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Mr. Wizard Explains the Atari 1200XL

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YouTube / Rybagz

Sometimes Mr. Wizard is very thorough, like when he explained how the LaserDisc worked. Other times, he just kinda wings it.

Here's an example of Mr. Wizard (Don Herbert) taking apart an Atari 1200XL and its joystick, and pointing out various chips and things. In some places, he's right about what's happening, but he gets sloppy. For instance, when asked what a certain part does, Herbert says, "That one, from what I understand, is the color control. You can control the color image on the screen by, uh, juggling that." I'm not sure that's correct, and "juggling" is, shall we say, a nonstandard computing term.

He also dramatically oversimplifies how the RAM chips work, and confuses them with video output. He (correctly) points out the eight RAM chips as being related to an 8-bit computer (this would be an efficient way to lay out RAM in such a machine), but it's extremely unlikely that those RAM chips are actually doing what he claims—creating images on the screen. Oh well, it's for kids.

Anyway, this is fun even though it's flawed. My favorite part is the bit about disassembling the joystick. He's spot-on about that, and you can see how those kinds of controls (similar to those in D-pads on, say, the Nintendo controller) work. Enjoy:

For a technical discussion of this clip, check out this comment thread on Vintage Computing.

Incidentally, it's a life goal for me to have a room like Herbert has in this clip—cool monitors built into the walls, a Vectrex, big binders full of stuff. Perfect.

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Google's AI Can Make Its Own AI Now
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Artificial intelligence is advanced enough to do some pretty complicated things: read lips, mimic sounds, analyze photographs of food, and even design beer. Unfortunately, even people who have plenty of coding knowledge might not know how to create the kind of algorithm that can perform these tasks. Google wants to bring the ability to harness artificial intelligence to more people, though, and according to WIRED, it's doing that by teaching machine-learning software to make more machine-learning software.

The project is called AutoML, and it's designed to come up with better machine-learning software than humans can. As algorithms become more important in scientific research, healthcare, and other fields outside the direct scope of robotics and math, the number of people who could benefit from using AI has outstripped the number of people who actually know how to set up a useful machine-learning program. Though computers can do a lot, according to Google, human experts are still needed to do things like preprocess the data, set parameters, and analyze the results. These are tasks that even developers may not have experience in.

The idea behind AutoML is that people who aren't hyper-specialists in the machine-learning field will be able to use AutoML to create their own machine-learning algorithms, without having to do as much legwork. It can also limit the amount of menial labor developers have to do, since the software can do the work of training the resulting neural networks, which often involves a lot of trial and error, as WIRED writes.

Aside from giving robots the ability to turn around and make new robots—somewhere, a novelist is plotting out a dystopian sci-fi story around that idea—it could make machine learning more accessible for people who don't work at Google, too. Companies and academic researchers are already trying to deploy AI to calculate calories based on food photos, find the best way to teach kids, and identify health risks in medical patients. Making it easier to create sophisticated machine-learning programs could lead to even more uses.

[h/t WIRED]

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Who Betrayed Anne Frank? A New Investigation Reopens the Case
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The tale of Anne Frank’s years spent hiding with her family in the secret annex above her father’s warehouse is known around the world. Yet despite years of research by Otto Frank (Anne's father and the only member of her family to survive the Holocaust) and scholars, we still don’t know exactly what circumstances led to Anne and her family’s discovery. A new investigation is reopening the cold case in the hopes of finally finding out the truth, The Guardian reports.

The long-accepted theory of the Franks’ discovery and subsequent arrest is that an anonymous tip to the Sicherheitsdienst, the Nazi intelligence agency, gave their hiding place away. The 30 potential suspects identified over the years have included a warehouse worker, a housekeeper, and a man possibly blackmailing Otto Frank. In December 2016, researchers at the Anne Frank House floated a new theory: The discovery was incidental, the result of a police raid looking for proof of ration fraud at Otto Frank’s factory, in which police just happened to uncover two Jewish families living in secret. However, none of these theories has been proven definitively.

Now, a team of investigators led by a former FBI agent is taking on the cold case, reviewing the archives of the Anne Frank House in Amsterdam, examining newly declassified material in the U.S. National Archives, and using data analysis to find a conclusive answer to the decades-old mystery.

“This investigation is different from all previous attempts to find the truth,” according to the Cold Case Diary website. “It will be conducted using modern law enforcement investigative techniques. The research team is multidisciplinary, using methods of cold case detectives, historians, but also psychologists, profilers, data analysts, forensic scientists and criminologists.” Thijs Bayens and Pieter Van Twisk, a Dutch filmmaker and journalist, respectively, came up with the idea for the project, and recruited the lead investigator, retired FBI agent Vince Pankoke. Pankoke has previously worked on cases involving Colombian drug cartels.

The new Anne Frank case will focus on investigative techniques that have only become available in the last decade, like big data analysis. Already, the investigators have uncovered new information, such as a German list of informants and the names of Jews that had been arrested and betrayed in Amsterdam during the war, found in the U.S. National Archives.

The investigators hope to provide answers in time for the 75th anniversary of the Frank family’s arrest in August 2019.

[h/t The Guardian]

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