By AI Trends Staff While AI in hiring is now widely used for writing job descriptions, screening candidates, and automating interviews, it poses a risk of wide discrimination if not implemented carefully. Keith Sonderling, Commissioner, US Equal Opportunity Commission That was the message from Keith Sonderling, Commissioner with the US Equal Opportunity Commision, speaking at the AI…
By John P. Desmond, AI Trends Editor Advancing trustworthy AI and machine learning to mitigate agency risk is a priority for the US Department of Energy (DOE), and identifying best practices for implementing AI at scale is a priority for the US General Services Administration (GSA). That’s what attendees learned in two sessions at the AI…
By John P. Desmond, AI Trends Editor The AI stack defined by Carnegie Mellon University is fundamental to the approach being taken by the US Army for its AI development platform efforts, according to Isaac Faber, Chief Data Scientist at the US Army AI Integration Center, speaking at the AI World Government event held in-person and virtually…
Summary The IBM Model Asset eXchange (MAX) models that are hosted on the Machine Learning eXchange (https://ml-exchange.org/models/) have given application developers without data science experience easy access to prebuilt machine learning models. This code pattern shows how to create a simple web application to visualize the text output of a MAX model. The web app…
Summary The introduction of the IBM Model Asset eXchange (MAX) that is hosted on the Machine Learning eXchange has given application developers without data science experience easy access to prebuilt machine learning models. This code pattern shows how simple it can be to create a web app that utilizes a MAX model. The web app…
Summary This developer code pattern demonstrates how you can create your own music based on your arm movements in front of a webcam. It uses the Model Asset eXchange (MAX) Human Pose Estimator model and TensorFlow.js. Description This code pattern is based on Veremin, but modified to use the Human Pose Estimator model from the…
Summary This IBM Developer code pattern explains how to detect human poses in a given image by using the Human Pose Estimator model from the Model Asset eXchange that is hosted on the Machine Learning eXchange. Using coordinates, the pose lines that are created by the model are assembled into full body poses for each…
Summary In this code pattern, learn how to build a chatbot that answers a user’s questions by finding the answer in a college biology textbook. Description Ever found yourself wondering what mitochondria are? Perhaps you are curious about how neurons communicate with each other? A Google search works well to answer your questions, but what…
Watson Studio Local is now part of IBM Cloud Pak for Data. Learn more Cloud Pak for Data. Summary This code pattern demonstrates how data scientists can leverage remote Spark clusters and compute environments to train and deploy a spam filter model. The model is built using natural language processing and machine learning algorithms and…
Note: This code pattern uses the classic Watson Assistant experience. After October 8, 2021, all instances (except the standard plan) can switch between the classic and new Watson Assistant experiences by going to the upper-right corner of the Watson Assistant screen and clicking the Manage icon. See the Watson Assistant page for more information on…