(Washington, DC) Today, Mayor Muriel Bowser and community members broke ground on the Stead Park Recreation Center in the Dupont Circle Historic District. The $15.4 million project will preserve the history of Stead Park while modernizing the grounds and expanding the facility to create more accessible, integrated spaces for exercise, play, and community engagement. The project will also deliver the first Net Zero Energy-Ready recreation space within the Department of Parks and Recreation (DPR) portfolio, project-managed by the Department of General Services (DGS). Families in DC love our parks and open spaces, and we love delivering spaces and facilities that meet the needs of our communities which is what we will do right here at Stead Park, said Mayor Bowser. These continued investments and improvements are why the District, for the past two years, has been recognized for having the best park system in the nation. The project consists of a 1.5-acre park and an existing historic carriage house named for Mary Force Stead as the primary building entry. Upon completion in 2023, the project will offer additional indoor recreational spaces, improved playgrounds and outdoor gathering spaces, and improved lighting. The recreation center will also have a solar canopy that includes a high-performing renewable energy system to offset all or most of its annual energy consumption, operating with a net zero energy consumption to save tax dollars.Starting in 2017 we have been engaged with the community on what the future of Stead Park will become, said DGS Director Keith A. Anderson. I am pleased that we are breaking ground on a project that has recreational elements for everyone and that will save on energy costs for the District.The Stead Park modernization will honor Mary Force Steads wish that the space be maintained for the perpetual use of the children of Washington, as noted from the carriage house plaque honoring her memory. The Friends of Stead Park donated $500,000 to support this project.We at DPR are incredibly excited about the modernization of the existing carriage house at Stead and the construction of an addition to the recreation center that will help foster community engagement and provide quality recreational programming in this vibrant neighborhood of Dupont Circle, said DPR Director Delano Hunter.Mayor Bowsers Fiscal Year 2023 Fair Shot Budget invests over $365 million over the next six years to improve parks and recreation facilities across the District. Additionally, the Mayor invested $13.5 million for Recreation for A.L.L. a new DPR initiative to expand recreation offerings and ensure all District residents, particularly young people, have access to high-quality recreational programming.To learn more, visit https://dgs.dc.gov/page/stead-park-recreation-center-project.

Social Media:Mayor Bowser Twitter:@MayorBowserMayor Bowser Instagram:@Mayor_BowserMayor Bowser Facebook:facebook.com/MayorMurielBowserMayor Bowser YouTube:https://www.bit.ly/eomvideos

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Mayor Bowser Breaks Ground on Modernization of Stead Park Recreation Center | mayormb - Executive Office of the Mayor

What's the most important programming language to learn in 2022? That's an open question, but one way to answer it is to look at languages that are currently trending.

Some of them are well-established coding languages that have long been popular. Others are newer languages that are just now entering their heyday. Either way, they're languages worth familiarizing yourself with.

Related: Is PHP Dying? No, but It Has an Image Problem

Here's a roundup of what are arguably the trendiest programming languages in 2022.

1. Python: When talking about hot programming languages in 2022, the list must start with Python. Probably no language is having a better year than Python, which recently slid into first place to become the very most popular language of all. You could argue that Python doesn't quite deserve that status, but the fact is that it enjoys it.

Related: COBOL Language Still in Demand as Application Modernization Efforts Take Hold

2. Go: Go (or Golang, as it's formally known) has long been a "cool" programming language partly because it traces its roots to Google (which is a hotbed of coolness, technologically speaking) and partly because it's fast to write, fast to compile, and fast to run.

3. OPA: Open Policy Agent, or OPA, isn't technically a programming language. It's a policy language that lets you define resources using code. That makes it a hot language, however, in a world increasingly obsessed with doing "everything as code."

4. Swift: If you develop anything for the world of Apple whether on macOS, iOS, or any other *OS platform Swift is a language you absolutely need to know today. It's also a relatively easy language to code in, by many accounts.

5. C: C, which turns 50 this year, may be old, but it remains relevant as ever and is still a hot programming language in 2022. It's messy, it's fast, and it's essential for a wide variety of programming tasks.

6. Java: It's arguably hard to get excited about Java a language that is tedious to code in and whose code is relatively slow. But the fact is that Java was the most popular programming language for years, and tons of stuff are still written in it. Whether you actually enjoy coding in Java or not, it remains an important language as of 2022.

7. JavaScript: JavaScript is not the same as Java, but they're similar in that tons of stuff are written in JavaScript, too. If you are creating web apps in particular, JavaScript is probably the most important language for you to learn today.

About the author

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Top 7 'Hot' Programming Languages of 2022 - ITPro Today

Theres not one, but two side-channel attacks to talk about this week. Up first is Pacman, a bypass for ARMs Pointer Authentication Code. PAC is a protection built into certain ARM Processors, where a cryptographic hash value must be set correctly when pointers are updated. If the hash is not set correctly, the program simply crashes. The idea is that most exploits use pointer manipulation to achieve code execution, and correctly setting the PAC requires an explicit instruction call. The PAC is actually indicated in the unused bits of the pointer itself. The AArch64 architecture uses 64-bit values for addressing, but the address space is much less than 64-bit, usually 53 bits or less. This leaves 11 bits for the PAC value. Keep in mind that the application doesnt hold the keys and doesnt calculate this value. 11 bits may not seem like enough to make this secure, but keep in mind that every failed attempt crashes the program, and every application restart regenerate the keys.

What Pacman introduces is an oracle, which is a method to gain insight on data the attacker shouldnt be able to see. In this case, the oracle works via speculation attacks, very similar to Meltdown and Spectre. The key is to attempt a protected pointer dereference speculatively, and to then observe the change in system state as a result. What you may notice is that this requires an attack to already be running code on the target system, in order to run the PAC oracle technique. Pacman is not a Remote Code Execution flaw, nor is it useful in gaining RCE.

One more important note is that an application has to have PAC support compiled in, in order to benefit from this protection. The platform that has made wide use of PAC is MacOS, as its a feature baked in to their M1 processor. The attack chain would likely start with a remote execution bug in an application missing PAC support. Once a foothold is established in uprivileged userspace, Pacman would be used as part of an exploit against the kernel. See the PDF paper for all the details.

The other side-channel technique is a new take on an old idea. Hertzbleed is based on the idea that its possible to detect the difference between a CPU running at base frequency, and that CPU running at a boost frequency. The difference between those two states can actually leak some information about what the CPU is doing. Theres a pre-release PDF of their paper to check out for the details. The biggest result is that the standard safeguard against timing attacks, constant-time programming, is not always a reliable security measure.

It works because max frequency is dependent on the processor Thermal Design Power (TDP), the maximum amount of power a CPU is designed to use and amount of heat to dissipate. Different instructions will actually use different amounts of power and generate more or less heat based on this. More heat means earlier throttling. And throttling can be detected in response times. The details of this are quite fascinating. Did you know that even running the same instructions, with different register values, results in slightly different power draw? They picked a single cryptographic algorithm, SIKE, a quantum-safe key exchange technique, and attempted to extract a servers secret key through timing attacks.

There is a quirk in SIKE, also discovered and disclosed in this research, that its possible to short-circuit part of the algorithm, such that a series of internal, intermediary steps result in a value of zero. If you know multiple consecutive bits of the static key, its possible to construct a challenge that hits this quirk. By extension, you can take a guess at the next unknown bit, and it will only fall into the quirk if you guessed correctly. SIKE uses constant-time programming, so this odd behavior shouldnt matter. And here the Hertzbleed observation factors in. The SIKE algorithm consumes less power when doing a run containing this cascading-zero behavior. Consuming less power means that the processor can stay at full boost clocks for longer, which means that the key exchange completes slightly more quickly. Enough so, that it can be detected even over a network connection. They tested against Cloudflares CIRCL library, and Microsofts PQCrypto-SIDH, and were able to recover secret keys from both implementations, in 36 and 89 hours respectively.

There is a mitigation against this particular flaw, where its possible to detect a challenge value that could trigger the cascading zeros, and block that value before any processing happens. It will be interesting to see if quirks in other algorithms can be discovered and weaponized using this same technique. Unfortunately, on the processor side, the only real mitigation is to disable boost clocks altogether, which has a significant negative effect on processor performance.

[Frdric Basse] has a Google Nest Hub, and he really wanted to run his own Linux distro on it. Theres a problem, though. The Nest uses secure boot, and theres no official way to unlock the bootloader. Since when would a dedicated hacker let that stop him? The first step was finding a UART interface, hidden away on some unterminated channels of a ribbon cable. A custom breakout board later, and he had a U-Boot log. Next was to run through the bootup button combinations, and see what U-Boot tried to do with each. One of those combinations allows booting from a recovery.img, which would be ideal, if not for secure boot.

The great thing about U-Boot is that its Open Source under the GPL, which means that the source code should be available for perusal. Find a bug in that source, and you have your secure boot bypass. Open Source also allows some fun approaches, like running portions of the U-Boot code in userspace, and exercising it with a fuzzer. Thats the approach that found a bug, where a block size greater than 512 bytes triggers a buffer overflow. Its a generally safe assumption, as there arent really any USB storage devices with a block size greater than 512.

Never fear, a device like the Raspberry Pi Pico can run TinyUSB, which allows emulating a USB device with whatever block size you specify. A test determined that this approach did result in a repeatable crash on the real device. The code execution is fairly straightforward, writing a bunch of instructions that are essentially noop codes pointing to a payload, and then overwriting the return pointer. Code execution in the can, all that remained was to overwrite the command list and execute a custom U-Boot script. A thing of beauty.

The lowly ping command. How much can a single pair of packets tell us about a network and remote host? According to [HD Moore], quite a bit. For example, take the time given for a ping response, and calculate a distance based on 186 miles per millisecond. Thats the absolute maximum distance away that host is, though a quarter and half of that amount are reasonable lower and upper limits for a distance estimate. TTL very likely started at 64, 128, or 255, and you can take a really good guess at the hops encountered along the way. Oh, and if that response started at 64, its likely a Linux machine, 128 for Windows, and 255 usually indicates a BSD-derived OS.

Receiving a destination host unreachable message is interesting in itself, and tells you about the router that should be able to reach the given IP. Then theres the broadcast IP, which sends the message to every IP in the subnet. Using something like Wireshark for packet capture is enlightening here. The command itself may only show one response, even though multiple devices may have responded. Each of those responses have a MAC address that has can be looked up to figure out the vendor. Another interesting trick is to spoof the source IP address of a ping packet, using a machine you control with a public IP address. Ping every device on the network, and many of them will send the response via their default gateway. You might find an Internet connection or VPN that isnt supposed to be there. Who knew you could learn so much from the humble ping.

Internet Explorer is Really, Truly, Dead. If you were under the impression, as I was, that Internet Explorer was retired years ago, then it may come as a surprise to know that it was finally done in only this past week. This months patch Tuesday was the last day IE was officially supported, and from now on its totally unsupported, and is slated to eventually be automatically uninstalled from Windows 10 machines. Also coming in this months patch drop was finally the fix for Follina, as well as a few other important fixes.

Theres a new record for HTTPS DDOS attacks, set last week: Cloudflare mitigated an attack consisting of 26 million requests per second. HTTPS attacks are a one-two punch consisting of both raw data saturation, as well as server resource exhaustion. The attack came from a botnet of VMs and servers, with the largest slice coming from Indonesia.

Running the free tier of Travis CI? Did you know that your logs are accessible to the whole world via a Travis API call? And on top of that, the whole history of runs since 2013 seems to be available. It might be time to go revoke some access keys. Travis makes an attempt to censor access tokens, but quite a few of them make it through the sieve anyways.

Ever wonder what the risk matrix looks like for TPM key sniffing on boot? Its not pretty. Researchers at Secura looked at six popular encryption and secure boot applications, and none of them used the parameter encryption features that would encrypt keys on the wire. The ironic conclusion? discrete TPM chips are less secure than those built in to the motherboards firmware.

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This Week In Security: Pacman, Hetzbleed, And The Death Of Internet Explorer - Hackaday

CINCINNATI and BERLIN, June 16, 2022 /PRNewswire/ -- Pre-seed round tech startup Anomaly Scienceannounced its patent-pending business proposal for "Particles" - a method for the management and fiscal sponsorship of open-source projects, Web3 initiatives, decentralized projects, and tokenization of intellectual property rights through the creation and utilization of smart contracts and blockchain technologies.

"Anomaly Science is headquartered in Cincinnati, Ohio," explained 19-year-old CEO Jacob Haap, "But I knew we needed to be ready to do business in multiple countries. That's why I moved to the European Union."

Haap's vision is to lower the entry-level to computer programming, and potentially other types of business, for people who have ideas but no corporate structure for support.

"(Jacob Haap) is going to make it so that everybody, anybody, can create any kind of breakthrough software with a variety of different programmers who are all going to work independently, and together, at the same time,"said American venture capitalist Tim Draper. "And it's going to be really awesome because all of those programmers (won't) have to deal with the SEC and all that other stuff because they are all under one corporate roof, but they can operate as entrepreneurs. They can have ownership in what they do. I think if you're a programmer, you should talk to Jacob."

Haap is a 2021 graduate of Draper's Hero Training program through Draper University, one of the top pre-accelerator programs in the world.

"I didn't know what to expect when I enrolled forDraper's Hero program," says Haap. This year's cohortfeatured over 80 entrepreneurs from an original applicant pool of over 2,000. The average age of the participants was 29. "As someone who just graduated from high school, I originally felt different from people who had been actively working in the business for years. But very quickly, I realized I was onto an idea with real potential."

During an event called Demo Day, over 80 entrepreneursgathered in San Mateo, California to give pitches to an audience of investors. A panel of judges ranked Haap's presentation third place, adding even more traction to his startup. Since then, Haap took his initial investment, continued to develop his business plan, and built proof-of-concept interfaces for linking crypto walletswith his hybrid source-code repository. "We are ready to take the next step with an investor who sees the amazing potential in the model we have built around Particles," explained Haap.

"Particles open a new door," continued Haap, "enabling greater collaboration and sharing of work, creating knowledge pools and hybrid-source codebases, and a means to do business in our growingly decentralized world that can function across international borders nearly seamlessly."

Anomaly Science is currently trying to start seed round funding with a goal of 500k. This is an opportunity for investors to become part of a transformational approach to doing business.

About Anomaly Science

Anomaly Science is a company building the bridge to Web3, making it easier for decentralized projects to take flight, lowering the level of entry to software development, and giving power back to software developers.

To learn more about Anomaly Science, you can reach us via email:[emailprotected]or visit our websiteanomsci.comto join the waitlist.

Media ContactJacob Haap[emailprotected]+49 175 2954140

SOURCE Anomaly Science

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Particles: The Beginning of a New Age in Decentralization - PR Newswire

Division of the Arts Opens Two Opportunities for Artists - State of Delaware News

Read the latest news on coronavirus in Delaware. More Info

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Division of the Arts Opens Two Opportunities for Artists - State of Delaware News - news.delaware.gov

SAN FRANCISCO--(BUSINESS WIRE)--Iterative, the MLOps company dedicated to streamlining the workflow of data scientists and machine learning (ML) engineers, today announced a free extension to Visual Studio Code (VS Code), a source-code editor made by Microsoft, for experiment tracking and machine learning model development.

VS Code is a coding editor that helps users to start coding quickly in any programming language. The DVC Extension for Visual Studio Code allows users of all technical backgrounds to create, compare, visualize, and reproduce machine learning experiments. Through Git and Iteratives DVC, the extension makes experiments easily reproducible, unlike traditional experiment tracking tools that just stream metrics.

This is an open source VS Code extension for machine learning practitioners looking to accelerate their model development experience, said Ivan Shcheklein, co-founder and CTO of Iterative. It simplifies data scientists' machine learning model development workflows and meets ML modelers where they work. This extension eliminates the need for costly SaaS solutions for experiment tracking, turning VS Code into a native ML experimentation tool, built for developers.

The extension complements the existing VS Code UX with features using the Command Palette, Source Control view, File Tree explorer, and even custom in-editor webviews, to aid data scientists in their model development and experimentation workflows. Users can pull and push versioned data, run and reproduce experiments, and view tables and metrics.

"Beyond the tracking of ML models, metrics, and hyperparameters, this extension also makes ML experiments reproducible by tracking source code and data changes," said Dmitry Petrov, CEO of Iterative. Iteratives experiment versioning technology that was implemented in DVC last year makes this reproducibility possible."

The VS Code extension offers data scientists the ability to view, run, and instantly reproduce experiments with parameters, metrics, and plots all in a single place, as well as manage and version data sets and models. The extension also provides resource tracking so that data scientists can see which data sets and models have changed and allows exploration of all files of a project or model. Other features include live tracking to see how metrics change in real-time, cloud-agnostic data versioning and management, and native plot visualization.

The VS Code extension helps organizations:

DVC, the underlying open-source technology behind the extension, brings agility, reproducibility, and collaboration into the existing data science workflow. It provides users with a Git-like interface for versioning data and models, bringing version control to machine learning and solving the challenges of reproducibility. DVC is built on top of Git and creates lightweight metafiles, which enable the data science and ML teams to efficiently handle large files that otherwise cant be stored.

To learn more about the VS Code extension, check out the blog and get started today.

About Iterative

Iterative.ai, the company behind Iterative Studio and popular open-source tools DVC, CML, and MLEM, enables data science teams to build models faster and collaborate better with data-centric machine learning tools. Iteratives developer-first approach to MLOps delivers model reproducibility, governance, and automation across the ML lifecycle, all integrated tightly with software development workflows. Iterative is a remote-first company, backed by True Ventures, Afore Capital, and 468 Capital. For more information, visit Iterative.ai.

Link:
Iterative Introduces First Machine Learning Experiment Tracking Extension for Microsoft Visual Studio Code - Business Wire

By Guneet Kaur

The new version of the Internet called decentralized web or Web3 or a blockchain-based Internet is trending these days. Recent graduates, as well as professionals from various industries, seem really curious to find out how to land a career in Web3 and its sub-sectors, including Metaverse, Digital assets, and Non fungible tokens (NFTs).

Although there is no hard and fast rule in joining or switching to a new career, what matters is your knowledge and skills. So, anyone looking for a job in Web3 needs to acquire the necessary education or real-world expertise. That said, this article will help you grasp essential insights on how to land a career in Web3.

Learn the basics

Understanding how blockchain technology and cryptocurrency function will put you ahead of the competition. You dont have to be an expert, simply learn the fundamentals. You can learn the basics by doing free courses on Coursera (accessible through financial aid).

Additionally, look for freely available MOOCs (Massive Open Online Courses) such as the one offered by the University of Nicosia titled Introduction to Digital Currencies. The next start date is September 2022, so hurry up! Cointelegraphs Cryptopedia articles may also help you transform from a beginner to an expert in various fields like DeFi, Metaverse, NFTs, etc.

While such courses and MOOCs are more suitable for beginners or non-developers, software engineers and blockchain developers need to learn programming languages like Solidity, Python, Rust, JavaScript, Vyper, etc. GitHub is a great place to store your projects and let others assess and authenticate them.

Get involved and improve your visibility

There are an increasing variety of ways to get involved and help companies discover you. These include meetups, conferences, mentoring programs, and events that exist globally. If you do some research, you should be able to join your first conference this month, such as ETH NYC.

Also, you can apply for a scholarship to join an 18-Week mentoring program called NFT Talents by the Frankfurt School Blockchain Center. The first cohort has already started on 7th June 2022. Stay tuned for the next one!

In addition to the above, you can also start writing blog posts on Medium so that people know that you are contributing to the Web3 space. Consistent engagement on CryptoTwitter is also an ideal way to help others discover your potential. As a developer, you can also add open-source libraries on GitHub (the ones developed by you), and contribute to other projects.

Join communities

Joining Discord, Reddit or Telegram channels of projects in the Web3 space can help you be aware of the opportunities (both paid and non-paid). And if you can add value to the project, such as finding a bug (if you are a developer) or voluntarily promoting a decentralized automated organization or DAO (if you are a marketer), dont be surprised if you get a full-time job offer (of course, a paid one).

Look for employment openings on job sites and platforms

Relying upon someone to send you a job opportunity may not help you get your dream job. In order to be successful in your job hunt, look for open job positions at Web3-centric job boards like web3.career or cryptocurrencyjobs.io. Also, actively apply for jobs on LinkedIn and Indeed. Finally, freelancers can search for opportunities on Upwork, Fiverr, etc.

Start by applying for internships if you are a recent graduate or a beginner in this space. Something is better than nothing; remember! However, do not go for something you wont be working on for long! Consistency is the key to becoming an expert in your area of interest.

Key takeaways

Millions of people have been empowered by blockchain technology to pick how they make a living, providing them options that never existed before. Web3 defies all of the conventional wisdom about how people earn money and spend their time. That said, remote work and getting paid in cryptocurrencies is the new normal!

As Web3 attracts the brightest minds, it will undoubtedly have a juggernaut effect, resulting in the creation of a decentralized Internet unlike anything weve ever seen before. Opportunities are many; you just need to leave your comfort zone and prepare yourself to land a career in Web3.

The author is technology editor, Cointelegraph

Read the original here:
The prospect of jobs in Web3.0 - The Financial Express

What youll learn:

An integrated development environment (IDE) is a software application that provides a set of tools for software development and coding programming languages, all in a single graphical user interface (GUI). IDEs typically pack a source-code editor that assists in programming with features such as syntax highlighting (complete with visual cues), language-specific auto-completion (automate simple, repeatable tasks), and a debugger for testing code and routing-out bugs.

In essence, IDEs enable programmers to maximize productivity without the need for multiple utilities that have to be configured and implemented for each application. Because utilities are housed under a single GUI, developers can execute actions without switching between applications. This is especially helpful for embedded development applications within IoT ecosystems that dont require reconfiguration to suit multiple devices or projects.

Other standard IDE features are designed to help developers manage workflows and efficient problem-solving. IDEs parse code as its written so that bugs can be identified in real-time. Some IDEs may even include class and object browsers and hierarchy diagrams for specific languages.

While some software engineers and coders prefer to create their own IDEs, integrating only the tools needed for specific projects, others rely on preconfigured applications that can be applied to a wide variety of platforms.

This gallery highlights some of the widely used IDEs that provide a basic set of tools and additional features for streamlining the coding process. Many of these IDEs are open source and freely available; others have paid versions or paid enhancements.

Originally posted here:
The Top 11 IDEs for Embedded Applications - Electronic Design

On December 15, Microsoft's GitHub plans to turn out the lights on Atom, its open-source text editor that has inspired and influenced widely used commercial apps, such as Microsoft Visual Studio Code, Slack, and GitHub Desktop.

The social code biz said it's doing so to focus on cloud-based software.

"While that goal of growing the software creator community remains, weve decided to retire Atom in order to further our commitment to bringing fast and reliable software development to the cloud via Microsoft Visual Studio Code and GitHub Codespaces," GitHub explained on Wednesday.

GitHub Codespaces is a cloud-hosted development environment that integrates Visual Studio Code.

In June 2018, when Microsoft acquired Github, Nat Friedman, CEO at the time, reassured the GitHub community that Atom was alive and well.

"Atom is a fantastic editor with a healthy community, adoring fans, excellent design, and a promising foray into real-time collaboration," said Friedman in a Reddit ask-me-anything discussion. "At Microsoft, we already use every editor from Atom to VS Code to Sublime to Vim, and we want developers to use any editor they prefer with GitHub.

"So we will continue to develop and support both Atom and VS Code going forward."

After four years of going forward, Atom has come to a standstill. According to GitHub, the project hasn't had significant feature development for several years, apart from maintenance and security updates. During this period community involvement has declined and the business of locally installed software now looks less attractive than the potential recurring revenue, vendor lock-in, and information gathering enabled by cloud-based apps.

Atom dates back to 2011 at GitHub and by 2015 when the Atom shell a separate component for integrating with Chromium, Node.js, and native APIs was renamed Electron (a cross-platform app framework based on web tech), Microsoft began working with GitHub on Atom and Electron and what would become Visual Studio Code.

That relationship has now followed a paradigm Microsoft made famous: embrace, extend, extinguish, though the sunsetting of Atom looks more like pushing dead weight out of a cloud-bound balloon rather than a strategically advantageous hit.

"We want to invest in our core bets over the coming years, and that means focusing on enhancing the developer experience in the cloud," a GitHub spokesperson told The Register in an email. "There are also many strong alternatives to Atom that meet various needs, and VS Code has gained an enormous amount of market share such that were confident in this change.

"This should have little impact on GitHubs developer ecosystem. GitHubs APIs continue to be supported and enable developers to integrate with GitHub across thousands of other products. We also maintain our own suite of apps, including GitHub Desktop, GitHub Mobile, and GitHub CLI."

Atom's influence should continue to be felt via the Electron framework. Electron.js still serves as the basis for Discord, Skype, Slack, Trello, and Visual Studio Code, among other apps. But technology changes. Microsoft previously said it intends to move away from Electron in Teams. And other cross platform frameworks like Flutter, Tauri, or Microsoft's recently announced .NET Multi-platform App UI (.NET MAUI) may gain traction.

Still, Atom looks likely linger beyond its December 15, 2022 decommission date. Though GitHub intends to archive the Atom repository, the code is open source and remains available to anyone who wants to champion the project.

The rest is here:
GitHub drops Atom bomb: Open-source text editor mothballed by end of year - The Register

"UnionML significantly simplifies creating and deploying machine learning applications."

UnionML aims to unify the ever-evolving ecosystem of machine learning and data tools into a single interface for expressing microservices as Python functions. Data scientists can create UnionML applications by defining a few core methods that are automatically bundled into ML microservices, starting with model training and offline/online prediction.

"Creating machine learning applications should be easy, frictionless and simple, but today it really isn't.," said Union.ai CEO Ketan Umare. "The cost and complexity of choosing tools, deciding how to combine them into a coherent ML stack, and maintaining them in production requires a whole team of people who often leverage different programming languages and follow disparate practices. UnionML significantly simplifies creating and deploying machine learning applications."

UnionML apps comprise two objects: Dataset and Model. Together, they expose function decorator entry points that serve as building blocks for a machine learning application. By focusing on the core building blocks instead of the way they fit together, data scientists can reduce their cognitive load for iterating on models and deploying them to production. UnionML uses Flyte to execute training and prediction workflows locally or on production-grade Kubernetes clusters, relieving MLOps engineers of the overhead of provisioning compute resources for their stakeholders. Models and ML applications can be served via FastAPI or AWS Lambda. More options will be available in the future.

More information is available about UnionML: https://www.union.ai.

About Union.aiUnion.ai helps organizations deliver reliable, reproducible and cost-effective machine learning and data orchestration built around open-source Flyte. Flyte is a one of a kind workflow automation platform that simplifies the journey of data scientists and machine learning engineers from ideation to production. Some of the top companies, including Lyft, Spotify, GoJek and more, rely on Flyte to power their Data & ML products. Based in Bellevue, Wash., Union.ai was started by founding engineers of Flyte and is the leading contributor to Flyte.

SOURCE Union.ai

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Union.ai releases UnionML for seamless creation of web-native machine learning applications - PR Newswire