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SoftBank Investment Advisers and WeWork Labs say they’ve officially kicked off the first session of Emerge, an accelerator program designed for underrepresented founders.
In their press release, the companies describe Emerge as “launched by SoftBank with support from WeWork Labs” (that’s the co-working company’s global accelerator program), with a goal of bringing more equality to tech and venture capital.
It’s an equity-free, eight-week program that includes workshops, access to mentors from SoftBank and the WeWork community and sessions with SoftBank executives. It all culminates in a showcase event for investors and SoftBank partners.
The Emerge website describes the program as based in San Mateo, Calif. — but given COVID-19, the sessions and programming are all virtual.
“Supporting underrepresented founders is a top priority for us, ensuring we see more diverse startups across the tech ecosystem,” said Catherine Lenson, managing partner and chief human resources officer at SoftBank Investment Advisers, in a statement. “There is a lack of diversity in the sector as a whole, and we need to do more to address it. That is why we’re excited to launch this program and to see the positive impact that these inspiring founders will have.”
This is also a reminder that while the larger corporate entities are currently embroiled in a legal and financial dispute, WeWork and its largest investor remain closely intertwined.
Here are the 14 startups in the initial program:
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Global trade watchers breathed a sigh of relief on January 15, 2020.
After two years of threats, tariffs and tweets, there was finally a truce in the trade war between the U.S. and China. The agreement signed by President Trump and Chinese Vice Premier Liu He in the Oval Office didn’t resolve all trade tensions and maintained most of the $360 billion in tariffs the administration had put on Chinese goods. But for the first time in months, it looked like manufacturers, importers and shippers could start to put two difficult years behind them.
Then came COVID-19, at first a local disruption in Wuhan, China. Then it spread throughout Hubei province, causing havoc in a concentric circle that eventually engulfed the rest of China, where industrial production fell by more than 13.5% in the first two months of the year. When the virus spread everywhere, chaos ensued: Factories shuttered. Borders closed. Supply chains crumbled.
“It has had a cascading effect through the entire world’s economy,” says Anja Manuel, co-founder and managing partner of Rice, Hadley, Gates & Manuel LLC, an international strategic consulting firm based in Silicon Valley.
The crisis has caused a drastic contraction in global trade; the World Trade Organization estimates trade volumes will fall 13-20% in 2020. And spinning activity back up could be tricky: Even as China starts to get back online, the slowdown there could reduce worldwide exports by $50 billion this year. When factories do reopen, there’s no guarantee whether they will have parts available or empty warehouses, says Manuel, who also serves on the advisory board of Flexport, a shipping logistics startup. “Our supply chains are so tightly-knit and so just-in-time that throw a few wrenches in it like we’ve just done, and it’s going to be really hard to stand it back up again. The idea that we go back to normal the moment we lift restrictions is unlikely, fanciful, even.”
Getting to that new normal, though, is a job that a number of logistics startups are embracing. Already on the rise, companies like Flexport, Haven and Factiv see a global trade crisis as a setback, but also an opportunity to demonstrate the value of their digital platforms in a very much analog industry.
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When it comes to corporate venture capital, semiconductor giant Intel has shaped up to be one of the most prolific and prescient investors in the tech world, with investments in 1,582 companies worldwide, and a tally of some 692 portfolio companies going public or otherwise exiting in the wake of Intel’s backing.
Today, the company announced its latest tranche of deals: $132 million invested in 11 startups. The deals speak to some of the company’s most strategic priorities currently and in the future, covering artificial intelligence, autonomous computing and chip design.
Many corporate VCs have been clear in drawing a separation between their activities and that of their parents, and the same has held for Intel. But at the same time, the company has made a number of key moves that point to how it uses its VC muscle to expand its strategic relationships and also ultimately expand through M&A. Just earlier this month, it acquired Moovit, an Intel Capital portfolio company, for $900 million (a deal that was knocked down to $840 million when accounting for its previous investment).
“Intel Capital identifies and invests in disruptive startups that are working to improve the way we work and live. Each of our recent investments is pushing the boundaries in areas such as AI, data analytics, autonomous systems and semiconductor innovation. Intel Capital is excited to work with these companies as we jointly navigate the current world challenges and as we together drive sustainable, long-term growth,” said Wendell Brooks, Intel senior vice president and president of Intel Capital, in a statement.
The tranche of deals come at a critical time in the worlds of startups and venture investing. Many are worried that the slowdown in the economy, precipitated by the COVID-19 pandemic, will mean a subsequent slowdown in tech finance. Intel says that it plans to invest between $300 million and $500 million in total this year, so this would go some way to refuting that idea, along with some of the other monster deals and big funds that we’ve written out in the last couple of months.
The list announced today doesn’t include specific investment numbers, but in some cases the startups have also announced the fundings themselves and given more detail on round sizes. These still, however, do not reveal Intel’s specific financial stakes.
Here’s the full list:
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Ransomware is getting sneakier and smarter.
The latest example comes from ExecuPharm, a little-known but major outsourced pharmaceutical company that confirmed it was hit by a new type of ransomware last month. The incursion not only encrypted the company’s network and files, hackers also exfiltrated vast amounts of data from the network. The company was handed a two-for-one threat: pay the ransom and get your files back or don’t pay and the hackers will post the files to the internet.
This new tactic is shifting how organizations think of ransomware attacks: it’s no longer just a data-recovery mission; it’s also now a data breach. Now companies are torn between taking the FBI’s advice of not paying the ransom or the fear their intellectual property (or other sensitive internal files) are published online.
Because millions are now working from home, the surface area for attackers to get in is far greater than it was, making the threat of ransomware higher than ever before.
That’s just one of the stories from the week. Here’s what else you need to know.
Education giant Chegg confirmed its third data breach in as many years. The latest break-in affected past and present staff after a hacker made off with 700 names and Social Security numbers. It’s a drop in the ocean when compared to the 40 million records stolen in 2018 and an undisclosed number of passwords taken in a breach at Thinkful, which Chegg had just acquired in 2019.
Those 700 names account for about half of its 1,400 full-time employees, per a filing with the Securities and Exchange Commission. But Chegg’s refusal to disclose further details about the breach — beyond a state-mandated notice to the California attorney general’s office — makes it tough to know exactly went wrong this time.
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Starting tomorrow, 777 supermarkets in California, Illinois, Indiana, Iowa and Nevada will begin stocking the Impossible Foods plant-based meat substitute.
Fueling the increased distribution and a push to expand its product suite and geographic footprint domestically and internationally is a $500 million round of funding the company closed in March.
Some of that money is supporting the company’s debut at stores like Albertsons, Jewel-Osco, Pavilions, Safeway and Vons.
In all, the company said it would be in nearly 1,000 grocery stores by tomorrow. That includes all Albertsons, Vons, Pavilions and Gelson’s Markets in Southern California; all Safeway stores in Northern California and Nevada; Jewel-Osco stores in Chicago, eastern Iowa and northwest Indiana; Wegmans stores on the East Coast and Fairway markets in and around New York.
Since its debut in September, the company said it was the number one item sold at the locations it was available on the East and West coasts.
The company’s 12-ounce packages are sold for somewhere between $8.99 and $9.99 and it plans to soon introduce the Impossible Burger at even more stores nationwide.
“We’ve always planned on a dramatic surge in retail for 2020 — but with more and more Americans’ eating at home, we’ve received requests from retailers and consumers alike,” said Impossible Foods’ president Dennis Woodside, in a statement. “Our existing retail partners have achieved record sales of Impossible Burger in recent weeks, and we are moving as quickly as possible to expand with retailers nationwide.”
Even as the company announced its expansion, it made moves to assuage any consumer concerns over the processes in place at its manufacturing facilities.
Impossible Foods said it had instituted mandatory work from home policies for all of its employees who can telecommute; restricted visitors to its facilities and those operated by co-manufacturers; banned all work-related travel; and implemented new sanitizing and disinfection procedures at its workplaces.
“Our No. 1 priority is the safety of our employees, customers and consumers,” Woodside said. “And we recognize our responsibility for the welfare of our community, including the entire San Francisco Bay Area, our global supplier and customer network, millions of customers, and billions of people who are relying on food manufacturers to produce supplies in times of need.”
The company said it was proceeding with its research and development initiatives; accelerating the ramp of its production facilities; and moving to broadly commercialize its Impossible Sausage and Impossible Pork products.
Impossible Foods has raised $1.3 billion from investors, including Mirae Asset Global Investments, Khosla Ventures, Horizons Ventures and Temasek.
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Labster, a virtual science lab edtech company, today announced that it is partnering with California’s community college network to bring its software to 2.1 million students.
California Community Colleges claims to be the largest system of higher education in the country. The Labster partnership will provide 115 schools with 130 virtual laboratory simulations in biology, chemistry, physics and general sciences.
As COVID-19 has forced schools to shutter, edtech companies have largely responded by offering their software for free or through extended free trials. What’s new and notable about Labster’s partnership today is that it shows the first few signs of how that momentum can lead to a business deal.
Based in Copenhagen, Labster sells virtual STEM labs to institutions. The startup has raised $34.7 million in known venture capital to date, according to Crunchbase data. Labster customers include California State University, Harvard, Gwinnett Technical College, MIT, Trinity College and Stanford.
Lab equipment is expensive, and budget constraints mean that schools struggle to afford the latest technology. So Labster’s value proposition is that it is a cheaper alternative (plus, if students spill a testing vial in a virtual lab, there’s less clean up).
That pitch has slightly changed since COVID-19 forced schools across the world to shut down to limit the spread of the pandemic. Now, it’s pitching itself as the only currently viable alternative to science labs.
For many edtech companies, the surge of remote learning has been a large experiment. Often, edtech companies are giving away their product and technology for free to help as schools scramble to move operations completely digital.
For example, last week self-serve learning platforms Codecademy, Duolingo, Quizlet, Skillshare and Brainly launched a Learn From Home Club for students and teachers. Before that, Wize made its exam content and homework services available for free. And Zoom offered its video-conferencing software for free to K through 12 schools, which had mixed results.
Labster itself gave $5 million in free Labster credits to schools across the country. The list continues.
Labster’s new deal shows edtech companies can secure new customers right now — without breaking the bank.
Labster CEO and co-founder Michael Bodekaer declined to give specifics on what the deal is worth. He did share that Labster works with schools one by one to understand how much they can, or want to, invest in teacher training and webinar support. He also confirmed that Labster does profit from the deal.
“We want to make sure that we set ourselves up for supporting our partners but still also make sure that Labster as a financial institution can pay our salaries,” Bodekaer said. “But again, heavy discounts that help us cover our costs.”
The long game for Labster, like many edtech companies, is that schools like the platform so much that these short-term stints have a better chance to lead to long-term relationships.
“We’ll be keeping these discounts as long as we possibly can sustain as a company,” he said. “It looks like initially the discount was until August and now we’re extending it until the end of the year. If that continues, we may extend it even further.”
Pricing aside, the real struggle toward implementation for Labster, and honestly any other edtech company focused on remote learning, is the digital divide. Some students do not have access to a computer for video conferencing or even internet connection for assignments.
The COVID-19 pandemic has highlighted how many households across America lack access to the technology needed for remote learning. In California, Google donated free Chromebooks and 100,000 mobile hotspots to students in need.
Bodekaer said that Labster is currently working on providing its software on mobile, and has worked with Google to make sure its product works on low-end computers like Chromebooks.
“We really want to be hardware agnostic and support any system or any platform that the students already have,” he said. “So that hardware does not become a barrier.”
While today’s partnership brings 2.1 million students access to Labster’s technology, it does not directly account for the percentage of that same group that might not have access to a computer in the first place. The true test, and perhaps success, of edtech will rely on a true hybrid of hardware and software, not one or the other.
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Google is giving the world a clearer glimpse of exactly how much it knows about people everywhere — using the coronavirus crisis as an opportunity to repackage its persistent tracking of where users go and what they do as a public good in the midst of a pandemic.
In a blog post today, the tech giant announced the publication of what it’s branding COVID-19 Community Mobility Reports, an in-house analysis of the much more granular location data it maps and tracks to fuel its ad-targeting, product development and wider commercial strategy to showcase aggregated changes in population movements around the world.
The coronavirus pandemic has generated a worldwide scramble for tools and data to inform government responses. In the EU, for example, the European Commission has been leaning on telcos to hand over anonymized and aggregated location data to model the spread of COVID-19.
Google’s data dump looks intended to dangle a similar idea of public policy utility while providing an eyeball-grabbing public snapshot of mobility shifts via data pulled off of its global user-base.
In terms of actual utility for policymakers, Google’s suggestions are pretty vague. The reports could help government and public health officials “understand changes in essential trips that can shape recommendations on business hours or inform delivery service offerings,” it writes.
“Similarly, persistent visits to transportation hubs might indicate the need to add additional buses or trains in order to allow people who need to travel room to spread out for social distancing,” it goes on. “Ultimately, understanding not only whether people are traveling, but also trends in destinations, can help officials design guidance to protect public health and essential needs of communities.”
The location data Google is making public is similarly fuzzy — to avoid inviting a privacy storm — with the company writing it’s using “the same world-class anonymization technology that we use in our products every day,” as it puts it.
“For these reports, we use differential privacy, which adds artificial noise to our datasets enabling high quality results without identifying any individual person,” Google writes. “The insights are created with aggregated, anonymized sets of data from users who have turned on the Location History setting, which is off by default.”
“In Google Maps, we use aggregated, anonymized data showing how busy certain types of places are—helping identify when a local business tends to be the most crowded. We have heard from public health officials that this same type of aggregated, anonymized data could be helpful as they make critical decisions to combat COVID-19,” it adds, tacitly linking an existing offering in Google Maps to a coronavirus-busting cause.
The reports consist of per country, or per state, downloads (with 131 countries covered initially), further broken down into regions/counties — with Google offering an analysis of how community mobility has changed vs a baseline average before COVID-19 arrived to change everything.
So, for example, a March 29 report for the whole of the U.S. shows a 47 percent drop in retail and recreation activity vs the pre-CV period; a 22% drop in grocery & pharmacy; and a 19% drop in visits to parks and beaches, per Google’s data.
While the same date report for California shows a considerably greater drop in the latter (down 38% compared to the regional baseline); and slightly bigger decreases in both retail and recreation activity (down 50%) and grocery & pharmacy (-24%).
Google says it’s using “aggregated, anonymized data to chart movement trends over time by geography, across different high-level categories of places such as retail and recreation, groceries and pharmacies, parks, transit stations, workplaces, and residential.” The trends are displayed over several weeks, with the most recent information representing 48-to-72 hours prior, it adds.
The company says it’s not publishing the “absolute number of visits” as a privacy step, adding: “To protect people’s privacy, no personally identifiable information, like an individual’s location, contacts or movement, is made available at any point.”
Google’s location mobility report for Italy, which remains the European country hardest hit by the virus, illustrates the extent of the change from lockdown measures applied to the population — with retail & recreation dropping 94% vs Google’s baseline; grocery & pharmacy down 85%; and a 90% drop in trips to parks and beaches.
The same report shows an 87% drop in activity at transit stations; a 63% drop in activity at workplaces; and an increase of almost a quarter (24%) of activity in residential locations — as many Italians stay at home instead of commuting to work.
It’s a similar story in Spain — another country hard-hit by COVID-19. Though Google’s data for France suggests instructions to stay-at-home may not be being quite as keenly observed by its users there, with only an 18% increase in activity at residential locations and a 56% drop in activity at workplaces. (Perhaps because the pandemic has so far had a less severe impact on France, although numbers of confirmed cases and deaths continue to rise across the region.)
While policymakers have been scrambling for data and tools to inform their responses to COVID-19, privacy experts and civil liberties campaigners have rushed to voice concerns about the impacts of such data-fueled efforts on individual rights, while also querying the wider utility of some of this tracking.
And yes, the disclaimer is very broad. I’d say, this is largely a PR move.
Apart from this, Google must be held accountable for its many other secondary data uses. And Google/Alphabet is far too powerful, which must be addressed at several levels, soon. https://t.co/oksJgQAPAY
— Wolfie Christl (@WolfieChristl) April 3, 2020
Contacts tracing is another area where apps are fast being touted as a potential solution to get the West out of economically crushing population lockdowns — opening up the possibility of people’s mobile devices becoming a tool to enforce lockdowns, as has happened in China.
“Large-scale collection of personal data can quickly lead to mass surveillance,” is the succinct warning of a trio of academics from London’s Imperial College’s Computational Privacy Group, who have compiled their privacy concerns vis-a-vis COVID-19 contacts tracing apps into a set of eight questions app developers should be asking.
Discussing Google’s release of mobile location data for a COVID-19 cause, the head of the group, Yves-Alexandre de Montjoye, gave a general thumbs up to the steps it’s taken to shrink privacy risks. Although he also called for Google to provide more detail about the technical processes it’s using in order that external researchers can better assess the robustness of the claimed privacy protections. Such scrutiny is of pressing importance with so much coronavirus-related data grabbing going on right now, he argues.
“It is all aggregated; they normalize to a specific set of dates; they threshold when there are too few people and on top of this they add noise to make — according to them — the data differentially private. So from a pure anonymization perspective it’s good work,” de Montjoye told TechCrunch, discussing the technical side of Google’s release of location data. “Those are three of the big ‘levers’ that you can use to limit risk. And I think it’s well done.”
“But — especially in times like this when there’s a lot of people using data — I think what we would have liked is more details. There’s a lot of assumptions on thresholding, on how do you apply differential privacy, right?… What kind of assumptions are you making?” he added, querying how much noise Google is adding to the data, for example. “It would be good to have a bit more detail on how they applied [differential privacy]… Especially in times like this it is good to be… overly transparent.”
While Google’s mobility data release might appear to overlap in purpose with the Commission’s call for EU telco metadata for COVID-19 tracking, de Montjoye points out there are likely to be key differences based on the different data sources.
“It’s always a trade off between the two,” he says. “It’s basically telco data would probably be less fine-grained, because GPS is much more precise spatially and you might have more data points per person per day with GPS than what you get with mobile phone but on the other hand the carrier/telco data is much more representative — it’s not only smartphone, and it’s not only people who have latitude on, it’s everyone in the country, including non smartphone.”
There may be country specific questions that could be better addressed by working with a local carrier, he also suggested. (The Commission has said it’s intending to have one carrier per EU Member State providing anonymized and aggregated metadata.)
On the topical question of whether location data can ever be truly anonymized, de Montjoye — an expert in data reidentification — gave a “yes and no” response, arguing that original location data is “probably really, really hard to anonymize”.
“Can you process this data and make the aggregate results anonymous? Probably, probably, probably yes — it always depends. But then it also means that the original data exists… Then it’s mostly a question of the controls you have in place to ensure the process that leads to generating those aggregates does not contain privacy risks,” he added.
Perhaps a bigger question related to Google’s location data dump is around the issue of legal consent to be tracking people in the first place.
While the tech giant claims the data is based on opt-ins to location tracking the company was fined $57M by France’s data watchdog last year for a lack of transparency over how it uses people’s data.
Then, earlier this year, the Irish Data Protection Commission (DPC) — now the lead privacy regulator for Google in Europe — confirmed a formal probe of the company’s location tracking activity, following a 2018 complaint by EU consumers groups which accuses Google of using manipulative tactics in order to keep tracking web users’ locations for ad-targeting purposes.
“The issues raised within the concerns relate to the legality of Google’s processing of location data and the transparency surrounding that processing,” said the DPC in a statement in February, announcing the investigation.
The legal questions hanging over Google’s consent to track people likely explains the repeat references in its blog post to people choosing to opt in and having the ability to clear their Location History via settings. (“Users who have Location History turned on can choose to turn the setting off at any time from their Google Account, and can always delete Location History data directly from their Timeline,” it writes in one example.)
In addition to offering up coronavirus mobility porn reports — which Google specifies it will continue to do throughout the crisis — the company says it’s collaborating with “select epidemiologists working on COVID-19 with updates to an existing aggregate, anonymized dataset that can be used to better understand and forecast the pandemic.”
“Data of this type has helped researchers look into predicting epidemics, plan urban and transit infrastructure, and understand people’s mobility and responses to conflict and natural disasters,” it adds.
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Startups continue to find new ways to contribute to ongoing efforts to fight the global spread of COVID-19 during the current global coronavirus pandemic, and personal health hardware-maker Oura is no exception. The smart ring startup is working with the University of California, San Francisco (UCSF) on a new study to see if its device can help detect early physiological signs that might indicate the onset of COVID-19.
This study will include two parts: Around 2,000 frontline healthcare professionals will get Oura rings to wear during the study. The rings track a user’s body temperature continuously, as well as their sleep patterns, heart rate and activity levels. Fever is a common and early symptom that could indicate COVID-19, and a continuously updated body temperature reading could detect fever very early. That’s not enough to confirm a case of COVID-19, of course, but the purpose of the study is to determine whether the range of readings Oura’s ring tracks might, taken together and with other signals, be useful in some kind of early detection effort.
There’s good reason why researches believe that Oura could be used in early detection: An Oura user in Finland claims the ring alerted him to the fact that he was ill before he was displaying any overt symptoms of the virus, prompting him to get tested (relatively easy in that country). Test results confirmed that while asymptomatic, he had indeed contracted COVID-19. As a result, UCSF researcher Dr. Ashley Mason hypothesizes that the Oura ring could anticipate COVID-19 onset by as many as two to three days before the onset of more obvious symptoms, like coughing.
Being able to detect the presence of the virus in an individual early is key to global containment efforts, but even more important when it comes to frontline healthcare workers. The earlier a frontline responder is diagnosed, the less chance that they expose their colleagues or others they’re working around in close quarters.
In addition to the Oura rings being provided to study participants, the plan is to expand it to include Oura’s general user population, meaning its more than 150,000 global users can opt in to participate and add to the overall pool of available information with their ring’s readings and daily symptom surveys. For existing Oura users, it’s a relatively low-lift way to contribute to the global effort to combat the pandemic — without even leaving the house.
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At-home diagnostics startup Scanwell, which produces smartphone-based testing for UTIs, is working on getting at-home testing for the novel coronavirus into the hands of U.S. residents. The technology, which was developed by Chinese diagnostic technology company INNOVITA and has already been approved by China’s equivalent of the FDA and used by “millions” in China, can be taken at home in 15 minutes with the guidance of a medical professional via telehealth, and produces results in just hours.
Scanwell’s test will require FDA clearance, but the company tells me that it’s in the process of securing approval through the FDA’s accelerated emergency certification program. The FDA guidance says that this approval process should take 6-8 weeks (though that “could be faster,” Scanwell says), and Scanwell is aiming to be ready to go with shipping these as soon as it receives that approval. While the U.S. drug regulatory agency previously had only included PCR tests in its protocols, it updated that guidance to include serological tests earlier this week. Scanwell further says they “don’t anticipate any issues with FDA approval.”
The test that Scanwell is aiming to launch uses what’s called a ‘serological’ technique, which looks for antibodies in a patient’s blood. These are only present if someone has been exposed to the SARS-CoV-2 virus, since as of right now researchers haven’t found any evidence that natural antibodies to this particular virus exist without exposure. By contrast, the types of tests that are currently in use in the U.S. are “PCR” tests, which use a molecular-based approach to determine if the virus is present genetically in a mucus sample.
The PCR type of test is technically more accurate than the serological variety, but the serological version is much easier to administer, and produces results more quickly. It’s also still very accurate on the whole, and is much cheaper to produce than the PCR version. Plus, it could help expand efforts beyond testing only the most severe cases with symptoms present, and do a much better job of illuminating the full extent of the presence of the virus, including among people with mild cases who have already recovered at home, and those who are asymptomatic but carrying the virus with the possibility of infecting others.
Also, while other, PCR-based at-home testing options already exist, like one from Everlywell that will start going out on Monday, require round-tripping test samples, adding time, complexity and cost and relying on testing materials like swabs that are in short supply globally.
Once the test is available, people deemed eligible via Scanwell’s screening process in their Scanwell Health app will be sent the test via next-day delivery. They’ll be guided by telehealth partner Lemonaid‘s licensed doctors and nurse practitioners, and they’ll then receive results and further guidance about those results via the app within a few hours. The whole testing process will cost $70, which Scanwell says just covers its costs (it’s also looking at ways to provide free service to those who need it), and will be deployed first in Washington, California and New York, as well as other areas depending on the severity of their coronavirus situation.
That the tests will take potentially 6-8 weeks to come to market seems like a long time, given the current state of the rapidly evolving COVID-19 situation and testing. But we’ll likely still be very much in need of testing options at that time, especially ones that can serve people who aren’t necessarily meeting the criteria for other available testing resources.
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Apple Inc. has agreed to pay a settlement of up to $500 million, following a lawsuit accusing the company of intentionally slowing down the performance of older phones to encourage customers to buy newer models or fresh batteries.
The preliminary proposed class action lawsuit was disclosed Friday night and would see Apple pay consumers $25 per phone, as reported by Reuters.
Any settlement needs to be approved by U.S. District Judge Edward Davila, who oversaw the case brought in San Jose, Calif.
For consumers, the $25 payout may seem a little low, as a new iPhone can cost anywhere from $649 to $849 (for a lower-end model). The cost may be varied depending on how many people sue, and the company is set to pay at least $310 million under the terms of the settlement.
For its part, Apple is denying wrongdoing in the case and said it was only agreeing to avoid the cost and burden associated with the lawsuit.
Any U.S. owner of the iPhone 6, 6 Plus, 6s, 6s Plus, 7 Plus or SE that ran on iOS 10.2.1 or any of the later operating systems are covered by the settlement. Users of the iPhone 7 and 7 Plus which ran iOS 11.2 or later before Dec. 21, 2017 are also covered by the settlement.
Apple customers said their phone performance slowed down after they installed Apple software updates. The customers contend that Apple’s software updates intentionally degraded the performance of older models to encourage customers to unnecessarily upgrade to newer models or install new batteries.
Lawyers for Apple said that the problems were mainly due to high usage, temperature changes and other issues and that its engineers tried to address the problems as quickly as possible.
In February, Apple was fined $27 million by the French government for the same issue.
As we reported at the time:
A couple of years ago, Apple released an iOS update (10.2.1 and 11.2) that introduced a new feature for older devices. If your battery is getting old, iOS would cap peak performances as your battery might not be able to handle quick peaks of power draw. The result of those peaks is that your iPhone might shut down abruptly.
While that feature is technically fine, Apple failed to inform users that it was capping performances on some devices. The company apologized and introduced a new software feature called “Battery Health,” which lets you check the maximum capacity of your battery and if your iPhone can reach peak performance.
And that’s the issue here. Many users may have noticed that their phone would get slower when they play a game, for instance. But they didn’t know that replacing the battery would fix that. Some users may have bought new phones even though their existing phone was working fine.
Shares of Apple were up more than 9% today in a general market rally.
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