BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

This repository is the pytorch implementation for the crowd counting model, LSC-CNN, proposed in the paper - Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection. If you ...

any sustained underfunding could “degrade the foundational data used for policymaking, market analysis and business planning,” he said. BLS officials did not respond to questions posed by CNN ...

Abstract: The forecast of frost occurrence requires complex decision analysis that uses conditional probabilities ... is used to detect frost events with Convolutional Neural Network (CNN). We have ...

“By embedding generative AI into familiar SQL syntax, Snowflake enables data analysts to execute tasks like sentiment analysis, image classification, and document parsing without writing Python ...

Allow the Sale, Sharing or use of My Personal information for Targeted Advertising If you switch this toggle to “no,” we will not sell or share your personal information with third parties for ...

Gaur suggested that additional training on high-quality annotated data might help align model ... forward to seeing MedGemma 27B support image analysis as well. The models can be adapted through ...

This study introduces a novel 3D Convolutional Neural Network with integrated Self-Attention (3D-ACNN), specifically designed for the volumetric analysis of multi-channel EEG data. The proposed ...

NEAT is a python library for the study, simulation and simplification of morphological neuron models. NEAT accepts morphologies in the de facto standard .swc format [Cannon1998], and implements ...