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What’s New and What’s Next in 2023 for HPC

CIO

Moving forward, we will see workflows that are more capable and widely adopted to facilitate edge-core-cloud needs like generating meshes, performing 3D simulations, performing post-simulation data analysis, and feeding data into machine learning models—which support, guide, and in some case replace the need for simulation.

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How W4 plans to monetize the Godot game engine using Red Hat’s open-source playbook

TechCrunch

Today, Godot claims some 1,500 contributors, and is considered one of the world’s top open source projects by various metrics. In simple terms, a game engine serves up the basic building blocks required for developers to create games, and may include anything from renderers for 2D or 3D graphics, to scripting and memory management.

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Interpreting predictive models with Skater: Unboxing model opacity

O'Reilly Media - Data

Further evaluation and validation of models could be enabled using algorithms for model comparison for classification and regression using model specific scorers—AUC-ROC ( area under the receiver operating curve ) and MAE ( mean absolute error ). model comparison and performance evaluation. Let’s quickly touch on a few of those.

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AI in Drug Discovery and Repurposing: Benefits, Approaches, and Use Cases

Altexsoft

If this seems too long and complex, just make a comparison with a drug development process. In the biomedical domain, they serve to predict which compounds will precisely fit into a target molecule with a known 3d structure. It takes at least ten years and $2.6 billion to get a new medicine to the market. Real-life example.

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Interpretability in Machine Learning: the Look into Explainable AI

Altexsoft

Here’s one of good examples of weight visualizations for MRI scans, where the model must decide whether a given voxel (3d pixel) in MRI is associated with a brain tissue or not. The comparison between two images shows how the model reacts to two different inputs. P, N,G,S are input features. Probabilities aren’t convincing.

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Technology Trends for 2024

O'Reilly Media - Ideas

Just a few notes on methodology: This report is based on O’Reilly’s internal “Units Viewed” metric. Those gains only look small in comparison to the triple- and quadruple-digit gains we’re seeing in natural language processing. This is solid, substantial growth that only looks small in comparison with topics like generative AI.

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Technology Trends for 2022

O'Reilly Media - Ideas

When doing year-over-year comparisons, we used the first nine months of 2020. So while we can discuss whether Answers usage is in line with other services, it’s difficult to talk about trends with so little data, and it’s impossible to do a year-over-year comparison. But that isn’t a good metric.

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