A conversational process to disclose the reliability of information from Artificial Intelligence (Chat-GPT) on critical issues. source
Artificial intelligence (AI) and machine learning represent a major technological shift that is spurring a 21st century renaissance around customer experiences, creativity, and content. With AI adoption spanning nearly all industry verticals and lines of business, it’s fundamentally transforming productivity, business processes, content creation, data insights, and how brands are delivering personalized customer experiences. Given […]
This talk focuses on weakly supervised object detection, which aims to learn to predict bounding boxes from only image-level labels. The talk provides insights from 50+ papers in the literature; provides a common framework for weakly supervised object detection methods; finally discusses the recent state-of-the-art papers. More videos from the same ECCV tutorial: Tutorial website: […]
This video provides a brief recap of this introductory series on Physics Informed Machine Learning. We revisit the five stages of machine learning, and how physics may be incorporated into these stages. We also discuss architectures, symmetries, the digital twin, applications in engineering, and the importance of dynamical systems and controls benchmarks. This video was produced at […]
Chat GPT analysis ｜ A Critical Look at its Social and Business Implications* Get ready for a thought-provoking journey as we … source
https://www.construction-institute.org/ Sarah Newman is Director of Art & Education at metaLAB, Harvard. Watch her presentation from the 2022 CII Annual Conference in Cleveland. source
✅ Subscribe: https://bit.ly/rf-yt-sub We train an EfficientDet model in TensorFlow 2 to detect custom objects (blood cells), including setting up a TensorFlow 2 training environment, loading and converting our dataset to create TFRecord files, and configuring our EffecientDet-b0 training job. Finally, we use our newly minted custom detector to infer on test images that it […]
Gabriel Bayomi is the Co-Founder at OpenLayer, a tool that tests & debugs machine learning models. OpenLayer was in the YCombinator’s batch in 2021, building tools for machine learning model testing. Previously he was a machine learning engineer at Apple working on Siri. He has a master degree in computer science from Carnegie Mellon. He […]