“New machine learning capabilities or research results might enable us to do new things that Google doesn't now,” says Dean.
Last weekend, Katt Gu and Suji Yan, published the “Anti-996 License,” which requires any company that uses the project's software to comply with local labor laws as well as International Labour Organization standards, including the right for workers to collectively bargain and a ban on forced labor.
The domains target a large pool of potential victims: More than 135 million Americans filed their taxes electronically last year, according to the IRS.Louise Matsakis covers cybersecurity, law, and internet culture for WIRED.Lookout discovered that tax scammers start early: Dozens of these websites were created in December, right around the time people begin receiving their W-2 forms.
For internet-goers, Boston Dynamics is that company that uploads insane videos of the humanoid Atlas robot doing backflips, of four-legged SpotMini opening doors and fighting off stick-wielding men, and as of last week, of a Segway-on-mescaline called Handle jetting around picking up and stacking boxes with a vacuum as its arm.
You'll find a lot of items, from helpful consumables to essentials like new Shinobi tools for your prosthetic arm and Prayer Beads to upgrade your character.
A report on Thursday from a British government oversight group found that Chinese telecom-equipment maker Huawei has basic, but deeply problematic flaws in its product code that create security risks.
Together, the groups want that advisory panel to come up with a standard that would force those building self-driving technology explain how their cars can get through bloopers and accidents, even without a driver at the wheel.
Turing Award winners, left to right, Yann LeCun, Geoff Hinton, and Yoshua Bengio, reoriented artificial intelligence around neural networks. The other winners are Google researcher Geoff Hinton , 71, and NYU professor and Facebook’s chief AI scientist Yann LeCun , 58, who wrote some of the papers that seduced Bengio into working on neural networks.
Joanne Armitage (L) and Shelly Knotts of Algobabez perform a set of live electronic music on the first night of Algorithmic Art Assembly. While the musicians played, the audience watched a live projection of the code the duo was typing to generate the sounds.
Adapted from " Coders : The Making of a New Tribe and the Remaking of the World," by Clive Thompson Penguin Press Oddities like the ramen optimizer have been part of Ho’s daily routines for years.
In a survey of 250 antivirus apps found in the Google Play Store, only 80 demonstrated basic competence at their jobs by detecting 30 percent or more of the 2,000 malicious apps AV-Comparatives threw at them.
Researchers at Ohio State University, the security company FireEye, and research firm Leidos last week published a paper describing a new system that reads millions of tweets for mentions of software security vulnerabilities, and then, using their machine-learning-trained algorithm, assessed how much of a threat they represent based on how they're described.
“Both Chinese and international customers ask about it.” Yitu’s technology is in use by police, and at subway stations and ATMs. It’s currently ranked first on one of NIST’s two main tests, which challenges algorithms to detect when two photos show the same face.
(Like other open source code, though, expect it to have some bugs.) Joyce also noted that the NSA views the release of Ghidra as a sort of recruiting strategy, making it easier for new hires to enter the NSA at a higher level, or for cleared contractors to lend their expertise without needing to first come up to speed on the tool.
But X-Force interns Hannah Robbins and Scott Brink found flaws—now mostly patched—in all five mainstream systems they looked at from the visitor management companies Jolly Technologies, HID Global, Threshold Security, Envoy, and The Receptionist.
Samsung Reveals the Galaxy Fold, Its Futuristic Bendy Phone Justin Sullivan/Getty Images When Samsung first teased its foldable smartphone in November, it mostly left the details to the imagination.
The comically long lists of known side effects of new drugs advertised on television will be dwarfed by the obligatory revelations of the sorts of questions that can not be responsibly answered by particular systems, with heavy penalties for manufacturers who “overlook” flaws in their products.
This Company Takes the Grunt Work Out of Using the Cloud HashiCorp cofounder Mitchell Hashimoto wrote course registration software in college so he didn't have to wake up early to sign up for classes.
LEARN MORE The WIRED Guide to Artificial Intelligence Hammond cofounded a startup called Narrative Science that generates business documents like financial reports by translating data into text.
The bot you’ll play Iconary with was created by applying machine learning algorithms to records of more than 100,000 Iconary games played by humans, drawing and guessing around 75,000 different phrases.
"Facebook has been a driving force in open source for years, sharing many critical pieces of technology with the broader community." Jim Zemlin, executive director, Linux Foundation "They went beyond just cloning what Google and Amazon did and innovate, they did something different," says Jonathan Ellis, who used Cassandra extensively as a Rackspace employee and went on to co-found DataStax, a company that supports Cassandra for corporate clients, in 2010.
Aurora has said that it has not ruled out working with other automotive manufacturers on self-driving cars; it also has partnerships with Hyundai and EV startup Byton.
Blockchain Can Wrest the Internet From Corporations' Grasp La Tigre As the internet has evolved over its 35-year lifespan, control over its most important services has gradually shifted from open source protocols maintained by non-profit communities to proprietary services operated by large tech companies.
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.