What a Tesla Car Sees When in Autopilot Mode Will Remind You of a T-800 HUD [Video]

https://www.geeksaresexy.net/2020/02/06/what-a-tesla-car-sees-when-in-autopilot-mode-will-remind-you-of-a-t-800-hud-video/

What a Tesla Car Sees When in Autopilot Mode Will Remind You of a T-800 HUD [Video]

Here is what a Tesla car sees when entering autopilot mode. This looks awfully like the T-800 heads-up display from Terminator 2, don’t you think?

This video shows what Tesla Autopilot’s neural network sees on the road. Tesla says the system relies on per-camera networks to analyze raw images to perform semantic segmentation, object detection and monocular depth estimation. It employes birds-eye-view networks to take a video from all cameras to output the road layout, static infrastructure and 3D objects directly in the top-down view.

[Carscoops | Via Nerdist]

via [Geeks Are Sexy] Technology News https://ift.tt/23BIq6h

February 6, 2020 at 03:02PM

A Code-Obsessed Novelist Builds a Writing Bot. The Plot Thickens

https://www.wired.com/story/code-obsessed-novelist-builds-writing-bot-the-plot-thickens


A carven image of Ganesha, the elephant-headed Hindu god who is known as both “the remover of obstacles” and the patron of poetry, greets visitors from the front door of the Craftsman-style home in north Oakland, just a few houses south of the Berkeley border, that Chandra shares with his wife, Melanie Abrams (also a novelist, also a creative writing teacher at Berkeley), and his two daughters.

The word granthika is a Sanskrit noun that means “narrator, relator” or “one who understands the joints or division of time.” It is closely related to another noun, grantha, which means “an artificial arrangement of words, verse, composition, treatise, literary production, book in prose or verse, text,” and the root stem granth, which means “to fasten, tie or string together, arrange, connect in a regular series, to string words together, compose (a literary work.)”

But what Granthika is really intended to be is the remover of obstacles that hinder the stringing together of an artificial arrangement of words in a harmonious, meaningful fashion. The core challenge of this goal is that it knocked heads with one of the most stubborn problems in computer science—teaching a machine to understand what words mean. The design document describing Granthika that Chandra wrote in airports and hotels while on tour for Geek Sublime called for a “reimagining of text.” But that’s easier written than done.

“I discovered that attaching knowledge to text is actually a pretty hard problem,” Chandra says.

Computer scientists have been trying to slice this Gordian knot for decades. Efforts like the Text Encoding Initiative and Semantic Web ended up loading documents with so many tags aiming to explain the purpose and function of each word that the superstructure of analysis became overwhelmingly top heavy. It was as if you were inventing an entirely new language just to translate an existing language. Software applications built on top of these systems, says Chandra, were “difficult and fragile to use.”

One sleepless night, Chandra had an epiphany. He realized, he says, that the key to representing text and semantics in a way that avoided the problems of the traditional approaches lay in treating text as a “hypergraph.”

With traditional graphs, Chandra says, diverting into mathematical terrain that most of the writers who use Granthika will likely never dare enter, “you only have attachments between one node and the next and the next. But a hypergraph can point to many objects, many nodes.” A hypergraph approach would, he realized, enable a organizational system that illuminated multiple connections between people, places, and things, without getting bogged down in efforts to define the essential meaning of each element. The goal of processing a text document into a multi-nodal hypergraph of connections became Granthika’s central operating principle.

The underlying software is built on an adaptation of an open source database program called HypergraphDB, created by a Montreal-based programmer, Borislav Iordanov. Chandra first encountered Iordanov’s work when he started Googling around to see if any existing software fit the description of what he had conceived in his head. Chandra emailed Iordanov some technical questions; Iordanov responded by asking him what it was, exactly, that he wanted to do, and ended up so intrigued by Chandra’s answers that he joined the nascent project.

So how does it work, practically? In version one of Granthika, which launched in November, writers engage in a running dialogue with the software. The writer tells Granthika that so-and-so is a “character,” that such-and-such is an “event,” that this event happened at this time or at this location with this character, and so on. This becomes the rule set, the timeline, the who-what-where-when-how.

Behind the scenes, under the surface of the document, Granthika is a database of connecting links between these text objects. If, in the middle of the creative process, the writer wants to review a particular character’s trajectory, she can click on that character’s name and go directly to a timeline of all the events or scenes that that character is involved with.

“So I’m writing a novel,” Chandra says, “and I’m mentioning a character on page 416 and she is a minor character that I last mentioned on page 80. Previously, to know about that character I have to open up my note-taking program and then search through the notes. With Granthika, I can press one key stroke and go to her page, as it were, and see all my notes about her and hopefully soon pictures that I’ve attached, and so on.”

The breakthrough is that the computer doesn’t have to understand at any sentient level who the character is, it just has to know what things that character is connected to.

Creating a hypergraph database that links multiple elements in a novel like Sacred Games is a process-intensive computing task that Iordanov says wouldn’t have been possible until relatively recently. It is also a realization of what some of the earliest observers of electronic text theorized was a crucially defining aspect of computer-mediated, globally networked technology—the new ability to meaningfully link things together.

via Wired Top Stories https://ift.tt/2uc60ci

February 6, 2020 at 06:09AM

A $1 billion initiative aims to bring EV chargers to highways and rural areas

https://www.engadget.com/2020/02/06/chargepoint-natso-ev-chargers-highways-rural-areas/

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.

Source: ChargePoint

via Engadget http://www.engadget.com

February 6, 2020 at 09:42AM

Facebook and Venmo demand Clearview AI stops scraping their data

https://www.engadget.com/2020/02/06/facebook-venmo-cease-and-desist-clearview-ai/

Following Google and Twitter, Facebook has become the latest company to take legal action against controversial facial recognition startup Clearview AI. According to Buzzfeed News, the company sent a cease-and-desist letter to Clearview sometime this week, demanding that it stop taking data from Facebook and Instagram. "Scraping people’s information violates our policies, which is why we’ve demanded that Clearview stop accessing or using information from Facebook or Instagram," a spokesperson for the company told Buzzfeed News.

Before sending the letter, it appears Facebook had tried several different approaches to get Clearview to comply. According to CBS News, the social media giant sent multiple letters to Clearview, attempting to clarify its policies. CBS News says the company had also requested detailed information from Clearview about its practices and demanded that the startup stop using data from Facebook’s products.

Clearview came under intense scrutiny earlier this year when a report from The New York Times showed that the company has been scraping billions of images from websites like Facebook, Twitter and YouTube without consent to build out its facial recognition database. The startup works with more than 600 police departments across North American and claims its technology is 99.6 percent accurate in identifying individuals.

It’s unclear why Facebook took longer to take formal legal action against Clearview than other companies such as Google. One possible reason is that Facebook board member Peter Thiel was an early investor in the startup. The fact that Thiel has a relationship with both companies may have complicated Facebook’s response. In either case, we’ve reached out to Facebook for comment, and we’ll update this article when we hear back from the company.

CBS News reports Venmo recently sent a cease-and-desist letter to Clearview as well. In an interview with the broadcaster, Clearview CEO Hoan Ton-That said his company would challenge the letters by arguing it has a First Amendment right to publicly available information. "Google can pull in information from all different websites," he said, comparing Clearview’s product to Google’s search engine. "So if it’s public, you know, and it’s out there, it could be inside Google search engine, it can be inside ours as well." In a statement it issued this week, Google said Ton-That’s comparison was misleading. "Most websites want to be included in Google Search, and we give webmasters control over what information from their site is included in our search results, including the option to opt-out entirely," the company said.

Complicating the entire situation is that there aren’t any federal laws that regulate the use of facial recognition in the US. Some cities such as San Francisco have enacted partial bans of the technology, but there’s no consensus between different cities and states.

Source: CBS News, Buzzfeed News

via Engadget http://www.engadget.com

February 6, 2020 at 09:55AM

At Astra Space, failure is an option

https://arstechnica.com/?p=1651331

  • Astra Space performs a test on its rocket outside its headquarters in Alameda, Calif.

    Astra Space

  • An overview of the company’s factory. Lunch tables at right, team offices in the middle, manufacturing at left. In the back, you can see rockets being assembled.

    Astra Space

  • Three Rocket 3.0s in the Alameda factory.

    Astra Space

  • An engine test in one of the indoor test facilities.

    Astra Space

  • The full rocket is brought outside the testing area at Alameda, Calif.

    Astra Space

  • A view inside a flight control room.

    Astra Space

  • A closer view of the rocket during a pressurization test.

    Astra Space

  • A view of a nearly complete rocket inside the factory.

    Astra Space

  • Here are three copies of Rocket 3.0 in various states of readiness.

    Astra Space

ALAMEDA, Calif.—Toward the end of an interview on Tuesday morning, Adam London finally came out and admitted it. “Honestly, we’re building a pretty boring rocket.”

This is by design, of course. His company Astra Space, which just emerged from stealth mode this week, does not want to build the sleekest or most modern of rockets. Rather, says London (the company’s co-founder and chief technology officer), Astra seeks to deliver the most bang for the buck to customers. To that end, Astra has developed a no-frills launch system. Even the company’s name for its newest rocket, “Rocket 3.0,” lacks pizzazz.

“This is not about making the best, most sexy rocket,” London said in a small conference room at the company’s headquarters in Alameda, California. “We want to make the simplest, most manufacturable rocket.”

Over the last five years, dozens of startups have emerged in the United States and around the world with flashy plans to build low-cost rockets to meet this rising demand for small satellite launch. Some are more credible and well-funded than others. But among that crowd, Astra Space currently stands out for several reasons: They are moving fast, aim to be insanely cheap, and are rigorously following an iterative design process. Perhaps most importantly, they’re willing to fail.

When London and co-founder Chris Kemp started Astra Space in late 2016, the pair imagined two fundamental pathways to get stuff into low-Earth orbit cheaply. SpaceX has already very nearly perfected one of them by building the capable Falcon 9 rocket, which is highly reliable, brawny, and increasingly reusable.”It is an incredible engineering achievement,” London said of SpaceX’s workhorse rocket. “I remain in awe of what they have done.” For highly valuable large satellites and astronaut launches, the Falcon 9 provides an optimal solution.

But the Astra team believes there is another path, too. Over the last decade, a slew of new space startups and traditional players have begun to build smaller satellites, and these companies are looking for ever-cheaper rides into space and specific orbits. These 50 to 150-kg satellites are, London says, almost disposable. Most lack extensive propulsion systems, and therefore they’ll only have a design lifetime of a few years before they get dragged back into Earth’s atmosphere. Astra Space has crafted what it sees as a solution for this, a rocket neither exquisite nor perfect. “We’re actually not shooting for 100 percent reliability,” London said. Instead, Astra is willing to trade a small amount of reliability for a big cost savings.

And it’s betting customers will as well.

Fast

London and Kemp met about five years ago, following an introduction by Robbie Schingler, co-founder of the satellite company Planet. As a former Chief Technology Officer at NASA, entrepreneur, and gifted fundraiser, Kemp was taken by London’s engineering work designing very small rockets. Under one grant from the US Defense Advanced Research Projects Agency (DARPA), London had designed a rocket to launch a single 3U CubeSat, weighing less than 5kg, into orbit. The rocket, which never launched, had a diameter of less than half a meter.

The more London and Kemp talked, the more they liked the idea of building a rocket using some of the technologies that London had honed over a decade at his small start-up, Ventions. These included an electric pump to pressurize rocket fuel before it enters the engine chamber, a lower-weight alternative to a turbopump. When the pair founded Astra Space in October 2016, London brought over about 10 employees from Ventions and some preliminary rocket engine concepts.

From there, Astra moved quickly, designing the first version of its booster, called Rocket 1.0, throughout 2017. At the same time, the team modified a test site literally next door at the former Alameda Naval Air Station, which had two large tunnels for jet engine testing. Here, throughout that first full year, they would perform hundreds of first-stage engine tests indoors.

  • This gallery shows scenes from the company’s launch facility in Kodiak, Alaska.

    Astra Space

  • Here is a view of the launch of Rocket 1.0.

    Astra Space

  • Another view of the launch of Rocket 1.0 in April, 2018.

    Astra Space

  • The business end of Rocket 1.0.

    Astra Space

  • Rocket 2.0 launches in November, 2018.

    Astra Space

  • Overview of the spaceport.

    Astra Space

  • It’s pretty up there.

    Astra Space

  • But cold.

    Astra Space

By the spring of 2018, the company was ready to launch its first rocket, which included five first-stage engines and a chunk of metal for the second stage. This rocket was never designed to reach orbit from its launch site at the Pacific Spaceport Complex in southern Alaska, on Kodiak Island. In fact, due to some components used, the first stage engines were only capable of firing for about 60 seconds. Kemp said this first flight’s primary goal was to not hurt anyone and, secondarily, to hopefully not destroy the launch site. The rocket ended up launching and performing reasonably well for its minute-long mission.

This experience gave the team confidence to refine its design for Rocket 2.0, which was developed during the summer of 2018 and launched in November of that year. This rocket had more components of a second stage, but it still lacked an engine, so it also could not put a payload into orbit. However, Astra hoped the rocket’s first stage would fire long enough for the rocket to breach the Kármán line, the internationally designated boundary of space 100km above the Earth’s surface. Disappointingly, due to an issue with a “speed controller,” the rocket did not make it that far, terminating flight early. Even so, Kemp said the mission met about 75 percent of its overall objectives.

Astra, which now has 170 employees, spent the entirety of 2019 designing and building Rocket 3.0. Kemp and London do intend for this version to reach orbit, and they have made significant changes to the overall design accordingly. Notably, London doubled the performance of the first stage engine, named Delphin after a Greek sea God, from 3,000 pounds of thrust at sea level to 6,000 pounds. (The upper stage engine is named Aether, after the pure “upper sky” air breathed by Greek gods.) Engineers also overhauled the avionics, switched to a “common dome” design between the liquid oxygen and kerosene propellant tanks, and more.

If all goes well, the first Rocket 3.0 will launch within “single digit weeks” from Alaska. The actual date will be determined by DARPA as part of its Launch Challenge to support rapid, reliable launch capabilities. Of the 18 teams that originally entered the contest—including a major industry player Virgin Orbit and a now-bankrupt Vector—only Astra still has a chance to win the $12 million prize. Kemp said the first Rocket 3.0 has already completed a static fire test at a site south of Sacramento, the former Castle Air Force Base, but the rocket has not yet been shipped to Alaska. (The company plans to launch polar missions from Alaska. It also will likely lease a site in the Kwajalein Atoll from the US Army for equatorial and mid-latitude inclinations).

If Astra makes it to orbit this year, it would do so remarkably fast for a private company developing a new, liquid-fueled rocket. SpaceX holds the current record, taking six years and four months from its founding to reaching orbit with its Falcon 1 rocket. Rocket Lab, the other startup with an orbital rocket, required more than 11 years. Other companies that may make orbital launch attempts this year include Virgin Orbit (founded December 2012) and Firefly (January 2014). Launching successfully any time before October would mean that Astra reached space in less than four years.

Listing image by Astra Space

via Ars Technica https://arstechnica.com

February 6, 2020 at 07:06AM