Category: Misc

Classifier models are specialized in categorizing data into predefined groups or classes, playing a crucial role in optimizing data processing pipelines for…

Classifier models are specialized in categorizing data into predefined groups or classes, playing a crucial role in optimizing data processing pipelines for fine-tuning and pretraining generative AI models. Their value lies in enhancing data quality by filtering out low-quality or toxic data, ensuring only clean and relevant information feeds downstream processes. Beyond filtering…

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RAPIDS 24.12 introduces cuDF packages to PyPI, speeds up groupby aggregations and reading files from AWS S3, enables larger-than-GPU memory queries in the…

RAPIDS 24.12 introduces cuDF packages to PyPI, speeds up aggregations and reading files from AWS S3, enables larger-than-GPU memory queries in the Polars GPU engine, and faster graph neural network (GNN) training on real-world graphs. Starting with the 24.12 release of RAPIDS, CUDA 12 builds of , , , and all of their dependencies are now available on PyPI. As a result…

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Each year, the world recycles only around 13% of its two billion-plus tons of municipal waste. By 2050, the world’s annual municipal waste will reach 3.88B…

Each year, the world recycles only around 13% of its two billion-plus tons of municipal waste. By 2050, the world’s annual municipal waste will reach 3.88B tons. But the global recycling industry is far from efficient. Annually, as much as $120B of potentially recoverable plastic—let alone paper or metals—ends up in landfills rather than within new products made with recycled materials.

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Risk and uncertainty inherent in energy exploration include unknown geological parameters, variations in fluid and rock properties, boundary conditions, and…

Risk and uncertainty inherent in energy exploration include unknown geological parameters, variations in fluid and rock properties, boundary conditions, and noisy observational data. Rigorous calibration of uncertainty for key reservoir engineering tasks and field optimization requires running a large number of forward simulations. Use cases range from history matching and probabilistic…

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Filmmaking is an intricate and complex process that involves a diverse team of artists, writers, visual effects professionals, technicians, and countless other…

Filmmaking is an intricate and complex process that involves a diverse team of artists, writers, visual effects professionals, technicians, and countless other specialists. Each member brings their unique expertise to the table, collaborating to transform a simple idea into a captivating cinematic experience. From the initial spark of a story to the final cut, every step requires creativity…

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Stuck in a gaming rut? Get out of the loop this GFN Thursday with four new games joining the GeForce NOW library of over 2,000 supported games. Dive into Square Enix’s mind-bending action role-playing games (RPGs) NieR:Automata and NieR Replicant ver.1.22474487139…, now streaming in the cloud. Plus, explore HoYoverse’s Zenless Zone Zero for an adrenaline-packed
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Shoppers pondering a new hairstyle can now try styles before committing to curls or a new color. An AI app by Ulta Beauty, the largest specialty beauty retailer in the U.S., uses selfies to show near-instant, highly realistic previews of desired hairstyles. GLAMlab Hair Try On is a digital experience that lets users take a
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Large language models (LLMs) are rapidly changing the business landscape, offering new capabilities in natural language processing (NLP), content generation,…

Large language models (LLMs) are rapidly changing the business landscape, offering new capabilities in natural language processing (NLP), content generation, and data analysis. These AI-powered tools have improved how companies operate, from streamlining customer service to enhancing decision-making processes. However, despite their impressive general knowledge, LLMs often struggle with…

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XGBoost is a machine learning algorithm widely used for tabular data modeling. To expand the XGBoost model from single-site learning to multisite collaborative…

XGBoost is a machine learning algorithm widely used for tabular data modeling. To expand the XGBoost model from single-site learning to multisite collaborative training, NVIDIA has developed Federated XGBoost, an XGBoost plugin for federation learning. It covers vertical collaboration settings to jointly train XGBoost models across decentralized data sources, as well as horizontal histogram-based…

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