Abstract: A binarized neural-network (BNN) accelerator macro is developed based on a processing-in-memory (PIM) architecture having the ability of eight-parallel multiply-accumulate (MAC) processing.

NVIDIA's PyNvVideoCodec 2.0 introduces significant enhancements for GPU-accelerated video processing in Python, offering new features for AI, multimedia, and streaming applications. NVIDIA has ...

Kadena has launched Chainweb EVM, a new execution layer aimed at easing long-standing constraints in blockchain development. With dozens of projects already live on testnet, the rollout signals a ...

Burmese pythons, an invasive species in the Everglades, are being hunted and their skins used for luxury goods. Hunters like Zach Hoffman and Amy Siewe detail the process of skinning and preparing ...

The Federal Trade Commission has reached a settlement with U.K.-based payment processor Paddle.com Market Limited and its U.S. subsidiary, Paddle.com, Inc., that includes a $5 million payment and a ...

Abstract: As a computer-integrated manufacturing system, cluster tools are widely used for semiconductor manufacturing. To tackle their scheduling problems with parallel processing chambers, existing ...

One of the most useful new features that Microsoft has incorporated into Excel in recent years is the ability to incorporate Python code directly into a spreadsheet. While it has long been possible to ...

This project utilizes the keys of OpenAI's $5 accounts by purchasing a large number of $5 keys and combining key management with multithreading to process large amounts of data in parallel, bypassing ...

Asynchronous tool for fetching and processing YouTube audio data using yt-dlp, designed to aid scalable and efficient data collection and analysis for academic research projects.

In this study, we delve into the realm of efficient Big Data Engineering and Extract, Transform, Load (ETL) processes within the healthcare sector, leveraging the robust foundation provided by the ...