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Tony Shan
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GitHub's Innovation Graph shows JavaScript's dominance, an uptick in the use of obscure programming languages during Advent of Code, and a surge in documentation due to AI-powered tools.
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Tony Shan
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Tony Shan
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SASE can provide secure and efficient access to cloud-based services and resources for users, regardless of their location. Follow this checklist to attain this goal.
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Tony Shan
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While Flux lost Weaveworks-employed Flux contributors, most of them continue their work on the project and it continues to have a significant and active contributor and user base.
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HPCwire is happy to announce a new series with Hyperion Research – a fact-based market research firm focusing on the HPC market. In addition to providing market insights and research, Hyperion also sponsors the HPC User Forum, a twice-a-year US and two international meetings where important topics are discussed. A volunteer steering committee of major user organizations in government, industry, and academia sets meeting agendas. This year, the Spring meeting is in Reston, Virginia.
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Tony Shan
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Scooped by
Tony Shan
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Scooped by
Tony Shan
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Scooped by
Tony Shan
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Artificial neural networks are computing systems with interconnected layers that process and learn from data. During training, neural networks utilize optimization algorithms to iteratively refine their parameters until they converge to a solution that accurately models the data. This convergence process is crucial but can be extremely slow, taking days or weeks to complete with standard methods. Speeding up convergence enables quicker, more efficient neural network training; this allows these powerful models to be rapidly deployed for time-sensitive applications like self-driving cars, medical imaging, and fraud detection. Researchers have developed numerous innovative techniques to accelerate neural network convergence. This article compares popular methods of fast convergence methods for neural networks and provides insights into the most promising approaches for expedited training among the diverse options available.
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Tony Shan
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The momentous transformation putting data managers and their systems at the helm of modern enterprises has only begun. Industry leaders and experts agree that it's critical for data managers and team leaders to design today's data architectures to meet the demands of a digital economy, from cloud to real-time streaming to AI.
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Kinetica, the real-time GPU-accelerated database for analytics and generative AI, unveiled at NVIDIA GTC its real-time vector similarity search engine that can ingest vector embeddings 5X faster than the previous market leader, based on the popular VectorDBBench benchmark.
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Software testing continues to be the number one technique to satisfy safety, security, and privacy requirements. Yet, manual testing is laborious, calling for automated software testing. While automatically running software tests is current practice, one still must write all these tests.
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Tony Shan
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Scooped by
Tony Shan
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Scooped by
Tony Shan
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Scooped by
Tony Shan
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Kubecost, a Kubernetes cost monitoring and management solution, recently announced the launch of Kubecost 2.0, a major upgrade that brings many new features to help organizations better monitor, manage, and optimize their Kubernetes-related cloud expenses. Some of the new features include advanced network monitoring and improved cost forecasting powered by machine learning, and a high-performance API backend.
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TROY, NY, April 5, 2024 — Today, Rensselaer Polytechnic Institute (RPI) and IBM unveiled the first IBM quantum computer on a university campus. Building on RPI’s bicentennial celebration of 200 years of firsts, the university said IBM Quantum System One will enhance educational and research opportunities for itself and other academic institutions and organizations across the New York region that wish to partner with RPI. Faculty, researchers, students, and collaborators accessing the system will aim to advance quantum computing research, including the search for quantum algorithms that could lead to quantum advantage, while also actively building the next generation of the quantum workforce alongside IBM.
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Tony Shan
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Scooped by
Tony Shan
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Scooped by
Tony Shan
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Tony Shan
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Getting enough of the right data is one of the most persistent challenges in machine learning. Growing privacy concerns make this even more of an obstacle. Amid these difficulties, synthetic data has emerged as a promising solution.
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What happens when Department of Energy (DOE) researchers join forces with chemists and biologists at the National Cancer Institute (NCI). They use the most advanced high-performance computers to study cancer at the molecular, cellular and population levels.
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Tony Shan
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In today’s data-driven world, data observability is a critical concept for organizations aiming to effectively manage their data. Simply put, it means having the ability to constantly monitor and understand the status of your data. This includes tracking where it comes from, where it’s going, whether it’s on time and in the right quantity, its quality, and any recent changes in behavior. Data observability helps answer essential questions about your data and ensures it remains reliable. In this article, we’ll delve into what data observability is, why it matters, the advantages it offers, and when it’s the right time to adopt it.
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