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cloudbees series 1bsawersventurebeat Enterprise-focused software program delivery platform CloudBees offers raised $150 mil in a series Farreneheit round of financing at a valuation associated with $1 billion.

Founded this year, CloudBees initially constructed an enterprise item on top of the open up source automation machine project Jenkins . Today, the San Jose, California-based business works with big-name companies such as Bosch, Airbnb, Salesforce, HSBC, plus Allianz, serving a good end-to-end software shipping toolset spanning constant integration and constant delivery (CI/CD), function management, analytics, and much more. It’s all about automating software deployments, checking quality, and making sure any updates could be easily tested plus rolled back exactly where flaws are found.

Right equipment for the job
Every corporation these days is efficiently a software company, simply by many estimations a minimum of , meaning that each company needs the various tools to ensure their application is bug-free and practical.

“The digital transformation story that will started before the outbreak, and has only faster over the past 18 months, made software the foundation for that world’s enterprises, ” CloudBees CEO Stephen DeWitt told VentureBeat.

Using the pressures associated with frequently shipping brand new code, rather than moving out large up-dates less often , this particular increases the chances that will bad code will discover its way in to the wild. These issues are perhaps probably be more emphasized at larger companies — companies that may have dozens of different applications and millions of users globally. And this is where CloudBees has set out to help.

“Enterprises are by their very definition complex — most enterprise organizations have years of existing investments in tools, processes, applications, and infrastructure, ” DeWitt said. “They need to orchestrate vast amounts of lines of code across complex multi-cloud environments, and they have to do so in a compliant, secure way. We help clients do this on all levels. ”

Continuous compliance, continuous integration, and continuous delivery
While it could be wrong to say that smaller companies don’t have to worry about things such as compliance, larger businesses — such as banking institutions — that manage the private data of millions of clients have to ensure that they meet whatever the local privacy regulations are for their locale. This is often a hugely time-consuming endeavor, which is why CloudBees recently launched a dedicated compliance product that automates most of the compliance processes. Including a rules-builder, which sets compliance standards across an organization spanning source code and binary repositories, databases, on-premise, cloud infrastructure, and more — and never having to train developers in compliance standards.

“We help developers focus their brilliance on the code they create, versus the hassle of compliance, ” DeWitt explained. “Consider, like a bank that does business in 140 countries. The compliance considerations which can be required at this scale are staggering. So just how do you automate that? How do you drive that capability while concentrating on developer productivity? We’re obsessed with answering those questions day in and day out. ”

Above: CloudBees’ rule designer

Prior to now, CloudBees had raised around $105 million. With yet another $245 million in the bank — or a separate $95 million debt facility it announced today — the company is well-financed to build out its platform, recruit new talent, and grow its footprint internationally in markets such as for example Asia Pacific (APAC). The company’s series F round was led by “client vehicles” advised by Goldman Sachs Asset Management, with participation from Morgan Stanley, Bridgepoint Capital, HSBC, Golub Capital, and Delta-v Capital.

CloudBees’ latest cash injection can be chosen in the same year as other notable players in the space, including Harness and CircleCI, which have raised gargantuan sums of money at billion-dollar valuations. So it’s safe to express that the software delivery space is hot, and it’s likely only going to get hotter.

“The innovations of today — and tomorrow — are software-based, ” DeWitt said. “Software drives every component of our lives — it’s how we manage our finances, how we vote, how our kids are learning, how we order food, how we even see a doctor … the list is endless. So if that is true — and we know it is — then the demand for software delivery is baked into this new reality. ”

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Case of the alphabet U.S. drone operations expansion: Wing wants FAA’s blessing D.C. (Reuters)





The Google subsidiary Wing Aviation has applied for a waiver from some FAA drone regulations so that it can expand its operations beyond a single small city in Virginia, according to a notification published by the FAA on Friday. As of early 2019, Wing has supplied a multitude of services for locals of Christiansburg, Virginia, including both scheduled and emergency deliveries. With the goal of serving more people, “Wing is now aiming to expand and improve upon these operations,” the company claimed in its request for waivers from some FAA drone regulations. The organization promised to listen to petitioners before reaching a final call. The FAA was informed by Wing that the company had “made major investments targeted to strengthen both the safety and capacity” of drone operations in the United States. More than 17 months have passed with no reported incidents. Wing seeks FAA clearance to move remote pilot activities “to regional operations centers that can monitor and safely handle a greater number of airliners at once. When it grows, Wing aims to utilize a variant “that has been demonstrated to be dependable in commercial operations and is extremely comparable in its operating characteristics,” Wing said. Yet “to identify and accept this alternate aircraft version,” approval from the FAA is required.

In addition, during the interval, Wing requested that the FAA conduct operator line inspections once every 12 months rather than every three. According to the report, “current limitations will make it infeasible to grow a light-footprint, distributed operation across a neighborhood,” therefore the amendments “will assist assure that more American homes may experience the benefits of (drone) technology.” Small drones can now legally fly over people and at night without special permission under new FAA regulations that went into effect on Wednesday. The long-awaited guidelines require remote identification technology in most situations to enable drone identification from the ground, which is intended to alleviate security concerns.

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OpenAI Gpt2 Harvard Idaho




OpenAI Gpt2 Harvard Idaho

The Harvard School of Engineering and Applied Sciences is conducting research known as Harvard OpenAI Gpt2 Idaho to advance the state of the art in language processing. The goal of the Gpt2 Idaho language model development project is to produce a tool for sophisticated NLP tasks. The goal of the project is to use OpenAI, an open source software platform, and artificial intelligence (AI) approaches, particularly GPT-2, an unsupervised model built by OpenAI scientists. This study is being done to evaluate the OpenAI GPT-2 platform’s language processing abilities for cutting-edge machine learning and language generation algorithms.

Where do I find out more information on OpenAI Gpt2 Idaho?

The OpenAI GPT-2 Idaho project is a language-processing research initiative overseen by Harvard’s School of Engineering and Applied Sciences. GPT-2 is a state-of-the-art unsupervised language model that has been trained on a huge amount of text data. It accomplishes its goal by assessing the context of previously processed text in order to forecast the next token in a series of text. GPT-2 is a language model developed with the aim of generating natural-sounding, grammatically sound text. This model is unsupervised because it does not rely on labels or training data to generate text.

Introducing the OpenAI Gpt2 Idaho Project

The OpenAI Gpt2 Idaho project aims to investigate the language-related possibilities of the OpenAI platform. Researchers at the Harvard School of Engineering and Applied Sciences are exploring new applications for the GPT-2 platform by utilizing it to create massive amounts of language data. Quantitative data on GPT-2’s capabilities and performance in general language processing tasks are also being collected as part of this study.

Studying how well GPT-2 performs in practical cognitive contexts is the primary focus of this project. The researchers hope to use the platform to measure the effect of GPT-2’s capacity to generate natural-sounding language and the platform’s language processing capabilities on various activities, such as translation and natural-language question answering.

Analytical Structure for Research

Many different types of data are being used by the researchers at the Harvard School of Engineering and Applied Sciences. Several texts written in English are being used by the OpenAI Gpt2 Idaho project. Everything that can be found at a public library or online is considered public domain.

The scientists are using GPT-2 as a platform to analyze massive amounts of linguistic data and produce their own linguistic datasets. Applications like question-answering and machine translation rely on these sets to function properly. The project hopes to employ GPT-2’s framework to create programs that let people convey nuanced feelings and ideas in an approachable and individualistic way.

Implementing New Functions into Existing Programs

The study group is working on numerous language-related programs. Tools for this purpose can range from deep learning algorithms to NLP and NLP-based apps to language-generation software. The group also plans to use the platform’s data to build tools for things like content creation, semantic analysis, and NLP.

Application Scenarios

In order to determine what kinds of situations GPT-2 might be useful for, the OpenAI Gpt2 Idaho project is conducting research. Applications for natural language processing and content development, as well as those that facilitate freeform human expression, fall under this category.

Gathering Information

In addition, they are amassing a mountain of linguistic data from the OpenAI corpus, which includes books, papers, news, and more. These records are being used for the development of GPT-2 and the creation of new applications.

Resulting Benefits from the Project

There are many upsides to the OpenAI Gpt2 Idaho project. It not only helps programmers create cutting-edge apps, but it also sheds light on how far GPT-2 can go in terms of generating realistic-sounding language.

Project Restriction Statements

The project has several promising aspects, but it also has some restrictions. Keeping the accuracy of GPT-2’s natural language generation is a major problem for the project. Because of this, the project necessitates the services of seasoned language engineers to guarantee the quality and stability of the software.


The Harvard OpenAI GPT-2 Idaho project is an academic investigation into OpenAI GPT-2’s potential in high-level language processing roles. By utilizing the platform, it is able to produce massive amounts of linguistic data for research and development. The goal of the project is to learn more about the capabilities of the GPT-2 platform and develop software that will help people express themselves more freely in their conversations.

What is OpenAI Gpt2 Idaho? is a related FA Q&A.

The OpenAI GPT-2 Idaho project is a research initiative overseen by the Harvard School of Engineering and Applied Sciences that use the GPT-2 platform developed by OpenAI for NLP.

Specifically, I would like to know Q: What are the project’s main goals?

The OpenAI Gpt2 Idaho project’s main goals are (1) learning how successful GPT-2 is for cognitive applications, and (2) developing tools that help people express themselves more freely in their conversations.

To answer your question, Q: What is OpenAI Idaho MedicaidKnightwired?

The Harvard School of Engineering and Applied Sciences has established OpenAI Idaho MedicaidKnightwired as a research program to investigate the utility of OpenAI tools in the medical field.

About the Harvard-Idaho Medicaid-Knight-Wired Program, Please.

  1. Harvard Idaho MedicaidKnightwired is a project that aims to investigate the utility of OpenAI in medical settings. The project’s main objective is to use OpenAI’s GPT-2 platform to produce massive amounts of linguistic data for use in the creation of healthcare-related apps.

The definition of Harvard OpenAI Idaho is unknown.

Harvard The OpenAI Idaho project is an effort to advance the state of the art in language processing by researchers from the Harvard School of Engineering and Applied Sciences. With OpenAI’s GPT-2 platform for natural language processing, the project is able to create massive amounts of linguistic data for use in creating cutting-edge software.

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A slide from Ignite session video shows that Microsoft is working to move Edge to a common codebase for the desktop, Android, and iOS versions later this year




A slide from Ignite session video shows that Microsoft is working to move Edge to a common codebase for the desktop, Android, and iOS versions later this year

Microsoft has announced that it is planning to unify the codebase of its Edge web browser across desktop, Android, and iOS versions. The move is intended to streamline development and bring more consistency to the user experience across different devices.

The announcement was made during a session at Microsoft’s recent Ignite conference, where a slide was shown detailing the company’s plans for Edge. The slide showed that Microsoft is working on a new “unified codebase” for Edge that will be rolled out later this year. This new codebase will be shared across the desktop, Android, and iOS versions of Edge, which will enable Microsoft to release updates more quickly and efficiently.

Currently, the desktop version of Edge is built on the Chromium open-source project, while the Android and iOS versions are built on their respective native platforms. Unifying the codebase will bring all three versions onto the same foundation, which should simplify development and allow for more consistent user experiences.

This move also aligns with Microsoft’s broader strategy of creating a more seamless user experience across its products and services. In recent years, Microsoft has been working to integrate its various offerings, such as Office and Teams, into a single cohesive platform.

By unifying the codebase of Edge, Microsoft is making a similar effort to bring consistency and continuity to the user experience across different devices. This should make it easier for users to switch between devices and continue their work seamlessly, without having to relearn different interfaces or workflows.

It is worth noting that Microsoft has already made significant strides in this direction with the recent release of Edge for macOS, which is built on the same Chromium codebase as the desktop version. This has allowed Microsoft to provide a more consistent user experience across both Windows and macOS, and the company is now looking to extend this approach to its mobile platforms.

Overall, Microsoft’s move to unify the codebase of Edge is a positive development for users, as it should lead to a more consistent and seamless browsing experience across different devices. With this move, Microsoft is once again demonstrating its commitment to creating a more integrated and streamlined user experience across all its products and services.


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