The Swedish star, 29, has been involved in accusations of racism and anti-Semitism in recent years.
At this very moment, you're a participant in one of the things that makes us human: the telling and consumption of stories. It's impossible to say when our species began telling each other stories—or when we first evolved the ability to use language to communicate not only simple, practical concepts but to share vivid accounts of events real or imagined. But by 43,900 years ago, people on the Indonesian island of Sulawesi had started painting some of their stories in images on cave walls.
A newly discovered painting in a remote cave depicts a hunting scene, and it's the oldest story that has been recorded. And if Griffith University archaeologist Maxime Aubert and his colleagues are right, it could also be the first record of spiritual belief—and our first insight into what the makers of cave art were thinking.A 44,000-year-old hunting story
Across a 4.5 meter (14.8 foot) section of rock wall, 3 meters (9.8 feet) above the floor of a hard-to-reach upper chamber of a site called Liang Bulu'Sipong 4, wild pigs and dwarf buffalo called anoa face off against a group of strangely tiny hunters in monochrome dark red. A dark red hand stencil adorns the left end of the mural, almost like an ancient artist's signature. Through an opening in the northeast wall of the cave, sunlight spills in to illuminate the scene.
There are more ultra-mobile professionals now than ever before, which is why OEMs are developing increasingly thin-and-light laptops that will appeal to those users. No one wants to add heft to their bag, regardless of whether they're going off on a 10-hour flight or a 10-minute commute to work, thus increasing the appeal of thin-and-light laptops. But the most mobile among us will only go as thin and light as our performance needs allow us to—if a laptop isn't powerful or efficient enough to help you get work done, its svelte characteristics won't make up for that.
Enter the HP Elite Dragonfly two-in-one laptop, which is HP's answer to this problem. It's an ultra-slim laptop with a MIL-spec-tested design that weighs just 2.18 pounds, and it has the power and security features of one of HP's Elite series laptops. HP is betting on the idea that professionals will choose the thinnest and lightest laptop possible that doesn't compromise the performance or battery life they need to get things done regardless of their location—and that they'll pay top dollar to get it. We spent a few days with the Elite Dragonfly convertible to see how well-designed it actually is and to see if taking thin and light to the extreme hinders any necessities.Look and feel Specs at a glance: HP Elite Dragonfly two-in-one laptop As reviewed Lowest Best Screen 13.3-inch FHD (1920×1080) touchscreen 13.3-inch FHD (1920×1080) touchscreen 13.3-inch 4K (3840×2160) touchscreen OS Windows 10 Home Windows 10 Home Windows Pro 64 CPU Core i7-8665U Intel Core i5-8265U Core i7-8665U w/ vPro RAM 16GB 8GB 16GB HDD 512GB PCIe SSD + 32GB Optane Memory 256GB PCIe SSD 512GB PCIe SSD + 32GB Optane Memory GPU Intel UHD Graphics 620 Networking Intel AX200 Wi-Fi 5 (2×2), Bluetooth 4.2 Ports 2 x Thunderbolt 3, 1 x USB-A, 1 x HDMI, 1 x nano SIM, 1 x lock slot, 1 x 3.5mm headphone jack Size 11.98×7.78×0.63 inches (304×198×16mm) Weight 2.5 pounds (40 ounces) 2.18 pounds (34.0 ounces) 2.5 pounds (40 ounces) Battery 56.2Wh battery 38Wh battery 56.2Wh battery Warranty 1 year Extras Fingerprint reader, IR camera, optional vPro, optional LTE, TPM 2.0, absolute persistence module, power-on authentication, HP DriveLock and Automatic DriveLock, HP Sure Click, HP Secure Erase, HP Sure Start, HP Sure Run, HP Sure Recovery, HP Sure Sense, HP BIOSphere Price $2,169 $1,549 (available at this price point soon) $2,369 HP Elite Dragonfly laptop Starting at $1,629 from HP (Ars Technica may earn compensation for sales from links on this post through affiliate programs.) Design and durability
Being part of the Elite family, the Elite Dragonfly laptop had to adhere to certain durability and performance standards that users are accustomed to from that line. We'll get to the performance chops in a bit, but from a design perspective, the Elite Dragonfly surprised me.
The world of cryptocurrency has no shortage of imaginary investment products. Fake coins. Fake blockchain services. Fake cryptocurrency exchanges. Now five men behind a company called BitClub Network are accused of a $722 million scam that allegedly preyed on victims who thought they were investing in a pool of bitcoin mining equipment.
Federal prosecutors call the case a “high-tech” plot in the “complex world of cryptocurrency.” But it has all the hallmarks of a classic pyramid scheme, albeit with a crypto-centric conceit. Investors were invited to send BitClub Network cash, which would allow the company to buy mining equipment—machines that produce bitcoin through a process called hashing. When those machines were turned on, all would (in theory) enjoy the spoils. The company also allegedly gave rewards to existing investors in exchange for recruiting others to join. According to the complaint, the scheme began in April 2014 and continued until earlier this month.
Matthew Brent Goettsche, Jobadiah Sinclair Weeks, and Silviu Catalin Balaci are accused of conspiracy to commit wire fraud and conspiracy to offer and sell unregistered securities. A fourth defendant, Joseph Frank Abel, faces only the latter charge. Another unnamed defendant remains at large. Balaci’s name was redacted from one public version of the indictment, but appeared on another.
The hack targeted government computer systems, the country's telecommunications minister says.
Captain Phatsima founded Dare to Dream, an organisation trying to get women into aviation.
The winning app is being developed by Amazon Web Services and will be released for use in schools.
Welcome to Ars Cardboard, our weekend look at tabletop games! Check out our complete board gaming coverage at cardboard.arstechnica.com.
The full name of this game is Unmatched: Battle of Legends, Volume One. That last bit is important because there is more Unmatched coming. This first set allows us to answer important questions like: who would win in a fight between King Arthur and Sinbad? What if Alice ventured out of Wonderland to carve up Medusa? The matchups in this absurdist fight club are bonkers, and we’re only getting started.A long time ago in a galaxy far, far away...
Restoration Games is the noteworthy publisher that has brought us new editions of classic games like Fireball Island and Stop Thief! Those designs were given a few nips and tucks, a couple of injections of Botox, and a new wardrobe. They’re fresh, but they’re also grounded in the past, and they know how to put nostalgia to good use.
More than 13,000 artificial intelligence mavens flocked to Vancouver this week for the world’s leading academic AI conference, NeurIPS. The venue included a maze of colorful corporate booths aiming to lure recruits for projects like software that plays doctor. Google handed out free luggage scales and socks depicting the colorful bikes employees ride on its campus while IBM offered hats emblazoned with “I ❤️A
It’s that time of year again—time to buy more board games than you possibly have time to play.
To aid you in your quest, we’ve once again updated our massive board game buyer’s guide for the year by adding new entries, pruning some old ones, and bringing things in line with our current thoughts. This isn’t necessarily a list of our favorite games of all time; it’s just a big list of games we’re recommending in 2019. The list is divided into sections that cater to different audiences, and we think there’s something here for just about everyone.
Whether you’re looking to pick up your next cardboard obsession or need a gift idea for your weird cousin who’s always going on about “efficient resource trade routes,” you’re in the right place.
More than three-quarters of consumers who haggled were offered a better deal, according to Which?
Videos about the NHS received the highest views and shares on social media platforms.
Five-year-old Jacob Scrimshaw was born eight weeks early with most of his left arm missing.
Lawyers for Quadriga users say there are "questionable circumstances" behind Gerald Cotten's death.
The intrepid gang of teens who played their way out of a video game two years ago is back and facing a new in-game adventure in Jumanji: The Next Level, the latest installment in the popular franchise that originated with the 1995 film Jumanji. It's a solid sequel, following the same winning formula that made its predecessor such a big success.
(Spoilers for 1995's Jumanji and 2017's Jumanji: Welcome to the Jungle; mild spoilers for Jumanji: The Next Level.)
The franchise has its roots in a 1981 fantasy children's book by Chris van Allsburg, about two children who discover a jungle adventure board game with the ominous warning, "Do not begin unless you intend to finish." The original 1995 film adaption followed the basic premise pretty closely, although it added several characters, most notably Robin Williams as a grown Alan Parrish and his childhood friend Sarah Whittle (Bonnie Hunt). As a young boy in 1969, Alan finds a supernatural board game called Jumanji and begins to play with Sarah.
A bug in iOS 13.3 allows children to easily circumvent the restrictions their parents or guardians set with the Communications Limit feature in Screen Time. Apple has said it plans to fix the problem in a future software update.
The iOS 13.3 update released earlier this week added the ability for parents to whitelist contacts for their kids to communicate with. Kids need the parents to input a passcode to talk to anyone not on the list, with an exception made for emergency services like 911. It was the flagship feature of the update.
Yesterday, CNBC published a report detailing a bug that allowed kids to easily circumvent the restrictions. It turns out that when contacts are not set to sync with iCloud by default, texts or calls from unknown numbers present children with the option to add the number as a new contact. Once that step has been taken, they can communicate freely with the contact.
Federal investigators trying to solve arson cases in Wisconsin have scooped up location history data for about 1,500 phones that happened to be in the area, enhancing concerns about privacy in the mobile Internet era.
Four Milwaukee-area arsons since 2018, as yet unsolved, have resulted in more than $50,000 of property damage as well as the deaths of two dogs, Forbes explains. In an attempt to find the person or persons responsible, officers from the Bureau of Alcohol, Tobacco, Firearms and Explosives (ATF) obtained search warrants to gather data about all the devices in the area at the time.
The two warrants Forbes obtained together covered about nine hours' worth of activity within 29,400 square meters—an area a smidge larger than an average Milwaukee city block. Google found records for 1,494 devices matching the ATF's parameters and sent the data along.
The Pixelbook Go is Google's latest swing at a high-end, flagship laptop for Chrome OS. The device was announced and shipped in October, but only the mid- and low-end models. As first spotted by Chrome Unboxed, the laptop's highest-end configuration is now available for $1,399.
The new $1,300 model upgrades the Pixelbook Go to a 13.3-inch, 3840x2160 (331ppi) touchscreen LCD, an Intel Core i7-8500Y, 256GB of eMMC storage, and a 56WH battery. Like the $999 version, you get 16GB of RAM.
Those specs are super-overkill for running a Web browser, but remember, you can run Android and Linux apps on Chromebooks now, so maybe you'll find a way to make use of them. If you're really concerned about non-Web-browser tasks though, for $1,300, you might just want to buy a regular Windows, Mac, or Linux laptop and not deal with the restrictions of Chrome OS. The Pixelbook Go has a nice keyboard and a grippy bottom design, but it mostly earned a firm rating of "average" in our review. There is little that makes it stand out from the competition.
Mozilla and other organizations today appealed the court ruling that upheld the Federal Communications Commission's repeal of net neutrality rules, arguing that the FCC's claim that broadband isn't telecommunications should not have been accepted by judges.
The FCC repeal was upheld in October by a three-judge panel at the US Court of Appeals for the District of Columbia Circuit. The court had some good news for net neutrality supporters because it vacated the FCC's attempt to preempt all current and future state net neutrality laws. But Mozilla and others aren't giving up hope on reinstating the FCC rules nationwide.
The Mozilla petition filed today asks for an en banc rehearing of the case involving all of the DC Circuit judges. Mozilla is probably facing an uphill battle because the three-judge panel unanimously agreed that the FCC can repeal its own net neutrality rules.
In an earlier deep learning article, we talked about how inference workloads—the use of already-trained neural networks to analyze data—can run on fairly cheap hardware, but running the training workload that the neural network "learns" on is orders of magnitude more expensive.
In particular, the more potential inputs you have to an algorithm, the more out of control your scaling problem gets when analyzing its problem space. This is where MACH, a research project authored by Rice University's Tharun Medini and Anshumali Shrivastava, comes in. MACH is an acronym for Merged Average Classifiers via Hashing, and according to lead researcher Shrivastava, "[its] training times are about 7-10 times faster, and... memory footprints are 2-4 times smaller" than those of previous large-scale deep learning techniques.
In describing the scale of extreme classification problems, Medini refers to online shopping search queries, noting that "there are easily more than 100 million products online." This is, if anything, conservative—one data company claimed Amazon US alone sold 606 million separate products, with the entire company offering more than three billion products worldwide. Another company reckons the US product count at 353 million. Medini continues, "a neural network that takes search input and predicts from 100 million outputs, or products, will typically end up with about 2,000 parameters per product. So you multiply those, and the final layer of the neural network is 200 billion parameters ... [and] I'm talking about a very, very dead simple neural network model."