News Category: High Performance

Deep Learning 101 — Role of Deep Learning in Artificial Intelligence

It is important to understand some basic concepts of AI, ML and Deep Learning to get a better sense of What they do and How they can be useful. Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like human. Machine...
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Assessing Progress in Automation Technologies

To assess the state of adoption of machine learning (ML) and AI, we recently conducted a survey that garnered more than 11,000 respondents. As I pointed out in previous posts, we learned many companies are still in the early stages of deploying machine learning: Companies cite “lack of data” and “...
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Deep Learning
The LF Deep Learning Foundation has created an interactive Deep Learning Landscape tool, intended as a map to explore open source AI, ML, DL projects.

Introducing the Interactive Deep Learning Landscape

The artificial intelligence (AI), deep learning (DL) and machine learning (ML) space is changing rapidly, with new projects and companies launching, existing ones growing, expanding and consolidating. More companies are also releasing their internal AI, ML, DL efforts under open source licenses to...
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2019 Predictions About Artificial Intelligence That Will Make Your Head Spin

Whether praised as a panacea for greater business efficiency or the feared as the demise of humanity,  Artificial Intelligence is upon us and will impact business and society at large in ways that we can only begin to imagine. Fasten your seatbelts. Here's what a few influencers in the arena say is...
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AI in 2019: 8 Trends to Watch

Forget the job-stealing robot predictions. Let's focus on artificial intelligence trends – around talent, security, data analytics, and more – that will matter to IT leaders. We decided to focus on the trends that matter most urgently to IT leaders – you don’t need another “AI is taking over the...
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Patrick Ball
Patrick Ball, Director of Research, Human Rights Data Analysis Group, offered examples of when statistics and machine learning have proved useful and when they’ve failed in this presentation from Open Source Summit Europe.

Machine Learning, Biased Models, and Finding the Truth

Machine learning and statistics are playing a pivotal role in finding the truth in human rights cases around the world – and serving as a voice for victims, Patrick Ball, director of Research for the Human Rights Data Analysis Group, told the audience at Open Source Summit Europe. Ball began his...
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What Is Machine Learning? We Drew You Another Flowchart

The vast majority of the AI advancements and applications you hear about refer to a category of algorithms known as machine learning. (For more background on AI, check out our first flowchart here.) Machine-learning algorithms use statistics to find patterns in massive* amounts of data. And data,...
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New TOP500 List Led by DOE Supercomputers

The latest TOP500 list of the world’s fastest supercomputers is out, a remarkable ranking that shows five Department of Energy supercomputers in the top 10, with the first two captured by Summit at Oak Ridge and Sierra at Livermore. With the number one and number two systems on the planet, the “...
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HPC Advances with Perlmutter and Sierra Supercomputers

There is a lot of activity and investment in the U.S supercomputer space now. After years of falling behind China for supercomputer superiority, the U.S is now storming back. On Oct. 26, the Department of Energy’s National Nuclear Security Administration (NNSA) Lawrence Livermore National...
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A Pioneering Scientist Explains Deep Learning

Buzzwords like “deep learning” and “neural networks” are everywhere, but so much of the popular understanding is misguided, says Terrence Sejnowski, a computational neuroscientist at the Salk Institute for Biological Studies. Sejnowski, a pioneer in the study of learning algorithms, is the author...
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