Abstract: In this paper, we propose an over-the-air (OTA)-based approach for distributed matrix-vector multiplications in the context of distributed machine learning (DML). Thanks to OTA computation, ...

Researchers create a photochromic fluorescent system that performs optical neural computing and visual output in one step, cutting power use and complexity. (Nanowerk News) The rapid growth of ...

The increasing computational demands of deep learning have brought power consumption to the forefront as a critical challenge, with matrix multiplications identified as a major performance bottleneck.

Ritwik is a passionate gamer who has a soft spot for JRPGs. He's been writing about all things gaming for six years and counting. No matter how great a title's gameplay may be, there's always the ...

Design your own custom Google Maps in seconds! This high-quality vector map tutorial shows you how to create clean, editable maps for architecture, urban planning, and presentations. #CustomGoogleMap ...

Welcome to LetsPS! 🎨🖥️ Master Photoshop, Illustrator, and InDesign with step-by-step tutorials designed to help you create stunning artwork! From photo manipulations and text effects to business ...

A new technical paper titled “Leveraging ASIC AI Chips for Homomorphic Encryption” was published by researchers at Georgia Tech, MIT, Google and Cornell University. “Cloud-based services are making ...

Posts from this topic will be added to your daily email digest and your homepage feed. Some experimental features are in the works for rotating vector images, producing sound effects from text ...

If you’re building generative AI applications, you need to control the data used to generate answers to user queries. Simply dropping ChatGPT into your platform isn’t going to work, especially if ...

Since homomorphic encryption enables SIMD operations by packing multiple values into a vector of operations and enabling pairwise addition or multiplication operations, one (old) conventional method ...