Applied AI
113 videos • 81 views • by The TWIML AI Podcast with Sam Charrington
Whether we know it or not, ML & AI is all around us. In these episodes, you'll hear more about these real-world use cases.
1
AI for Network Management with Shirley Wu - 710
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2
ML Models for Safety-Critical Systems with Lucas García - 705
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3
AI Regulation and Automated Decisioning with Peter van der Putten - 699
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4
Building Real-World LLM Products with Fine-Tuning and More with Hamel Husain - 694
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5
Accelerating Sustainability with AI with Andres Ravinet - 689
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6
AI Sentience, Agency and Catastrophic Risk with Yoshua Bengio - 654
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7
Applied AI/ML Research at PayPal with Vidyut Naware - #593
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8
Transformers for Tabular Data at Capital One with Bayan Bruss - #591
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9
Full-Stack AI Systems Development with Murali Akula - #563
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10
Deep Learning, Transformers, and the Consequences of Scale with Oriol Vinyals - #546
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11
Predictive Maintenance Using Deep Learning and Reliability Engineering with Shayan Mortazavi - #540
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12
Learning to Ponder: Memory in Deep Neural Networks - #528
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13
Deep Learning is Eating 5G. Here’s How, w/ Joseph Soriaga - #525
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14
Codex, OpenAI’s Automated Code Generation API with Greg Brockman - 509
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15
Agile Applied AI Research with Parvez Ahammad - #492
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16
Accelerating Distributed AI Applications at Qualcomm with Ziad Asghar - #489
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17
Applied AI Research at AWS with Alex Smola - #487
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18
Building the Product Knowledge Graph at Amazon with Luna Dong - #457
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19
The Future of Autonomous Systems with Gurdeep Pall - #450
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20
Pixels to Concepts with Backpropagation w/ Roland Memisevic - #427
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21
Scaling Enterprise ML in 2020: Still Hard! with Sushil Thomas - #429
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22
Human-AI Collaboration for Creativity with Devi Parikh - #399
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23
Quantum Machine Learning: The Next Frontier? - With Iordanis Kerenidis - #397
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24
Graph ML Research at Twitter with Michael Bronstein - #394
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25
The Great ML Language (Un)Debate
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26
Language Modeling and Protein Generation at Salesforce with Richard Socher - #372
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27
AI Research at JPMorgan Chase with Manuela Veloso - #371
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28
Consciousness and COVID-19 with Yoshua Bengio - #361
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29
How AI Predicted the Coronavirus Outbreak with Kamran Khan - #350
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30
AI for Agriculture and Global Food Security with Nemo Semret - #347
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31
Using Deep Learning to Predict Wildfires with Feng Yan - #329
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32
Helping Fish Farmers Feed the World with Deep Learning w/ Bryton Shang - #327
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33
Building an Autonomous Knowledge Graph with Mike Tung - #319
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34
Time Series Clustering for Monitoring Fueling Infrastructure Performance with Kalai Ramea - #300
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35
Swarm AI for Event Outcome Prediction with Gregg Willcox - TWIML Talk #299
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36
DeepQB: Deep Learning to Quantify Quarterback Decision-Making with Brian Burke - TWIML Talk #297
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37
Re-Architecting Data Science at iRobot with Angela Bassa - TWIML Talk #294
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38
Automated ML for RNA Design with Danny Stoll - TWIML Talk #288
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39
Inspiring New Machine Learning Platforms w/ Bioelectric Computation with Michael Levin - TWiML...
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40
Creative Adversarial Networks for Art Generation with Ahmed Elgammal - TWiML Talk #265
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41
Edge AI for Smart Manufacturing with Trista Chen - TWiML Talk #253
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42
Empathy in AI with Rob Walker - TWiML Talk #248
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43
Scaling Machine Learning on Graphs at LinkedIn with Hema Raghavan and Scott Meyer - TWiML Talk #236
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44
An Optimized Recurrent Unit for Ultra-Low Power Acoustic Event Detection with Justice Amoh Jr. -...
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45
AI for Accessibility with Wendy Chisholm - TWiML Talk #227
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46
Teaching AI to Preschoolers with Randi Williams - TWiML Talk #225
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47
Holistic Optimization of the LinkedIn News Feed - TWiML Talk #224
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48
AI at the Edge at Qualcomm with Gary Brotman - TWiML Talk #223
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49
AI Innovation at CES - TWiML Talk #222
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50
Acoustic Word Embeddings for Low Resource Speech Processing with Herman Kamper - TWiML Talk #191
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51
Diversification in Recommender Systems with Ahsan Ashraf - TWiML Talk #187
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52
Applied Machine Learning for Publishers with Naveed Ahmad - TWiML Talk #182
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53
AI for Content Creation with Debajyoti Ray - TWiML Talk #178
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54
OpenAI Five with Christy Dennison - TWiML Talk #176
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55
Love Love: AI and ML in Tennis with Stephanie Kovalchik - #159
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56
Growth Hacking Sports with Machine Learning with Noah Gift - #158
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57
Fine-Grained Player Prediction in Sports with Jennifer Hobbs - #157
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58
Targeted Ticket Sales Using Azure ML with the Trail Blazers, w/ Mike Schumacher & Chenhui Hu - #156
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59
AI for Athlete Optimization with Sinead Flahive - #155
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60
Problem Formulation for Machine Learning with Romer Rosales - #149
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61
Agile Data Science with Sarah Aerni - #143
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62
Exploring AI-Generated Music with Taryn Southern - #139
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63
Differential Privacy at Bluecore with Zahi Karam - #133
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64
Hyper-Personalizing the Customer Experience with AI, w/ Rob Walker - #127
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65
Information Extraction from Natural Document Formats with David Rosenberg - #126
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66
Predicting Cardiovascular Risk Factors from Eye Images with Ryan Poplin - #122
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67
Discovering Exoplanets with Deep Learning, w/ Chris Shallue - #117
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68
Classical Machine Learning for Infant Medical Diagnosis with Charles Onu - #112
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69
Learning "Common Sense" and Physical Concepts with Roland Memisevic - #111
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70
Data Science for Poaching Prevention and Disease Treatment with Nyalleng Moorosi - #109
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71
Peering into the Home with Aerial.ai's Wifi Motion Analytics, w/ Michel A. & Negar G. - #107
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72
Physiology-Based Models for Fitness and Training with Firstbeat, w/ Ilkka Korhonen - #106
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73
Machine Learning for Signal Processing Applications with Stuart Feffer & Brady Tsai - #105
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74
Personalizing the Ferrari Challenge Experience with Andy Keller & Emile Chin-Dickey - #104
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75
Deep Learning for 3D Sensors and Cameras in Lighthouse with Alex Teichman - #103
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76
Separating Vocals in Recorded Music at Spotify with Eric Humphrey - #98
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77
Accelerating Deep Learning with Mixed Precision Arithmetic, w/ Greg Diamos - #97
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78
AI at the NASA Frontier Development Lab - #89
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79
Block-Sparse Kernels for Deep Neural Networks with Durk Kingma - #80
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80
AI for Customer Service and Marketing at Aeromexico with Brian Gross - #79
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81
Scaleable Distributed Deep Learning with Hillery Hunter - #77
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82
Pytorch: Fast Differentiable Dynamic Graphs in Python with Soumith Chintala - #70
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83
The Limitations of Human-in-the-Loop AI with Dennis Mortensen - #67
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84
Building Conversational Interfaces for Financial Services with Kenneth Conroy - #61
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85
Learning to Learn, and other Opportunities in Machine Learning with Graham Taylor - #62
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86
Fighting Fraud with Machine Learning at Shopify with Solmaz Shahalizadeh - #60
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87
ML Use Cases at Think Big Analytics with Mo Patel & Laura Frølich - #54
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88
Topological Data Analysis with Gunnar Carlsson - #53
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89
Evolutionary Algorithms in Machine Learning with Risto Miikkulainen - #47
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90
Jennifer Prendki Interview - Agile Machine Learning - TWiML Talk #46
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91
Machine Teaching for Better Machine Learning with Mark Hammond - #43
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92
Marrying Physics-Based and Data-Driven ML Models with Josh Bloom - #42
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93
Deep Learning for Warehouse Operations with Calvin Seward - #38
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94
Smart Buildings & IoT with Yodit Stanton - #36
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95
Expressive AI-Generated Music With Google's Performance RNN with Doug Eck - #32
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96
Enhancing Customer Experiences with Emotional AI, w/ Rana el Kaliouby - #35
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97
Intelligent Autonomous Robots with Ilia Baranov - #27
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98
Engineering the Future of AI with Ruchir Puri - #21
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99
From Particle Physics to Audio AI with Scott Stephenson - #19
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100
Creating a Worldwide Financial Knowledge Graph with AlphaVertex - #18
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101
Location-Based Intelligence for Smarter Marketing with Klustera - #18
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102
Interactive Machine Learning Systems with Alekh Agarwal - #17
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103
Machine Learning in Cybersecurity with Evan Wright - #16
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104
Domain Knowledge in Machine Learning Models for Sustainability with Stefano Ermon - #15
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105
Scaling Deep Learning: Systems Challenges & More with Shubho Sengupta - #14
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106
Understanding Deep Neural Networks with Dr. James McCaffery - #13
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107
Emotional AI: Teaching Computers Empathy with Pascale Fung - #9
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108
Deep Learning: Modular in Theory, Inflexible in Practice with Diogo Almeida - #8
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109
Explaining the Predictions of Machine Learning Models with Carlos Guestrin - #7
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110
Machine Learning for the Stars & Productizing AI with Joshua Bloom - #5
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111
How to Build Confidence as an ML Developer with Siraj Raval - #2
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112
Engineering Practical Machine Learning Systems with Xavier Amatriain - #3
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113
Why Agents Are Stupid & What We Can Do About It with Dan Jeffries - 713
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