Article: Accelerating Innovation — Uniting Research & Open Source

Innovation, Open Space

Accelerating Innovation — Uniting Research & Open Source

Open-source software (OSS) underpins all major cloud platforms and a large number of cloud-based services today. Core technologies that power cloud computing –Linux, Kubernetes, Cloud Foundry, Docker, to name a few –are developed in open communities. The Cloud Native Computing Foundation supports innovation in OSS for cloud computing and has sponsorship and participation from practically all major players in the cloud ecosystem.

A recent survey [1] of 3,440 professional developers and managers showed the widespread influence of open source, both in cloud technology and as an essential in-demand and growing skill in the industry. For example, 69% of respondents thought that contributions to open-source projects result in better professional opportunities.

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Article: What is open source?

Open Source

What is open source?

It’s difficult to overstate the role that open source plays in today’s technology-centric world, given that it intersects with just about every piece of software. Data from Synopsys, the company behind open source security management platform Black Duck, indicates that 98% of codebases contain at least some open source code.

But open source software is not only eating the world, as the popular expression goes, it’s also devouring the solar system — recent GitHub data showed that almost 12,000 GitHub developers contributed to the code that made the very first Martian helicopter flight possible on April 19, 2021. Chances are, though, most weren’t even aware that their contributions were used in the historic NASA mission.

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Article: The Five Ways To Build Machine Learning Models

Free, Language, Libre, Open Data, Open Software

The Five Ways To Build Machine Learning Models

Machine learning is powering most of the recent advancements in AI, including computer vision, natural language processing, predictive analytics, autonomous systems, and a wide range of applications. Machine learning systems are core to enabling each of these seven patterns of AI.

In order to move up the data value chain from the information level  to the knowledge level, we need to apply machine learning that will enable systems to identify patterns in data and learn from those patterns to apply to new, never before seen data. Machine learning is not all of AI, but it is a big part of it.

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Article: Why AWS Could Own the Future of Quantum Computing

Hardware, Open Manufacturing

Why AWS Could Own the Future of Quantum Computing

We often talk about future leadership in quantum computing by way of hardware innovation but if (or when) the technology suddenly takes off, the real differentiator will be accessibility and service. That might take an approach that is multi-platform with a defined pricing, support, and security model and while quantum startups can handle physics, building global front-end services is a different ballgame.

Amazon Web Services already knows how this story goes from its experiences building a multi-platform mega-platform for machine learning and expects the same lessons could carry forward for early quantum computing.

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Article: Mozilla winds down DeepSpeech development, announces grant program

Innovation, Language, Open Data, Open Space

Mozilla winds down DeepSpeech development, announces grant program

In 2017, Mozilla launched DeepSpeech, an initiative incubated within the machine learning team at Mozilla Research focused on open sourcing an automatic speech recognition model. Over the next four years, the DeepSpeech team released newer versions of the model capable of transcribing lectures, phone conversations, television programs, radio shows, and other live streams with “human accuracy.”

But in the coming months, Mozilla plans to cease development and maintenance of DeepSpeech as the company transitions into an advisory role, which will include the launch of a grant program to fund a number of initiatives demonstrating applications for DeepSpeech.

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Article: Weaviate is an open-source search engine powered by ML, vectors, graphs, and GraphQL

Free, Open Software, Open Source

Weaviate is an open-source search engine powered by ML, vectors, graphs, and GraphQL

Bob van Luijt’s career in technology started at age 15, building websites to help people sell toothbrushes online. Not many 15 year-olds do that. Apparently, this gave van Luijt enough of a head start to arrive at the confluence of technology trends today.

Van Luijt went on to study arts but ended up working full time in technology anyway. In 2015, when Google introduced its RankBrain algorithm, the quality of search results jumped up. It was a watershed moment, as it introduced machine learning in search. A few people noticed, including van Luijt, who saw a business opportunity and decided to bring this to the masses.

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Article: GPT-Neo: The Open-Source Cure For GPT-3 FOMO

Code, Language, Open Data, Open Software, Open Source

GPT-Neo: The Open-Source Cure For GPT-3 FOMO

GPT-3 was the largest language model when OpenAI released it last year. Now, Google Brain’s 1.6 trillion parameters language model (as opposed to GPT-3’s 175 billion parameters) has replaced GPT-3 as the largest language model. Both GPT-3 and Google Brain model are transformer-based neural networks.

Developers across the world were waiting for the arrival of GPT-3 with bated breath. But much to their disappointment, and a departure from their earlier signals, OpenAI exclusively sold the source code of GPT-3 to Microsoft. Interestingly, GPT and GPT-2 were open-source projects.

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Article: Learning how to learn is the future of higher education

Open Software, Open Source

Learning how to learn is the future of higher education

The internet makes world-class education available to anyone with a connected device these days, particularly if you want to study technology.
From Harvard’s Introduction to Computer Science to Coursera’s Advanced Computer Vision with TensorFlow, free course offerings run the gamut from beginner to expert.

But where to begin? Students don’t need more content, they need curation and a framework to guide them through the maze of available courses so that they spend their time wisely, building up useful knowledge that will translate into a career.

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Article: How Open Source is Driving the Future of Data Science

Free, Open Data, Open Software, Open Source

How Open Source is Driving the Future of Data Science

With its reliance on a community of physically dispersed individuals and flexibility of adoption, open-source data science is becoming an even more attractive choice among cash-strapped governments, non-profits, and businesses.

Over the past decade, data science and machine learning have made their way from an obscure academic discipline to widespread corporate adoption. The academic community has a natural preference towards open source. Science is a collaborative effort, and its advancement is best served by enabling as large a community as possible to build upon existing research.

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Article: What Does Python Do and What Can It Be Used For?

Language, Open Data

What Does Python Do and What Can It Be Used For?

Python is a general-purpose programming language with a focus on code readability. One of the most popular programming languages, it’s easy to learn, simple to read, and follows an object-oriented approach. Let’s explore what Python is used for, including its broad range of applications, then examine its limitations.

Python’s scientific libraries make it a popular choice for data science, particularly when it comes to data analysis and visualization. Python’s popularity in data science comes down to its library support—with the power of Python libraries, data scientists have the help they need to manage complex data problems.

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