Apple will reportedly ditch the 3.5mm to Lightning port headphone dongle with this year's iPhone models. Apple notoriously dropped the headphone jack from the iPhone 7 in 2016. It has included a headphone adapter with every iPhone since to help curb public unease. The Verge reports: The research note claims that Cirrus Logic, a supplier for the dongle has "confirmed" that it won't be included in the box alongside the new iPhones. Apple has been trying to transition away from wired headphones entirely with its AirPods and lineup of wireless Beats headphones, so the move isn't entirely surprising. The dongle was always meant as a stopgap while customers adjusted to the new, headphone jack-less reality that Apple imposed on the world. Apple will almost certainly continue to sell the dongle -- which costs $9 -- separately for users who still want it. But if the report is true (which, again, remains to be seen), it's hard to imagine that customers will take the news well. The Barclays research note was first spotted by Mac Rumors.

An anonymous reader quotes a report from TheStreet: General Electric stock was little changed on Friday, August 3, as a GE engineer with ties to China who has been accused of stealing proprietary power-turbine technology has been released on bond. Xiaoqing Zheng, 56, has been in custody since Wednesday when the FBI raided his home in Niskayuna, New York, near Albany. A federal judge on Thursday set a $100,000 bond; Zheng offered his family's home as collateral and was released on Friday. He was ordered to wear an electronic monitoring device and limit his travel, according to multiple media reports.

Zheng, who is a U.S. citizen, was hired by GE in 2008 to work as a principal engineer for the company's power division, according to an affidavit by an FBI agent filed in federal court in Albany. Zheng is "suspected of taking/stealing, on multiple occasions via sophisticated means, data files from GE's laboratories that contain GE's trade secret information involving turbine technology," the FBI said in its affidavit. He also took "elaborate means" to conceal the removal of GE data files. "The primary focus of this affidavit is Zheng's action in 2018 in which he encrypted GE data files containing trade secret information, and thereafter sent the trade secret information from his GE work computer to Zheng's personal e-mail address hidden in the binary code of a digital photograph via a process known as steganography," the FBI said. "Additionally, the secondary focus of this affidavit is Zheng's actions in 2014 in which he downloaded more than 19,000 files from GE's computer network onto an external storage device, believed by GE investigators to have been a personal thumb drive."

Zheng's attorney disputed the allegations, saying Zheng "transmitted information on his own patents to himself and to no one else."

An anonymous reader shares a report: AMD has cornered the x86 console market with its handy semi-custom mix of processors and graphics. While we slowly await the next generation of consoles from Microsoft and Sony, today AMD and Zhongshan Subor announced that a custom chip has been made for a new gaming PC and an upcoming console for the Chinese market.

The announcement states that a custom chip has been created for Subor that is based on four Zen cores running at 3.0 GHz and 24 compute units of Vega running at 1.3 GHz. The chip is supported by 8GB of GDDR5 memory, which the press release states is also embedded onto the chip, however it is likely to actually be on the package instead. [...] Assuming that this custom chip is a single chip design, with CPU and GPU, this means that AMD is handily gaining custom contracts and designing custom chip designs for its customers, even for consoles that won't have the mass western appeal such as the Xbox or Playstation.

An anonymous reader quotes a report from The Verge: [A] recent experiment by German researchers demonstrates that people will refuse to turn a robot off if it begs for its life. In the study, published in the open access journal PLOS One, 89 volunteers were recruited to complete a pair of tasks with the help of Nao, a small humanoid robot. The participants were told that the tasks (which involved answering a series of either / or questions, like "Do you prefer pasta or pizza?"; and organizing a weekly schedule) were to improve Nao's learning algorithms. But this was just a cover story, and the real test came after these tasks were completed, and scientists asked participants to turn off the robot. In roughly half of experiments, the robot protested, telling participants it was afraid of the dark and even begging: "No! Please do not switch me off!" When this happened, the human volunteers were likely to refuse to turn the bot off. Of the 43 volunteers who heard Nao's pleas, 13 refused. And the remaining 30 took, on average, twice as long to comply compared to those who did not not hear the desperate cries at all.

Motorola unveiled their new flagship Moto Z3 smartphone today that's upgradeable to 5G. Like other Moto Z phones, the Z3 includes support for Moto Mods, including a new 5G Moto Mod that will let you use Verizon's mobile 5G network when it launches in 2019. The new Mod contains a Snapdragon X50 modem and 2,000mAh battery to help you stay connected to the 5G network. PhoneDog reports: The Moto Z3 is a Motorola phone that's exclusive to Verizon in the U.S. Specs for this Android 8.1-powered smartphone include a 6.01-inch 2160x1080 Super AMOLED screen and 8MP wide angle front-facing camera with f/2.0 aperture. Around back there's a dual rear camera setup with two 12MP cameras, one RGB and one monochrome, along with laser autofocus and portrait mode support. Inside the Moto Z3 lives an octa-core Snapdragon 835 processor along with 4GB of RAM, 64GB of built-in storage, and a microSD card slot. There's a 3000mAh battery and a USB-C port for recharging that battery, as well as support for Motorola's TurboPower solution to recharge in a hurry. Unfortunately, there's no 3.5mm headphone jack to be found here. All of those features are crammed into a body with a water repellent coating. Rounding things out is a side-mounted fingerprint reader and support for face unlock.

ted_pikul shares a report from Motherboard: Access to cheap electricity can make or break a cryptocurrency mining operation. The latest move in the quest for bargain-basement power rates: building out local power grids. Canadian company DMG Blockchain is building what it hopes will be a fully-functioning substation in Southern British Columbia, which is electrified by hydro power. Building the substation is costing millions of dollars and required building an access road to haul equipment. "[...] the utility will test everything as a completed substation and make sure that the town doesn't blow up when we flip the switch," Steven Eliscu of DMG Blockchain said.

The reviews for Microsoft's Surface Go tablet are in, and they're all over the place. While the press generally agrees that the processor is slow and can only handle light tasks, such as browsing and mail, there are mixed conclusions as to whether or not the 10-inch, $399 tablet is worth buying. Ars Technica's Peter Bright summarizes: So, should you buy one? That's hard to say. Mashable was a fairly unequivocal "no:" for light productivity, a Chromebook or iPad does the job for less money, and the performance is too problematic for anything much beyond that. On the other side of the coin, Windows Central reckoned that "as a mini-PC [Surface Go] is about as good as you can get," and Ed Bott said, "It's the best cheap PC I've ever used." Gizmodo called it the "perfect representation of what laptops at this price should be." For everyone else, it depends. TechCrunch says that it's worth a look, but there's no shortage of competition around this price point. Acer and Lenovo, among others, offer decent systems that are a bit cheaper. PCWorld concludes that, if you want a tablet, get an honest-to-god tablet (which is to say, an iPad) rather than a system with Windows 10. But if you want something small and light and might just need the full flexibility of a PC, Go is the system to go for. Engadget acknowledged that the Go is "full of compromises" but that, as a "secondary device," the keyboard and software compatibility give it the edge over other tablets. The Verge concludes similarly: it's "probably not the right thing to be your only computer," but it could have a "real place" as a secondary machine. And VentureBeat took a similar line: if you really want the flexibility of a two-in-one, "you're unlikely to find anything better," but if you want either a laptop or a tablet, "you'll find better options for less." As a refresher, the Surface Go features a 10-inch touchscreen display with a 1800x1200 (217 PPI) resolution and 3:2 aspect ratio, an Intel Pentium Gold 4415Y Kaby Lake processor with up to 8GB of RAM and 128GB storage via a SSD (the 64GB eMMC variant features 4GB of RAM), integrated Intel HD Graphics 615, and "up to 9 hours" of battery life. The base model is just $399, compared to the $549 model with 128GB/8GB RAM.

Yesterday, during his quarterly earnings call, Tesla CEO Elon Musk revealed a new piece of hardware that the company is working on to perform all the calculations required to advance the self-driving capabilities of its vehicles. The specialized chip, known as "Hardware 3," will be "swapped into the Model S, X, and 3," reports TechCrunch. From the report: Tesla has thus far relied on Nvidia's Drive platform. So why switch now? By building things in-house, Tesla say it's able to focus on its own needs for the sake of efficiency. "We had the benefit [...] of knowing what our neural networks look like, and what they'll look like in the future," said Pete Bannon, director of the Hardware 3 project. Bannon also noted that the hardware upgrade should start rolling out next year. "The key," adds Elon "is to be able to run the neural network at a fundamental, bare metal level. You have to do these calculations in the circuit itself, not in some sort of emulation mode, which is how a GPU or CPU would operate. You want to do a massive amount of [calculations] with the memory right there." The final outcome, according to Elon, is pretty dramatic: He says that whereas Tesla's computer vision software running on Nvidia's hardware was handling about 200 frames per second, its specialized chip is able to crunch out 2,000 frames per second "with full redundancy and failover." Plus, as AI analyst James Wang points out, it gives Tesla more control over its own future.

An anonymous reader quotes a report from VentureBeat: For the first time in seven years, Samsung and Apple have not taken the top two positions in the worldwide smartphone market. All hail Huawei. Although Samsung held onto first place -- the South Korean giant typically dominates the first three quarters of the year, with the American company winning the fourth quarter -- Huawei passed Apple for second place this part quarter. The Q2 2018 figures come from IDC (though Canalys and Strategy Analytics both agree that Huawei passed Apple in the quarter).

U.S. District Judge Robert Lasnik issued a temporary restraining order Tuesday to stop the release of blueprints to make untraceable and undetectable 3D-printed plastic guns, saying they could end up in the wrong hands. Defense Distributed reached a settlement with the federal government in late June allowing them to freely publish the 3D files. NBC News reports: "There is a possibility of irreparable harm because of the way these guns can be made," he said. Congressional Democrats have urged President Donald Trump to reverse the decision to let Defense Distributed publish the plans. Trump said Tuesday that he's "looking into" the idea, saying making 3D plastic guns available to the public "doesn't seem to make much sense!" Eight Democratic attorneys general had filed a lawsuit Monday seeking to block the federal government's settlement with Defense Distributed. They also sought the restraining order, arguing the 3D guns would be a safety risk. Earlier today, Senate Democrats introduced two bills addressing 3D-printed guns. The first bill would make it illegal to publish 3D-printed gun blueprints. The second bill would require weapons to include at least one metal component with a serial number to make them traceable. Downloads of the 3D-printed gun blueprints have been suspended until Cody Wilson [the owner of Defense Distributed] reviews Lasnik's order. It is unclear how many times the blueprints were downloaded, but some news outlets say the online manuals have been downloaded thousands of times and posted elsewhere online.

MojoKid writes from a report via Hot Hardware: Although it has been over three decades since the first Commodore Amigas were originally released, a fan base for the beloved systems is still going strong. In fact, today's Amiga community seems to be more active now that it has been in years, and a number of exciting new hardware projects have cropped up in recent weeks. Two relatively new projects, led by popular members of the Amiga community Paul Rezendes and John "Chucky" Hertell, are designed to breathe new life into the Amiga 4000 and Amiga 1200.

Both men set out to reverse engineer the motherboards for these systems, not only to continue the possibility of repairing existing machines that are prone to serious damage from leaky batteries and electrolytic capacitors, but to potentially spur additional customizations for the platform in the future. Though Paul and John have only made minor modifications to the Amiga 4000 and Amiga 1200 motherboard PCBs to this point, the possibility now also exists for all new variants to arrive at some point in the future for these machines as well. The first actual working motherboards populated with components based on the Amiga 4000 Replica project or Re-Amiga 1200 haven't been shown off just yet, and they may require additional revisions to work out any kinks. However, both projects are good examples of the passion that still remains for the beloved Amiga from computing glory days gone by.

hyperclocker shares a report: HP hopes to entice researchers with a $10,000 reward for finding vulnerabilities in printers. The tech giant revealed the new bug bounty program on Tuesday. The scheme, which is launching as a private bug bounty, is tailored specifically for HP printer hardware. While many of us use home printers simply for printing the occasional document or photo, in the enterprise, these devices are often found in a network. If there is a weak link in business networks, a single device -- whether it be a printer or smart air conditioning system -- can be exploited to compromise a wider network system.

Printers, especially if they are overlooked when it comes to firmware updates or upgrades, can become such avenues to exploit. According to research undertaken by Bugcrowd, "2018 State of Bug Bounty Report," endpoint devices are becoming a tantalizing target for threat actors, with a 21 percent increase in total endpoint bugs reported over the past 12 months. In partnership with bug bounty platform Bugcrowd, HP says it is the "only vendor" to launch a printer-only vulnerability disclosure scheme. Under the terms of the program, researchers can earn between $500 and $10,000 per legitimate find.

Kevin C. Tofel, writing for About Chromebooks: Having worked for a Google Chrome Marketing team over an 18 month period, I never saw a project that aggressively goes after Windows and Mac computers like the one that was published today [Editor's note: the video is unlisted, but accessible]. [...] As someone who has used (and often still does use) other platforms, I can't really disagree with the point of this video. For too long, computer users have had to deal with cryptic errors, updates that can take hours to install and the dreaded blue screen of death / spinning beach ball.

Granted, some of my personal experience with those issues was when I was in corporate IT for 15 years; that career ended for me (by choice) back in 2007. And clearly, all desktop / laptop platforms have improved since then. Even so, Google is highlighting the modern approach of Chromebooks with this short video and that's an important point.

Logitech announced late Monday night that it is acquiring Blue Microphones for $117 million. The company known for USB condenser microphones, such as the Snowball and Yeti, will join Logitech's existing portfolio of brands. The Verge reports: Founded in 1995, Blue sells microphones that range in price from $60 to over $4,000 (for studio-grade hardware), and they're used by podcasters, musicians, and any other consumers who need higher-fidelity audio than what they get from the built-in microphones on their devices. Now, after dropping a heap of cash on the company, Logitech will do its best to make sure Blue's devices become just as essential as its own wireless keyboards and mice. "For Logitech, this is a new space," the company wrote in a blog post. "But, at the same time, it's not at all. Gamers are already using our Logitech G webcams to stream. People are video calling with friends and family thanks to Logitech every day. And in business, our audio and video know-how is apparent every time a video meeting takes place at the office. Joining up with Blue and their microphone lines is a logical adjacent opportunity with great synergies."

An anonymous reader quotes a report from VentureBeat: In a forthcoming paper ("Dexterous In-Hand Manipulation"), OpenAI researchers describe a system that uses a reinforcement model, where the AI [known as Dactyl] learns through trial and error, to direct robot hands in grasping and manipulating objects with state-of-the-art precision. All the more impressive, it was trained entirely digitally, in a computer simulation, and wasn't provided any human demonstrations by which to learn. The researchers used the MuJoCo physics engine to simulate a physical environment in which a real robot might operate, and Unity to render images for training a computer vision model to recognize poses. But this approach had its limitations, the team writes -- the simulation was merely a "rough approximation" of the physical setup, which made it "unlikely" to produce systems that would translate well to the real world. Their solution was to randomize aspects of the environment, like its physics (friction, gravity, joint limits, object dimensions, and more) and visual appearance (lighting conditions, hand and object poses, materials, and textures). This both reduced the likelihood of overfitting -- a phenomenon that occurs when a neural network learns noise in training data, negatively affecting its performance -- and increased the chances of producing an algorithm that would successfully choose actions based on real-world fingertip positions and object poses.

Next, the researchers trained the model -- a recurrent neural network -- with 384 machines, each with 16 CPU cores, allowing them to generate roughly two years of simulated experience per hour. After optimizing it on an eight-GPU PC, they moved onto the next step: training a convolutional neural network that would predict the position and orientation of objects in the robot's "hand" from three simulated camera images. Once the models were trained, it was onto validation tests. The researchers used a Shadow Dexterous Hand, a robotic hand with five fingers with a total of 24 degrees of freedom, mounted on an aluminum frame to manipulate objects. Two sets of cameras, meanwhile -- motion capture cameras as well as RGB cameras -- served as the system's eyes, allowing it to track the objects' rotation and orientation. In the first of two tests, the algorithms were tasked with reorienting a block labeled with letters of the alphabet. The team chose a random goal, and each time the AI achieved it, they selected a new one until the robot (1) dropped the block, (2) spent more than a minute manipulating the block, or (3) reached 50 successful rotations. In the second test, the block was swapped with an octagonal prism. The result? The models not only exhibited "unprecedented" performance, but naturally discovered types of grasps observed in humans, such as tripod (a grip that uses the thumb, index finger, and middle finger), prismatic (a grip in which the thumb and finger oppose each other), and tip pinch grip. They also learned how to pivot and slide the robot hand's fingers, and how to use gravitational, translational, and torsional forces to slot the object into the desired position.

Something interesting happened in Swedish finance last quarter. The only big bank that managed to cut costs also happens to be behind one of the industry's boldest plans to replace humans with automation. From a report: Nordea Bank AB, whose Chief Executive Officer Casper von Koskull says his industry might only have half its current human workforce a decade from now, is cutting 6,000 of those jobs. Von Koskull says the adjustment is the only way to stay competitive in the future, with automation and robots taking over from people in everything from asset management to answering calls from retail clients. While many in the finance industry have struggled to digest that message, the latest set of bank results in Sweden suggests that executives in one of the planet's most technologically advanced corners are drawing inspiration from Nordea. At SEB AB, CEO Johan Torgeby now says that "whatever can be automated will be automated."

Uber is shuttering its self-driving unit, reports TechCrunch. The company will reportedly stop development of self-driving trucks and instead focus its efforts on self-driving cars. "We recently took the important step of returning to public roads in Pittsburgh, and as we look to continue that momentum, we believe having our entire team's energy and expertise focused on this effort is the best path forward," Eric Meyhofer, head of Uber Advanced Technologies Group, said in an emailed statement. From the report: Uber Freight, a business unit that helps truck drivers connect with shipping companies, is unaffected by this decision. "Rather than having two groups working side by side, focused on different vehicle platforms, I want us instead collaborating as one team, according to an email reviewed by TechCrunch that was sent by Meyhofer to employees. "I know we're all super proud of what the Trucks team has accomplished, and we continue to see the incredible promise of self-driving technology applied to moving freight across the country. But we believe delivering on self-driving for passenger applications first, and then bringing it to freight applications down the line, is the best path forward. For now, we need the focus of one team, with one clear objective." The company will pivot employees focused on self-driving trucks to other work that revolves around self-driving technology.

An anonymous reader quotes a report from Ars Technica: Twenty states announced Monday that they plan to ask a federal judge in Seattle to immediately issue a temporary restraining order against Defense Distributed, a Texas-based group that has already begun making 3D-printer gun files available on its DEFCAD website after a recent legal settlement with the US State Department. "After almost 18 months I was skeptical that there was anything else that this administration would do that would truly shock me, but they have," Washington Attorney General Bill Ferguson told reporters assembled in Olympia and by phone. "Frankly, it is terrifying... We think that it is important to put a stop to this right away and make it as difficult as humanly possible to access this information." The new lawsuit, which Ferguson explained will be filed "within hours," comes just one day after Defense Distributed voluntarily agreed to block IP addresses from Pennsylvania after that state's attorney general filed a similar motion in federal court there. "Pennsylvania is still suing and we are still responding," Defense Distributed's founder, Cody Wilson, told Ars. Preemptively on Sunday, Defense Distributed sued the attorney general of New Jersey and the city attorney of Los Angeles to stop those lawsuits, largely on First Amendment grounds.

In this new 20-state initiative, the Washington attorney general argued that the State Department settlement violated the Administrative Procedure Act and also infringed upon states' Tenth Amendment right to regulate firearms within their own states. Ferguson pointed out, for example, people convicted of domestic abuse are flagged when they attempt to legally buy a gun. Allowing anyone to download and manufacture their own gun circumvents that process, he said. But Wilson told Ars it may be too late, as the files went up last Friday evening -- days before he said he would resume publishing them on August 1.

Lubuntu, a popular Ubuntu flavor, has gained traction over the years for supporting older hardware. As Brian Fagioli writes at BetaNews, one of the focuses of the Lubuntu developers is to support aging computers. However, that is about to change. He adds: When Lubunu 18.10 is released in October 2018, it will ditch LXDE for the newer LXQt. Despite it also being a desktop environment that is easy on resources, the Lubuntu developers are planning to drop their focus on old hardware after the transition. "[...] Our main focus is shifting from providing a distribution for old hardware to a functional yet modular distribution focused on getting out of the way and letting users use their computer. In essence, this is leveraging something we have always done with Lubuntu; providing an operating system which users can use to revive their old computers, but bringing this to the age of modern computing," says Simon Quigley of Lubuntu team.

The Defense Advanced Research Projects Agency (DARPA), which funds a range of blue-sky research efforts relevant to the US military, last year launched a $1.5 billion, five-year program known as the Electronics Resurgence Initiative (ERI) to support work on advances in chip technology. It has now unveiled the first set of research teams selected to explore unproven but potentially powerful approaches that could revolutionize US chip development and manufacturing. From a report: The ERI's budget represents around a fourfold increase in DARPA's typical annual spending on hardware. Initial projects reflect the initiative's three broad areas of focus: chip design, architecture, and materials and integration. One project aims to radically reduce the time it takes to create a new chip design, from years or months to just a day, by automating the process with machine learning and other tools so that even relatively inexperienced users can create high-quality designs.

"No one yet knows how to get a new chip design completed in 24 hours safely without human intervention," says Andrew Kahng of the University of California, San Diego, who's leading one of the teams involved. "This is a fundamentally new approach we're developing." William Chappell, the head of the DARPA office that manages the ERI program, said, "We're trying to engineer the craft brewing revolution in electronics." The agency hopes that the automated design tools will inspire smaller companies without the resources of giant chip makers, just as specialized brewers in the US have innovated alongside the beer industry's giants.