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Latest from MIT Tech Review – What happened when 20 comedians got AI to write their routines
AI is good at lots of things: spotting patterns in data, creating fantastical images, and condensing thousands of words into just a few paragraphs. But can it be a useful tool for writing comedy? New research suggests that it can, but only to a very limited extent. It’s an intriguing finding that hints at the…
Latest from Google AI – Google at ICML 2022
Posted by Cat Armato, Program Manager, University Relations Google is a leader in machine learning (ML) research with groups innovating across virtually all aspects of the field, from theory to application. We build machine learning systems to solve deep scientific and engineering challenges in areas of language, music, visual processing, algorithm development, and more. Core…
Latest from Google AI – Deep Learning with Label Differential Privacy
Posted by Pasin Manurangsi and Chiyuan Zhang, Research Scientists, Google Research Over the last several years, there has been an increased focus on developing differential privacy (DP) machine learning (ML) algorithms. DP has been the basis of several practical deployments in industry — and has even been employed by the U.S. Census — because it…
O’Reilly Media – Getting the Right Answer from ChatGPT
A couple of days ago, I was thinking about what you needed to know to use ChatGPT (or Bing/Sydney, or any similar service). It’s easy to ask it questions, but we all know that these large language models frequently generate false answers. Which raises the question: If I ask ChatGPT something, how much do I need…
Latest from Google AI – Scalable spherical CNNs for scientific applications
Posted by Carlos Esteves and Ameesh Makadia, Research Scientists, Google Research, Athena Team Typical deep learning models for computer vision, like convolutional neural networks (CNNs) and vision transformers (ViT), process signals assuming planar (flat) spaces. For example, digital images are represented as a grid of pixels on a plane. However, this type of data makes…
Latest from IBM Developer : Use your arms to make music
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…