Fermilab to lead $115 million National Quantum Information Science Research Center to build revolutionary quantum computer with Rigetti Computing,…

One of the goals of theSuperconducting Quantum Materials and Systems Centeris to build a beyond-state-of-the-art quantum computer based on superconducting technologies.The center also will develop new quantum sensors, which could lead to the discovery of the nature of dark matter and other elusive subatomic particles.

The U.S. Department of Energys Fermilab has been selected to lead one of five national centers to bring about transformational advances in quantum information science as a part of the U.S. National Quantum Initiative.

The initiative provides the newSuperconducting Quantum Materials and Systems Centerfunding with the goal of building and deploying a beyond-state-of-the-art quantum computer based on superconducting technologies. The center also will develop new quantum sensors, which could lead to the discovery of the nature of dark matter and other elusive subatomic particles. Total planned DOE funding for the center is $115 million over five years, with $15 million in fiscal year 2020 dollars and outyear funding contingent on congressional appropriations. SQMS will also receive an additional $8 million in matching contributions from center partners.

The SQMS Center is part of a federal program to facilitate and foster quantum innovation in the United States. The 2018 National Quantum Initiative Act called for a long-term, large-scale commitment of U.S. scientific and technological resources to quantum science.

The revolutionary leaps in quantum computing and sensing that SQMS aims for will be enabled by a unique multidisciplinary collaboration that includes 20 partners national laboratories, academic institutions and industry. The collaboration brings together world-leading expertise in all key aspects: from identifying qubits quality limitations at the nanometer scale to fabrication and scale-up capabilities into multiqubit quantum computers to the exploration of new applications enabled by quantum computers and sensors.

The breadth of the SQMS physics, materials science, device fabrication and characterization technology combined with the expertise in large-scale integration capabilities by the SQMS Center is unprecedented for superconducting quantum science and technology, said SQMS Deputy Director James Sauls of Northwestern University. As part of the network of National QIS Research centers, SQMS will contribute to U.S. leadership in quantum science for the years to come.

SQMS researchers are developing long-coherence-time qubits based on Rigetti Computings state-of-the-art quantum processors. Image: Rigetti Computing

At the heart of SQMS research will be solving one of the most pressing problems in quantum information science: the length of time that a qubit, the basic element of a quantum computer, can maintain information, also called quantum coherence. Understanding and mitigating sources of decoherence that limit performance of quantum devices is critical to engineering in next-generation quantum computers and sensors.

Unless we address and overcome the issue of quantum system decoherence, we will not be able to build quantum computers that solve new complex and important problems. The same applies to quantum sensors with the range of sensitivity needed to address long-standing questions in many fields of science, said SQMS Center Director Anna Grassellino of Fermilab. Overcoming this crucial limitation would allow us to have a great impact in the life sciences, biology, medicine, and national security, and enable measurements of incomparable precision and sensitivity in basic science.

The SQMS Centers ambitious goals in computing and sensing are driven by Fermilabs achievement of world-leading coherence times in components called superconducting cavities, which were developed for particle accelerators used in Fermilabs particle physics experiments. Researchers have expanded the use of Fermilab cavities into the quantum regime.

We have the most coherent by a factor of more than 200 3-D superconducting cavities in the world, which will be turned into quantum processors with unprecedented performance by combining them with Rigettis state-of-the-art planar structures, said Fermilab scientist Alexander Romanenko, SQMS technology thrust leader and Fermilab SRF program manager. This long coherence would not only enable qubits to be long-lived, but it would also allow them to be all connected to each other, opening qualitatively new opportunities for applications.

The SQMS Centers goals in computing and sensing are driven by Fermilabs achievement of world-leading coherence times in components called superconducting cavities, which were developed for particle accelerators used in Fermilabs particle physics experiments. Photo: Reidar Hahn, Fermilab

To advance the coherence even further, SQMS collaborators will launch a materials-science investigation of unprecedented scale to gain insights into the fundamental limiting mechanisms of cavities and qubits, working to understand the quantum properties of superconductors and other materials used at the nanoscale and in the microwave regime.

Now is the time to harness the strengths of the DOE laboratories and partners to identify the underlying mechanisms limiting quantum devices in order to push their performance to the next level for quantum computing and sensing applications, said SQMS Chief Engineer Matt Kramer, Ames Laboratory.

Northwestern University, Ames Laboratory, Fermilab, Rigetti Computing, the National Institute of Standards and Technology, the Italian National Institute for Nuclear Physics and several universities are partnering to contribute world-class materials science and superconductivity expertise to target sources of decoherence.

SQMS partner Rigetti Computing will provide crucial state-of-the-art qubit fabrication and full stack quantum computing capabilities required for building the SQMS quantum computer.

By partnering with world-class experts, our work will translate ground-breaking science into scalable superconducting quantum computing systems and commercialize capabilities that will further the energy, economic and national security interests of the United States, said Rigetti Computing CEO Chad Rigetti.

SQMS will also partner with the NASA Ames Research Center quantum group, led by SQMS Chief Scientist Eleanor Rieffel. Their strengths in quantum algorithms, programming and simulation will be crucial to use the quantum processors developed by the SQMS Center.

The Italian National Institute for Nuclear Physics has been successfully collaborating with Fermilab for more than 40 years and is excited to be a member of the extraordinary SQMS team, said INFN President Antonio Zoccoli. With its strong know-how in detector development, cryogenics and environmental measurements, including the Gran Sasso national laboratories, the largest underground laboratory in the world devoted to fundamental physics, INFN looks forward to exciting joint progress in fundamental physics and in quantum science and technology.

Fermilab is excited to host this National Quantum Information Science Research Center and work with this extraordinary network of collaborators, said Fermilab Director Nigel Lockyer. This initiative aligns with Fermilab and its mission. It will help us answer important particle physics questions, and, at the same time, we will contribute to advancements in quantum information science with our strengths in particle accelerator technologies, such as superconducting radio-frequency devices and cryogenics.

We are thankful and honored to have this unique opportunity to be a national center for advancing quantum science and technology, Grassellino said. We have a focused mission: build something revolutionary. This center brings together the right expertise and motivation to accomplish that mission.

The Superconducting Quantum Materials and Systems Center at Fermilab is supported by the DOE Office of Science.

Fermilab is supported by the Office of Science of the U.S. Department of Energy. The Office of Science is the single largest supporter of basic research in the physical sciences in the United States and is working to address some of the most pressing challenges of our time. For more information, visit science.energy.gov.

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BBVA Uncovers The Promise Of Quantum Computing For Banking And Financial Services – Forbes

Computers have underpinned the digital transformation of the banking and financial services sector, and quantum computing promises to elevate this transformation to a radically new level. BBVA, the digital bank for the 21st centuryestablished in 1857 and today the second largest bank in Spainis at the forefront of investigating the benefits of quantum computing.

Will quantum computing move banking to a new level of digital transformation?

We are trying to understand the potential impact of quantum computing over the next 5 years, says Carlos Kuchkovsky, global head of research and patents at BBVA. Last month, BBVA announced initial results from their recent exploration of quantum computings advantage over traditional computer methods. Kuchkovskys team looked at complex financial problems with many dimensions or variables that require computational calculations that sometimes take days to complete. In the case of investment portfolio optimization, for example, they found that the use of quantum and quantum-inspired algorithms could represent a significant speed-up compared to traditional techniques when there are more than 100 variables.

Carlos Kuchkovsky, Global Head of Research and Patents, BBVA

After hiring researchers with expertise in quantum computing, BBVA identified fifteen challenges that could be solved better with quantum computing, faster and with greater accuracy, says Kuchkovsky. The results released last month were for six of these challenges, serving as proofs-of-concept for, first and foremost, the development of quantum algorithms and also for their application in the following five financial services tasks: Static and dynamic portfolio optimization, credit scoring process optimization, currency arbitrage optimization, and derivative valuations and adjustments.

Another important dimension of BBVAs quantum computing journey is developing an external network. The above six proofs-of-concept were pursued in collaboration with external partners bringing to the various investigations their own set of skills and expertise: The Spanish National Research Council (CSIC), the startups Zapata Computing and Multiverse, the technology firm Fujitsu, and the consulting firm Accenture.

Kuchkovsky advises technology and business executives in other companies, in any industry, to follow BBVAs initial stepssurveying the current state of the technology and the major players, developing internal expertise and experience with quantum computing and consolidating the internal team, identifying specific business problems, activities and opportunities where quantum computing could provide an advantage over todays computers, and develop an external network by connecting to and collaborating with relevant research centers and companies.

As for how to organize internally for quantum computing explorations, Kuchkovsky thinks there could be different possibilities, depending on the level of maturity of the research and technology functions of the business. In BBVAs case, the effort started in the research function and he thinks will evolve in a year or two to a full-fledged quantum computing center of excellence.

Quantum computing is evolving rapidly and Kuchkovsky predicts that in five years, companies around the world will enjoy full access to quantum computing as a service and will benefit from the application of quantum algorithms, also provided as a service. Specifically, he thinks we will see the successful application of quantum computing to machine learning (e.g., improving fraud detection in the banking sector). With the growing interest in quantum computing, Kuchkovsky believes that in five years there will be a sufficient supply of quantum computing talent to satisfy the demand for quantum computing expertise.

The development of a talent pool of experienced and knowledgeable quantum computing professionals depends among other things on close working relationships between academia and industry. These relationships tend to steer researchers towards practical problems and specific business challenges and, in turn, helps in upgrading the skills of engineers working in large corporations and orient them toward quantum computing.

In Kuchocvskys estimation, the connection between academia and industry is relatively weaker in Europe compared to the United States. But there are examples of such collaboration, such as BBVAs work with CSIC and the European Unions Quantum Technologies Flagship, bringing together research centers, industry, and public funding agencies.

On July 29, Fujitsu announced a new collaboration with BBVA, to test whether a quantum computer could outperform traditional computing techniques in optimizing asset portfolios, helping minimize risk while maximizing returns, based on a decades worth of historical data. In the release, Kuchkovsky summarized BBVAs motivation for exploring quantum computing: Our research is helping us identify the areas where quantum computing could represent a greater competitive advantage, once the tools have sufficiently matured. At BBVA, we believe that quantum technology will be key to solving some of the major challenges facing society this decade. Addressing these challenges dovetails with BBVAs strategic priorities, such as fostering the more efficient use of increasingly greater volumes of data for better decision-making as well as supporting the transition to a more sustainable future.

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BBVA Uncovers The Promise Of Quantum Computing For Banking And Financial Services - Forbes

Quantum Computing in Aerospace and Defense Market 2020-2025 Covid-19 Updates With Key Players D-Wave Systems Inc, Qxbranch LLC, IBM Corporation -…

Market Scenario of the Quantum Computing in Aerospace and Defense Market:

The most recent Quantum Computing in Aerospace and Defense Market Research study includes some significant activities of the current market size for the worldwide Quantum Computing in Aerospace and Defense market. It presents a point by point analysis dependent on the exhaustive research of the market elements like market size, development situation, potential opportunities, and operation landscape and trend analysis. This report centers around the Quantum Computing in Aerospace and Defense-business status, presents volume and worth, key market, product type, consumers, regions, and key players.

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The prominent players covered in this report: D-Wave Systems Inc, Qxbranch LLC, IBM Corporation, Cambridge Quantum Computing Ltd, 1qb Information Technologies Inc., QC Ware Corp., Magiq Technologies Inc., Station Q-Microsoft Corporation, and Rigetti Computing

The market is segmented into By Component (Hardware, Software, Services), By Application (QKD, Quantum Cryptanalysis, Quantum Sensing, Naval)

Geographical segments are North America, Europe, Asia Pacific, Middle East & Africa, and South America.

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Quantum Computing in Aerospace and Defense

Finally, the researchers throw light on different ways to discover the strengths, weaknesses, opportunities, and threats affecting the growth of the Global Quantum Computing in Aerospace and Defense Market. The feasibility of the new report is also measured in this research report.

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Microsoft to train 900 teachers as part of the Train the Trainer initiative to develop quantum computing workforce in India – Jagran Josh

Microsoft will be launching a new programme to build quantum computing skills and capabilities among the academic community in India. The tech giant will be training 900 faculty members in the country from top institutions in India.

Organized by Microsoft Garage the Train the Trainer programme will be conducted in collaboration with Electronic and ICT Academies as part of the initiative at Malaviya National Institute of Technology, Jaipur and National Institute of Technology, Patna.

According to the details provided, the company will train 900 faculty members from universities and institutions across the country through Electronic and ICT academies at institutes of national importance including MNIT Jaipur, IIT Guwahati, IIT Kanpur, IIT Roorkee, NIT Patna, IIIT-D Jabalpur, and NIT Warangal. The faculty members will be equipped with the required skills to start building their quantum future.

Quantum Computing applies the properties of quantum physics to process information and enables new discoveries in healthcare, energy, environmental systems, smart materials, and more. The capabilities to develop this quantum future will be brought by Microsoft to the cloud with Azure Quantum which is an open cloud ecosystem enabling developers to access diverse quantum software, hardware along with solutions from Microsoft and its partners. Built on the Azure Cloud platform of Azure, it will continue to adapt to the rapidly evolving cloud future of Microsoft.

The quantum training programme by Microsoft will support the initiative by the Ministry of Electronics and Information Technology through E&ICT academies, to enhance the skills of the academicians in imparting next level technological skills for the future.

According to a statement released, the important aspects which will be covered includes an introduction to quantum information, quantum concepts including superposition and entanglement, processing of information using qubits and quantum gates along with the introduction of quantum machine learning and quantum programming.

Managing Director and Corporate Vice President - Microsoft India Development Center, Enterprise+Devices India - Rajiv Kumar stated that India is well known across the world for its science, technology, engineering, mathematics, and computing workforce, and its tech capable people and through this initiative the company aims to develop the skills in quantum which has the potential to trigger the new concepts of innovation which will shape the future of the IT industry in the country.

Also Read: Jadavpur University starts Virtual Classes for Arts and Science students, Study materials available on official website jaduniv.edu.in

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Microsoft to train 900 teachers as part of the Train the Trainer initiative to develop quantum computing workforce in India - Jagran Josh

Global Open Source Software Market 2020 Research Report With COVID-19 Update Key Players Analysis, Growth Factors and Forecast to 2025 – The News…

Heres a recently issued report titled Global Open Source Software Market 2020 by Company, Regions, Type and Application, Forecast to 2025 to our huge collection of research reports. The report offers a detailed analysis of the market size, demand, supply chain, market growth elements, and futuristic trends. The report contains an in-depth study of the current trends leading to this vertical trend in various regions. The report sheds light on the restraints, thoughtful insights, current growth drivers, market segmentation, market share, market size, applications, and statistics. The report includes segments by type & application, region, and major players. It also analyzes global Open Source Software market segmentation with respect to product usage and geographical conditions, key developments taking place in the market, competitor analysis, and the research methodology.

This report focused and concentrates on these companies including: Intel, Alfresco, Transcend, Epson, OpenText, IBM, RethinkDB, Acquia, Oracle, Astaro, Continuent, Canonical, Compiere, ClearCenter, Cleversafe

NOTE: Our report highlights the major issues and hazards that companies might come across due to the unprecedented outbreak of COVID-19.

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The report assists stakeholders to maximize on the prompting market opportunities by providing a comprehensive quantitative analysis of the industry for the period of 2020-2025. An exclusive analysis of the factors that drive and restrict market growth is provided in the global Open Source Software market report. An extensive analysis of the key segments of the industry helps in understanding the trends across regional. The study focuses on the global Open Source Software market status, future forecast, growth opportunity, key market, and key players.

Market segment by product type, split into Shareware, Bundled Software, BSD(Berkeley Source Distribution), Advanced Driver Assistance Systems (ADAS), along with their consumption (sales), market share and growth rate

Market segment by application, split into BMForum, phpBB, PHPWind, along with their consumption (sales), market share and growth rate

The report contains the specifications of all the products developed, manufacturers, and product applications. The report provides information about the organizations regarding the position they hold in the global Open Source Software industry and the sales that are accrued by the manufacturers. The report assesses the application landscape of the market that consists of applications. Various sub-segments of the product spectrum in the market are included.

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Trend Micro and Snyk Significantly Expand Partnership with Technology Collaboration to Solve Open Source Development Risks – PRNewswire

DALLAS, Aug. 25, 2020 /PRNewswire/ --Trend Micro Incorporated(TYO: 4704;TSE: 4704), the leader in cloud security, today announced plans for a new, co-developed solution with Snyk, the leader in developer-first open source security. The joint solution will help security teams manage the risk of open source vulnerabilities from the moment open source code is introduced without interrupting the software delivery process. This marks the expansion of a strategic partnershipthat has already helped countless organizations enhance DevOps security without impacting product roadmaps.

"We know that vulnerabilities in open source software, which is increasingly used by all development teams, have increased 2.5x in the past three years," said Geva Solomonovich, Global Alliances CTO."This partnership is groundbreaking because for the first time it is giving the security operations team visibility into Open Source, which is one of the fundamental building blocks of cloud native applications, and its risk. Through this collaboration we will be helping bridge the technology, process and organizational gap between security operations and DevOps teams."1

According to Gartner, "Open-source libraries can carry significant vulnerabilities and the fact that developers may not even know a component is embedded within a library exposes them to unseen vulnerabilities."2

"DevOps sits at the beating heart of innovation-first enterprises and no one knows these teams like Snyk, especially when it comes to preventing open source vulnerability threats," said Kevin Simzer, chief operating officer for Trend Micro. "What we are putting into play is effectively a virtual open source cybersecurity expert to those teams running our Cloud One platform. Together we can solve security issues before they occur, with complete coverage from code creation to runtime and across any type of developer environment."

The latest capabilities, delivered by combining the strengths of both companies, enables teams to find vulnerabilities in open source code automatically and immediately. It offers significant benefits for security and development teams, including helping to support compliance with ISO 27001, SOC 2 and other key frameworks and standards.

The joint solution will help create fundamental mind shifts in collaboration, driving closer alignment between security and developer teams. It will be available as part of the Trend Micro Cloud One platform. For additional details visit: http://www.trendmicro.com/cloudone. For an overview of the partnership visit: http://www.trendmicro.com/snyk.

About SnykSnyk is a developer-first security company that helps organizations use open source and stay secure. Snyk is the only solution that seamlessly and proactively finds and fixes vulnerabilities and license violations in open source dependencies and container images. Snyk's solution is built on a comprehensive, proprietary vulnerability database, maintained by an expert security research team in Israel and London. With tight integration into existing developer workflows, source control (including GitHub, Bitbucket, GitLab), and CI/CD pipelines, Snyk enables efficient security workflows and reduces mean-time-to-fix. For more information or to get started with Snyk for free today, visithttps://snyk.io.

AboutTrend MicroTrend Micro, a global leader in cybersecurity, helps make the world safe for exchanging digital information. Leveraging over 30 years of security expertise, global threat research, and continuous innovation, Trend Micro enables resilience for businesses, governments, and consumers with connected solutions across cloud workloads, endpoints, email, IIoT, and networks. Our XGen security strategy powers our solutions with a cross-generational blend of threat-defense techniques that are optimized for key environments and leverage shared threat intelligence for better, faster protection. With over 6,700 employees in 65 countries, and the world's most advanced global threat research and intelligence, Trend Micro enables organizations to secure their connected world. For more information, visit http://www.trendmicro.com.

1 Snyk, Inc.; 2020 State of Open Source Security:https://info.snyk.io/sooss-report-20202 Gartner, Inc.; Hype Cycle for Application Security, 2020, July 2020 | G00448216

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Trend Micro and Snyk Significantly Expand Partnership with Technology Collaboration to Solve Open Source Development Risks - PRNewswire

15 best open-source Android apps with source code for …

Most of us used to aware of open-source software available for pc mainly Linux, but we forget about another major platform smartphones. And in this article, we are discussing some of the best open-source Android apps with source code for developers to enrich their Android development skills.

The open-source community is always an opportunity for upcoming developers to learn software development. Because a source code for open-source software is always available for public and developers can utilize it to understand the working and coding from its scratch. In short, open-source projects are learning curves for newbie developers.

When it comes to the smartphone market, Android has the major shares and millions of apps are out there for Android devices. And most of these apps are either coded in Java or Kotlin. And to learn Android development, one must know the basic understanding of one of these programming languages. Even though if you successfully learned the basic coding principles, sometimes newbie coders struggle to develop their first couple of Android apps.

This is because of the lack of reference I mean they didnt get enough example apps to look into its codes to get some ideas to proceed during initial days. There comes the importance of open-source Android apps.

Open-source Android apps help emerging Android developers to learn the coding structure of fully working Android apps. They can even alter these codes and modify the same Android open-source apps. If you are an experienced Android developer, you can contribute new features and functionalities to these open-source Android apps and help the project to grow on.

Enough gibber gabber, here are some of the best open-source Android apps with source code link to boost your Android development skills.

Telegram is one of the mostly used encrypted instant messaging service available for Android and iOS. Learn from the Telegram code how an instant messaging app with super security works.

Google Play: Telegram

Source code: GitHub

Lawnchair Launcher is a simple open-source Android launcher app bringing Pixel features. If you are developing a new Android launcher, then refer the codes of Lawnchair, because it may help you to integrate different Android customization options to your app.

Google Play: Lawnchair Launcher

Source code: GitHub

Minimal ToDo is a lightweight Android app for the to-do list. This app will help beginners to develop a simple yet powerful to-do list app.

Google Play: Minimal ToDo

Source code: GitHub

Amaze File Manager is a lite file manager app for Android with material design guidelines. There are a lot of things you can learn from this app, like how to manage files on SD cards, cloud services support, AES Encryption and Decryption of files for security, etc.

Google Play: Amaze File Manager

Source code: GitHub

Open Camera is a fully featured and open-source camera app for Android devices. The project will help you know about how to add the auto-stabilization option on a camera app, how to take photo remotely by making a noise, multi-touch gesture and single-touch control on the camera app, etc.

Google Play: Open Camera

Source code: SourceForge

Fully-featured lightweight open-source Android note-taking application. With OmniNotes app source code will help to develop your own note talking application with features like basic add, modify, archive, trash and delete notes actions, insertion of an image, audio and generic file attachments in notes, including a To-do list feature on your note app, etc.

Google Play: OmniNotes

Source code: GitHub

Similar to Clean Master app, Super Clean Master is used to clean up some junk data from your Android device. Super Clean Master project will help you to understand the collection and detection of junk files and how to handle it in an elegant way. the project is a little bit complicated, it will take some time for beginners to fully grasp the source code.

Google Play: Not Available

Source code: GitHub

AntennaPod is a podcast manager and player that gives you instant access to millions of free and paid podcasts. This open-source Android app will teach you different integration techniques, managing playback settings, etc.

Google Play: AntennaPod

Source code: GitHub

TimberX Music Player is one of the new open-source Android apps written in Kotlin. TimberX comes with a simple UI with great features. The app source code will help you learn databinding and dependency injection with KOIN. The app has cross-platform support it works on phones, Android Wear, Android Auto, Chromecast and other cast devices and Google Assistant.

Google Play: TimberX Music Player

Source code: GitHub

LeafPic is a fluid, material-designed alternative gallery app for Android. It comes with all stock gallery features and the source code is really a helpful guide for a beginner Android developer.

Google Play: Not Available

Source code: GitHub

K-9 Mail is an open-source email client for Android with support for multiple accounts, search, IMAP push email, multi-folder sync, flagging, filing, signatures, BCC-self, PGP/MIME & more. This project helps you to understand the working of an email client and how to implement IMAP, POP3, and Exchange 2003/2007.

Google Play: K-9 Mail

Source code: GitHub

Easy Sound Recorder is a simple open-source sound recorder app with material design. The project will help you to learn Android voice recording integration and manipulation in apps.

Google Play: Easy Sound Recorder

Source code: GitHub

FreeOTP is an open-source 2FA authenticator developed by Red Hat. The app source code teaches you the working of an authenticator app, how to generate one-time passwords on your mobile devices which can be used in conjunction with your normal password to make your login nearly impossible to hack.

Google Play: FreeOTP Authenticator

Source code: FedoraProject

Keepass2Android is an open-source password manager app for Android. The projects make you understand the security features of a password manager and how to safeguard and autosave passwords using built-in cloud storage options.

Google Play: Keepass2Android Password Safe

Source code: GitHub

A modern, easy and customizable open-source app manager for Android with root features. The project helps you to learn how to extract installed & system apps and save locally as APK, uninstallation process of apps, etc

Google Play: ML Manager

Source code: GitHub

F-Droid is a third-party Android app store which EXCLUSIVELY distributes open-source Android apps. F-Droid has a wide collection of open source apps for Android and with their official app, it is easy to browse, install, and keep track of updates on your device. Also simply browse each app page to get their source code.

Google Play: Not Available

Official Website: F-Droid

So boost your Android development skills with these awesome open-source Android apps from different categories. Remember, in coding, you have to practice a lot, so read these codes to get some new ideas for your next Android project.

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15 best open-source Android apps with source code for ...

Chinese Government Touts Homegrown Alternative to GitHub – Sixth Tone

China is endorsing a homegrown alternative to the American software development platform GitHub, tech outlet IT Home reported Sunday.

Open-source software allows programmers to study, use, and modify freely shared code, paving the way for technological advances. The Linux operating system and Mozilla Firefox web browser are two examples of open-source projects. GitHub, the worlds most popular programmer community and open-source software-hosting platform, reported having over 40 million users as of September 2019.

The Chinese government appears to have selected Gitee.com, a 7-year-old site, to be molded into a domestic version of GitHub. Gitees parent company, Shenzhen-based OSCHINA, won a project contract for an undisclosed value from the Ministry of Industry and Information Technology in July to make Gitee an appealing platform for domestic open-source software development.

An ex-programmer with the handle Daimajia, who is one of the top three most-followed GitHub users in China, told Sixth Tone that its unlikely Gitee will compete on the same level as GitHub because of the technological gap between the two countries, as well as Gitees ties to the government.

The most valuable and advanced open-source software is developed by programmers in industry-leading countries, he said. China isnt there yet, so the community Gitee builds wont have the same impact as GitHub.

According to its website, Gitee has 5 million registered members and 10 million projects. Github, however, reported a gain of 10 million new users in 2019 alone, when it was hosting some 44 million projects.

What we want to focus on isnt competing with GitHub, but rather improving the open-source software ecosystem in China, Li Zechen, a Gitee spokesperson, told Sixth Tone. Competitors or not, though, Gitees own website lists its features side by side with those of GitHub. Gitee claims to be faster and more stable than GitHub because its servers are located in China.

Despite occasionally hosting content deemed sensitive, GitHub remains accessible in China for now. Last year, programmers across China launched a protest on GitHub against the exploitative workplace culture known as 996 working from 9 a.m. to 9 p.m., six days a week. Though prohibited under Chinas labor law, the grueling work schedule was nonetheless common at domestic startups and tech companies.

Its hard for programmers to accept a platform that exists under close scrutiny, Daimajia said.

Some netizens have also speculated that the sudden attention to Gitee may stem from souring diplomatic relations between the U.S. and China. Last year, Microsoft-owned GitHub restricted the accounts of users based in several countries that had been sanctioned by the U.S. including Cuba, Iran, and North Korea. With China now facing similar reprisals, it could wind up in the same group.

GitHub is a very important public asset to the whole world, Daimajia said. For example, many internet companies benefit from open-source code to build prototypes of their products and then improve them from there. Having open-source software saves tremendous costs and dramatically boosts efficiency.

China is GitHubs second-largest market after the U.S., though the platform doesnt disclose data for users by country.

In July of last year, a GitHub executive revealed that the platform was planning to expand in China. The Financial Times reported later that year that GitHub was hoping to open offices and even host servers in the country.

However, there have been no updates to the planned expansion in the year since it was announced, and GitHub did not respond to Sixth Tones interview request by time of publication.

Editor: David Paulk.

(Header image: Digital Vision Vectors/People Visual)

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Chinese Government Touts Homegrown Alternative to GitHub - Sixth Tone

Top 10 Trending Python Projects On GitHub: 2020 – Analytics India Magazine

As per the latest Data Science skills study, the data scientists and practitioners who were surveyed revealed that the top Language preferred for Statistical Modelling is Python, favoured by 65.2% proportion of the respondents.

Python is the language of choice for statistical modelling among the Data Science community, and AI and analytics practitioners seeking to upskill, such as Python for Statistical Modelling; TensorFlow for Python Frameworks; Git for Sharing code, among others.

Below here, we listed down the top 10 trending open-source projects In Python on GitHub.

(The projects are listed according to their stars on GitHub).

Stars: 24.6k

About: Manim is an animation engine for explanatory math videos. It is basically used to create precise animations programmatically and runs on Python 3.7. Manim uses Python to generate animations programmatically, which makes it possible to specify exactly how each one should run.

Know more here.

Stars: 19.2k

About: DeepFaceLab is an open-source deep fake system created by iperov for face swapping. It provides an imperative and easy-to-use pipeline for people to use with no comprehensive understanding of deep learning framework or with model implementation required. This system provides a flexible and loose coupling structure for people who need to strengthen their own pipeline with other features without writing complicated boilerplate code.

Know more here.

Stars: 17.9k

About: Airflow is a platform to programmatically author, schedule and monitor workflows. The pipelines in Airflow allows for writing code that instantiates pipelines dynamically. To use this platform, you will need Python versions 2.7, 3.5 and more. It allows users to use Python features to create workflows, monitor, schedule and manage the workflows using the web app. Anyone with Python knowledge can deploy a workflow. It also has plug-and-play operators that are ready to handle your task on Google Cloud Platform, Amazon Web Services, Microsoft Azure and many other services.

Know more here.

Stars: 13k

About: GPT-2 is a large transformer-based language model with 1.5 billion parameters, which is trained with a simple objective to predict the next word, given all of the previous words within some text. GPT-2 generates synthetic text samples in response to the model being primed with arbitrary input. It is a large-scale unsupervised language model which generates coherent paragraphs of text, performs rudimentary reading comprehension and machine translation. It can also perform question answering and summarisation. It can generate conditional synthetic text samples of unprecedented quality.

Know more here.

Stars: 9.8k

About: Horovod is an open-source distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. Developed by Uber, the goal of Horovod is to make distributed deep learning fast and easy to use. The primary motivation for this project is to make it easy to take a single-GPU training script and successfully scale it to train across many GPUs in parallel. It is fast and easy to use, achieves 90% scaling efficiency for both Inception V3 and ResNet-101, and 68% scaling efficiency for VGG-16.

Know more here.

Stars: 9.3k

About: The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents. The agents can be trained using reinforcement learning, imitation learning, neuroevolution or other machine learning methods through a simple-to-use Python API. Some of its features include support for multiple environment configurations and training scenarios, flexible Unity SDK, built-in support for imitation learning, among others.

Know more here.

Stars: 8.3k

About: XSStrike is a Cross-Site Scripting detection suite equipped with four handwritten parsers. It is an intelligent payload generator, a powerful fuzzing engine as well as an incredibly fast crawler. The key features of XSStrike include multi-threaded crawling, configurable core, WAF detection, complete HTTP support and more.

Know more here.

Stars: 5.1k

About: NeuralTalk is a Python and Numpy source code for learning Multimodal Recurrent Neural Networks that describe images with sentences. NeuralTalk2 is written in Torch and runs on the GPU. It also supports CNN finetuning, which helps a lot with performance.

Know more here.

Stars: 3.8k

About: Xonsh is a Python-powered, cross-platform, Unix-gazing shell language and command prompt. It is a superset of Python 3.5+ with additional shell primitives from Bash and IPython. The language is meant for the daily use of experts & novices. It works on all major systems, including Linux, Mac OSX, and Windows.

Know more here.

Stars: 3k

About: Optuna is an automatic hyperparameter optimisation software framework, particularly designed for machine learning. It features an imperative, define-by-run style user API. It allows for an automated search for optimal hyperparameters using Python conditionals, loops, and syntax. It can also parallelise hyperparameter searches over multiple threads or processes, without modifying code.

Know more here.

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A Technical Journalist who loves writing about Machine Learning and Artificial Intelligence. A lover of music, writing and learning something out of the box. Contact: ambika.choudhury@analyticsindiamag.com

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Top 10 Trending Python Projects On GitHub: 2020 - Analytics India Magazine

Blockchain Training: How and Where to Start – Dice Insights

Blockchain made a splash in 2008 as a cryptographic ledger for the digital currency Bitcoin. Whilemany still conflate cryptocurrency and blockchain technology, the foundation of blockchain has been utilized in many applications having nothing to do with Bitcoin or any other form of cryptocurrency.

As companies consider how blockchain fits into their overall tech stack, the common belief is that blockchain will become the next frontier for managing data. This alone drives interest in blockchain, and encourages many seasoned technologists to begin a quest towards adding blockchain to their repertoire.

But how should you go about learning blockchain? Can you teach yourself, or should you pay for a course? We queried experts to find out the best ways to learn blockchain.

Like so many knowledge quests, there are plenty of avenues to your final destination.David Araklien, CTO at Bitstocks, suggests that GitHub may be your best bet: If you are already a developer, then you can directly check the source code, thats another way of looking at the mechanics of blockchainhow they work and how they behave.

Bitcoinsv.comis a great starting point with general overviews of the Bitcoin SV technology and ecosystem as well as pointers to common tools use by developers in the space,Steve Shadders, CTO of nChain, told Dice.

Meanwhile,James Howard, research scientist at Johns Hopkins Applied Science Laboratory, advocates for more traditional forums like Udacity and Coursera:

The best way to learn about blockchain is to pick up a solid grounding in public key cryptography and cryptographic hashes. These two technologies underlie all blockchain platforms, though each uses different algorithms. That can be learned online with courses fromStanford through CourseraandUdacity. Both will give a kind of grounding. While it is not important to learn the specifics of any algorithm, but concepts like the web-of-trust, how cryptographic hashes protect data, and key hygiene are the ones necessary for blockchain. It can be hard to learn, depending on your level of experience. If you have taken some computer science courses, then it will be a lot easier.

Araklien underscores something key: knowing how blockchain works doesnt mean you understand how to apply itor even where. If you have development experience, you can pick up the basics very quickly, but the problem with blockchain is that it brings together multiple subjects into one, he said. Once you start scratching the surface, you see different things behind the simple mechanics like economics, politics, finance, data security, etc. It becomes an endless stream of other related subjects and knowledge that you can learn. The mechanics of the system is merely the top layer.

But I also think you could pick it up if you have other skill sets such as math, computer science, economics, or finance, he added. There are a variety of foundational skills that could be built upon. Its helpful to have some development skills as most of the online tutorials are written by developers, because the original Bitcoin/blockchain project itself started as a development project.

Dr. Stylianos Kampakis, CEO of The Tesseract Academy, points out that blockchain education requires a bit more forethought than simply how you want to apply it.Learning blockchain is like learning any other skill in technology. Right now there are multiple competing blockchains and frameworks, some of which support established languages (e.g.,Java) and some others have their own language (e.g., Solidity).

The best thing to do is decide which blockchain technology you are going to learn first, he continued. Ethereum is a good bet as its very popular. I wouldnt start by paying for a course. I would look towards free courses. If someone is already proficient at writing code, learning to code blockchain is not difficult.

Tuan Phan, partner at Caplock Security and member of the ISACA Emerging Technologies and Blockchain Framework Advisory Groups, says putting yourself out there may be the most valuable form of continuing education:

Once you have the skills, participate in one of several open source blockchain development projects or start a publicly visible blockchain project of your own where potential employers can observe and review your work through a code management platform such as GitHub. Engage in coding forums on web sites such as Stack Overflow, Reddit, or run local Meetups to share and help other developers to get into the domain. Your engagement will not only sharpen your skill sets, but it brings visibility from potential employers seeking such skills, and doors will open for you for more rewarding opportunities. Professional associations, such as ISACA, also publish white papers, books, journal articles and blog content around the latest developments in blockchain that can be helpful as part of your continuing education.

Several metrics highlight the important and increased demand for blockchain jobs, Phan said. According toCoinMarketCap, the market capitalization of all known cryptocurrencies is about $271 Billion. As with financial services, the size of the market cap offers insights to the demands for various technical skills that typically support these industries.

There are some key sectors which are starting to use blockchain more and more, Araklien added. Especially supply chain management, finance, and fintech companies. Were seeing companies trying to leverage blockchain technology to build applications on top [of their existing stack], so I think more and more industry diversity will happen soon. For example, weve recently seen new social media channels start to leverage this technology. So for now mainly fintech and finance, but in the future we will see a range of other sectors to delve in as well.

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Blockchain Training: How and Where to Start - Dice Insights