Gaze Upon the Black Magic of Electrical Discharge Machining Reliable EDM It’s not every day that industrial machining sends you into a fit of joy.
The record-setting project involved the world’s most powerful supercomputer, Summit, at Oak Ridge National Lab. The machine captured that crown in June last year, reclaiming the title for the US after five years of China topping the list.
DeepMind’s broadcast showed its artificial intelligence bot, AlphaStar, defeating a professional player at the complex real-time-strategy videogame StarCraft II . “In a way, beating humans at games has gotten boring.” StarCraft is a trickier challenge for computers than boardgames like chess because many more decisions are required to build and direct an alien army in real time.
Replace the wheels with heavy-duty helicopter skids, add four buzzing dronelike electric fans to each one, and you’ll have something like Boeing’s prototype flying taxi.
A gloved technician gently placed those light enough to carry against white and black velvet backdrops for Richards to shoot with his Canon 1DS Mark II, using simple overhead fluorescent lighting for illumination.
But Shannon wanted to know if she should switch to a fancier and more expensive new model—specifically one of those from Magimix, Cuisinart, or [Breville], the latter two having built-in mini processors, which, thanks to a bowl insert, helps you process smaller quantities of food.
The Exaggerated Promise of So-Called Unbiased Data Mining Getty Images Nobel laureate Richard Feynman once asked his Caltech students to calculate the probability that, if he walked outside the classroom, the first car in the parking lot would have a specific license plate, say 6ZNA74.
Hyundai's Walking Car Concept With Legs Reinvents the Wheel Hyundai calls this concept Elevate, or the Ultimate Mobility Vehicle. But Hyundai has thought through a business case for the machine it’s calling Elevate, or the Ultimate Mobility Vehicle (how about the ummmm...
A Russian casino hired him to learn how to tweak machines manufactured by Novomatic, an Austrian company, so that their odds would favor the house more than usual: The machine had been programmed to pay out 90 percent of the money it took in, a figure that Alex’s client wanted him to adjust down to 50 percent.David Brandon Geeting for WIREDIn the course of reverse engineering Novomatic’s software, Alex encountered his first PRNG.
NVIDIA These people, cats, and cars don’t exist—the images were generated by software developed at chipmaker Nvidia, whose graphics chips have become crucial to machine learning projects. Generative adversarial networks usually have to be trained to create one category of images at a time, such as faces or cars.
Alexa has gotten smarter, in ways so subtle you might not yet have even noticed.Machine HeadSo-called active learning, in which the system identifies areas in which it needs help from a human expert, has helped substantially cut down on Alexa’s error rates.Those may sound like small tweaks, but cumulatively they represent major progress toward a more conversational voice assistant, one that solves problems rather than introducing new frustrations.
Like the cheaper version, you have to load coffee in the portafilter basket yourself and twist it on (use a fine grind and tamp it down with some pressure for the best taste), but the machine can mix a cappuccino or latte macchiato for you at the press of a button.
I think we’re going to have to do it like you would for people: You just see how they perform, and if they repeatedly run into difficulties then you say they’re not so good.WIRED: You’ve said that thinking about how the brain works inspires your research on artificial neural networks.
Last month Xanadu released PennyLane, a software package meant to make it easier to run machine learning algorithms on a quantum computer.Software packages like Xanadu’s and Google’s are compatible with multiple quantum computing architectures.
For the first round, the teams have 24 hours to figure out as much useful information as possible from social media, blogs, and news reports, with the help of a few resources like a basic dictionary and an hour of time with a native speaker of the language.
So please be gentle with me as I introduce the theme of this car roundup, which is holiday plane travel.For this greatest of travel weeks, we're reviewing all the juicy, fun here-to-there stories we wrote in the last year or so, about building the most audacious flying machine ever, about staying healthy on your next flight, and about surprisingly safe airport Wi-Fi. We’ve got some important plane travel gear.
I decided to try them after talking with Barrat in the course of writing about self-taught AI experts in the December issue of WIRED, and learning that a Parisian art collective called Obvious used his recipes and code to create a work that sold at Christie’s for $432,500.Barrat makes art using artificial neural networks, webs of math that have spawned the recent AI boom by enabling projects like self-driving cars and automated cancer detection.
The new work vastly expands the possibilities, though, by developing machine learning models that can churn out master prints."Even if a biometric system has a very low false acceptance rate for real fingerprints, they now have to be fine-tuned to take into account synthetic fingerprints, too," says Philip Bontrager, a PhD candidate at NYU who worked on the research.
Today, machine learning algorithms can detect over 100 types of cancerous tumors more reliably than a trained human eye. In Guatemala City, images and algorithms were used to locate “soft-story” buildings – buildings at least two stories high that have a structurally weak first floor.
Platinum iridium is an extremely hard material and difficult to scratch, but “it makes you paranoid,” he says.Abbott also has to monitor the weights, to check that their masses stay the same over time.
On the more expensive XS models, portrait mode includes an impressive new function that makes it possible to change the depth of field on a photo after it has been taken, blurring or sharpening the background.App developers can play with the power of Apple’s new neural engine through Core ML, a framework the company offers to help programmers deploy machine learning on Apple devices.
“This is all about letting the robot supervise itself, rather than humans going in and doing annotations,” says coauthor Lucas Manuelli, also of MIT CSAIL.“I can see how this is very useful in industrial applications where the hard part is finding a good point to grasp,” says Matthias Plappert, an engineer at OpenAI who has developed a system for a robot hand to teach itself how to manipulate, but who wasn’t involved in this work.
But now that it’s looking build up its team (currently about 160-strong), it has published a blog post laying out its approach to robo-driving.WIRED sat down with Urmson, Aurora's CEO, to go over its key points—including the role of machine learning, measuring progress, and proving safety—and how he and his cofounders are handing their second lap around this track.Teaching the MachineIn developing this technology, it’s tempting to fall into what Urmson calls “ladder building.” For example, if you’re working on bringing the car to a stop, you want to keep making it smoother and smoother.