This week @Google introduced a suite of tools designed to make medical images more interoperable. We are encouraged to see that helping develop #artificialintelligence and #machinelearning models around them will be a key element of the initiative. http://tinyurl.com/mvn84bt3
Why are #machinelearning models trained to make medical decisions that perform at nearly the same level as human experts not in clinical use? https://www.linkedin.com/posts/pinakilaskar_machinelearning-algorithms-deeplearning-activity-6806429189512728576-8Dhl #BigData #Analytics #DataScience #Python #RStats #JavaScript #ReactJS #Serverless #Linux #Coding #100DaysofCode
Google developed Coral: a portable neural network accelerator. It will make it possible to use models locally without the need for cloud. Sending data to the cloud is a security risk for sensitive data (eg medical records). #MachineLearning #DataScience https://www.theverge.com/platform/amp/2020/1/14/21065141/google-coral-ai-edge-computing-products-applications-cloud?fbclid=IwAR1xGpoS5u-6qqSKDTBCztUlz5Os8KbFVg3aVTdHEXM1nQmEzvkvubv5BmU
MIT develops a system that lets nonspecialists use machine learning models to make predictions for medical research, sales, and more. #DataScience #MachineLearning @MIT https://hubs.ly/H0jJypg0
MIT develops a system that lets nonspecialists use machine learning models to make predictions for medical research, sales, and more. #DataScience #MachineLearning @MIT https://hubs.ly/H0jJxzD0
An interactive data-science system called Northstar from @MIT & @BrownUniversity aims to democratize data science by making it easy for nonspecialists to use machine-learning models to make predictions for medicine & beyond http://news.mit.edu/2019/drag-drop-data-analytics-0627 #AI #ML #BigData h/t @ZGJR
