An anonymous reader quotes a report from ZDNet: The Linux Foundation Public Health (LFPN) is getting the Global COVID Certificate Network (GCCN) ready for deployment. The GCCN [...] really is a coronavirus vaccine passport. It will do this by establishing a global trust registry network. This will enable interoperable and trustworthy exchanges of COVID certificates among countries for safe reopening and provide related technology and guidance for implementation. It's being built by the Linux Foundation Public Health and its allies, Affinidi, AOKPass, Blockchain Labs, Evernym, IBM, Indicio.Tech, LACChain, Lumedic, Proof Market, and ThoughtWorks. These companies have already implemented COVID certificate or pass systems for governments and industries. Together they will define and implement GCCN. This, it's hoped, will be the model for a true international vaccine registry.

Once completed, the GCCN's trust registry network will enable each country to publish a list of the authorized issuers of COVID certificates that can be digitally verified by authorities in other countries. This will bridge the gap between technical specifications (e.g. W3C Verifiable Credentials or SMART Health Card) and a complete trust architecture required for safe reopening. This is vital because as Brian Behlendorf, the Linux Foundation's General Manager for Blockchain, Healthcare, and Identity explained, "The first wave of apps for proving one's COVID status did not allow that proof to be shown beyond a single state or nation, did not avoid vendor lock-in and did not distinguish between rich health data and simple passes. The Blueprint gives this industry a way to solve those issues while meeting a high bar for privacy and integrity, and GCCN turns those plans into action."

Once in place, the GCCN will support Global COVID Certificates (GCC). These certificates will have three use cases: Vaccination, recovery from infection, and test results. They will be available in both paper and digital formats. Participating governments and industry alliances will decide what COVID certificates they issue and accept. The GCC schema definitions and minimal datasets will follow the recommendations of the Blueprint, as well as GCCN's technical and governance documents, implementation guide, and open-source reference implementations, which will be developed in collaboration with supporting organizations and the broader LFPH community. Besides setting the specs and designs, the GCCN community will also offer peer-based implementation and governance guidance to governments and industries to help them implement COVID certificate systems. This will include how to build national and state trust registries and infrastructure. They'll also provide guidance on how to leverage GCC into their existing coronavirus vaccine systems.

It's been argued that technology (especially automation) will continue weakening the position of workers. But today the senior economics correspondent for The New York Times argues a "profound shift" happening in America is instead something else.

"For the first time in a generation, workers are gaining the upper hand..." Up and down the wage scale, companies are becoming more willing to pay a little more, to train workers, to take chances on people without traditional qualifications, and to show greater flexibility in where and how people work. The erosion of employer power began during the low-unemployment years leading up to the pandemic and, given demographic trends, could persist for years. March had a record number of open positions, according to federal data that goes back to 2000, and workers were voluntarily leaving their jobs at a rate that matches its historical high. Burning Glass Technologies, a firm that analyzes millions of job listings a day, found that the share of postings that say "no experience necessary" is up two-thirds over 2019 levels, while the share of those promising a starting bonus has doubled.

People are demanding more money to take a new job. The "reservation wage," as economists call the minimum compensation workers would require, was 19 percent higher for those without a college degree in March than in November 2019, a jump of nearly $10,000 a year, according to a survey by the Federal Reserve Bank of New York... [T]he demographic picture is not becoming any more favorable for employers eager to fill positions. Population growth for Americans between ages 20 and 64 turned negative last year for the first time in the nation's history. The Congressional Budget Office projects that the potential labor force will grow a mere 0.3 to 0.4 percent annually for the remainder of the 2020s; the size of the work force rose an average of 0.8 percent a year from 2000 to 2020.
The article describes managers now "being forced to learn how to operate amid labor scarcity... At the high end of the labor market, that can mean workers are more emboldened to leave a job if employers are insufficiently flexible on issues like working from home..."

But it also notes a ride-sharing driver who switched to an IBM apprenticeship for becoming a cloud storage engineer, and former Florida nightclub bouncer Alex Lorick, who became an IBM mainframe technician, "part of a deliberate effort by IBM to rethink how it hires and what counts as a qualification for a given job." [IBM] executives concluded that the qualifications for many jobs were unnecessarily demanding. Postings might require applicants to have a bachelor's degree, for example, in jobs that a six-month training course would adequately prepare a person for.

"By creating your own dumb barriers, you're actually making your job in the search for talent harder," said Obed Louissaint, IBM's senior vice president for transformation and culture. In working with managers across the company on training initiatives like the one under which Mr. Lorick was hired, "it's about making managers more accountable for mentoring, developing and building talent versus buying talent."

"I think something fundamental is changing, and it's been happening for a while, but now it's accelerating," Mr. Louissaint said.

Fast Company's technology editor harrymcc writes: In the 1940s, IBM tried to market a typewriter capable of handling all 5,400 Chinese characters. The catch was that using it required memorizing a 4-digit code for each character. But a young woman named Lois Lew tackled the challenge and demoed the typewriter for the company in presentations from Manhattan to Shanghai.

More than 70 years later, Lew, now in her 90s, told her remarkable story to Thomas S. Mullaney for Fast Company.

An anonymous reader quotes a report from Engadget: [T]he Responsible Artificial Intelligence Institute (RAI) -- a non-profit developing governance tools to help usher in a new generation of trustworthy, safe, Responsible AIs -- hopes to offer a more standardized means of certifying that our next HAL won't murder the entire crew. In short they want to build "the world's first independent, accredited certification program of its kind." Think of the LEED green building certification system used in construction but with AI instead. Work towards this certification program began nearly half a decade ago alongside the founding of RAI itself, at the hands of Dr. Manoj Saxena, University of Texas Professor on Ethical AI Design, RAI Chairman and a man widely considered to be the "father" of IBM Watson, though his initial inspiration came even further back.

Certifications are awarded in four levels -- basic, silver, gold, and platinum (sorry, no bronze) -- based on the AI's scores along the five OECD principles of Responsible AI: interpretability/explainability, bias/fairness, accountability, robustness against unwanted hacking or manipulation, and data quality/privacy. The certification is administered via questionnaire and a scan of the AI system. Developers must score 60 points to reach the base certification, 70 points for silver and so on, up to 90 points-plus for platinum status. [Mark Rolston, founder and CCO of argodesign] notes that design analysis will play an outsized role in the certification process. "Any company that is trying to figure out whether their AI is going to be trustworthy needs to first understand how they're constructing that AI within their overall business," he said. "And that requires a level of design analysis, both on the technical front and in terms of how they're interfacing with their users, which is the domain of design."

RAI expects to find (and in some cases has already found) a number of willing entities from government, academia, enterprise corporations, or technology vendors for its services, though the two are remaining mum on specifics while the program is still in beta (until November 15th, at least). Saxena hopes that, like the LEED certification, RAI will eventually evolve into a universalized certification system for AI. He argues, it will help accelerate the development of future systems by eliminating much of the uncertainty and liability exposure today's developers -- and their harried compliance officers -- face while building public trust in the brand. "We're using standards from IEEE, we are looking at things that ISO is coming out with, we are looking at leading indicators from the European Union like GDPR, and now this recently announced algorithmic law," Saxena said. "We see ourselves as the 'do tank' that can operationalize those concepts and those think tank's work."

Hmmmmmm shares a report from Taiwan News: Taiwan Semiconductor Manufacturing Co. (TSMC), National Taiwan University (NTU), and the Massachusetts Institute of Technology (MIT) have made a significant breakthrough in the development of 1-nanometer chips, reports said Tuesday (May 18). The joint announcement has trumped IBM's statement earlier in the month about the development of a 2nm semiconductor, British website Verdict reported. While at present the most advanced chips are 5nm, TSMC's find was likely to lead to power-saving and higher speeds for future electric vehicles, artificial intelligence, and other new technologies.

The discovery was first made by the MIT team, with elements optimized by TSMC and improved by NTU's Department of Electrical Engineering and Optometrics, according to a report in Nature Magazine. The key element of the research outcome was that using the semi-metal bismuth as the contract electrode of a two-dimensional material to replace silicon can cut resistance and increase the current, Verdict reported. Energy efficiency would thus increase to the highest possible level for semiconductors.

Politico's technology site Protocol reports that some U.S. lawmakers are getting angry about an unpopular but widespread corporate policy -- the non-compete agreement: Non-compete agreements prohibit employees who leave their jobs from taking similar positions with potential competitors for a certain period of time. In the U.S., somewhere between 27.8% and 46.5% of private-sector workers are subject to non-compete agreements, according to a 2019 Economic Policy Institute study.

Such agreements are unenforceable in California and limited in nearby Washington, but they can still have adverse effects on employees nationwide. That's why a current piece of legislation, the Workforce Mobility Act, seeks at the federal level to restrict the use of non-compete agreements in most situations. Sens. Chris Murphy and Todd Young introduced the bill, which would only allow non-competes in certain "necessary" situations... Non-compete legislation also has the support of President Joe Biden, who said during his campaign he would support such a bill. John Lettieri, president and CEO of the Economic Innovation Group, is a proponent of the Workforce Mobility Act and suggested the bill should enjoy broad support. "We believe we're in a position where it's possible for this to become law," Lettieri told Protocol.

"Whether you're a free market conservative or whether you're a pro-worker progressive, you can come from either of those ends of the spectrum and end up in the same place. And this is a special issue for that reason... Competition is generally good and for workers, competition among businesses for your labor is the most fundamental bargaining power you've got," he said. But if companies hinder that with non-compete agreements, they create "a downstream series of consequences that really are bad for the worker, they're bad for the broader labor market and it's increasingly clear they're bad for the broader economy as well...."

Companies such as Amazon and Microsoft — both headquartered in Seattle, Washington — and New York-headquartered IBM have all sued employees for breaking the terms of their non-compete agreements.

IBM announced during its Think 2021 conference on Monday that its researchers have crafted a Rosetta Stone for programming code. Engadget reports: In effect, we've taught computers how to speak human, so why not also teach computers to speak more computer? That's what IBM's Project CodeNet seeks to accomplish. "We need our ImageNet, which can snowball the innovation and can unleash this innovation in algorithms," [Ruchir Puri, IBM Fellow and Chief Scientist at IBM Research, said during his Think 2021 presentation]. CodeNet is essentially the ImageNet of computers. It's an expansive dataset designed to teach AI/ML systems how to translate code and consists of some 14 million snippets and 500 million lines spread across more than 55 legacy and active languages -- from COBOL and FORTRAN to Java, C++, and Python.

"Since the data set itself contains 50 different languages, it can actually enable algorithms for many pairwise combinations," Puri explained. "Having said that, there has been work done in human language areas, like neural machine translation which, rather than doing pairwise, actually becomes more language-independent and can derive an intermediate abstraction through which it translates into many different languages." In short, the dataset is constructed in a manner that enables bidirectional translation. That is, you can take some legacy COBOL code -- which, terrifyingly, still constitutes a significant amount of this country's banking and federal government infrastructure -- and translate it into Java as easily as you could take a snippet of Java and regress it back into COBOL.

CodeNet can be used for functions like code search and clone detection, in addition to its intended translational duties and serving as a benchmark dataset. Also, each sample is labeled with its CPU run time and memory footprint, allowing researchers to run regression studies and potentially develop automated code correction systems. Project CodeNet consists of more than 14 million code samples along with 4000-plus coding problems collected and curated from decades' of programming challenges and competitions across the globe. "The way the data set actually came about," Puri said, "there are many kinds of programming competitions and all kinds of problems -- some of them more businesslike, some of them more academic. These are the languages that have been used over the last decade and a half in many of these competitions with 1000s of students or competitors submitting solutions." Additionally, users can run individual code samples "to extract metadata and verify outputs from generative AI models for correctness," according to an IBM press release. "This will enable researchers to program intent equivalence when translating one programming language into another." [...] IBM intends to release the CodeNet data to the public domain, allowing researchers worldwide equal and free access.

The New York Times reports on surprising silver linings of the global chip shortage: Even as a chip shortage is causing trouble for all sorts of industries, the semiconductor field is entering a surprising new era of creativity, from industry giants to innovative start-ups seeing a spike in funding from venture capitalists that traditionally avoided chip makers. Taiwan Semiconductor Manufacturing Company and Samsung Electronics, for example, have managed the increasingly difficult feat of packing more transistors on each slice of silicon. IBM on Thursday announced another leap in miniaturization, a sign of continued U.S. prowess in the technology race. Perhaps most striking, what was a trickle of new chip companies is now approaching a flood.

Equity investors for years viewed semiconductor companies as too costly to set up, but in 2020 plowed more than $12 billion into 407 chip-related companies, according to CB Insights. Though a tiny fraction of all venture capital investments, that was more than double what the industry received in 2019 and eight times the total for 2016. Synopsys, the biggest supplier of software that engineers use to design chip, is tracking more than 200 start-ups designing chips for artificial intelligence, the ultrahot technology powering everything from smart speakers to self-driving cars. Cerebras, a start-up that sells massive artificial-intelligence processors that span an entire silicon wafer, for example, has attracted more than $475 million. Groq, a start-up whose chief executive previously helped design an artificial-intelligence chip for Google, has raised $367 million.

"It's a bloody miracle," said Jim Keller, a veteran chip designer whose resume includes stints at Apple, Tesla and Intel and who now works at the A.I. chip start-up Tenstorrent. "Ten years ago you couldn't do a hardware start-up...."

More companies are concluding that software running on standard Intel-style microprocessors is not the best solution for all problems. For that reason, companies like Cisco Systems and Hewlett Packard Enterprise have long designed specialty chips for products such as networking gear. Giants like Apple, Amazon and Google more recently have gotten into the act. Google's YouTube unit recently disclosed its first internally developed chip to speed video encoding.

And Volkswagen even said last week that it would develop its own processor to manage autonomous driving.

An anonymous reader shares a report: Every decade is the decade that tests the limits of Moore's Law, and this decade is no different. With the arrival of Extreme Ultra Violet (EUV) technology, the intricacies of multipatterning techniques developed on previous technology nodes can now be applied with the finer resolution that EUV provides. That, along with other more technical improvements, can lead to a decrease in transistor size, enabling the future of semiconductors. To that end, today IBM is announcing it has created the world's first 2 nanometer node chip. Just to clarify here, while the process node is being called '2 nanometer,' nothing about transistor dimensions resembles a traditional expectation of what 2nm might be. In the past, the dimension used to be an equivalent metric for 2D feature size on the chip, such as 90nm, 65nm, and 40nm. However with the advent of 3D transistor design with FinFETs and others, the process node name is now an interpretation of an 'equivalent 2D transistor' design.

Some of the features on this chip are likely to be low single digits in actual nanometers, such as transistor fin leakage protection layers, but it's important to note the disconnect in how process nodes are currently named. Often the argument pivots to transistor density as a more accurate metric, and this is something that IBM is sharing with us. Today's announcement states that IBM's 2nm development will improve performance by 45% at the same power, or 75% energy at the same performance, compared to modern 7nm processors. IBM is keen to point out that it was the first research institution to demonstrate 7nm in 2015 and 5nm in 2017, the latter of which upgraded from FinFETs to nanosheet technologies that allow for a greater customization of the voltage characteristics of individual transistors. IBM states that the technology can fit '50 billion transistors onto a chip the size of a fingernail.' We reached out to IBM to ask for clarification on what the size of a fingernail was, given that internally we were coming up with numbers from 50 square millimeters to 250 square millimeters. IBM's press relations stated that a fingernail in this context is 150 square millimeters. That puts IBM's transistor density at 333 million transistors per square millimeter (MTr/mm^2).

CES 2022 is going back to Las Vegas following this year's all-digital event, the Consumer Technology Association said Thursday, as coronavirus restrictions ease in the US. The event will take place Jan. 5-8, with media days taking place Jan. 3-4. From a report: Around 1,000 companies -- including Amazon, AMD, AT&T, Daimler AG, Dell, Google, Hyundai, IBM, Intel, Lenovo, LG, Panasonic, Qualcomm, Samsung and Sony -- are on board for the event, according to the CTA, with more being added. You'll also be able to attend digitally. Plans for the event will evolve depending on coronavirus safety measures from the Centers for Disease Control and Prevention, the CTA noted.

Private equity firm Thoma Bravo has announced plans to acquire cybersecurity company Proofpoint in a deal worth $12.3 billion. VentureBeat reports: Founded in 2002 by former Netscape CTO Eric Hahn, Proofpoint was originally known for an email security product that helped businesses identify spam, viruses, and other electric correspondence that might contravene company policies. In the subsequent years, the Sunnyvale, California-based company has expanded its scope to include an array of cloud-based security products designed to protect enterprises from targeted threats. Proofpoint went public back in 2012, with its shares initially trading at around $13 -- these have grown steadily over the past decade, hitting an all-time high of $140 earlier this year and giving it a market capitalization of more than $7 billion.

Thoma Bravo has a track record of taking publicly traded cybersecurity companies private, having done just that with network security company Barracuda in a 2017 deal worth $1.6 billion and with Sophos last year for $3.9 billion. The Proofpoint deal, which is expected to close in Q3 2021, sees Thoma Bravo paying a 34% premium on Proofpoint's closing price at the last full trading day (April 23), with shareholders set to receive $176 for each share they own. It's worth noting that the $12.3 billion price tag positions this as the biggest cybersecurity acquisition of all time, putting it ahead of the $7.68 billion Intel shelled out for McAfee 11 years ago. And by VentureBeat's calculations, the Proofpoint acquisition represents one of the biggest overall technology acquisitions ever, putting it in the top 20, alongside megadeals that include Dell's $67 billion EMC purchase, IBM's $34 billion Red Hat deal, and Salesforce's impending $27.7 billion Slack acquisition.

theodp writes: Code.org on Wednesday announced that dozens of industry, education, and state leaders are supporting a new Code.org AP CS A Java-focused curriculum for high school students, which will be available at no charge to all schools starting in the 2022-23 school year. "We are proud to have the following companies on our Industry Advisory Panel: Adobe, Amazon, Atlassian, Disney, Epic Games, Goldman Sachs, Google, IBM, Instagram, Microsoft, Riot Games, Roblox, Snapchat, Spotify, Tesla, Unity, Vista Equity," Code.org tweeted. "A big thank you to the following colleges and universities on our Education Advisory Panel: @BowieState @UBuffalo @CarnegieMellon @Harvard @montgomerycoll @NCWIT @thisisUIC @Illinois_Alma @unlv @UNOmaha @SpelmanCollege @UT_Dallas @UW @westminsterpa." In an accompanying Medium post, Code.org explained: "This work is all made possible through a generous [$15 million] gift from Amazon Future Engineer."

Despite having the support of some of the world's richest corporations and individuals whose goals the nonprofit helps advance, recently-released SBA records show that Code.org applied for and was approved for its second forgivable Federal Paycheck Protection Program loan in the amount of $1.9 million dollars on March 25, a month after Amazon and Code.org issued a joint press release announcing their $15 million plan to work on a new AP CS A curriculum and other initiatives. Amazon certainly has ambitious plans for influencing K-12 CS education. Last week, the company announced a 2021 goal to "reach 1.6 million underrepresented students globally through Amazon Future Engineer with real world-inspired virtual and hands-on computer science project learning." And an Amazon Future Engineer job listing for a U.S. Country Senior Manager notes the job will require working "with national and local educational non-profits and governmental entities such as BootUp, Project STEM, Code.org, and the US and State Departments of Education," as well as positioning Amazon "as subject matter experts on US computer science education, as well as the local education systems of our headquarter regions."

On Thursday, a federal jury in Seattle, Washington, found that former IBM sales manager Scott Kingston had been unlawfully fired by the company and denied sales commission after challenging the treatment of subordinates as racially biased. And it awarded him $11.1 million. The Register reports: The case dates back to 2017 when two IBM sales people within months of each other closed similarly large software sales deals that led to vastly different commission payments. Nick Donato, who is White, received more than $1m for a SAS Institute deal, while Jerome Beard, who is Black, was paid about $230,000 for closing a sale to HCL Technologies. Beard was paid about 15 per cent of what he should have received under his agreement with IBM, despite a company policy not to cap sales commissions.

Kingston, who managed the two salespeople through two lower-level managers, raised his concerns about racial discrimination with his superiors toward the end of 2017. Recalling his jury testimony, he said of his conversation with his managers, "They were telling me it wasn't about money; it was some other reason. I flat out said, 'You are leaving no possibility for anybody to conclude another reason than racial discrimination. You are foreclosing any other possible conclusion. You are going to get us sued.'" And that's what happened. Beard sued IBM in 2018. After a failed motion by IBM to dismiss the case in April, 2020, the company settled for an undisclosed sum several months later.

Kingston sued in 2019 [PDF], after IBM fired him in April, 2018, claiming he had erred in approving Donato's seven-figure commission. The company also fired two other IBM managers, Andre Temidis and Michael Lee, who raised similar objections to the allegedly discriminatory capping of commission due to an Arab-American salesperson. The Seattle jury found [PDF] IBM violated Washington State law against discrimination and policies against race discrimination and withholding wages. "We are disappointed by the jury's verdict," IBM said in a statement emailed to The Register. "IBM does not condone retaliation, race discrimination, or any other form of discrimination. The company will consider all of its options on appeal."

Nearly a year after the Internet Engineering Task Force took up a plan to replace words that could be considered racist, the debate is still raging. The New York Times: What started as an earnest proposal has stalled as members of the task force have debated the history of slavery and the prevalence of racism in tech. Some companies and tech organizations have forged ahead anyway, raising the possibility that important technical terms will have different meanings to different people -- a troubling proposition for an engineering world that needs broad agreement so technologies work together. While the fight over terminology reflects the intractability of racial issues in society, it is also indicative of a peculiar organizational culture that relies on informal consensus to get things done.

The Internet Engineering Task Force eschews voting, and it often measures consensus by asking opposing factions of engineers to hum during meetings. The hums are then assessed by volume and ferocity. Vigorous humming, even from only a few people, could indicate strong disagreement, a sign that consensus has not yet been reached. The I.E.T.F. has created rigorous standards for the internet and for itself. Until 2016, it required the documents in which its standards are published to be precisely 72 characters wide and 58 lines long, a format adapted from the era when programmers punched their code into paper cards and fed them into early IBM computers. "We have big fights with each other, but our intent is always to reach consensus," said Vint Cerf, one of the founders of the task force and a vice president at Google. "I think that the spirit of the I.E.T.F. still is that, if we're going to do anything, let's try to do it one way so that we can have a uniform expectation that things will function."

IBM has announced a COBOL compiler for Linux on x86. "IBM COBOL for Linux on x86 1.1 brings IBM's COBOL compilation technologies and capabilities to the Linux on x86 environment," said IBM in an announcement, describing it as "the latest addition to the IBM COBOL compiler family, which includes Enterprise COBOL for z/OS and COBOL for AIX." The Register reports: COBOL -- the common business-oriented language -- has its roots in the 1950s and is synonymous with the mainframe age and difficulties paying down technical debt accrued since a bygone era of computing. So why is IBM -- which is today obsessed with hybrid clouds -- bothering to offer a COBOL compiler for Linux on x86? Because IBM thinks you may want your COBOL apps in a hybrid cloud, albeit the kind of hybrid IBM fancies, which can mean a mix of z/OS, AIX, mainframes, POWER systems and actual public clouds.
[...]
But the announcement also suggests IBM doesn't completely believe this COBOL on x86 Linux caper has a future as it concludes: "This solution also provides organizations with the flexibility to move workloads back to IBM Z should performance and throughput requirements increase, or to share business logic and data with CICS Transaction Server for z/OS." The new offering requires RHEL 7.8 or later, or Ubuntu Server 16.04 LTS, 18.04 LTS, or later.

VentureBeat reports on a "next-generation security" technique that allows data to remain encrypted while it's being processed.

"A security process known as fully homomorphic encryption is now on the verge of making its way out of the labs and into the hands of early adopters after a long gestation period." Companies such as Microsoft and Intel have been big proponents of homomorphic encryption. Last December, IBM made a splash when it released its first homomorphic encryption services. That package included educational material, support, and prototyping environments for companies that want to experiment. In a recent media presentation on the future of cryptography, IBM director of strategy and emerging technology Eric Maass explained why the company is so bullish on "fully homomorphic encryption" (FHE)...

"IBM has been working on FHE for more than a decade, and we're finally reaching an apex where we believe this is ready for clients to begin adopting in a more widespread manner," Maass said. "And that becomes the next challenge: widespread adoption. There are currently very few organizations here that have the skills and expertise to use FHE." To accelerate that development, IBM Research has released open source toolkits, while IBM Security launched its first commercial FHE service in December...

Maass said in the near term, IBM envisions FHE being attractive to highly regulated industries, such as financial services and health care. "They have both the need to unlock the value of that data, but also face extreme pressures to secure and preserve the privacy of the data that they're computing upon," he said.
The Wikipedia entry for homomorphic encryption calls it "an extension of either symmetric-key or public-key cryptography."

wiredog shares a ZDNet report: I have literally been covering SCO's legal attempts to prove that IBM illegally copied Unix's source code into Linux for over 17 years. I've written well over 500 stories on this lawsuit and its variants. I really thought it was dead, done, and buried. I was wrong. Xinuos, which bought SCO's Unix products and intellectual property (IP) in 2011, like a bad zombie movie, is now suing IBM and Red Hat [for] "illegally Copying Xinuos' software code for its server operating systems." For those of you who haven't been around for this epic IP lawsuit, you can get the full story with "27 eight-by-ten color glossy photographs and circles and arrows and a paragraph on the back of each one" from Groklaw. If you'd rather not spend a couple of weeks going over the cases, here's my shortened version. Back in 2001, SCO, a Unix company, joined forces with Caldera, a Linux company, to form what should have been a major Red Hat rival. Instead, two years later, SCO sued IBM in an all-out legal attack against Linux.

The fact that most of you don't know either company's name gives you an idea of how well that lawsuit went. SCO's Linux lawsuit made no sense and no one at the time gave it much of a chance of succeeding. Over time it was revealed that Microsoft had been using SCO as a sock puppet against Linux. Unfortunately for Microsoft and SCO, it soon became abundantly clear that SCO didn't have a real case against Linux and its allies. SCO lost battle after battle. The fatal blow came in 2007 when SCO was proven to have never owned the copyrights to Unix. So, by 2011, the only thing of value left in SCO, its Unix operating systems, was sold to UnXis. This acquisition, which puzzled most, actually made some sense. SCO's Unix products, OpenServer and Unixware, still had a small, but real market. At the time, UnXis now under the name, Xinuos, stated it had no interest in SCO's worthless lawsuits. In 2016, CEO Sean Synder said, "We are not SCO. We are investors who bought the products. We did not buy the ability to pursue litigation against IBM, and we have absolutely no interest in that." So, what changed? The company appears to have fallen on hard times. As Synder stated: "systems, like our FreeBSD-based OpenServer 10, have been pushed out of the market." Officially, in his statement, Snyder now says, "While this case is about Xinuos and the theft of our intellectual property, it is also about market manipulation that has harmed consumers, competitors, the open-source community, and innovation itself."

phalse phace writes: During today's "Intel Unleashed: Engineering the Future" webcast, Intel CEO Pat Gelsinger gave an update on the company's future plans and developments, one of which includes a $20 billion investment to build two new chip fabs in Arizona.

The new factories are expected to "become a major provider of foundry capacity in the U.S. and Europe" to serve the global demand for semiconductor manufacturing. "To deliver this vision, Intel is establishing a new standalone business unit, Intel Foundry Services (IFS), led by semiconductor industry veteran Dr. Randhir Thakur. IFS will be differentiated from other foundry offerings with a combination of leading-edge process technology and packaging, committed capacity in the U.S. and Europe, and a world-class IP portfolio for customers, including x86 cores as well as ARM and RISC-V ecosystem IPs." "Gelsinger said the foundry business will compete in a market potentially worth $100 billion by 2025," reports CNBC. "A slide displayed by Intel suggested that companies including Amazon, Google, Microsoft and Qualcomm could be customers for the business."

The company is also partnering with IBM to improve chip logic and packaging technologies, which will "enhance the competitiveness of the U.S. semiconductor industry and support key U.S. government initiatives."

"Even as IBM has sued an increasing number of companies, its IP income has shrunk," reports Bloomberg: Intellectual property rights historically brought in more than $1 billion a year, on average, helping offset massive research and development costs and shrinking revenue. Last year, IBM's income from intellectual property was $626 million, its lowest point since 1996, and 2019 wasn't much higher. While it continues to secure license deals, they are fewer and harder-won, with companies like Airbnb Inc. and Chewy Inc. waging battles in court...

In February, online pet-food seller Chewy requested a court order to block a $36 million patent fee IBM is demanding. Chewy accused IBM of "seeking exorbitant licensing fees for early internet patents having no value." IBM's claims against Chewy include years-old inventions such as targeted advertising and content resizing based on cursor activity, both ubiquitous on the web. Chewy said IBM doesn't make or sell products covered by the vast majority of the thousands of patents it has received over the past 20 years, but instead just threatens to sue if companies don't agree to pay for licenses. IBM has not answered Chewy's complaint, and no trial date has been set.

Companies that use their IP licensing aggressively as a way to make money are often referred to as patent trolls. However, IBM's position as the largest aggregator of U.S. intellectual property is more akin to being a patent godfather, says Robin Feldman, a law professor at the University of California, Hastings. With more than 38,000 active patents in its portfolio, and thousands of license agreements bolstering its legitimacy, IBM's demands have traditionally gone unchallenged, Feldman said. Such patent godfathers, with large portfolios, are "able to make offers that can't be refused." Even some of the most innovative technology giants have licensed IBM patents over the years. Alphabet Inc.'s Google, Amazon.com Inc. and LinkedIn are among countless companies that have had to pony up.

IBM also has long served as a patent bank for young companies to jump-start their portfolios. Facebook Inc. was not yet public in 2012 when it bought 750 patents on software and networking from IBM. As Instacart Inc. prepares to go public, it purchased almost 300 IBM patents in January ranging from e-commerce to smart shopping bags.
Noting a series of Supreme Court verdicts making it easier to invalidate a patent, Feldman, the law professor, told Bloomberg that "Being the godfather isn't what it used to be. It's not that patent aggregation as a business is over. You just make less money."

A Microsoft-led team of physicists has retracted a high-profile 2018 paper that the company touted as a key breakthrough in the creation of a practical quantum computer, a device that promises vast new computing power by tapping quantum mechanics. From a report: The retracted paper came from a lab headed by Microsoft physicist Leo Kouwenhoven at Delft University of Technology in the Netherlands. It claimed to have found evidence of Majorana particles, long-theorized but never conclusively detected. The elusive entities are at the heart of Microsoft's approach to quantum computing hardware, which lags behind that of others such as IBM and Google. WIRED reported last month that other physicists had questioned the discovery after receiving fuller data from the Delft team. Sergey Frolov, from the University of Pittsburgh, and Vincent Mourik, at University of New South Wales, in Australia, said it appeared that data that cast doubt on the Majorana claim was withheld.

Monday, the original authors published a retraction note in the prestigious journal Nature, which published the earlier paper, admitting the whistleblowers were right. Data was "unnecessarily corrected," it says. The note also says that repeating the experiment revealed a miscalibration error that skewed all the original data, making the Majorana sighting a mirage. "We apologize to the community for insufficient scientific rigor in our original manuscript," the researchers wrote. Frolov and Mourik's concerns also triggered an investigation at Delft, which Monday released a report from four physicists not involved in the project. It concludes that the researchers did not intend to mislead but were "caught up in the excitement of the moment," and selected data that fit their own hopes for a major discovery. The report sums up that breach of the norms of the scientific method with a quote from physics Nobel laureate Richard Feynman: "The first principle is that you must not fool yourself -- and you are the easiest person to fool." The Delft lab released raw data from its 2018 experiment Monday. Frolov and Mourik say that it should also release full data from its Majorana hunting project going back until 2010 for others to analyze.