Search for tag: "popcorn machine"

108 Media

52:15 Jan Ernst - Automated Perception in the Real… Jan Ernst - Automated Perception in the Real World: The Problem of Scarce Data	Jan Ernst - Automated Perception in the Real World: The Problem of Scarce Data Machine perception is a key step toward artificial intelligence in domains such as self-driving cars, industrial automation, and robotics. Much progress has been made in the past decade, driven by… ml@gt seminar series georgia tech machine learning recorded by gtlibrary fall 2018 From Kathryn Gentilello 2 Months ago 2 views 0 name Jan Ernst Date 11/30/2018
58:52 Mohit Bansal - Multimodal, Personable, and… Mohit Bansal - Multimodal, Personable, and Knowledgeable Language Generation	Mohit Bansal - Multimodal, Personable, and Knowledgeable Language Generation In this talk, I will discuss my group's recent work on state-of-the-art natural language generation (NLG) and dialogue models that are multimodal, personality-based, and knowledge-rich. First,… ml@gt seminar series georgia tech machine learning recorded by gtlibrary fall 2018 From Kathryn Gentilello 2 Months ago 4 views 0 name Mohit Bansal Date 11/19/2018
59:52 Benjamin Recht - The Statistical Foundations of… Benjamin Recht - The Statistical Foundations of Learning to Control	Benjamin Recht - The Statistical Foundations of Learning to Control Given the dramatic successes in machine learning and reinforcement learning over the past half decade, there has been a surge of interest in applying these techniques to continuous control problems… ml@gt seminar series machine learning georgia tech recorded by gtlibrary fall 2018 From Kathryn Gentilello 2 Months ago 24 views 0 name Benjamin Recht Date 11/14/2018
01:00:05 Graham Poliner - Practical Applications of Signal… Graham Poliner - Practical Applications of Signal Processing and Machine Learning in a Dynamic Retail Environment	Graham Poliner - Practical Applications of Signal Processing and Machine Learning in a Dynamic Retail Environment The retail industry is the midst of rapid change due to intensifying competition from fragmented and non-traditional sources, expansion of assortment breadth and product availability, and more… ml@gt machine learning georgia tech recorded by gtlibrary fall 2018 From Kathryn Gentilello 3 Months ago 33 views 0 name Graham Poliner Date 10/31/2018
54:28 Ella Atkins - Data-to-Decisions for Safe… Ella Atkins - Data-to-Decisions for Safe Autonomous Flight	Ella Atkins - Data-to-Decisions for Safe Autonomous Flight Traditional sensor data can be augmented with new data sources such as roadmaps and geographical information system (GIS) Lidar/video to offer emerging unmanned aircraft systems (UAS) and urban air… ml@gt seminar series machine learning georgia tech recorded by gtlibrary fall 2018 From Kathryn Gentilello 3 Months ago 16 views 0 name Ella Atkins Date 11/07/2018
01:03:16 Hugo Larochelle - Few-shot Learning with… Hugo Larochelle - Few-shot Learning with Meta-Learning: Progress Made and Challenges Ahead	Hugo Larochelle - Few-shot Learning with Meta-Learning: Progress Made and Challenges Ahead A lot of the recent progress on many AI tasks enabled in part by the availability of large quantities of labeled data. Yet, humans are able to learn concepts from as little as a handful of examples.… ml@gt seminar series machine learning georgia tech recorded by gtlibrary fall 2018 From Kathryn Gentilello 3 Months ago 541 views 0 name Hugo Larochelle Date 10/15/2018
01:02:05 Gregory Diamos - Reaching Beyond Human Accuracy… Gregory Diamos - Reaching Beyond Human Accuracy With AI Datacenters	Gregory Diamos - Reaching Beyond Human Accuracy With AI Datacenters Deep learning has enabled rapid progress in diverse problems in vision, speech, healthcare, and beyond. This progress has been driven by breakthroughs in algorithms that can harness massive datasets… ml@gt seminar series machine learning georgia tech recorded by gtlibrary fall 2018 From Kathryn Gentilello 4 Months ago 7 views 0 name Gregory Diamos biography Greg Diamos leads computer systems research at Baidu’s Silicon Valley AI Lab (SVAIL), where he helped develop the Deep Speech and Deep Voice systems. Date 10/03/2018
01:04:46 Timnit Gebru - Understanding the limitations of… Timnit Gebru - Understanding the limitations of AI: When Algorithms Fail	Timnit Gebru - Understanding the limitations of AI: When Algorithms Fail Automated decision-making tools are currently used in high stakes scenarios. From natural language processing tools used to automatically determine one’s suitability for a job, to health… ml@gt seminar series machine learning georgia tech recorded by gtlibrary fall 2018 From Kathryn Gentilello 5 Months ago 35 views 0 name Timnit Gebru biography Timnit Gebru just finished her postdoc at Microsoft Research, New York City in the FATE (Fairness Transparency Accountability and Ethics in AI) group, where she studied algorithmic bias and the ethical implications underlying any data mining project. Date 09/05/2018
55:49 Bryan McCann - The Natural Language Decathlon:… Bryan McCann - The Natural Language Decathlon: Multitask Learning as Question Answering	Bryan McCann - The Natural Language Decathlon: Multitask Learning as Question Answering Deep learning has improved performance on many natural language processing (NLP) tasks individually. However, general NLP models cannot emerge within a paradigm that focuses on the particularities of… ml@gt seminar series machine learning georgia tech recorded by gtlibrary fall 2018 From Kathryn Gentilello 5 Months ago 80 views 0 name Bryan McCann biography Bryan McCann is a Senior Research Scientist at Salesforce. He focuses on transfer learning and multitask learning for natural language processing. Most recently, Bryan proposed the Natural Language Decathlon (decaNLP) and a Multitask Question Answering Network to tackle all ten tasks in decaNLP. Before decaNLP, he showed that the intermediate representations, or context vectors (CoVe), of machine translation systems carry information that aids learning in question answering and text classification systems. Prior to working at Salesforce, Bryan studied at Stanford University, where he completed a B.S and M.S in Computer Science as well as a B.A in Philosophy. Date 08/28/2018
01:05:09 AI Information Session - Anna Almejo, Mason Bretan AI Information Session - Anna Almejo, Mason Bretan	AI Information Session - Anna Almejo, Mason Bretan In this talk, we will cover general info about Samsung Research America and more specifically the research and projects happening within the Artificial Intelligence team including personal… ml@gt seminar series machine learning georgia tech recorded by gtlibrary spring 2018 From Kathryn Gentilello 9 Months ago 24 views 0 name Anna Almejo, Mason Bretan Date 04/17/2018