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Development Technology

Fine-grained Automated Failure Management on Extreme-Scale GPU Accelerated Systems by Balazs Gerofi

Failures in leadership-class accelerated HPC and AI systems have become increasingly common, and as these systems continue to scale, the frequency of failures is expected to rise. With hundreds of thousands of field-replaceable parts in such systems, automated failure management is essential. This talk introduces StabilityDB, a failure management automation framework that leverages real-time data […]

Development Technology

The Month of AI Day 2 | Object Detection to detect Human intrusion in tunnel | Sentiment Analysis

Hello AI enthusiasts, This time we are coming with “Month of AI” to reboot your RPA skills and boost your knowledge in Machine Learning & Artificial Intelligence. In this session we will see how to build one live Use-Case of “Object detection to detect human in train tunnel” and “Sentiment Analysis to predict airlines feedback” […]

Development Technology

Machine Learning as a Software Engineering Enterprise with Charles Isbell – #441

As we continue our NeurIPS 2020 series, we’re joined by friend-of-the-show Charles Isbell, Dean, John P. Imlay, Jr. Chair, and professor at the Georgia Tech College of Computing. This year Charles gave an Invited Talk at this year’s conference, You Can’t Escape Hyperparameters and Latent Variables: Machine Learning as a Software Engineering Enterprise. In our […]

Development Technology

Ting Chen | Pix2Seq: A New Language Interface for Object Detection and Beyond

Sponsored by Evolution AI: https://www.evolution.ai/ Papers: https://ai.googleblog.com/2022/04/pix2seq-new-language-interface-for.html Abstract (from Ting Chen): We present Pix2Seq, a simple and generic framework for object detection. Unlike existing approaches that explicitly integrate prior knowledge about the task, we simply cast object detection as a language modeling task conditioned on the observed pixel inputs. Object descriptions (e.g., bounding boxes and […]

Development Technology

@IndeedEng: Building an Integrated Machine Learning Pipeline

Video with Audio Description: https://youtu.be/FLSYDAn6ut4 Transcript: https://go.indeed.com/transcript-sparky On March 13, data scientist/engineer duo Bryan Davis and Avadh Patel presented systems that they developed at Indeed to aid in the training and deployment of machine learning models. Attendees left with a better understanding of the challenges data scientists face bringing their models to a production setting. […]