Remember that electric car project that Dyson finally cancelled in October? It would've had a top speed of 125 miles per hour, going from 0 to 60 in 4.8 seconds, and "would have been able to go 600 miles on a single charge," reports Digital Trends, citing Sir Dyson's new interview with the Sunday Times: In comparison, Tesla's Model S is rated with a 391-mile range, while the Model X, which more closely resembles Dyson's vehicle, is rated with a 351-mile range, according to Tesla's website. The feat would have been made possible through Dyson's solid-state batteries, which would be able to endure "a freezing February night, on the naughty side of 70 mph on the motorway, with the heater on and the radio at full blast" without any decline in performance.

Sir Dyson, who also revealed that the electric SUV's dashboard "floats in front of your face like a hologram," confirmed that he was able to drive a prototype in a screened-off compound. However, each sale of the vehicle would have needed to make at least £150,000, or about $181,000, to break even, a figure that was too high for a company that only had experience in home appliances.
The article points out that Sir Dyson is open to bringing their solid-state battery technology to other carmakers, "so electric vehicles with a 600-mile range is still a possibility in the future."

"If certain businesses — say, the next generation of meat plants — can't reopen safely and profitably with humans, they can and should do so with robots," argued a recent Bloomberg column titled "Let's make a deal with our robot overlords." [Alternate source]

The column posits that right now some jobs "just aren't good enough to protect." Until now, among the biggest obstacles was the transition cost of going from badly paid humans to machines. But if companies disrupt their workflow by actually shutting down production to save lives (as they should), then they will have paid much of the cost... People will probably welcome the brave new world, particularly if it's more hygienic... I confess I'd prefer a self-cleaning, self-driving car so I don't have to share space with a human driver, for both our sakes...

[W]hat will happen to the enormous jobless underclass that such an accelerated shift to automation will create? This is where I think the sheer magnitude of the coronavirus crisis might actually help, for three reasons. First, when so many people are suddenly and violently thrown out of work at the same time, it creates a sense of solidarity that a slow, insidious process such as offshoring does not. Second, the jobless are not perceived, and do not perceive themselves, as at fault for their predicament. This is a natural disaster, beyond their control... Third, and perhaps most important, real change will look newly possible in light of the unprecedented measures the government has already taken to combat the crisis...

[I]f the winners of the AI revolution want to avoid the business disruption of an actual revolution, they should be prepared to negotiate a new and very different deal.

An anonymous reader quotes Forbes: In a new report, research firm Gartner says it thinks global tech spending will drop 8% in 2020 based on what it is hearing from tech suppliers and other sources. It's forecasting that $3.46 trillion will be spent on IT products and services this year by businesses and consumers, down from $3.76 trillion in 2019. Gartner's estimate is the latest in a series of predictions by research firms that have become more and more pessimistic as the crisis has deepened. Last month, Enterprise Technology Research, which regularly polls IT leaders about their spending intentions, came up with a forecast suggesting a drop of around 5% in global spend for 2020...

While some companies are cutting big IT projects altogether, others are ploughing ahead but delaying some elements of their plans to save money... The research firm, which isn't betting on a rapid V-shaped economic recovery, reckons IT spending in some of the worst hit sectors such as airlines and hotels could take more than three years to rebound to 2019 levels.

Although Gartner expects all of the major categories of IT investment to drop sharply this year...spending in some sub-categories could still soar as companies accelerate digital transformation strategies. Cloud computing is a good example: Gartner expects money spent on public cloud services to rise by 19%. "Companies have to be more digital than they had planned to be," says John-David Lovelock, Gartner's chief forecaster. Software that automates processes is also likely to benefit as executives push hard for greater efficiencies. A survey of 867 finance chiefs across 24 countries and territories conducted in early May by consulting firm PwC found that almost half of the CFOs expected to increase automation of operations...

paulbsch shares a report from Electrek: A source familiar with the matter told Electrek that Tesla has chosen Austin, Texas for its next factory and it's going to happen quickly. According to a reliable source familiar with the matter, Tesla CEO Elon Musk is set on bringing the next Tesla Gigafactory, or now Terafactory, to Austin, Texas, or at least close to the city. The people familiar with the project said that Musk has tasked the engineering team working at Gigafactory Nevada to start the process for the new factory, which is expected to make the Tesla Cybertruck electric pickup truck and the Model Y. Tesla's CEO also reportedly wants to move extremely fast.

We are told that the decision for the site is not set in stone since Tesla was apparently given a few options in the greater Austin area, but Musk is said to want to start construction extremely soon and aims to have Model Y vehicles coming out of the plant by the end of the year. It would be an even more aggressive timeline than Gigafactory Shanghai. However, we are told that Tesla would aim to only have a general assembly line ready on that timeline and it would keep building the factory around the first phase in order to increase production capacity of different parts next year. By late next year, the new Texas factory would be producing Tesla's new Cybertruck electric pickup.

Long time reader schwit1 shares a report: At the ACM/IEEE International Conference on Human-Robot Interaction (HRI 2020), researchers at Yale University's Social Robotics Lab led by Brian Scassellati presented a paper taking the first step towards determining whether dogs, which are incredibly good at understanding social behaviors in humans, see human-ish robots as agents -- or more specifically, whether dogs see robots more like humans (which they obey), or more like speaker systems (which they don't). The background research on dog-robot interaction that forms the basis for this work is incredibly interesting. The paper is absolutely worth reading in its entirety, but here are a few nuggets of prior work that should help you understand how dogs interact with non-human animated objects:

"Pongracz et. al tested whether dogs followed commands from their guardians with various levels of embodiment. The guardians may be present in the same room as the dogs (i.e., 3D condition), or interacted with the dogs via live-stream life-size interactive videos (i.e., 2D condition), or interacted with the dogs with only their voices came out of a loudspeaker (i.e., 0D condition). Dogs followed the commands most reliably in the 3D condition. They followed the commands least consistently in the 0D condition, and their performances were between 3D and 0D condition in the 2D condition.

Lakatos et. al conducted a study to test how dogs responded to the pointing cues given by a PeopleBot with customized arms. The PeopleBot either exhibited human-like behaviors or no social behaviors, depending on the condition. A dog participant observed the robot interacting with the guardian either socially or mechanically for six minutes in the interaction phase. The robot then delivered a food reward for the dog. In the subsequent testing phase, the robot pointed to one of the two buckets with hidden food rewards. In the testing phase, dogs performed better in the condition with a social robot than with a nonsocial robot. However, no evidence suggested the mean performance with the social robot was significantly different from 50 percent, which is the chance level in two-choice tasks. Therefore, the dogs did not consistently follow the pointing cues provided by the social robot, even though dogs in general follow human pointing cues well."

Electric car maker Tesla plans to introduce a new low-cost, long-life battery in its Model 3 sedan in China later this year or early next that it expects will bring the cost of electric vehicles in line with gasoline models, and allow EV batteries to have second and third lives in the electric power grid. Reuters reports: For months, Tesla Chief Executive Elon Musk has been teasing investors, and rivals, with promises to reveal significant advances in battery technology during a "Battery Day" in late May. New, low-cost batteries designed to last for a million miles of use and enable electric Teslas to sell profitably for the same price or less than a gasoline vehicle are just part of Musk's agenda.

With a global fleet of more than 1 million electric vehicles that are capable of connecting to and sharing power with the grid, Tesla's goal is to achieve the status of a power company, competing with such traditional energy providers as Pacific Gas & Electric and Tokyo Electric Power. The new "million mile" battery at the center of Tesla's strategy was jointly developed with China's Contemporary Amperex Technology Ltd and deploys technology developed by Tesla in collaboration with a team of academic battery experts recruited by Musk. Eventually, improved versions of the battery, with greater energy density and storage capacity and even lower cost, will be introduced in additional Tesla vehicles in other markets, including North America. Tesla's plan to launch the new battery first in China and its broader strategy to reposition the company have not previously been reported. "Tesla's new batteries will rely on innovations such as low-cobalt and cobalt-free battery chemistries, and the use of chemical additives, materials and coatings that will reduce internal stress and enable batteries to store more energy for longer periods," the report adds. The company is also employing new high-speed, heavily automated battery manufacturing processes to reduce labor costs and increase production. According to the report, Tesla will produce the new batteries "in massive 'terafactories' about 30 times the size of the company's sprawling Nevada 'gigafactory.'"

Finally, in addition to improving the recycling and recovery of expensive metals, Tesla is working on new "second life" applications of electric vehicle batteries in grid storage systems. "The automaker also has said it wants to supply electricity to consumers and businesses, but has not provided details," Reuters reports.

Apple has purchased virtual reality company NextVR, Apple confirmed to CNBC. From the report: The purchase is further evidence of Apple's plans to enter virtual reality and related augmented reality technologies as a new product category, although the company has not announced firm plans or a new hardware product, aside from AR software for iPhones. An Apple spokesperson provided the the company's boilerplate statement when it makes an acquisition: "Apple buys smaller technology companies from time to time, and we generally do not discuss our purpose or plans," the spokesperson said.

The Newport Beach, California startup previously focused on broadcasting and producing live and recorded events in virtual reality, like sporting events and concerts. The company had a deal with the NBA to broadcast virtual reality highlights of the 2019 NBA Finals, for example. Apple did not specify a price or terms for the transaction, but 9to5Mac, an Apple-focused website that first broke the news, estimates the transaction to be worth $100 million.

MojoKid writes: NVIDIA CEO Jensen Huang unveiled the company's new Ampere A100 GPU architecture for machine learning and HPC markets today. Jensen claims the 54B transistor A100 is the biggest, most powerful GPU NVIDIA has ever made, and it's also the largest chip ever produced on 7nm semiconductor process. There are a total of 6,912 FP32 CUDA cores, 432 Tensor cores, and 108 SMs (Streaming Multiprocessors) in the A100, paired to 40GB of HBM2e memory with maximum memory bandwidth of 1.6TB/sec. FP32 compute comes in at a staggering 19.5 TLFLOPs, compared to 16.4 TFLOPs for NVIDIA's previous gen Tesla V100. In addition, its Tensor Cores employ FP32 precision that allows for a 20x uplift in AI performance gen-over-gen. When it comes to FP64 performance, these Tensor Cores also provide a 2.5x performance boost, versus its predecessor, Volta. Additional features include Multi-Instance GPU, aka MIG, which allows an A100 GPU to be sliced up into up to seven discrete instances, so it can be provisioned for multiple discrete specialized workloads. Mulitple A100 GPUs will also make their way into NVIDIA's third-generation DGX AI supercomputer that packs a whopping 5 PFLOPs of AI performance. According to NVIDIA, its Ampere-based A100 GPU and DGX AI systems are already in full production and shipping to customers now. Gamers are of course looking forward to what the company has in store with Ampere for the enthusiast PC market, as expectations for its rumored GeForce RTX 30 family are incredibly high.

The United States is on track to produce more electricity this year from renewable power than from coal for the first time on record, new government projections show, a transformation partly driven by the coronavirus pandemic, with profound implications in the fight against climate change. From a report: It is a milestone that seemed all but unthinkable a decade ago, when coal was so dominant that it provided nearly half the nation's electricity. And it comes despite the Trump administration's three-year push to try to revive the ailing industry by weakening pollution rules on coal-burning power plants. Those efforts, however, failed to halt the powerful economic forces that have led electric utilities to retire hundreds of aging coal plants since 2010 and run their remaining plants less frequently.

The cost of building large wind farms has declined more than 40 percent in that time, while solar costs have dropped more than 80 percent. And the price of natural gas, a cleaner-burning alternative to coal, has fallen to historic lows as a result of the fracking boom. Now the coronavirus outbreak is pushing coal producers into their deepest crisis yet. As factories, retailers, restaurants and office buildings have shut down nationwide to slow the spread of the coronavirus, demand for electricity has fallen sharply. And, because coal plants often cost more to operate than gas plants or renewables, many utilities are cutting back on coal power first in response.

According to The Information, two top executives left Google's Pixel team following the poor reception of the Pixel 4 and "rare internal criticism" of the phone. Ars Technica reports: Pixel general manager Mario Queiroz and "the mastermind behind Google's Pixel camera," Marc Levoy, have both left the Pixel team in the past year. Both Queiroz and Levoy have been visible members of the Pixel team at launch events, where they usually give lengthy presentations about the new features. Levoy, in particular, is cause for concern, since the Pixel's camera has been one of the major bright spots of the phone line. The Pixel 4 has not been a huge success. It has sold less than the Pixel 3 and Pixel 3a in its first two quarters. Osterloh was not confident about the device in the leadup to launch, either. The report says that "ahead of the [Pixel 4] October launch in New York," Osterloh called an all-hands meeting and shared his misgivings about the phone. He reportedly "did not agree with some of the decisions made about the phone" and that "in particular, he was disappointed in its battery power." Osterloh runs the Pixel team, so this reporting gives some insight into his management style. For a Steve Jobs type, approving these kinds of broad directions would be a big part of his day-to-day decision making. Osterloh, apparently, is more of a hands-off delegator.

The report says that, following "sluggish sales and tepid reviews" for the Pixel 4, "the company's hardware division needs to maintain favor and funding as Google's top brass look to rein in costs because of a recent slowdown in advertising revenue." Seeing Google Hardware in the same sentence as Google's cost-cutting efforts is a bit scary -- Google has been aggressively killing products that don't regularly pull in millions of users, and it's hard to make an argument that the Pixel line has been doing well or is even getting better over its four years of existence. We've already seen some branches of Google Hardware get the ax: Osterloh has admitted the team has quit the tablet business after poor performance from the Pixel Slate.

9to5Mac has learned more exclusive details about Apple's upcoming over-ear headphones, dubbed the "AirPods Studio," including specifications and settings. From the report: One of the key features of regular AirPods is ear detection, which automatically pauses the song when you take the earphones off. We've learned that AirPods Studio will have a similar feature, but it will work in a different way. Instead of ear detection, Apple is working to include sensors that can detect whether the headphones are on your head or neck. Based on this, we assume that AirPods Studio will play or pause content when they detect being placed on your head. Neck detection can be used to keep the headset turned on while the music is paused, just like when you take just one of the AirPods out of the ear.

Another new sensor will be able to detect left and right ears to automatically route the audio channels. That means there's likely no right or wrong side to use AirPods Studio, whereas current headphones have fixed left and right channels. Just like the AirPods Pro, Apple's new headphones will have Active Noise Cancellation and Transparency Mode. Users will be able to easily switch between the two modes to reduce external noise or to hear the ambient sound.

As AirPods Studio are expected to be mainly focused on professional users, pairing the earphones with a Mac or iOS device will unlock custom equalizer settings, with low, medium, and high frequency adjustments available, sources told us. According to a Bloomberg recent report, Apple's own-brand over-ear headphones will be available in at least two variations of the headphones -- one using leather fabrics and another with lighter materials to fitness use cases. Bloomberg also said Apple is testing a new modular design with exchangeable magnetic ear pads. [...] As for the price, rumors suggest that it will cost $349.

Two security researchers have published today details about a vulnerability in the Windows printing service that they say impacts all Windows versions going back to Windows NT 4, released in 1996. From a report: The vulnerability, which they codenamed PrintDemon, is located in Windows Print Spooler, the primary Windows component responsible for managing print operations. The service can send data to be printed to a USB/parallel port for physically connected printers; to a TCP port for printers residing on a local network or the internet; or to a local file, in the rare event the user wants to save a print job for later. In a report published today, security researchers Alex Ionescu & Yarden Shafir said they found a bug in this old component that can be abused to hijack the Printer Spooler internal mechanism. The bug can't be used to break into a Windows client remotely over the internet, so it's not something that could be exploited to hack Windows systems at random over the internet.

Alienware has announced the second generation of its flagship Area-51m gaming laptop, the Area-51m R2. It's largely similar on the outside to the original Area-51m, but the specs are almost completely overhauled on the inside, with 10th Gen Intel processors, new Nvidia GPUs, faster RAM, and better display options. From a report: All of those upgrades will be limited to the new R2 model, though. Despite Alienware's goals for future-proofed upgradable parts, the Area-51m has failed to live up to its potential. One of the biggest draws of the Area-51m was the option for user-replaceable parts. Most modern laptops have nearly all of their internal components sealed in place in an effort to cut down on size. But the Area-51m took a different approach. It was big, easy to disassemble, and made it simple to replace nearly every internal component, from RAM to the CPU to the GPU to even the thermal cooling components. The idea was to make something more portable than any other desktop but more customizable than any laptop. Alienware's parent company, Dell, even built its own system for replaceable GPUs in laptops, called DGFF (Dell Graphics Form Factor) to make it easier to upgrade in the future.

Amazon has built robot that is designed to kill the novel coronavirus with ultraviolet light. From a report: The robot looks a little like a hotel luggage cart, with a tall metal frame attached to a rectangular wheeled bottom. One side of the frame is outfitted with at least 10 ultraviolet tube lights. In a video shared with CBS News' "60 Minutes," the robot rolls down the freezer aisle of a Whole Foods store, aiming UV light at the freezer doors. The robot could be used in warehouses and at Whole Foods stores to kill the virus on surfaces such as food, packaging, and door handles. Amazon spokeswoman Kristen Kish said the company's robotics group has been designing and testing the UV robot.

An anonymous reader quotes a report from AnandTech: Today alongside with the launch of the Xiaomi Redmi K30 5G Racing Edition, Qualcomm is announcing the new Snapdragon 768G SoC which powers the device. The new SoC is a direct follow-up to the Snapdragon 765G announced last December, and the two chips are very likely the same silicon design, with the new variant increasing the clock frequencies.

The new chip features the same Cortex-A76 cores in a 1+1 configuration (one Prime high-clocked core, and one medium clocked core), alongside 6 Cortex-A55 cores. The difference in CPU performance lies in the frequencies of the big cores which are now at up to 2.8GHz and 2.4GHz for the Performance and Middle core -- a more notable uplift from the 2.4 and 2.2GHz clocks of the Snapdragon 765G. GPU clock frequencies have also been increased, resulting in at 15% performance boost over the Snapdragon 765. The rest of the chip is seemingly identical to the Snapdragon 765 series.

An anonymous reader quotes CNN: Although tidal energy is still in its infancy, it could help to reduce Australia's dependence on fossil fuels... The island nation is only beginning to explore tidal power through a number of pilot projects. But this form of energy has one major advantage: its predictability. While the sun may not shine, or the wind may not blow, the sea moves in predictable tidal currents...

Among those harnessing this tidal potential is Sydney-based Mako Energy. The company makes underwater turbines ranging between two and four meters in diameter. One turbine operating in constantly flowing water can produce enough electricity to power up to 20 homes. Their design enables them to generate electricity even in slow-flowing water, meaning they could be used in rivers and irrigation canals as well as the ocean. "We're developing turbines at a scale where they can be deployed easily in remote communities, coastal businesses, island communities and resorts," Douglas Hunt, managing director of Mako Energy, told CNN Business...

So far, Mako's customers have predominantly been large industrial and government sites, but it wants to make its turbines accessible to energy customers big and small... "We want to contribute to an energy mix that is less reliant on fossil fuels, by empowering local businesses and communities to generate their own power from a predictable and abundant source that is hiding in plain sight — often flowing directly past communities," says Hunt.

"AI has ushered in a new golden age of semiconductor innovation," reports Forbes: For most of the history of computing, the prevailing chip architecture has been the CPU, or central processing unit... But while CPUs' key advantage is versatility, today's leading AI techniques demand a very specific — and intensive — set of computations. Deep learning entails the iterative execution of millions or billions of relatively simple multiplication and addition steps... CPUs process computations sequentially, not in parallel. Their computational core and memory are generally located on separate modules and connected via a communication system (a bus) with limited bandwidth. This creates a choke point in data movement known as the "von Neumann bottleneck". The upshot: it is prohibitively inefficient to train a neural network on a CPU...

In the early 2010s, the AI community began to realize that Nvidia's gaming chips were in fact well suited to handle the types of workloads that machine learning algorithms demanded. Through sheer good fortune, the GPU had found a massive new market. Nvidia capitalized on the opportunity, positioning itself as the market-leading provider of AI hardware. The company has reaped incredible gains as a result: Nvidia's market capitalization jumped twenty-fold from 2013 to 2018.

Yet as Gartner analyst Mark Hung put it, "Everyone agrees that GPUs are not optimized for an AI workload." The GPU has been adopted by the AI community, but it was not born for AI. In recent years, a new crop of entrepreneurs and technologists has set out to reimagine the computer chip, optimizing it from the ground up in order to unlock the limitless potential of AI. In the memorable words of Alan Kay: "People who are really serious about software should make their own hardware...."

The race is on to develop the hardware that will power the upcoming era of AI. More innovation is happening in the semiconductor industry today than at any time since Silicon Valley's earliest days. Untold billions of dollars are in play.
Some highlights from the article:

• Google, Amazon, Tesla, Facebook and Alibaba, among other technology giants, all have in-house AI chip programs.

• Groq has announced a chip performing one quadrillion operations per second. "If true, this would make it the fastest single-die chip in history."

• Cerebras' chip "is about 60 times larger than a typical microprocessor. It is the first chip in history to house over one trillion transistors (1.2 trillion, to be exact). It has 18 GB memory on-chip — again, the most ever."

• Lightmatter believes using light instead of electricity "will enable its chip to outperform existing solutions by a factor of ten."

Reuters reports that the Trump administration "is in talks with semiconductor companies about building chip factories in the United States, representatives from two chipmakers said on Sunday." Intel Corp is in discussions with the United States Department of Defense over improving domestic sources for microelectronics and related technology, Intel spokesman William Moss said in an emailed statement. "Intel is well positioned to work with the U.S. government to operate a U.S.-owned commercial foundry and supply a broad range of secure microelectronics", the statement added.

Taiwan Semiconductor Manufacturing Co, on the other hand, has been in talks with the U.S. Department of Commerce about building a U.S. factory but said it has not made a final decision yet. "We are actively evaluating all the suitable locations, including in the U.S., but there is no concrete plan yet", TSMC spokeswoman Nina Kao said in a statement...

The Wall Street Journal had also reported that U.S. officials are looking at helping South Korea's Samsung Electronics, which has a chip factory in Austin, Texas, to expand its contract-manufacturing operations in the United States.

Long-time Slashdot reader UnknowingFool writes: As NVidia and AMD battle it out with their GPUs in consumer gaming, behind the scenes both manufacturers were competing against each for manufacturing capacity with TSMC's lines. It appears that early on in the 7nm line, NVidia lost out as it is rumored their strategy was to use Samsung more only to go back to TSMC when that failed By then TSMC had sold out their capacity to AMD. For their next generation GPUs it appears both NVidia is securing both 5nm early while grabbing as much 7nm as possible.

Long-time Slashdot reader blackbearnh writes: Since the COVID-19 pandemic has made Personal Protective Equipment worth it's weight in gold, Makers have been trying to help bridge the gap. While sewn masks have been the most common solution, the 3D printing community has been pitching in as well. The Montana Mask has been one of the most popular designs...

Thursday, the group Make the Masks announced that the design files and STLs to print the mask have been released under the GNU General Public License v3, allowing anyone to print, sell, remix or improve the design, as long as they conform to the license. Importantly, the GPLv3 includes an international non-exclusive patent grant, meaning that even if the inventors decide to apply for a patent, it will not restrict anyone from using the design.