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COVID-19 Detection using #AI and Machine Learning in Web Server

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Sign in to report inappropriate content. We use deep networks for the detection of COVID-19 using Machine Learning and Neural Networks. Don't use the service for self-diagnosis and seek help from your local health authorities.


Artificial Intelligence for COVID-19 Detection

#artificialintelligence

We use deep networks for the detection of COVID-19, they are currently at a research stage and not yet intended as production-ready models (not meant for direct clinical diagnosis).Please do not use COVID-Net for self-diagnosis and seek help from your local health authorities..


Artificial Intelligence Arms Race Creating Multi-Billion-Dollar Opportunity

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Artificial intelligence is the next big military advantage. For example, in early 2019, the U.S. announced a strategy for harnessing AI in many parts of the military including. Intelligence analysis, decision-making, vehicle autonomy, logistics, and weaponry, reports Technology Review. In fact, according to the U.S. Army, "The AI market was more than $21 billion in 2018, and it is expected to grow almost nine times larger by 2025. AI systems provide predictive analysis to interpret human inputs, determine what we most likely want, and then provide us with highly relevant information."


How to Turn Your Business into a Cognitive Enterprise with AI Technologies? Hacker Noon

#artificialintelligence

Artificial Intelligence is everywhere, opportunities are in abundance for cognitive enterprises. What do we mean by cognitive enterprises? Millions of ideas and think pieces are waiting to grow luxuriantly and cognitive AI technologies will play a bigger role in turning your ideas into a live piece of work. It is expected that AI will bring simplicity to complex business issues and deliver more useful, engaging, intuitive, and profitable solutions, and this is what we say a cognitive approach for enterprises. According to a report published by IDC a market research firm states that global spending on cognitive AI systems will reach $57.6 billion by 2021.


xinshuoweng/AB3DMOT

#artificialintelligence

This repository contains the official python implementation for "A Baseline for 3D Multi-Object Tracking". However, recent works for 3D MOT tend to focus more on developing accurate systems giving less regard to computational cost and system complexity. In contrast, this work proposes a simple yet accurate real-time baseline 3D MOT system. We use an off-the-shelf 3D object detector to obtain oriented 3D bounding boxes from the LiDAR point cloud. Then, a combination of 3D Kalman filter and Hungarian algorithm is used for state estimation and data association.


Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends

#artificialintelligence

Deep learning (DL) has great influence on large parts of science and increasingly established itself as an adaptive method for new challenges in the field of Earth observation (EO). Nevertheless, the entry barriers for EO researchers are high due to the dense and rapidly developing field mainly driven by advances in computer vision (CV). To lower the barriers for researchers in EO, this review gives an overview of the evolution of DL with a focus on image segmentation and object detection in convolutional neural networks (CNN). The survey starts in 2012, when a CNN set new standards in image recognition, and lasts until late 2019. Thereby, we highlight the connections between the most important CNN architectures and cornerstones coming from CV in order to alleviate the evaluation of modern DL models.


New AI-powered knowledge hub to fuel social innovation

#artificialintelligence

One of the defining aspects of COVID-19 is its disproportionate impact on underserved communities and the harsh spotlight it shines on existing social equity issues around the world. From access to quality education, jobs or affordable healthcare, COVID-19 is magnifying virtually every inequality in our communities. Never has there been a more important time to capture the moment to create the solutions the world needs to make a positive and lasting contribution to the social inequity issues of our generation. Solutions will come from all corners and technology innovators will need to play their part. Building on Microsoft's long-standing efforts to ensure technology fulfills its promise to address the world's biggest challenges, Microsoft joined efforts with Giving Tech Labs to unleash the power of public interest technology.


New AI-powered knowledge hub to fuel social innovation - Microsoft on the Issues

#artificialintelligence

One of the defining aspects of COVID-19 is its disproportionate impact on underserved communities and the harsh spotlight it shines on existing social equity issues around the world. From access to quality education, jobs or affordable healthcare, COVID-19 is magnifying virtually every inequality in our communities. Never has there been a more important time to capture the moment to create the solutions the world needs to make a positive and lasting contribution to the social inequity issues of our generation. Solutions will come from all corners and technology innovators will need to play their part. Building on Microsoft's long-standing efforts to ensure technology fulfills its promise to address the world's biggest challenges, Microsoft joined efforts with Giving Tech Labs to unleash the power of public interest technology.


AI application launched for COVID-19 pneumonia detection

#artificialintelligence

BioMind has launched an artificial intelligence (AI) application to assist in the detection of COVID-19 associated pneumonia on medical imaging. The AI application identifies anomalies in the lungs and assists in detection of COVID-19 pneumonia. It analyses the lung pathology on chest CT to aid in the assessment and comes with triage capability. With the sudden surge in admission of respiratory-related patients globally, triaging can help to reduce the increasing burden on the intensive care units (ICU) and address the shortage of medical resources. Raymond Moh, CEO of BioMind, said: "We are proud to receive the Health Sciences Authority's approval for our COVID-19 diagnostics support product. This was born out of the immense efforts and collaborations between clinicians, lung specialists and our engineers. In an unprecedented crisis like this, we hope to quickly scale our solution in Asia, Europe, Middle East and USA to equip physicians with smart tools to detect and manage COVID-19 pneumonia. Artificial intelligence will be their useful assistant daily in this long battle."


Nvidia Jetson Xavier NX review: Redefining GPU accelerated machine learning

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Nvidia launched the Jetson Xavier NX embedded System-on-Module (SoM) at the end of last year. It is pin-compatible with the Jetson Nano SoM and includes a CPU, a GPU, PMICs, DRAM, and flash storage. However, it was missing an important accessory, its own development kit. Since a SoM is an embedded board with just a row of connector pins, it is hard to use out-of-the-box. A development board connects all the pins on the module to ports like HDMI, Ethernet, and USB.