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当年DIYer迷恋装电脑 如今他们转向了人工智能 [Photo] DIYer was obsessed with installing computers and now they are turning to artificial intelligence ★★★ [Font: Little Big ]
DIYer was obsessed with installing computers, and now they are turning to artificial intelligence
Author: Anonymous Healthcare: Site author Hits: Updated: 2019-3-16

On November 19th, according to foreign media reports, like already DIY computers, there are many happy lovers of artificial intelligence at the moment to manipulate existing things and data to develop their own artificial intelligence systems.

At the end of the winter of 1975, an invitation written on a piece of paper began to appear on a notice board near the San Francisco Peninsula. "Are you building your own computer?" It asked, "or any other digital black magic box? If so, you might want to join a party."

The invitation attracted 32 people to a garage in Menlo Park, California to join the first party of the Homebrew Computer Club, one of which was young engineer Steve Wozniak (Steve Wozniak), who later brought a partner named Steve Jobs to the club. Retired entrepreneur Len Shustek was also in the garage that night. He said: "This is a proof that the ego can spur technological progress, and it does not necessarily happen in large companies and universities." The same job happened. "

Since 2012, the computer has made significant progress in understanding speech and images, thanks to an already unknown technique-artificial neural collection. To truly control this kind of artificial intelligence technology, you need powerful computers, years of research experience, and profound mathematical roots. If you have all of these prerequisites, congratulations: you most likely used to be a highly paid employee at Amazon, Facebook, Google, or a few other tech giants, and they are racing to reshape the world with extremely complex artificial intelligence strategies.

However, the battle for the dominance of artificial intelligence is full of all kinds of things and parts that anyone can access. In order to attract top scientists and French developers to get involved in artificial intelligence, technology giants have released some internal artificial intelligence development kits and related research effects for free. Hackers and amateur hobbyists are now able to use almost the same craft to spur the craziest imagination in Silicon Valley. Artificial intelligence researcher and entrepreneur Andrew Ng hinted: "Now high school students are able to do what the world's best researchers couldn't do a few years ago."

People like Wu Enda have great hopes for amateur artificial intelligence. They hope that it can spread the potential of this technology physically and culturally to places far from Silicon Valley. The priorities and the way of treating the world "exercise" what happens when nerves are collected. Wu Enda likes to imagine that one day an Indian may manipulate the video about artificial intelligence they learned in the webmaster to make the local drinking water safer.

Of course, not all cheap (DIY) neural collections are suitable for all ages. At the end of the year, someone posted a porn video with a Reddit account, and the supporting actress appeared to be starring Gal Gadot in Wonder Woman. The video was widely disseminated in the dark corners of Reddit and on adult video sites. But the attentive audience noticed that Gado's face occasionally shone like a loose mask on her head. The final poster commented that the video was fake, and that Gado's facial image was generated by training the nerves to match the face of the star in the film. They posted the code and method online, so that anyone can make the same "deepfake" fake video.

Therefore, the era of cheap artificial intelligence may not be full of sweetness and light, but of course it is not full of dimness and pornography. The main thing is that its expression is outstanding in terms of homosexuality. Let's take a look at some of the pioneers of DIY artificial intelligence and see what happens when the public can teach new illusions to computers.

I'm going to let this nerve collection complete the lyrics-Robbie Barrat

When Robbie Barrat was in high school in the West Virginia countryside, he started by taking over the old core computers from local receivers, disassembling them, and then disassembling them from scratch. Then he taught himself programming on his own farm. In high school, he debated with his partners on whether computers can be creative, and then began to study artificial intelligence. Bharat's method was to exercise the nerve collection and learn to rap with Kanye West's lyrics. Bharat's schoolmates loved it, but some adults were surprised. "The faculty are a little unhappy because the neural collection is too profane," Bharat said.

In the end, the swearing artificial intelligence system proved to be a pass for Barrett's separate farm. His achievements were insufficient, and he could not enter a satisfactory university to study mathematics or computer science. But the project helped him find an active driving car project in the heart of Silicon Valley. Since then, he has moved to Stanford University and is now working in a biomedical laboratory trying to open up neural collections that might identify molecules with medicinal potential. But exercising nerve collection to create art is still his happy favorite.

Now in his spare time, Ballat manipulates video clips and photos on fashion shows and exercises artificial intelligence to generate photos of models wearing new clothes. The results are all fancy clothes-have you ever thought that you would like pants that are wrapped around your calves, or sweaters with huge pockets hanging on one side? However, Ballat is working with the imaginary to turn the power of artificial intelligence into real Clothes. He can't wait to try it on.

Diagnose animal diseases? There's a way of using it-Shaza Mehdi

The rose bushes in Shaza Mehdi's front yard are beautiful, but they can easily get sick. One day last year, Mehdi asked herself why her cell phone could not diagnose animal diseases like the handheld scientific analyzer in Star Trek. "How can computers know?" Asked the high school senior from Lawrenceville, Georgia. Soon, she and her partner, Nile Ravenell, played with nerve collection on the way to class, manicure, and to the Waffle House near the school.

Mehdi didn't know how to program, and she didn't have anyone like her. The adults she lives in can motivate her to do so, but cannot provide professional knowledge; the school in her location does not offer an introductory course in computer science. Mehdi was lying in bed at night, along with Teddy at home and her old Dell laptop, learning programming language Python and neural collection through YouTube videos and online tutorials. When she encounters a bug in French, she will beg for the eyewitness on the forum. "I really hate Bugs," she recalled cheerfully.

It is worth mentioning that Mehdi was enlightened by a YouTube video. The content is that a nerve collection developed by a Stanford University researcher can identify skin cancer. The results can be compared with professional dermatologists. An online tutorial tells her how to implement neural collection skills alone. The first step is to download software to identify everyday items, such as latrines and teapots. The second step is to adjust its vision from the beginning, and input about 10,000 pictures of diseased animals with logos. These pictures were collected by Mehdi from the Internet, and the disease determination was ended.

Later in 2017, she finally tested her use of French plantMD. Mehdi watched seriously using a French scan to scan a sick vine with light green and brown black spots on the leaves, and then a leaf with pits suddenly appeared on the phone screen at this moment. After several serious heartbeats, the words "vine anthracnose" flashed from above. A quick collection search confirmed this diagnosis: a clear case of fungal infection, also known as bird's eye rancidity. "I rest assured," Mehdi recalled, "handheld scientific recorder worked."

Dry cleaning is a difficult job in a small city in Japan. Daisuke Tahara's family has eight dry cleaners in Tagawa. Tagawa is located in the south of Japan, with only 50,000 teeth. So Tahara started thinking about letting the computer do some work.

At first, 38-year-old Tianhara tried to modernize his business with a better computer system, to better document and track orders. However, most of his employees lack experience in craftsmanship, and they have difficulty adapting to this system. "They are easily forgetful," Tahara said. So, the self-taught Frenchman started to study how the software actively checked customers' clothes. He read the book of related mechanical training online, and explained his English and programming skills to the extreme. In his own store, he took 40,000 photos of suits, shirts, skirts and other clothes and used them to exercise his artificial intelligence.

In July of this year, Tahara began testing systems in one of these stores. Customers put their clothes on the table, with a camera above their heads. Tahara's software took a look and then displayed its conclusions on the tablet (two shirts, one jacket). Employees need to assist customers the first time. After that, customers who come to the dry cleaners can take advantage of it.

Tian Yuan said that his workers were susceptible to his findings together, but changed the original view after finding that the software made their work easier. He doesn't plan to use this project as a promise of layoffs, but he hopes to help expand business. He hinted: "I want to open a shop that only needs this system and no employees."

In a warehouse in Oakland, California, a small group of book idiots are watching Will Roscoe use his thumb to tap his phone. Under his feet, a remote-control mold car with a torn plastic shell started on the scratched concrete floor and followed the runway marked by yellow and white tape markings, and Rothko did not further restrain. This car, called Frankenstein, has a camera with a bunch of electronics on top and is called a "donkey car" Donkey Car. Rothko is not an artificial intelligence expert, but the way he uses neural collection software in his works is similar to the way Waymo actively drives cars to perceive the world.

As a well-trained civil carpenter, Rothko envisioned Donkey Car because of his resume. In 2016, he ran for director of the San Francisco Bay Area subway system. Roscoe promised to replace the existing subway with an active electric bus to expand its capacity, but he only finished third. Making my own small self-driving car seems to be a good way to show voters that the craft is not pure fantasy. "I want to prove that it can express influence in a small area," he said.

Reality proves that his chance is very full-a group of happy lovers of robots who specially cracked the remote control mold car will hold their first meeting in nearby Berkeley. There he met another patchworker, Adam Conway, who offered to build a car like this. Roscoe, a self-taught Frenchman, manipulated Google's open source software TensorFlow to create his own active driving system. He also borrowed some neural collection code from a participant at a remote-mold car party. Rothko's final vision was to learn more about driving by looking at the behavior of a person driving a car during the demonstration. He named the model car he created as a "donkey cart", because he thinks that the donkey is safe for the children, not elegant in a conservative sense, and it is easy to present an unfavorable environment.

Rothko and Conway put all their software and hardware ideas online for others to use. Happy donkey cart lovers are now competing in Hong Kong, Paris and Melbourne, Australia. In January of this year, in Auckland's warehouse, nine cheap active driving cars competed to run a single lap at the fastest speed; among the collaborators, there was a "donkey cart" made by three serious high school students. These vehicles also started off the field. Two amateur happy lovers near Los Angeles have revolutionized donkey carts to spot and pick up trash on the beach.

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