A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...
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 ...
Valve sent the gaming world into a tizzy when it unveiled a new slate of hardware last month, which includes a small cube dubbed the Steam Machine. Once the initial excitement died down, fans noticed ...
ALBUQUERQUE, N.M. – Giving Machines are coming to Cottonwood Mall, allowing people to donate to charities with the push of a button. These machines, supported by The Church of Jesus Christ of ...
Coinbase is adding another Solana-focused piece to its growing trading empire with the acquisition of Vector, an on-chain trading platform built natively for Solana’s high-speed environment. The ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...
TL;DR: VKD3D-Proton 3.0 introduces AMD FSR 4 support and Anti-Lag for improved DirectX 12 game compatibility on Linux and SteamOS. Officially optimized for RDNA 4 GPUs, it includes fallback for older ...
In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...
Abstract: The Support Vector Machine (SVM) is a popular classification algorithm and is known for its generalization properties in machine learning. In this paper, we propose parallel implementation ...
A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple Silicon Mac and exporting it to CUDA. Machine learning is costly to enter, in ...
Apple’s MLX machine learning framework, originally designed for Apple Silicon, is getting a CUDA backend, which is a pretty big deal. Here’s why. The work is being led by developer @zcbenz on GitHub ...
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