Nvidia is tracking real-world objects to predict their future motion from the perspective of a driver’s moving car.
Imagine that you’re tracking a semitrailer… Odds are that it weighs between eight and 28 tons and has good tire tread. So in the next five seconds, it can go five miles per hour faster if the driver steps on the accelerator… or 30 miles per hour slower if he slams the brakes.
Nvidia has calculated an expected tracking range for cars, delivery vans, semitrailers, bulldozers, motorcycles, bicycles, and pedestrians walking beside and across a road… even dogs and cats.
We saw this technology running in the Nvidia booth at the 2016 Consumer Electronics Show (“CES”) in Las Vegas. We walked in front of a car at a crosswalk, and we could see our speed and trajectory uploaded into a “game” that a smart car was playing.
Obviously, we were impressed. But Nvidia’s latest technology is going a step further.
Technically, this process is called “deep learning.” But it’s easier to think of it as “self learning”…
Deep learning is how a car will gain the ability to drive from “scratch”… without a programmed database of every curb, stop sign, and left-turn lane stored in a memory bank. All it uses is a map…
For months, Nvidia’s car “watched” data of what real-life drivers did in reaction to different scenarios. Then folks from the company took the car out to a closed course and let it start hitting cones. After a while, it started hitting fewer cones… and then no cones.
This is the same logic that will help a car navigate snow, ice, and slush as proficiently as any human driver. That’s because the car can do more than just learn from its own experiences… It can also upload data from other cars.
In summary, self-thinking cars can outthink a fixed-object program that’s based on measuring every curb. And this reduces carmakers’ liability.
Machines are learning to think for themselves. This has never happened before. And the world of driving vehicles might be forever changed.
Case in point: texting while driving… It’s now a leading cause of car crashes, right up there with drunk driving. It leads to more minor accidents and about one-third as many deaths as drunk driving, according to the Centers for Disease Control and Prevention.
Technology can protect us from that.
More at: Daily Wealth
Tech Expert Issues Bold Prediction
While the idea of getting in “before” a big tech move like Nvidia seems impossible – that’s exactly what Paul Mampilly — the Wall Street legend who recommended Microsoft early on – is exceptional at.
It’s why, when he was a hedge fund manager, Barron’s named his $25 billion fund “one of the world’s best” and Kiplinger ranked it in the top 1%.
Now, in a controversial new video, Paul reveals a stock that he believes could follow a similar path. He even shows viewers how they can get in before this stock takes off … so you will have the opportunity to become the next “one stock millionaire.”
The last time Paul released a video like this, viewers reported making $121,319 … $627,573 … and even $900,000.
But here’s the thing, Paul believes this new opportunity will be bigger than every other recommendation he’s made in his decorated career. As he says in his new video: “This software company is like Microsoft in it’s infancy. It the holds the key to a tech industry primed to grow 77,400%.”
To see the video, go here now.
