This step-by-step guide explains how to use Discrete Device Assignment to attach a physical GPU directly to a Hyper-V virtual machine, enabling hardware-accelerated workloads such as AI while ...
Researchers have developed a powerful machine learning framework that can accurately predict and optimize biochar production from algae, offering a ...
Documentary filmmaker Valerie Veatch joined IndieWire's Sundance Studio to discuss her artificial intelligence essay film, "Ghost in the Machine." ‘In the Blink of an Eye’ Review: Andrew Stanton’s ...
On April 18, 2025, the Federal Circuit upheld the district court’s dismissal of the case on the ground that the patents were ...
A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
Abstract: Existing machine learning-based methods for series arc fault (SAF) identification still suffer from slow training speed when dealing with large-scale SAF datasets. For this reason, we ...
ScyllaDB Vector Search is built on ScyllaDB’s shard-per-core architecture with a Rust-based extension that leverages the USearch approximate-nearest-neighbor (ANN) search library. The architecture ...
Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...
Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall accuracy across long time series. This design inherently favors common, low ...
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