Elon Musk is 'Scouting' new US locations for Cybertruck, Model Y Production

In this Nov. 21, 2019 file photo, Tesla CEO Elon Musk introduces the Cybertruck at Tesla's design studio in Hawthorne, Calif.

As reported by Engadget: So what's next after making a million Teslas? According to Elon Musk, a Cybertruck gigafactory that could be placed in "central USA," and Model Y production "for East Coast too." These tweets came just hours after the exec polled followers on whether or not the Berlin factory Tesla is building should include a "mega rave cave" so we'll see what, if any, of these things come true.

Elon Musk

✔@elonmusk

 · 13h

Scouting locations for Cybertruck Gigafactory. Will be central USA.

Elon Musk

✔@elonmusk

Model Y production for east coast too

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6:14 PM - Mar 10, 2020

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A tweet in February polled people on the question of building a factory in Texas, so it's hard to tell what to take seriously, although the possibility of Musk going on an Amazon HQ2-like quest collecting bids to put down roots seems like something that could happen.

The Model Y already landed as Tesla's milestone vehicle yesterday and shipments are scheduled to begin any day now. Meanwhile, the electric truck is a bit further off -- you can get Mattel's version sooner if you're in a hurry -- with production scheduled to start in late 2021. We'll see if that's long enough to keep Tesla's options opens on where to build its polarizing, angular pickup.

Within the past 24 hours, Elon Musk tweeted a picture of Tesla's millionth car -- a red Model Y that, according to our friends at Autoblog, appears to have the Performance Upgrade packages -- as well as speculating on locations for new factories.

Nikola Motors Unveils Hybrid Fuel-Cell Concept Truck with 600-Mile Range

A Toyota Tacoma for the fuel-cell crowd.

As reported by Engadget: Minus a patent suit, it's been a while since we've heard from Nikola, the other automaker named after the inventor of alternating current. On Monday, however, the company unveiled a concept for a new electric pickup truck called the Badger.

Nikola plans to offer the Badger as both a purely battery-electric vehicle and as an electric/fuel-cell hybrid. The company claims the hybrid powertrain model will feature a maximum range of approximately 600 miles, while the battery model will be limited to 300 miles. It also claims the pickup will be able to tow up to 8,000 pounds and accelerate from 0 to 60 miles per hour in approximately 2.9 seconds. Those capabilities, if Nikola can deliver on them, would make the Badger mostly comparable to Tesla's Cybertruck.

However, one major issue is the availability of hydrogen stations. Compared to battery charging stations, there aren't many places in the US where you can refill a fuel-cell vehicle. Even in a state like California, they're few and far between outside of major cities like San Francisco and Los Angeles. To solve the problem, Nikola says it plans to build 700 hydrogen filling stations. The company claims it has the first locations secured, but it won't announce them until later this quarter.

As for the truck, the company says it will fully detail the Badger at its upcoming Nikola World 2020 event in September, at which point it will start accepting limited reservations as well. The Badger, if it turns out to be more than a concept, will enter a field that is quickly becoming crowded. Beyond obvious competitors like the Cybertruck, there are vehicles like the upcoming Hummer, Rivian R1T and eventual electric Ford F-150 for Nikola to worry about.

Bill Gates is Reportedly the First to Buy a Hydrogen-Powered 'Superyacht'

The Aqua offers luxury sea travel without the usual environmental guilt.

As reported by Engadget: Bill Gates' investments in eco-friendly tech might include one of the more conspicuous symbols of his wealth. The Telegraph claims former Microsoft chief has tasked Feadship with building a vessel inspired by Sinot's Aqua, the world's first hydrogen fuel cell-based "superyacht." The roughly $644 million, 370-foot boat would have all the trappings of wealth, including five decks, space for 14 guests and 31 crew members and even a gym, but it would run on two 1MW motors fuelled by supercooled hydrogen tanks.

Sinot would even use gel-based fire bowls to keep passengers warm outside instead of burning coal or wood. It wouldn't be a fast mover with a 17-knot top speed (19.6MPH), but its 3,750-mile range should be enough for cross-ocean travel.

The vessel wouldn't be completely eco-friendly, though. As dockside hydrogen filling stations are more than a little rare, the Aqua would have a diesel engine backup to help it reach port.

The Gates Foundation and Gates Ventures both declined to comment to The Telegraph.

Aqua isn't expected to reach the sea until 2024, according to the report. It's easy to bring up criticism of the claimed purchase. Couldn't the money for this yacht go toward funding electric and hydrogen vehicle projects that could have more of an impact than one boat meant for pleasure cruises? Like Gates' investment in the sunlight electricity startup Heliogen, though, this could be as much about symbolic support for zero-emissions technology as anything else -- in this case, proof that powered boats don't have to make a huge dent in the environment.

Note: Sinot has updated its home page to say that reports of selling Aqua to Gates are "incorrect," and that there are no business links between the company and Gates. We've updated our piece accordingly, to treat this as rumor rather than fact.

A $1 Billion Initiative Aims to Bring EV Chargers to Highways and Rural Areas in the US

ChargePoint hopes to fill the gaps that prevent EV adoption.

As reported by Engadget: While Tesla, Electrify America and others technically have nationwide EV charging networks, they don't really provide full coverage -- many rural areas are far from any kind of charger infrastructure. ChargePoint believes it can help close that gap, though. It's teaming with NATSO on a $1 billion effort to bring EV chargers to over 4,000 travel centers and truck stops (which NATSO represents) by 2030, with a particular focus on highways and rural areas. This could both spur EV adoption in rural towns and help with long-distance travel for everyone, ChargePoint said.

The two allies hope to make use of both "public and private" cash to support their initiative, including Volkswagen settlement funds.

There's not much mystery as to why ChargePoint and NATSO are willing to spend on EV chargers. ChargePoint could corner an underserved market and reap the rewards if and when electric cars dominate. For NATSO, meanwhile, this may be a matter of survival. Many travel centers and truck stops are built on the assumption drivers are stopping for gas -- they could lose much of their business if people have few good reasons to make pit stops.

What's Behind Tesla's Neural Network For Autopilot And Self-Driving?

As reported by InsideEVs: Tesla Autopilot may be considered a breakthrough, but there are still concerns about semi-autonomous and fully autonomous vehicle technology. The concerns surrounding Tesla stem from the fact that it already has the tech employed in its cars, albeit in beta form. However, due to this real-world testing, Tesla has recorded over 3 billion miles of Autopilot data for use in its research.

The Autopilot section of Tesla's website explains the technology via several categories, including hardware, neural networks, autonomy algorithms, code foundation, and evaluation infrastructure. We'll be first to admit that we don't have a solid grasp of AI and neural networks, but the information is definitely fascinating. Even more interesting is the latest video, seen below.

The above video is also shown on Tesla's website, along with the section on neural networks. According to Tesla:

"Our per-camera networks analyze raw images to perform semantic segmentation, object detection and monocular depth estimation. Our birds-eye-view networks take video from all cameras to output the road layout, static infrastructure and 3D objects directly in the top-down view. Our networks learn from the most complicated and diverse scenarios in the world, iteratively sourced from our fleet of nearly 1M vehicles in real time. A full build of Autopilot neural networks involves 48 networks that take 70,000 GPU hours to train. Together, they output 1,000 distinct tensors (predictions) at each timestep."

US Colleges are Looking to Install Location Tracking Apps on Students’ Phones

Supposedly an easier way to track attendance

As reported by The Verge: Barely over a year ago, we pointed out how dystopian it seemed when Chinese schools added “smart uniforms” to track their students’ attendance. But US colleges are already testing out a similar tactic with a location tracking app, which students are now apparently expected to install on their phones.

I say “apparently” because there’s some confusion over whether the schools are actually forcing this on their students. The Kansas City Star reported that at the University of Missouri, new students “won’t be given a choice” of whether to install the SpotterEDU app, which uses Apple’s iBeacons to broadcast a Bluetooth signal that can help the phone figure out whether a student is actually in a room.

But a university spokesperson told Campus Reform on Sunday that only athletes are technically required to use the app, and a new statement from the university on Monday not only claims that it’s “completely optional” for students, but that the app’s being piloted with fewer than 2 percent of the student body.

What the reports do agree on: the app uses local Bluetooth signals, not GPS, so it’s probably not going to be very useful to track students outside of school. “No GPS tracking is enabled, meaning the technology cannot locate the students once they leave class,” reads part of the university’s statement.

SpotterEDU isn’t just used at the University of Missouri, though — it’s being tested at nearly 40 schools, company founder and former college basketball coach Rick Carter told The Washington Post in December. The Post’s story makes it sound remarkably effective, with one Syracuse professor attesting that classes have never been so full, with more than 90 percent attendance. But that same professor attested that an earlier version of the app did have access to GPS coordinates, if only for a student to proactively share their location with a teacher.

And Spotter isn’t the only company marketing this idea to administrators: another startup, Degree Analytics, uses Wi-Fi signals instead of Bluetooth to serve an additional 19 schools, the Post reports. In September, The New York Times wrote about a similar app from a company called FanMaker that provides “loyalty points” to students who stick around to watch college sports games at the stadium instead of skipping out. That app is in use at 40 schools, the Times wrote.

It doesn’t seem like any of these specific systems are particularly invasive, and it currently sounds like (most) students will be able to opt out. But it also sounds like the idea of tracking students’ locations is being quietly normalized, in a way that smacks of surveillance (compare to how some previous pilot programs attempted to track students equipped with RFID-embedded ID cards).

It’s not unthinkable that future apps might tell schools more about students’ behavior, and that it may become harder to say no.

Intel announces AI breakthroughs at CES

As reported by IoT M2M Council: Intel CEO Bob Swann (pictured) kicked off this week’s Consumer Electronics Show in Las Vegas by announcing breakthroughs in artificial intelligence (AI) that pave the way for autonomous driving, a new era of mobile computing innovation, and the future of immersive sports and entertainment.

Intel demonstrated all these and more at CES by showing how the company is infusing intelligence across the cloud, network, edge and PC, and driving positive impact for people, business and society.
 
Swan shared updates from its Mobileye business, including a demonstration of its self-driving robo-car navigating traffic in a natural manner. The drive demonstrated Mobileye's approach to deliver safer mobility for all with a combination of artificial intelligence, computer vision, the regulatory science model of RSS (responsibility-sensitive safety) and redundancy through independent sensing systems.
 
Swan also highlighted Intel's work with the American Red Cross and its Missing Maps project to improve disaster preparedness. Using integrated AI acceleration on second-generation Xeon scalable processors, Intel is helping the American Red Cross and its Missing Maps project to build highly accurate maps with bridges and roads for remote regions of the world, which helps emergency responders in the event of a disaster.
 
"At Intel, our ambition is to help customers make the most of technology inflections like AI, 5G and the intelligent edge so that together we can enrich lives and shape the world for decades to come,” said Swan. “As we highlighted today, our drive to infuse intelligence into every aspect of computing can have positive impact at unprecedented scale."
 
Mobile computing was an area of emphasis, as Intel made announcements spanning products, partnerships and platform-level innovations to transform the way people focus, create and engage.
 


Intel executive vice president Gregory Bryant (pictured above) gave a first look and demonstration of the latest Intel Core mobile processors, code-named Tiger Lake. Tiger Lake is designed to bring Intel's people-led vision for mobile computing to lif.
 
With optimizations spanning the CPU, AI accelerators and discrete-level integrated graphics based on the Intel Xe graphics architecture, Tiger Lake should deliver double-digit performance gains, AI performance improvements, a leap in graphics performance and four times the throughput of USB 3 with the integrated Thunderbolt 4. Built on Intel's 10nm+ process, the first Tiger Lake systems are expected to ship this year.
 
 
 
Intel vice president of architecture for graphics and software Lisa Pearce (pictured above) provided insight into the progress on the Intel Xe graphics architecture, which will provide performance gains in Tiger Lake, and previewed Intel's first Xe-based discrete GPU, code-named DG1.

Updates were announced on Intel's Project Athena innovation program, including the first Project Athena-verified Chromebooks. Project Athena-verified designs have been tuned, tested and verified to deliver system-level innovation and benefits spanning battery life, consistent responsiveness, instant wake, application compatibility and more.
 
Intel has verified 25 Project Athena designs to date, and Bryant announced an expanded partnership with Google that has already resulted in the first two Project Athena-verified Chromebooks, the Asus Chromebook Flip (C436) and the Samsung Galaxy Chromebook. Intel expects to verify approximately 50 more designs across Windows and Chrome this year and deliver a target specification for dual-screen PCs.
 
Through deepened co-engineering efforts with OEM partners, Intel helps deliver category-defining devices based on Intel Core processors. This includes dual-screen and fold-able designs such as the Lenovo ThinkPad X1 Fold, which leverages the Intel Core processor with Intel Hybrid Technology (code-named Lakefield) expected to ship midyear, and the Dell Concept Duet. Bryant also previewed the company's latest concept device, a fold-able OLED display form factor, code-named Horseshoe Bend.
 
 
 
The data center is the force that delivers intelligence to businesses around the world and Xeon scalable processors continue to be the foundation of the data center. Intel executive vice president Navin Shenoy (pictured above) announced that third-generation Xeon scalable processors, coming in the first half of 2020, will include DL boost extensions for built-in AI training acceleration, providing up to a 60% increase in training performance over the previous family.

Shenoy highlighted several ways Intel is threading intelligence into data platforms across cloud, network and edge and how this is transforming sports and entertainment. For example, Netflix has used the latest video compression technology, AV1, to enhance its media streaming services and bring content to life across the globe, with up to 60% compression efficiency over the previous compression technology.
 
Intel and Netflix's joint efforts continue with the development of an open-source high-performance encoder (SVT-AV1), optimized on second-generation Xeon scalable processors, that delivers quality and performance gains making it viable for commercial deployment.
 
A claimed first-of-its-kind in computer vision, 3D Athlete Tracking (3Dat) uses AI to enhance the viewing experience with near real-time insights and visualizations. 3Dat uses highly mobile cameras to capture the form and motion of athletes, then applies algorithms optimized with DL boost and powered by Xeon scalable processors to analyse the bio-mechanics of athletes' movements.
 
Shenoy announced that this technology would enhance replays of the 100m and other sprinting events at the Olympic Games in Tokyo later this year.
 
Intel and the sports industry are transforming the sports viewing experience with volumetric video, a progression towards enabling sports viewing without limitations. Intel True View synthesizes the entire volume of a stadium’s field to provide endless angles that allow fans to choose any vantage point and player perspective and stream from their devices.
 
Intel and the NFL showcased the power of streaming volumetric video with a play from the Cleveland Browns versus Arizona Cardinals game. The data produced from the first quarter of an NFL game alone reach beyond 3Tbyte per minute.