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Elon Musk wishes his so-called AutoPilot was 1/10th as good as what his ex-Engineer Neda Cvijetic is demonstrating for Nvidia.

Neda Cvijetic works on DRIVE AV software for autonomous vehicles at NVIDIA. Previously, she held senior research positions at NEC Labs America, served on the adjunct faculty of Columbia University, and worked on advanced projects in autopilot and infotainment systems at Tesla Inc.

This brainy woman has developed something with engineers at Nvidia which they installed on a new model Ford Fusion Hybrid for this demo.

How did Tesla ever let this woman slip away?

Turning a traditional car into an autonomous vehicle is an enormous challenge. At NVIDIA, we’re tackling the problem by building the essential blocks of autonomous driving — categorized into perception, localization, and planning/control software — and applying high-performance compute.

To test and validate our DRIVE AV Software, we use simulation testing with our DRIVE Constellation platform and operate test cars on public roads around our headquarters in Santa Clara, Calif., and other locations around the world.

With safety-certified drivers at the wheel and and co-pilots monitoring the system, the vehicles handle highway interchanges, lane changes and other maneuvers, testing the various software components in the real world.

At the core of our perception building blocks are deep neural networks (DNNs). These algorithms are mathematical models inspired by the human brain and learn by experience.

We use our DriveNet DNN to enable a data-driven understanding of obstacles (for example, cars vs. pedestrians) as well as compute distance to these obstacles. LaneNet is used to detect lane information, while an ensemble of DNNs perceives drivable paths.

WaitNet, LightNet and SignNet detect and classify wait conditions — that is, intersections, traffic lights and traffic signs, respectively. Our ClearSightNet DNN also runs in the background and assesses whether the cameras see clearly, are occluded or are blocked.

NVDA Daily Chart: Notice how all the moving averages are constricting in a box between $160 and $170 and how close NVDA is to testing to break above the 200 DMA and the down trendline on this chart.

NVDA Weekly Chart: We are close to a breakout above the 40 DMA and the down trendline leg. Would love to see that trendline breakout sometime this week.

Market Cap: $106.4 Billion

Shares Outstanding: 642.9 Million

Shares Float: 583 Million

Institutions Own: 68.78% of all shares

Macro thoughts and warning from investopedia:

BY ALAN FARLEY Updated Aug 26, 2019

Investor enthusiasm for chip stocks is wearing thin after 18 months of growing hostility between China and the United States, setting up a perfect storm for a secular breakdown that ends the decade-long semiconductor bull market. Components with the greatest exposure to the Asian nation could be hit the hardest, giving up 50% of more of their current market value, while an economic slowdown impacts companies with more local interests.

President Trump’s Friday tweet-storm, "ordering" U.S. businesses with Chinese exposure to leave the country, is especially dangerous for the semiconductor sector due to its wide-ranging manufacturing and sales exposure. In addition, China has embarked on an ambitious schedule to ramp up local chip production, eventually shutting out American companies from their largest growth venue on the planet.

The president’s flip-flops and soothing words from China have put a floor under major benchmarks on Monday, but we’ve been down this road a hundred times before, with optimism replaced by continued failure to cut a trade deal that lower odds for an economic slowdown. Sadly, it’s likely that both countries already know how this crisis will turn out and are manipulating local press to keep a short-term floor under the financial markets.

The list of semiconductor companies with heavy exposure to China reads like a who’s who of American business giants, with 40% to 65% of total revenues at Dow component Intel Corp (INTC), Texas Instruments Inc (TXN), NVIDIA Corp (NVDA), and Micron Technology Inc (MU). It will takes years and trillions of dollars to rearrange supply chains if the trade war escalates, compounded by massive loss of market share and the cyclical nature of chip sales.

My thoughts: Dreamer Dad has pointed out repeatedly how certain stocks in our SaaS universe are more immune to the trade war. I'm just putting this NVDA here as this board is not just SaaS-centric stocks.

I've traded Nvidia many times, long and short.

I will follow the chart for a breakout or breakdown and buy either calls or puts.

That said, had Elon Musk and his diminished FSD engineers been able to show something this stellar on their Autonomy Day a few months ago, TSLA shares would have skyrocketed.

I like how Nvidia is attacking FSD safely, without using mass car purchasers as human guinea pigs.

And Neda Cvijetic has just give the best presentation of FSD which I've ever seen on youtube. This woman could be running a company one day. She's a supernova rock star in my book.
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