Tag: Ai and machine learning
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Shift left vs shift right: A DevOps mystery solved
Posted on June 19, 2024, Level beginner Resource Length short
Shift left and shift right are core testing concepts of the agile DevOps methodology, which speeds up application development by releasing small builds frequently as code evolves. As part of the continuous cycle of progressive delivery, DevOps teams are also adopting shift left and shift right principles to ensure software quality in these dynamic environments. By Saif Gunja.
Tags devops-and-ci-cd ai-and-machine-learning testing-and-quality
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Everything Apple Intelligence will do for you (so far)
Posted on June 14, 2024, Level beginner Resource Length medium
While the arrangement between OpenAI and Apple is attracting a lot of attention, Apple has put together a sizable number of its own large language model (LLM) tools that will run on a compatible device or in its secure cloud, Private Cloud Compute. By Jonny Evans.n.
Tags ai-and-machine-learning product-and-design data-and-analytics business-and-emerging-tech
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Unleashing the power of graph and vector databases in the age of generative AI
Posted on June 2, 2024, Level beginner Resource Length short
The rise of generative AI has transformed the landscape of data storage and analysis, but it's also showcasing the importance of key data management approaches, especially between graph and vector databases as powerful tools for this new era. Understanding the unique strengths and best practices of each technology is essential to help supercharge these proven machine learning techniques to maximize the potential gains from generative AI. By insidebigdata.com.
Tags data-and-analytics product-and-design ai-and-machine-learning leadership-and-career
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Microsoft infuses AI into DevOps workflows
Posted on May 30, 2024, Level beginner Resource Length medium
Microsoft added a bevy of tools to its portfolio that infuses generative artificial intelligence (AI) into DevOps workflows. By Mike Vizard.
Tags ai-and-machine-learning product-and-design leadership-and-career
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Researchers harness 2D magnetic materials for energy-efficient computing
Posted on April 26, 2024, Level beginner Resource Length medium
An MIT team precisely controlled an ultrathin magnet at room temperature, which could enable faster, more efficient processors and computer memories. By Adam Zewe.
Tags ai-and-machine-learning business-and-emerging-tech cloud-and-infrastructure software-engineering data-and-analytics
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Powering and cooling AI and accelerated computing in the data room
Posted on April 25, 2024, Level beginner Resource Length long
Artificial intelligence (AI) is here, and it is here to stay. "Every industry will become a technology industry," according to NVIDIA founder and CEO, Jensen Huang. The use cases for AI are virtually limitless, from breakthroughs in medicine to high-accuracy fraud prevention. AI is already transforming our lives just as it is transforming every single industry. It is also beginning to fundamentally transform data center infrastructure. By Anton Chuchkov, Brad Wilson.
Tags ai-and-machine-learning cloud-and-infrastructure miscellaneous data-and-analytics
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Most cloud-based genAI performance stinks
Posted on April 20, 2024, Level beginner Resource Length medium
Without basic computer architecture best practices, generative AI systems are sluggish. Here are a few tips to optimize complex systems. By David Linthicum.
Tags ai-and-machine-learning cloud-and-infrastructure software-engineering leadership-and-career
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Scientists transform everyday materials into conductors for Quantum computers
Posted on March 23, 2024, Level beginner Resource Length short
Researchers at the University of California, Irvine and Los Alamos National Laboratory, publishing in the latest issue of Nature Communications, describe the discovery of a new method that transforms everyday materials like glass into materials scientists can use to make quantum computers. The advance will allow researchers to transform everyday materials into conductors for use in quantum computers. By technologynetworks.com.
Tags ai-and-machine-learning business-and-emerging-tech cloud-and-infrastructure miscellaneous data-and-analytics architecture-and-apis
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How IBM is helping accelerate AI adoption and application centric connectivity
Posted on March 19, 2024, Level beginner Resource Length short
Outside the glitz of new phones, connected cars and 5G with everything, there are some real challenges the industry must address. Top of mind for me are three key challenges, and opportunities, to which we must all pay attention, should we expect our industry to remain healthy. By Andrew Coward.
Tags cloud-and-infrastructure ai-and-machine-learning leadership-and-career data-and-analytics
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Mastering Python for Data Science: Beyond the basics
Posted on March 18, 2024, Level beginner Resource Length medium
Python reigns supreme in the data science world, yet many aspiring (and even veteran) data scientists only scratch the surface of its true capabilities. To truly master data analysis with Python, you must venture beyond the basics and use advanced techniques tailored for efficient data manipulation, parallel processing, and leveraging specialized libraries. By Nahla Davies.
Tags backend-development product-and-design frontend-and-mobile data-and-analytics ai-and-machine-learning
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And the AI winner is... IBM?
Posted on March 17, 2024, Level beginner Resource Length medium
IBM is focusing its AI initiatives on the business case instead of trying to get customers to focus on AI, and that's what sets it apart. Who's the leader in AI? If you ask Wall Street or the media, the answer you almost always get is either Nvidia or OpenAI. Google and Microsoft also get some mentions. But for the most part, those four vendors seem to garner all the good AI ink. By Tom Nolle.
Tags cloud-and-infrastructure product-and-design ai-and-machine-learning leadership-and-career
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Faster computers: First graphene semiconductor paves the way
Posted on March 9, 2024, Level beginner Resource Length medium
Researchers have showcased the first functional graphene semiconductor. The discovery could change computing and electronics forever. By Fred Schwaller.
Tags leadership-and-career ai-and-machine-learning cloud-and-infrastructure