• #Data_for_Black_Lives. Data as protest. Data as accountability. Data as collective action.

    Data for Black Lives is a group of activists, organizers, and mathematicians committed to the mission of using data science to create concrete and measurable change in the lives of Black people.

    Since the advent of computing, #big_data and algorithms have penetrated virtually every aspect of our social and economic lives. These new data systems have tremendous potential to empower communities of color. Tools like statistical modeling, data visualization, and crowd-sourcing, in the right hands, are powerful instruments for fighting bias, building progressive movements, and promoting civic engagement.

    But history tells a different story, one in which data is too often wielded as an instrument of oppression, reinforcing inequality and perpetuating injustice. Redlining was a data-driven enterprise that resulted in the systematic exclusion of Black communities from key financial services. More recent trends like predictive policing, risk-based sentencing, and predatory lending are troubling variations on the same theme. Today, discrimination is a high-tech enterprise.

    Data for Black Lives seeks to mobilize scientists around racial justice issues. At our conference in November, we will convene over two hundred data scientists, computer programmers, racial justice activists, and elected officials to discuss the role that data can and should play in Black communities. Join us January 2019 at MIT for our second annual conference
    #données #résistance #Noirs
    ping @fil @simplicissimus @reka

  • AWS and Mongo and Open Source

    AWS and #mongodb and Open SourceMany people seem to think that the AWS and MongoDB story is about cloud providers and Open Source business models — but the core of it is in fact about cloud providers and selling software licenses. Many companies around Open Source projects make money by also selling licenses to some additional proprietary software but all companies around proprietary software sell licenses.Selling licenses is hard in the presence of cloud providers because cloud providers have a better product, they sell the whole thing, while a license is only a part of the solution. People don’t want to buy a quarter-inch drill, they want a quarter-inch hole.Let me quote Ben Thompson from the linked article:There is a secular shift in enterprise computing moving to the cloud, not because (...)

    #open-source #aws-and-mongodb #amazon #cloud-computing

  • #serverless #computing — The Truth behind the New Business Trend

    Serverless Computing — The Truth Behind the New Business TrendCloud computing has evoked a new hope among enterprises and businesses. Most of the entrepreneurs (including me) have begun to worry less about IT infrastructure. Well, all thanks to the Cloud!At present, serverless computing is the most-talked-about topic in this context. In Google Trends, we saw a huge spike in web searches on serverless architecture. A minimum of 100 web searches on serverless architecture occurs on a daily basis.So, why is there a sudden interest in serverless computing? Is it just a fad or indeed a game-changer?Let’s have a close look!What is Serverless Computing?To newbies, the term serverless would probably shock them. Does this mean there are no servers? Yes, and no. In such an architecture, your (...)

    #cloud-services #serverless-computing #serverless-tech

  • Logistic Regression with #tensorflow and #keras

    Learn logistic regression with TensorFlow and Keras in this article by Armando Fandango, an inventor of AI empowered products by leveraging expertise in deep learning, machine learning, distributed computing, and computational methods. He has also provided thought leadership roles as Chief Data Scientist and Director at startups and large enterprises.This article will show you how to implement a classification algorithm, known as multinomial logistic regression, to identify the handwritten digits #dataset. You’ll use both TensorFlow core and Keras to implement this logistic regression algorithm.Logistic regression with TensorFlowOne of the most popular examples regarding multiclass classification is to label the images of handwritten digits. The classes, or labels, in this example are (...)

    #machine-learning #logistic-regression

  • Top 5 Amazon Web Services or #aws Courses to Learn Online — FREE and Best of Lot

    Top 5 Amazon Web Services or AWS Courses to Learn Online — FREE and Best of LotA list of some free AWS courses to learn Amazon Web Services online at your own paceHello guys, if you want to learn Amazon Web Services, popularly known as AWS and looking for some awesome resources e.g. books, courses, and tutorials then you have come to the right place.In this article, I am going to share some of the best Amazon Web Services or AWS courses which will help you to learn this revolutionary and valuable technology free of cost.Unlike other free courses, these are genuine free AWS courses which are made free by their authors and instructors for the promotional and educational purpose.You just need to enroll with them and then you can learn AWS at any time, at any place and on your own schedule.But, (...)

    #tech #programming #web-development #cloud-computing

  • Building a Quantum Future in Canada

    An Interview with Christian Weedbrook, CEO of Xanadu Quantum TechnologiesChristian Weedbrook addressing senior technologists in Montreal. Photo Courtesy: Morgan StanleyChristian Weedbrook is the Founder and CEO of Xanadu, a quantum technologies company powered by light. Xanadu designs and integrates quantum silicon photonic chips into existing hardware to create truly full-stack quantum computing. Their methods will solve today’s toughest business problems significantly faster than ever imagined.Xanadu just launched the world’s first dedicated machine learning software for quantum computers, called Penny Lane (yes, after the Beatles song). Envisioned as the “TensorFlow of quantum computing,” the hardware-agnostic platform comes with built-in support for existing qubit and photonic quantum (...)

    #startup #technology #machine-learning #quantum-future #quantum-computing

  • #aws for the #ciso — What you always wanted to ask but were too afraid of

    AWS for the CISO — What you always wanted to ask but were too afraid ofWe live in a world that has walls and those walls need to be guarded by men with guns. — Aaron SorkinIf you loved technology at one point of time but now are unable to be up to speed on account of management responsibilities -If the word “Cloud” (strictly in reference to computing) gives you bouts of paranoia around aspects of #security -If you are evaluating cloud proposals but with a lingering tinge of doubt around the security implications -Alone and scared — what lies ahead !!!!!ThenKeep calm and read onDuring the course of my employment wherein, I am involved in the assessment of cloud migration proposals from solution vendors for a global banking giant, I have noticed that there is still a tinge of insecurity amongst the (...)

    #aws-for-the-ciso #tips

  • When Machines Fix Themselves: Alibaba’s Self-healing Hardware Solution

    Alibaba is realizing a closed-loop self-healing hardware strategy to automatically resolve failures.In big data systems, operation and maintenance work plays a crucial role in ensuring that service interruptions from hardware and software failures do not threaten the overall stability of platforms. Given the challenges of doing so in massive data environments, groups such as Alibaba are increasingly seeking automated solutions that simplify response efforts from their responsible personnel, with one recent effort being self-healing hardware systems.For Alibaba, offline computing platform MaxCompute handles a massive 95 percent of all data storage and computing needs, which at the growing scale Alibaba’s business already encompasses hundreds of thousands of server units. Among these (...)

    #big-data #cloud-computing #system-architecture #machines-fix-themselves #devops

  • What’s Shor’s Algorithm? (Quantum Computing Weekly News for Dec 11 2018)

    What’s Shor’s Algorithm? | Quantum Computing Weekly Roundup Dec 11 2018This is a syndicated version of my weekly e-mail round-up of news about Quantum Computing. Visit the homepage to subscribe to updates and check out previous issues.👋 Hi there, and thank you for taking a look at lucky issue #7!Last week we had a great profile on Anastasia Marchenkova, and I highly recommend checking it out if you missed it, and I’m excited to say that we already have a new guest lined up for January! 🎉Looking for a particular area of quantum computing you’d like to see covered in the next issue? Ping me and let me know!Tiny Fact of the weekWhat’s this Shor’s algorithm thing I keep on hearing about? In short, it’s a quantum algorithm which is able to answer a very computationally difficult question relatively (...)

    #encryption #cryptography #quantum-computer #quantum-computing

  • Computing Cost Paradigms Have Shifted Dramatically — Have Your Management Techniques?

    Computing Cost Paradigms Have Shifted Dramatically — Have Your Management Techniques?You need to rethink how your company deals with computing costsThere has been a fundamental, technology-driven switch in computing costs from fixed and step costs to marginal costs. This trend has accelerated over the last five years and it is necessitating a change in the way many businesses make decisions and manage their computing costs. It will eventually impact everything from pricing strategy, to cost management, corporate reporting structures, security analysis and financial reporting. So, basically everything. Unfortunately most companies are managing computing costs using outdated paradigms, toolsets, and organizational structures and missing out on a lot of bottom line profit in the  (...)

    #cloud-computing #dynamic-pricing #cloud-infrastructure #computing-cost-paradigms #startup

  • #aws: Some Tips for Avoiding Those “Holy Bill” Moments

    Cloud is awesome, but it can hurt really bad when it bites back on your wallet.Cloud is awesome: almost-100% availability, near-zero maintenance, pay-as-you-go, and above all, infinitely scalable.But the last two can easily bite you back, turning that awesomeness into a billing nightmare.And occasionally you see stories like:Lambda programming errors that could cost you thousands of dollars a day!Holy Bill!And here I unveil a few tips that we learned from our not-so-smooth journey of building the world’s first serverless IDE, that could help others to avoid some “interesting” pitfalls.Careful with that config!One thing we learned was to never underestimate the power of a configuration.If you read the above linked article you would have noticed that it was a simple misconfiguration: a (...)

    #holy-bill-moments #s3 #ec2 #cloud-computing

  • How to Figure Out #aws Pricing for a Mobile Application

    There are lots of reasons why businesses choose Amazon Web Services cloud for their apps. Companies get storage, analytics, computing, and many other services using one global platform. AWS is taking good care of its clients, lowering tech costs and speeding up the development process. What else can a company owner ask for? You must be thinking about transparent pricing options at the moment.In this article, we’re reviewing AWS features specifically for mobile applications, their pricing, and free trial options. And finally, we’re going to figure out what an AWS calculator is and how it can help you in your work.Benefits of Using AWS for Your Mobile ApplicationDespite the complexity of AWS pricing system, we have to mention its three most important benefits that can help your business  (...)

    #mobile-app-development #amazon-web-services #aws-lambda

  • CppCast Episode 177: BDD, TDD, Low Latency and CppCon with Lenny Maiorani

    Episode 177 of CppCast the first podcast for C++ developers by C++ developers. In this episode Rob and Jason are joined by Lenny Maiorani to discuss TDD, BDD, Low Latency and CppCon moving to Denver.

    CppCast Episode 177: BDD, TDD, Low Latency and CppCon with Lenny Maiorani by Rob Irving and Jason Turner

    About the interviewee:

    Lenny has been using C++ off and on since 1995. Since graduating from SUNY Plattsburgh with a degree in Computer Science, he has been working at startups focused on high-throughput applications. About 2 years ago he joined Quantlab and discovered a different type of high-performance computing in low latency systems. Lenny lives in Denver, Colorado with his wife Lexey and their dog. He can be found hiking in the Colorado mountains while thinking about (...)


  • TDD, BDD, Low Latency and CppCon with Lenny Maiorani

    Rob and Jason are joined by Lenny Maiorani from Quantlab to discuss high performance computing, pair programming, volunteering for CppCon and the site of next year’s CppCon. Lenny has been using C++ off and on since 1995. Since graduating from SUNY Plattsburgh with a degree in Computer Science, he has been working at startups focused on high-throughput applications. About 2 years ago he joined Quantlab and discovered a different type of high-performance computing in low latency systems. Lenny lives in Denver, Colorado with his wife Lexey and their dog. He can be found hiking in the Colorado mountains while thinking about container access patterns and wondering if std::map can be renamed to std::ordered_map. News Better template support and error detection in C++ Modules with MSVC (...)

  • Emojis in #aws Instance Names

    This Gen Z Dev is addicted to emojis so much! He uses them for AWS instance names as well! His Gen X manager is totally annoyed.Do you use emojis in AWS instance names??!!Or, are you looking for ways to set the instance name? If so, here’s one below:ec2addtag i-??????? —tag Name=a-fancy-nameFor more information, check out this AWS CLI Command reference document.Subscribe to our Newsletter and get comics and other super useful AWS blogs quickly delivered to your inbox.Originally published at on October 23, 2018.Emojis in AWS Instance Names was originally published in Hacker Noon on Medium, where people are continuing the conversation by highlighting and responding to this (...)

    #aws-ec2 #devops #site-reliability-engineer #cloud-computing

  • New Meaning to Grab and Go: Alibaba Unveils its Unmanned Store

    Alibaba’s the Tmall Future Store shows how technology can help offline merchants thrive in the e-commerce ageIf you’ve ever waited in line impatiently to pay for groceries, chances are you’ve wished you could escape the typical service experience we all tend to encounter as shoppers. While delivery and e-commerce services offer one alternative for people hoping to avoid the hassle, a more recent effort at Alibaba is making it likely that you’ll soon be shopping in stores that let you walk in, grab what you need, and pay automatically as you walk out, simplifying #retail for shoppers and merchants alike.To showcase its progress, Alibaba recently unveiled an experimental 80-square meter installation of its new Tmall Future Store at the 2018 Yunqi Computing Conference, inviting attendees to (...)

    #ecommerce #artificial-intelligence #computer-vision #cloud-computing

  • How #blockchain is Changing Money Transfers

    In our current time of drastic and revolutionary changes, it is imperative to radically rethink business models and archetypes in general. This article will discuss the merits of blockchain, its impact on the financial system and the experiments some companies have conducted in this area.Traditional financial services providers, banks in particular, are lagging behind the pace of technology development. According to one report from Accenture, most large banks use systems from the 1970s or even the 1960s, and newer computing technologies are simply laid on top of this foundation to support providing banking services online or via mobile devices. This means that the lion’s share of money goes to support the operational status of these systems, and not to introducing innovations. This, (...)

    #blockchain-transfers #blockchain-application #payments #money-transfers

  • The Amazing Performance of C++17 Parallel Algorithms, is it Possible?—Bartlomiej Filipek

    Are you using it?

    The Amazing Performance of C++17 Parallel Algorithms, is it Possible? by Bartlomiej Filipek

    From the article:

    With the addition of Parallel Algorithms in C++17, you can now easily update your “computing” code to benefit from parallel execution. In the article, I’d like to examine one STL algorithm which naturally exposes the idea of independent computing. If your machine has 10-core CPU, can you always expect to get 10x speed up? Maybe more? Maybe less? Let’s play with this topic.


  • Tips On How To Maximize Your Data Science Team’s ROI

    The value of using data to make rational and accurate decisions is not new. From generals to great fictional detectives, people have relied on data to make the right decision and find the answer. Just in the same way businesses have been doing it for the past century.Even before data science was a term or the words data-driven decisions flew through every boardroom. Using data to make better good choices and rational decisions existed. Why? Because it works. With the power of increased computing and easy to use analytical programming libraries analyzing massive amounts of data just got that much easier.So then why is it that we have so many libraries to help analysts, data sources, increased computing, etc is it still difficult for some teams to produce concrete ROI?Even with all of the (...)

    #data-analytics #data-science #data-science-teams #data-science-roi #big-data

  • Wanted: Managed Services for Murdering #devops

    The growth of managed services has provided the developers with #cloud-based infrastructure management tools, thus making the DevOps teams obsolete for startups and small businesses.After the introduction of Agile methodology the developers, operations engineers, and QA specialists received powerful tools for streamlining the delivery of new software. Their teams became more closely connected, as developers stopped tossing the code over the wall for Ops engineers to deploy and maintain.The software delivery became iterative and the teams were forced to go through the same process over and over again. They began to realize it’s better to solve the issue once it’s found in order not to provide the fixes after each iteration. This bolstered the communication and collaboration between the (...)

    #startup #outsourcing #cloud-computing

  • A Dark Consensus About Screens and Kids Begins to Emerge in Silicon Valley - The New York Times

    SAN FRANCISCO — The people who are closest to a thing are often the most wary of it. Technologists know how phones really work, and many have decided they don’t want their own children anywhere near them.

    A wariness that has been slowly brewing is turning into a regionwide consensus: The benefits of screens as a learning tool are overblown, and the risks for addiction and stunting development seem high. The debate in Silicon Valley now is about how much exposure to phones is O.K.

    “Doing no screen time is almost easier than doing a little,” said Kristin Stecher, a former social computing researcher married to a Facebook engineer. “If my kids do get it at all, they just want it more.”

    Among those is Chris Anderson, the former editor of Wired and now the chief executive of a robotics and drone company. He is also the founder of

    “On the scale between candy and crack cocaine, it’s closer to crack cocaine,” Mr. Anderson said of screens.

    Technologists building these products and writers observing the tech revolution were naïve, he said.

    “We thought we could control it,” Mr. Anderson said. “And this is beyond our power to control. This is going straight to the pleasure centers of the developing brain. This is beyond our capacity as regular parents to understand.”

    He has five children and 12 tech rules. They include: no phones until the summer before high school, no screens in bedrooms, network-level content blocking, no social media until age 13, no iPads at all and screen time schedules enforced by Google Wifi that he controls from his phone. Bad behavior? The child goes offline for 24 hours.

    “I didn’t know what we were doing to their brains until I started to observe the symptoms and the consequences,” Mr. Anderson said.

    #Addiction #Education #Ecrans #Enfants

  • Is Amazon worth $1 trillion ?

    From an e-commerce platform to cloud computing services to fresh food delivery, Amazon’s business activity is developing at a pace so fast it’s almost hard to keep up with. At the end of August 2018, its market cap hit $1 trillion, with shares worth more than 2000 dollars. But Amazon is also under harsh criticism from former and current employees. Numerous controversies have surfaced that tarnish not only Bezos’ leadership, but the general self-entitlement of tech mega companies. For all of (...)

    #WholeFoods #Amazon #Amazon's_Prime #algorithme #CCTV #bénéfices #reconnaissance #facial #cloud (...)


  • A Programming Language With Only One Command and the Anti-Imperialist Operating System Built on it -

    C’est tellement agréable de se rendre compte qu’il y a toujours des gens qui luttent pour un meilleur monde :-)


    While subleq may seem like it would quickly become a tragic tangle of pointers on a large project, Geri found its minimalism an antidote to the dystopia of the current computing world. He sees chip and OS development as essentially political acts in a market dominated by corporate inefficiency. DawnOS is a sophisticated and fully usable system, supporting touchscreen interface, onscreen and physical keyboards, sound input and output, and even has games like chess and amoeba. Even running on a virtual cpu (the physical cpu has not yet been created), it outpaces Windows and Linux. I spoke with Geri about his project; his English is sometimes a little rough, but his passion comes through clearly.

    » How did you get started on this project? Why did you choose to work with the SUBLEQ for DawnOS?

    i felt very unsatisfyed with both gnu/linux and windows. as the time elapsed, the feeling started to become even stronger: linux and windows became bigger and slower, linux now employs 5-10k worthless packages to paint icons on the screen, meanwhile it not even supports icons for the binaries. basically every linux software needs hundreds of packages to downloaded separately from internet, as they are created by scripters who randomly using external libraries to even perform an rgb to bgr conversion, and not real programmers who have a clue about writing programs. the newest kde needs 30 seconds to bring up the start menu on my 1,6 ghz atom netbook. windows also stuck in its life - corporative clowns have overtaken the development: they just randomly gathered around some camp fire, and they decided they dont need a start menu. this decision cost them probably very lot, as they placed it back in windows10, too bad now it will show advertisements if you click on it. they totally failed to enter the arm market, they probably had no employer with the abilities of writing a application level x86 emulator to run at least the existing applications, and they still were unable to release one. these are serious problems, it indicates that both gnu/linux and windows is on the brink of death. the real creators who had technical or any other kownedge or sense left these areas long time ago. there are also lack of technical knowledge at linux side, for example, most linux distributions cant even detect the cpu type, and force a kernel using PAE or SSE kernel on a 6x86 cpu, which of course will crash at boot. not to mention linux kernel instantly crashes if it runs out the ram, and this bug has not been fixed in the last 20 years, even if it is technically possible to do so on complex hardware… no real development on windows or linux has been made in the past 2 decade.

    this maybe sounds egoistic, but its actually true, and after a day, where i experienced some very nasty problems from the existing operating systems, i decided to create my own operating system.

    #informatique #révolution

    • J’adore le point du vue du développeur, trollesque à souhait...

      i had no clue what platform should i target. i originally planned x86, but i realized how bad it is - after all, current x86 is the result of approx 30+ years of work of 1 million hardware developer, all added his own poop into it to have a cpu. some idiot waked up at morning, and decided to add a MOV with his very own shitty prefixes and various different encodings. another idiot waked up at morning, and decided to add a floating point instruction which adds integers to floating point, and stores the results in a floating point register. another idiot waken up, and decided to add an opcode for adding 4 numbers simultanously. 1500 idiot waken up, added his own opcode, various memory addressing modes, and todays x86 has been born, with one billion transistors minimum just to have an operating system boot. not to mention every opcode has random lenght, and encapsulates a semi-undocumented segmentation, which creates an x86 so complex, that our x86 cpus are actually risc cpus emulating x86. no corporation can make x86 processors any more, they are so complex at least 20 years of work from a 10000 ic design professional persons would need it to even have windows booted (not to mention that a compatible io system also must be created). x86 is a form of opression, one of the main reasons we didnt had any real step forwards.

  • Melinda Gates’ New Research Reveals Alarming Diversity Numbers | WIRED

    Point de vue de milliardaire : Nous sommes en mal d’ engineers (à l’américaine) pour nos boîtes et mes copines n’arrivent toujours qu’avec les armes d’une femme traditionnelle à contrôler les affaires de leurs maris. En plus nous rendons les system instable qui nous nourrit si nous acceptons que les différences de race freinent la promotion des êtres les plus doués.

    C’est très bien si MG met à disposition une petite partie de ses milliards pou aider les femmes défavorisées. C’est déjà moins bien quand c’est fait dans la perspective de pouvoir encore mieux nous contrôler et exploiter. Elle est peut-être en train de préparer le chemin pour la première femme présidente des États Unis qui ne sera toujours que la représentante d’une association de malfaiteurs et de ses bandes armées.

    Alors que faire pour récupérer sa fondation afin de former les révolutionnaires dont nous, les petits gens avons besoin ? Il ne faut pas se contenter d’une part de gateau. Il faut mettre la main sur la pâtisserie entière ;-)

    The report arrives two years after Melinda Gates announced plans to build up a personal office, Pivotal Ventures, to dedicate resources and attention to supporting women in tech.

    EXECUTIVES AT TECH companies say gender diversity matters. They opine that there aren’t enough women in tech, and express outrage and frustration that just 11 percent of senior tech leaders are women. But in reality they spend very little of their philanthropic dollars attempting to close this gender and race gap, according to new research released today by Melinda Gates in partnership with McKinsey & Company.

    Last year, according to the report, only 5 percent of companies’ philanthropic giving went to programs that focused explicitly on women and girls in tech. And less than 0.1 percent of their grants went to programming for women of color—a group whose representation in tech is getting worse. Over the past decade, the ratio of black, Latina, and Native American women receiving computing degrees has dropped by a third, from 6 percent to just four percent.

    The companies investigated found that last figure so alarming that twelve of the 32 participants are taking immediate action. They’re uniting to form the Reboot Recognition Tech Coalition, a joint effort by companies like Microsoft, Qualcomm, and LinkedIn to close the gender gap for women of color in tech. They aim to double the number of underrepresented women of color graduating with computer science degrees by 2025, and they’re collectively pledging $12 million toward this goal over three years. This group will coordinate to direct their giving collectively, with the twin goals of creating a set of guidelines that will revamp the computer science major to appeal more to women of color and while building dedicated communities that will support these women within the industry, among other things.

    Gates has long contended that collecting data is critical to addressing the social challenges she has spent the second part of her career tackling as a philanthropist; companies may say they care deeply about problems, but until the research exists to show them exactly what the problem looks like, how it’s changing, and what measures have been shown to be effective in addressing it, not much changes. It’s the same insight Tracy Chou had when, as a programmer at Pinterest in 2013, she published a Medium post asking her peers to contribute the number and percentage of female engineers they employed.

    The report arrives two years after Gates announced plans to build up a personal office, Pivotal Ventures, to dedicate resources and attention to supporting women in tech—in addition to the work she does with the Bill & Melinda Gates Foundation. When we spoke about it then, she voiced the need for more research. “I can’t go convince governments to work on female issues unless I have data,” she said, adding, “Transparency is one of the first things that makes change.”

    Entitled “Reboot Representation: Using CSR and Philanthropy to Close the Gender Gap in Tech,” the report reviews how 32 large tech companies, including Google, eBay and Salesforce have worked internally to support women and close the gender gap. Taken together, these companies brought in $500 billion in sales last year, and they spent more than $500 million on philanthropy. Of that, $24 million went to support programming for women and girls and just $335,000 targeted at programs aimed at women of color.

    In addition to surveying companies about their existing strategies, researchers spoke with more than 100 leaders in the field to determine what strategies were proving effective. The resulting research forms a playbook for companies interested in promoting and supporting gender diversity more effectively. It includes tips for what makes programs successful, advice on how to pick and set a strategy that is in line with a company’s business objectives, and a self-assessment to help companies figure out whether their efforts are working.

    Researchers discovered that companies often didn’t spend their money in data-driven research-underlined ways: Two-thirds of the the companies surveyed concentrated their funding on programs for kids between kindergarten and 12th grade, while research suggests that programs targeting college-age women to bolster their enthusiasm for the field before they choose majors and commit to a career, were more effective. “Few invest philanthropically earlier in higher education to build the cohort they will ultimately recruit from,” write the reports’ authors.

    What’s more, companies rarely coordinate these philanthropic efforts. Within an institution, there are often multiple people working on gender and racial parity, within in human resources, diversity and inclusion teams, or as part of a corporate social responsibility strategy. Yet there’s rarely one person overseeing it all.

    The most important things companies can do, according to Gates, is coordinate these efforts. That’s why she’s excited about the potential of the coalition. As she blogged today, “By working together, they will be able to reach more young women.” The answer to the everyone-in-hoodies problem is not a silver bullet, but a concentrated, industry-wide effort to solve problems the way computer scientists solve problems: methodically, by collecting data, understanding the issues, and testing strategies until the problem is solved.

    #féminisme_de_droite #nantis #ONG

  • How to build a quantum-entangled #blockchain that travels through time

    This article is one in a series of my 🍌Banana Papers — blockchain whitepapers re-written in an easy to digest (like bananas!) manner. My goal is to help readers quickly understand and evaluate complex blockchain ideas with minimal pain.It’s difficult to write about quantum physics.First, it’s complicated. Much more complicated than, say, blockchain. In blockchain, if needed, I can open the code in a text editor, or spend an afternoon reading about game theory, and the whitepapers make sense. But quantum physics is a magnitude more complicated, explaining abstract theories in mathematical terms rather than in visible realities (in the sense that code is a visible reality). Quantum physics requires a depressingly-wide foundation of knowledge in order to offer up more than a recapitulation of (...)

    #bitcoin #science #ethereum #quantum-computing