An anonymous reader quotes a report from Popular Mechanics, written by Laura Rider: After four long years of planning, the world's first 3D-printed steel bridge debuted in Amsterdam last month. If it stands up to the elements, the bridge could be a blueprint for fixing our own structurally deficient infrastructure in the U.S. -- and we sorely need the help. Dutch Company MX3D built the almost 40-foot-long bridge for pedestrians and cyclists to cross the city's Oudezijds Achterburgwal canal. It relied on four robots, fit with welding torches, to 3D-print the structure. To do it, the machines laid out 10,000 pounds of steel, heated to 2,732 degrees Fahrenheit, in an intricate layering process. The result? An award-winning design, pushing the boundaries of what steel can do.

Designers first came up with the concept for the bridge in 2015, with the goal of making an exceptionally efficient structure. To do so, they had to emphasize two things: simplicity and safety. To monitor the efficiency of their design, scientists at Imperial College London engineered the bridge to be a "living laboratory." A team of structural engineers, computer scientists, and statisticians developed a system of over one dozen embedded sensors for the bridge, which send live data to the university for further analysis of the bridge's performance. They monitor the bridge's movement, vibration, temperature, strain (the change in shape and size of materials under applied forces), and displacement (the amount an object shifts in a specific direction) over time. From that data, scientists built a "digital twin" -- computer science parlance for an identical, virtual rendering -- of the bridge that gets more accurate over time. With machine learning, they can now look for trends that might suggest modifications are in order.

For this bridge, designers utilized two methods of 3D printing -- Direct Energy Deposit (DED) and Powder Bed Fusion (PBF). With DED, the printer feeds material (typically in powder or wire form) through a pen-like nozzle, and an intense heat source (typically a laser, but sometimes an electron beam) melts the metal on contact. PBF works similarly in that a laser or electron beam melts powder down to build each layer. The main advantage of PBF, though, is that it operates with much smaller (and more expensive) parts, resulting in a higher-resolution project than DED could accomplish on its own. This allows designers to take their visions a step further.

According to analysts at Canalys, the PC market in the United States is booming. Sales in Q2 2021 have grown 17% with 36.8 million units shipped. "Notebooks and desktops led the way with a growth in shipments of 27% and 23% respectively compared to last year," reports ZDNet. From the report: HP was the leading company in the US, delivering more than 8 million devices to customers and dominating the Chromebook sector with a 42% market share. Apple suffered a 3% decline in devices shipped but still held on to the second place slot behind HP. Canalys noted that Apple was the only major PC manufacturer to see negative growth in Q2, due in no small part to waning consumer interest in iPads, according to the report. The company did see a 24% increase in notebook shipments thanks to recent success with the M1 chip.

The rest of the list is rounded out by Samsung, which saw a 51% growth in shipments year over year while Lenovo and Dell posted 25% and 11% growth respectively in Q2. Canalys attributed Lenovo's success to its growing influence over the Chromebook market while Samsung solidified its place in the tablet market, seeing a growth of 19% in the US for Q2 even as the overall tablet market shrank. [Tablet shipments were down 1% in Q2.] Following a spike in tablet interest in Q2 2020, there has been a slowdown as the COVID-19 pandemic has waned and more people spent the summer outdoors.

An anonymous reader quotes a report from Ars Technica, written by Tim De Chant: GM announced last Friday that it was recalling every Chevrolet Bolt it had ever made, including the new electric utility vehicle model that debuted this year. After a string of fires affected Bolt models, the company traced the problem to two simultaneously occurring defects in the cars' LG Chem-made batteries. The automaker initially discovered the problem in batteries from one of LG's Korean plants, and it recalled cars with those cells last November. But then more Bolts caught fire, and other LG plants were ensnared in the investigation, spurring two expansions of the recall. The problem, GM said, has been traced to a torn anode tab and a folded separator.

That's all GM has said so far. It hasn't said how widespread the defects are, nor has it said how, exactly, the fires started. But in what little information has been released, and in the timing of GM's recalls, there are clues. To decipher them, Ars spoke with Greg Less, technical director of the University of Michigan's Battery Lab. "What we're looking at is a perfect storm," Less said. The Bolt's battery packs are made up of pouch-type cells, which are essentially layers of cathodes, anodes, and separators that are flooded with liquid electrolyte and encased in a flexible polymer pouch. The torn anode tab, he said, would create a projection in what should be an otherwise flat battery. The projection brings the anode closer to the cathode. "And that would probably be OK if the separator was where it was supposed to be," he said.

But in problematic Bolt batteries, the separator wasn't where it was supposed to be. Separators are placed between the anode and cathode to prevent the two electrodes from touching. A torn tab wouldn't necessarily be an issue on its own because the separator would prevent any projection from bridging the anode-cathode gap. In cells with a folded separator, though, the gap would be missing from at least part of the battery. If the anode bridges the gap, Less said, "you have a short, and it's all downhill from there." "It wouldn't surprise me if both defects are caused by the same thing," he added. "I would imagine that the separator must be folded at the edge near where the anode tab is at. What I'm guessing is that at some point during the handling of the cell, before it's fully packaged, some part of the robot machine is catching. The tab is catching, the separator is catching -- something is catching very infrequently so that it hasn't been noticed, and it's causing this damage."

Western Digital is in advanced talks for a potential $20 billion stock merger with Japanese semiconductor firm Kioxia Holdings, the Wall Street Journal reported on Wednesday, citing people familiar with the matter. Reuters: The companies could reach an agreement as early as mid-September, and Western Digital Chief Executive Officer David Goeckeler would run the combined firm, the report said. The news sent Western Digital's shares up as much as 15% in afternoon trading to a market cap of $21.45 billion. Kioxia Holdings, the world's second-largest maker of flash memory chips, last year shelved plans for what would have been Japan's largest initial public offering in 2020. In June, however, financial magazine Diamond said the company was planning an IPO as early as September.

Scientists in Germany have developed what they say is the smallest microsupercapacitor in existence. It's smaller than a speck of dust, safe for use in the human body, and can deliver similar voltage to a AAA battery. Prior to this breakthrough, the smallest "biosupercapacitors" developed to date were 3mm^3. New Atlas reports: The construction starts with a stack of polymeric layers that are sandwiched together with a light-sensitive photo-resist material that acts as the current collector, a separator membrane, and electrodes made from an electrically conductive biocompatible polymer called PEDOT:PSS. This stack is placed on a wafer-thin surface that is subjected to high mechanical tension, which causes the various layers to detach in a highly controlled fashion and fold up origami-style into a nano-biosupercapacitor with a volume 0.001 mm^3, occupying less space than a grain of dust. These tubular biosupercapacitors are therefore 3,000 times smaller than those developed previously, but with a voltage roughly the same as an AAA battery (albeit with far lower actual current flow).

These tiny devices were then placed in saline, blood plasma and blood, where they demonstrated an ability to successfully store energy. The biosupercapacitor proved particularly effective in blood, where it retained up to 70 percent of its capacity after 16 hours of operation. Another reason blood may be a suitable home for the team's biosupercapacitor is that the device works with inherent redox enzymatic reactions and living cells in the solution to supercharge its own charge storage reactions, boosting its performance by 40 percent. The team also subjected the device to the forces it might experience in blood vessels where flow and pressure fluctuate, by placing them in microfluidic channels, kind of like wind-tunnel testing for aerodynamics, where it stood up well. They also used three of the devices chained together to successfully power a tiny pH sensor, which could be placed in the blood vessels to measure pH and detect abnormalities that could be indicative of disease, such as a tumor growth. The findings have been published in the journal Nature Communications.

The US Patent and Trademark Office has granted a patent to Apple for a dual-display MacBook with a virtual keyboard replacing the traditional keyboard and with the ability to wirelessly charge an iPhone. 9to5Mac reports: As reported by Patently Apple, this patent was submitted three years ago, and only now has Apple won it. With this patent, the company could take a radical path and get rid of a physical keyboard. The interesting thing about this application is that while rumors suggest that Apple will remove the only touchable interface on the MacBook Pro, the Touch Bar, this patent imagines a MacBook with no physical keyboard at all. Patently Apple says this virtual keyboard could be rearranged, swapping the position of the virtual keyboard and trackpad. With a virtual keyboard, Apple could bring gestures from iOS and iPadOS as well, such as pinch, zoom, slide to select, and more. In the patent, Apple says this MacBook includes biometric sensors, which we could interpret as Face ID, fingerprint sensors (aka Touch ID), and a wireless charger, which would be in the left down corner of the notebook.

An anonymous reader quotes a report from CNBC, written by Sam Shead: German technology and engineering group Bosch, which is the world's largest car-parts supplier, believes semiconductor supply chains in the automotive industry are no longer fit for purpose as the global chip shortage rages on. Harald Kroeger, a member of the Bosch management board, told CNBC's Annette Weisbach in an exclusive interview Monday that supply chains have buckled in the last year as demand for chips in everything from cars to PlayStation 5s and electric toothbrushes has surged worldwide. Coinciding with the surge in demand, several key semiconductor manufacturing sites were forced to halt production, Kroeger said.

In February, a winter storm in Texas caused blackouts at NXP Semiconductors, which is a major provider of automotive and mobile phone chips. In March, there was a fire at a semiconductor plant in Japan operated by Renesas, one of the car industry's biggest chip suppliers. In August, factories in Malaysia have been abandoned as national lockdowns were introduced to reduce the spread of the coronavirus. Volkswagen and BMW cut their production as they struggled to get the chips they needed to build their cars. These companies and semiconductor suppliers should now be looking to figure out how the chip supply chain can be improved, Kroeger said.

"As a team, we need to sit together and ask, for the future operating system is there a better way to have longer lead times," he said. "I think what we need is more stock on some parts [of the supply chain] because some of those semiconductors need six months to be produced. You cannot run on a system [where] every two weeks you get an order. That doesn't work." Semiconductor supply chain issues have been quietly managed by the automotive in the past but now is a time for change, according to Kroeger, who believes demand is only going to increase with the rise of electric vehicles and autonomous vehicles. "Every car that gets smarter needs more semiconductors," Kroeger said. Electric cars need very powerful and efficient semiconductors in order to to get more range out of each kilowatt hour of battery, he added. Kroeger said he expects the chip shortage to extend "way into 2022" adding that he hopes demand remains stable. "We need to ramp up supplies so we can fulfill that demand," he said.

China's MingYang Smart Energy has announced an offshore wind turbine even bigger than GE's monstrous Haliade-X. From a report: The MySE 16.0-242 is a 16-megawatt, 242-meter-tall (794-ft) behemoth capable of powering 20,000 homes per unit over a 25-year service life. The stats on these renewable-energy colossi are getting pretty crazy. When MingYang's new turbine first spins up in prototype form next year, its three 118-m (387-ft) blades will sweep a 46,000-sq-m (495,140-sq-ft) area bigger than six soccer fields. Every year, each one expected to generate 80 GWh of electricity. That's 45 percent more than the company's MySE 11.0-203, from just a 19 percent increase in diameter. No wonder these things keep getting bigger; the bigger they get, the better they seem to work, and the fewer expensive installation projects need to be undertaken to develop the same capacity.

At its annual Architecture Day semiconductor event Thursday, Intel revealed new details about its powerful Ponte Vecchio chip for data centers, reports SiliconANGLE: Intel is looking to take on Nvidia Corp. in the AI silicon market with Ponte Vecchio, which the company describes as its most complex system-on-chip or SOC to date. Ponte Vecchio features some 100 billion transistors, nearly twice as many as Nvidia's flagship A100 data center graphics processing unit. The chip's 100 billion transistors are divided among no fewer than 47 individual processing modules made using five different manufacturing processes. Normally, an SOC's processing modules are arranged side by side in a flat two-dimensional design. Ponte Vecchio, however, stacks the modules on one another in a vertical, three-dimensional structure created using Intel's Foveros technology.

The bulk of Ponte Vecchio's processing power comes from a set of modules aptly called the Compute Tiles. Each Compute Tile has eight Xe cores, GPU cores specifically optimized to run AI workloads. Every Xe core, in turn, consists of eight vector engines and eight matrix engines, processing modules specifically built to run the narrow set of mathematical operations that AI models use to turn data into insights... Intel shared early performance data about the chip in conjunction with the release of the technical details. According to the company, early Ponte Vecchio silicon has demonstrated performance of more than 45 teraflops, or about 45 trillion operations per second.
The article adds that it achieved those speeds while processing 32-bit single-precision floating-point values floating point values — and that at least one customer has already signed up to use Ponte Vecchio. The Argonne National Laboratory will include Ponte Vecchio chips in its upcoming $500 million Aurora supercomputer. Aurora will provide one exaflop of performance when it becomes fully operational, the equivalent of a quintillion calculations per second.

The New Yorker looks at Cerebras, a startup which has raised nearly half a billion dollars to build massive plate-sized chips targeted at AI applications — the largest computer chip in the world. In the end, said Cerebras's co-founder Andrew Feldman, the mega-chip design offers several advantages. Cores communicate faster when they're on the same chip: instead of being spread around a room, the computer's brain is now in a single skull. Big chips handle memory better, too. Typically, a small chip that's ready to process a file must first fetch it from a shared memory chip located elsewhere on its circuit board; only the most frequently used data might be cached closer to home...

A typical, large computer chip might draw three hundred and fifty watts of power, but Cerebras's giant chip draws fifteen kilowatts — enough to run a small house. "Nobody ever delivered that much power to a chip," Feldman said. "Nobody ever had to cool a chip like that." In the end, three-quarters of the CS-1, the computer that Cerebras built around its WSE-1 chip, is dedicated to preventing the motherboard from melting. Most computers use fans to blow cool air over their processors, but the CS-1 uses water, which conducts heat better; connected to piping and sitting atop the silicon is a water-cooled plate, made of a custom copper alloy that won't expand too much when warmed, and polished to perfection so as not to scratch the chip. On most chips, data and power flow in through wires at the edges, in roughly the same way that they arrive at a suburban house; for the more metropolitan Wafer-Scale Engines, they needed to come in perpendicularly, from below. The engineers had to invent a new connecting material that could withstand the heat and stress of the mega-chip environment. "That took us more than a year," Feldman said...

[I]n a rack in a data center, it takes up the same space as fifteen of the pizza-box-size machines powered by G.P.U.s. Custom-built machine-learning software works to assign tasks to the chip in the most efficient way possible, and even distributes work in order to prevent cold spots, so that the wafer doesn't crack.... According to Cerebras, the CS-1 is being used in several world-class labs — including the Lawrence Livermore National Laboratory, the Pittsburgh Supercomputing Center, and E.P.C.C., the supercomputing centre at the University of Edinburgh — as well as by pharmaceutical companies, industrial firms, and "military and intelligence customers." Earlier this year, in a blog post, an engineer at the pharmaceutical company AstraZeneca wrote that it had used a CS-1 to train a neural network that could extract information from research papers; the computer performed in two days what would take "a large cluster of G.P.U.s" two weeks.

The U.S. National Energy Technology Laboratory reported that its CS-1 solved a system of equations more than two hundred times faster than its supercomputer, while using "a fraction" of the power consumption. "To our knowledge, this is the first ever system capable of faster-than real-time simulation of millions of cells in realistic fluid-dynamics models," the researchers wrote. They concluded that, because of scaling inefficiencies, there could be no version of their supercomputer big enough to beat the CS-1.... Bronis de Supinski, the C.T.O. for Livermore Computing, told me that, in initial tests, the CS-1 had run neural networks about five times as fast per transistor as a cluster of G.P.U.s, and had accelerated network training even more.
It all suggests one possible work-around for Moore's Law: optimizing chips for specific applications. "For now," Feldman tells the New Yorker, "progress will come through specialization."

Remember that study that found that "blue" hydrogen (produced from natural gas using a carbon-capture technique) may be worse for the planet than coal?

"That study was apparently a tipping point for Chris Jackson, who this week stepped down as chair of the UK Hydrogen and Fuel Cell Association..." reports Ars Technica. Jackson wrote in a LinkedIn post announcing his resignation, "while there might not be a single 'right' answer, there are answers that are wrong." Jackson continues by saying that blue hydrogen is "at best an expensive distraction, and at worst a lock-in for continued fossil fuel use" which would derail goals that the country and the world have set for decarbonizing the economy. He takes particular issue with the fact that oil and gas companies have asked the UK government for decades of subsidies while also claiming that blue hydrogen will be inexpensive to produce. "If the false claims made by oil companies about the cost of blue hydrogen were true, their projects would make a profit by 2030," he told The Guardian. "Instead, they're asking taxpayers for billions in subsidies for the next 25 years. They should tell the government they don't need it. The fact that they don't tells you everything you need to know."

Tom's Hardware reports: Based on revenue, Samsung Electronics has reclaimed the number one semiconductor manufacturer spot on the back of a strong Q2 2021, according to the latest IC Insight's The McClean Report, which investigates the state of the semiconductor industry in several areas.

The South Korean company achieved a 19 percent increase in overall IC sales compared to Q1 2021, bringing in a total of $20.29 billion in the April-June period alone... On the other hand, Intel achieved a smaller three percent QoQ (Quarter-over-Quarter) increase that resulted in a cool $19.3 billion in chip sales. For reference, AMD, which is generally considered to have a competitive CPU portfolio compared to Intel, brought in a comparatively measly $3.85 billion...

According to the present-day report, Samsung has achieved the top spot mainly due to ascending ASP (Average Sale Price) of NAND and DRAM, with the latter being a significant high-volume advantage over Intel, which doesn't produce RAM. Samsung had last been the top manufacturer back in Q3 2018 — again on the back of strong NAND and DRAM results in the midst of a market shortage.

"In the long-running TV show Doctor Who, aliens known as time lords derived their power from the captured heart of a black hole, which provided energy for their planet and time travel technology," writes Science magazine.

"The idea has merit, according to a new study."

Slashdot reader sciencehabit quotes their report: Researchers have shown that highly advanced alien civilizations could theoretically build megastructures called Dyson spheres around black holes to harness their energy, which can be 100,000 times that of our Sun. The work could even give us a way to detect the existence of these extraterrestrial societies...

Black holes are typically thought of as consumers rather than producers of energy. Yet their huge gravitational fields can generate power through several theoretical processes. These include the radiation emitted from the accumulation of gas around the hole, the spinning "accretion" disk of matter slowly falling toward the event horizon, the relativistic jets of matter and energy that shoot out along the hole's axis of rotation, and Hawking radiation—a theoretical way that black holes can lose mass, releasing energy in the process.

From their calculations, researchers concluded that the accretion disk, surrounding gas, and jets of black holes can all serve as viable energy sources. In fact, the energy from the accretion disk alone of a stellar black hole of 20 solar masses could provide the same amount of power as Dyson spheres around 100,000 stars, the team will report next month in the Monthly Notices of the Royal Astronomical Society. Were a supermassive black hole harnessed, the energy it could provide might be 1 million times larger still.

If such technology is at work, there may be a way to spot it. According to the researchers, the waste heat signal from a so-called "hot" Dyson sphere—one somehow capable of surviving temperatures in excess of 3000 kelvin, above the melting point of known metals—around a stellar mass black hole in the Milky Way would be detectible at ultraviolet wavelengths. Such signals might be found in the data from various telescopes, including NASA's Hubble Space Telescope and Galaxy Evolution Explorer.

In November GM recalled 69,000 of its "Bolt" electric cars after five reported fires and two minor injuries. Last month they issued a second recall "after at least two of the electric vehicles that were repaired for a previous problem erupted into flames," CNBC reported.

And then Friday the company expanded that recall "due to potential fire risk." The recall expansion is expected to cost the automaker an additional $1 billion, bringing the total to $1.8 billion to replace potentially defective battery modules in the vehicles. GM said about 73,000 vehicles in the U.S. and Canada are being added to the recall from the 2019-2022 model years, including a recently launched larger version of the car called the Bolt EUV...

The expanded recall now includes all Bolt EV models ever produced, casting a shadow over GM's first mainstream electric vehicle, as it attempts to transition to exclusively sell EVs by 2035...

The expansion follows the companies finding that the batteries for these vehicles may have two manufacturing defects — a torn anode tab and folded separator — present in the same battery cell, which increases the risk of fire. GM has confirmed one fire in the new population of recalled vehicles. That's in addition to at least nine previous confirmed fires in the first round of vehicles that were recalled.

New submitter Darth Technoid shares a report from Electrek: At its AI Day, Tesla unveiled its Dojo supercomputer technology while flexing its growing in-house chip design talent. The automaker claims to have developed the fastest AI training machine in the world. For years now, Tesla has been teasing the development of a new supercomputer in-house optimized for neural net video training. Tesla is handling an insane amount of video data from its fleet of over 1 million vehicles, which it uses to train its neural nets.

The automaker found itself unsatisfied with current hardware options to train its computer vision neural nets and believed it could do better internally. Over the last two years, CEO Elon Musk has been teasing the development of Tesla's own supercomputer called "Dojo." Last year, he even teased that Tesla's Dojo would have a capacity of over an exaflop, which is one quintillion (1018) floating-point operations per second, or 1,000 petaFLOPS. It could potentially makes Dojo the new most powerful supercomputer in the world.

Ganesh Venkataramanan, Tesla's senior director of Autopilot hardware and the leader of the Dojo project, led the presentation. The engineer started by unveiling Dojo's D1 chip, which is using 7 nanometer technology and delivers breakthrough bandwidth and compute performance. Tesla designed the chip to "seamlessly connect without any glue to each other," and the automaker took advantage of that by connecting 500,000 nodes together. It adds the interface, power, and thermal management, and it results in what it calls a training tile. The result is a 9 PFlops training tile with 36TB per second of bandwight in a less than 1 cubic foot format. But now it still has to form a compute cluster using those training tiles in order to truly build the first Dojo supercomputer. Tesla hasn't put that system together yet, but CEO Elon Musk claimed that it will be operational next year.

silverjacket writes: A feature article at The New Yorker: 'A typical computer chip is the size of a fingernail. Cerebras's is the size of a dinner plate. It is the largest computer chip in the world.' An excerpt from the story: Even competitors find this feat impressive. "It's all new science," Nigel Toon, the C.E.O. and co-founder of Graphcore, told me. "It's an incredible piece of engineering -- a tour de force." At the same time, another engineer I spoke with described it, somewhat defensively, as a science project -- bigness for bigness's sake. Companies have tried to build mega-chips in the past and failed; Cerebras's plan amounted to a bet that surmounting the engineering challenges would be possible, and worth it. "To be totally honest with you, for me, ignorance was an advantage," Vishra said. "I don't know that, if I'd understood how difficult it was going to be to do what they did, I would have had the guts to invest."

At Tesla's AI Day event, Elon Musk revealed a humanoid robot called Tesla Bot that utilizes the same artificial intelligence that powers the company's autonomous vehicles. CNET reports: Musk revealed few details about the Slenderman-looking Tesla Bot outside of a few PowerPoint slides but reiterated some of his beliefs about human labor. "They can use all of the same tools that we use in the car," Musk noted, suggesting the robot could be told to "go to the store and get ... the following groceries." A prototype would likely be ready next year, Musk said. "It's intended to be friendly," Musk joked, "and navigate through a world built for humans."

Intel has spent much of 2021 announcing plans for its future: a new IDM 2.0 strategy, new naming schemes for its process nodes, and new desktop GPUs. At Intel's Architecture Day 2021, we finally got a preview of how some of those changes are coming together in new chips, starting with the upcoming Alder Lake lineup later this year. From a report: As the company has been teasing since last year's Architecture Day, Alder Lake will feature Intel's latest hybrid architecture: instead of simply offering the next generation of powerful Intel CPU cores, it'll offer a mix of both performance and efficiency x86 cores, both of which Intel previewed as part of its announcements. Additionally, Alder Lake will be the first chip released on Intel's newly renamed Intel 7 technology node (not to be confused with Intel 4, which was previously known as Intel's delayed 7nm node, and will be available to consumers sometime in 2023 under the codename "Meteor Lake"). Intel 7 still uses similar technology to the company's current 10nm tech, instead of the bigger leap in manufacturing processes planned for Intel 4.

The new x86 performance core -- codenamed "Golden Cove" -- is the successor to the Willow Cove cores that are currently found in the company's 11th Gen Tiger Lake processors. Intel claims that it's the most powerful CPU core its ever built, but the company only offered a comparison to its Cypress Cove cores (the version of its 10nm architecture that Intel ported to its 14nm process), not the more advanced Willow Cove cores. Meanwhile, the company's new x86 Efficient core (codenamed "Gracemont") aims to be "the world's most efficient x86 CPU core" while still offering higher IPC than the company's Skylake chips. Intel claims that for single-thread cases, one of its new efficient cores hits 40 percent more performance at the same power (or similar performance while using 40 percent of the power) of a Skylake core, improvements that double when comparing four Efficient cores running four threads to two Skylake cores running four threads.

More owners of the first-generation Nest Hub are receiving the update to Google's Fuchsia operating system as it expands beyond the Preview program. 9to5Google reports: Back in May, Google formally released Fuchsia, its effort to develop a "not Linux" operating system from scratch, which has been years in the making. The first device to receive the new OS was Google's 2018 smart display, the Nest Hub -- not to be confused with the second generation Nest Hub with sleep tracking released earlier this year -- taking it permanently off of the existing Linux based "Cast OS" without negatively affecting the UI or experience. At the time, the rollout of Fuchsia was limited to a select few devices that were enrolled in the "Preview program" available to all devices via the Google Home app. Over time, the number of Nest Hubs running Fuchsia was expanded, with Google no doubt watching carefully for any issues with the upgrade.

Late last week, Google updated a support page to reflect that the Nest Hub has received a new firmware update for both the Preview program and all other devices. Specifically, the first-gen Nest Hub is now receiving firmware version 1.52.260996. Google confirmed to us that this update does indeed include the upgrade to Fuchsia. All goes well, this means in a matter of days, all first-gen Nest Hub devices in households around the world should be running Fuchsia.

In a statement to CRN, Intel said it was "winding down" RealSense and transferring the talent and computer vision tech to efforts that "better support" its core chip businesses. Engadget reports: Questions surfaced about the fate of RealSense after the team's leader, Sagi Ben Moshe, said he was leaving Intel two weeks ago. RealSense aimed to make computer vision more flexible and accessible. A company or researcher could buy cameras to aid everything from robot navigation through to facial recognition, and there was even a developer-focused phone. It was never a truly mainstream product, though, and ASI VP Kent Tibbils told CRN that there were few customers buying RealSense cameras in any significant quantities. It wasn't really a money-making division, even if the work helped Intel's other teams.

For Intel, there's likely a simpler answer: it wants to cut ballast. CEO Pat Gelsinger wants Intel to reclaim the chipmaking crown, and that means concentrating its resources on design and manufacturing capabilities. No matter how successful RealSense is, it's a potential distraction from Intel's latest strategy.