Speculative decoding can help AI chatbots improve throughput and reduce hardware demand by using a smaller model to draft tokens that a larger model validates.

J. Craig Venter, the scientist who raced to decode the human genome, has died at age 79. Venter rose to fame in the field for publishing the first bacterial genome ever decoded, along with a list of ...

In automation, precision and reliability are no longer optional; they are requirements. For a wide variety of machine types and processes, linear guides provide that accuracy and high-capacity travel.

Abstract: Reliable and timely data collection poses a significant challenge for underwater wireless sensor networks (UWSNs), primarily due to the extremely low data rate of underwater communication ...

This project implements a Variational Autoencoder (VAE) for image generation. Unlike standard autoencoders, VAE learns a probabilistic latent space by encoding images to a distribution and sampling ...

This repository explores finetuning DINOv3 (Siméoni et al., 2025) or DINOv2 (Oquab et al., 2024) encoder weights using Low-Rank Adaptation (Hu et al., 2021) (LoRA) and a simple 1x1 convolution decoder ...

Abstract: In this letter, we propose a deep learning-based iterative residual encoder-decoder method (IRED), which provides an efficient deep learning framework for electromagnetic modeling over a ...

ABSTRACT: In this paper, a novel multilingual OCR (Optical Character Recognition) method for scanned papers is provided. Current open-source solutions, like Tesseract, offer extremely high accuracy ...

Successful test results of a new machine learning (ML) technique developed at Georgia Tech could help communities prepare for extreme weather and coastal flooding. The approach could also be applied ...