Search for tag: "machine learning"

57 Media

01:06:03 Jennifer Neville - Towards Relational AI: The… Jennifer Neville - Towards Relational AI: The Good, the Bad, and the Ugly of Learning over Networks	Jennifer Neville - Towards Relational AI: The Good, the Bad, and the Ugly of Learning over Networks machine learning in science and engineering conference georgia tech institute for data engineering and science recorded by gtlibrary spring 2019 From Kathryn Gentilello 2 Months ago 30 views 0 name Jennifer Neville Date 06/10/2019
43:48 Eliu Antonio Huerta Escudero - Convergence of… Eliu Antonio Huerta Escudero - Convergence of Deep Learning and High Performance Computing: A Paradigm Shift for Multi-Messenger Astrophysics	Eliu Antonio Huerta Escudero - Convergence of Deep Learning and High Performance Computing: A Paradigm Shift for Multi-Messenger Astrophysics machine learning in science and engineering conference institute for data engineering and science georgia tech recorded by gtlibrary spring 2019 From Kathryn Gentilello 2 Months ago 9 views 0 name Eliu Antonio Huerta Escudero Date 06/11/2019
55:50 Daniel Neill - Machine Learning and Event… Daniel Neill - Machine Learning and Event Detection for Population Health	Daniel Neill - Machine Learning and Event Detection for Population Health machine learning in science and engineering conference institute for data engineering and science georgia tech recorded by gtlibrary spring 2019 From Kathryn Gentilello 2 Months ago 9 views 0 name Daniel Neill Date 06/12/2019
01:01:49 John McDonald - The Potential of Machine Learning… John McDonald - The Potential of Machine Learning for Improved Diagnostics and Treatment	John McDonald - The Potential of Machine Learning for Improved Diagnostics and Treatment machine learning in science and engineering conference institute for data engineering and science georgia tech recorded by gtlibrary spring 2019 From Kathryn Gentilello 2 Months ago 4 views 0 name John McDonald Date 06/12/2019
45:23 Ross Thomson - Tools and Methods for Machine… Ross Thomson - Tools and Methods for Machine Learning	Ross Thomson - Tools and Methods for Machine Learning machine learning in science and engineering conference institute for data engineering and science georgia tech recorded by gtlibrary spring 2019 From Kathryn Gentilello 2 Months ago 8 views 0 name Ross Thomson Date 06/12/2019
51:54 Ashwin Swaminathan - Perception at Magic Leap Ashwin Swaminathan - Perception at Magic Leap	Ashwin Swaminathan - Perception at Magic Leap This talk presents the importance of Computer Vision and Deep learning techniques in making Magic Leap an effective spatial computing platform. The four fundamental modalities are introduced: head… machine learning ml@gt seminar series georgia tech recorded by gtlibrary spring 2019 From Kathryn Gentilello 4 Months ago 24 views 0 name Ashwin Swaminathan Date 04/19/2019
57:51 Sanjeev Srivastava - AI Driven Design Approach Sanjeev Srivastava - AI Driven Design Approach	Sanjeev Srivastava - AI Driven Design Approach Design Space Exploration (DSE) is an activity that is performed to systematically analyze several design points and then select the design(s) based on parameters of interest and design requirements.… ml@gt seminar series machine learning georgia tech recorded by gtlibrary spring 2019 From Kathryn Gentilello 5 Months ago 4 views 0 name Sanjeev Srivastava Date 04/03/2019
54:04 Oliver Brdicka - Contextual AI - The Next… Oliver Brdicka - Contextual AI - The Next Frontier Towards Human-Centric Artificial Intelligence	Oliver Brdicka - Contextual AI - The Next Frontier Towards Human-Centric Artificial Intelligence This talk motivates a more human-centric wave of AI, dubbed Contextual AI. Contextual AI does not refer to a specific algorithm or machine learning method - instead, it takes a human-centric view… ml@gt seminar series machine learning georgia tech recorded by gtlibrary spring 2019 From Kathryn Gentilello 6 Months ago 6 views 0 name Oliver Brdicka Date 02/28/2019
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 9 Months ago 6 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 9 Months ago 8 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 9 Months ago 45 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 9 Months ago 55 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 10 Months ago 19 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 10 Months ago 903 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 11 Months ago 23 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 A year ago 43 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