Abstract Tesla’s full self-driving (FSD) computer is the world’s first purpose-built computer for the highly demanding workloads of autonomous driving. It is based on a new System on a Chip […]
Compute Solution for Tesla’s Full Self-Driving Computer Read More »
Abstract Deep learning and convolutional neural network technologies are increasingly used in the problems of analysis, segmentation, and recognition of objects in images. In this article, a convolutional neural network
Wildfire Segmentation on Satellite Images using Deep Learning Read More »
Abstract in this paper, we propose a deep learning approach for the segmentation of body parts in computer tomography (CT) localizer images. Such images pose dif[1]culties in the automatic image
Abstract COVID-19 has caused a global pandemic and become the most urgent threat to the entire world. Tremendous efforts and resources have been invested in developing diagnosis, prognosis and treatment
Abstract The Poppy Project aims to offer a platform accessible to beginners and experts, allowing robots to be used in multiple fields, including research and teaching. During the work with
Control Library modification to improve robot interaction with its environment Read More »
Abstract When deep learning models classify the actual data and outlier data, most of them do not have enough information about the outlier, which might cause misclassification. Therefore, there is
Visualization Techniques for Outlier Data Read More »
Abstract The use of lower precision has emerged as a popular technique to optimize the compute and storage requirements of complex deep neural networks (DNNs). In the quest for lower
TiM-DNN: Ternary In-Memory Accelerator for Deep Neural Networks Read More »
Abstract With renewed global interest for Artificial Intelligence (AI) methods, the past decade has seen a myriad of new programming models and tools that enable better and faster Machine Learning
Performance Analysis of Distributed and Scalable Deep Learning(DL) Read More »
Abstract Machine learning is known as the scientific study of various algorithms and statistics as well as models that can be used to create or perform certain tasks. These tasks
Abstract Discussion features in online communities can be effectively used to diagnose depression and allow other users or experts to provide self-help resources to those in need. Automatic emotion identification
