The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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799 afleveringen, van nieuw naar oud
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Retinal Image Generation for Disease Discovery with Stephen Odaibo - TWIML Talk #284
22 juli 2019 · 41 min
Today we’re joined by Dr. Stephen Odaibo, Founder and CEO of RETINA-AI Health Inc. Stephen’s journey to machine learning and AI includes degrees in math, medicine and computer science, which led him to an ophthalmology practice before becoming an entrepreneur. In this episode we discuss his expertise in ophthalmology and engineering along with the current state of both industries that lead him to build autonomous systems that diagnose and treat retinal diseases. Lees meer
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Real world model explainability with Rayid Ghani - TWiML Talk #283
18 juli 2019 · 51 min
Today we’re joined by Rayid Ghani, Director of the Center for Data Science and Public Policy at the University of Chicago. Drawing on his range of experience, Rayid saw that while automated predictions can be helpful, they don’t always paint a full picture. The key is the relevant context when making tough decisions involving humans and their lives. We delve into the world of explainability methods, necessary human involvement, machine feedback loop and more. Lees meer
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Inspiring New Machine Learning Platforms w/ Bioelectric Computation with Michael Levin - TWiML Talk #282
15 juli 2019 · 26 min
Today we’re joined by Michael Levin, Director of the Allen Discovery Institute at Tufts University. In our conversation, we talk about synthetic living machines, novel AI architectures and brain-body plasticity. Michael explains how our DNA doesn’t control everything and how the behavior of cells in living organisms can be modified and adapted. Using research on biological systems dynamic remodeling, Michael discusses the future of developmental biology and regenerative medicine. Lees meer
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Simulation and Synthetic Data for Computer Vision with Batu Arisoy - TWiML Talk #281
9 juli 2019 · 41 min
Today we’re joined by Batu Arisoy, Research Manager with the Vision Technologies & Solutions team at Siemens Corporate Technology. Batu’s research focus is solving limited-data computer vision problems, providing R&D for business units throughout the company. In our conversation, Batu details his group's ongoing projects, like an activity recognition project with the ONR, and their many CVPR submissions, which include an emulation of a teacher teaching students information without the use of memorizatio Lees meer
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Spiking Neural Nets and ML as a Systems Challenge with Jeff Gehlhaar - TWIML Talk #280
8 juli 2019 · 53 min
Today we’re joined by Jeff Gehlhaar, VP of Technology and Head of AI Software Platforms at Qualcomm. Qualcomm has a hand in tons of machine learning research and hardware, and in our conversation with Jeff we discuss: Lees meer
• How the various training frameworks fit into the developer experience when working with their chipsets.
• Examples of federated learning in the wild.
• The role inference will play in data center devices and much more.
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Transforming Oil & Gas with AI with Adi Bhashyam and Daniel Jeavons - TWIML Talk #279
1 juli 2019 · 46 min
Today we’re joined by return guest Daniel Jeavons, GM of Data Science at Shell, and Adi Bhashyam, GM of Data Science at C3, who we had the pleasure of speaking to at this years C3 Transform Conference. In our conversation, we discuss: Lees meer
• The progress that Dan and his team has made since our last conversation, including an overview of their data platform.
• Adi gives us an overview of the evolution of C3 and their platform, along with a breakdown of a few Shell-specific use cases.
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Fast Radio Burst Pulse Detection with Gerry Zhang - TWIML Talk #278
27 juni 2019 · 39 min
Today we’re joined by Yunfan Gerry Zhang, a PhD student at UC Berkely, and an affiliate of Berkeley’s SETI research center. In our conversation, we discuss: Lees meer
• Gerry's research on applying machine learning techniques to astrophysics and astronomy.
• His paper “Fast Radio Burst 121102 Pulse Detection and Periodicity: A Machine Learning Approach”.
• We explore the types of data sources used for this project, challenges Gerry encountered along the way, the role of GANs and much more.
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Tracking CO2 Emissions with Machine Learning with Laurence Watson - TWIML Talk #277
24 juni 2019 · 42 min
Today we’re joined by Laurence Watson, Co-Founder and CTO of Plentiful Energy and a former data scientist at Carbon Tracker. In our conversation, we discuss: Lees meer
• Carbon Tracker's goals, and their report “Nowhere to hide: Using satellite imagery to estimate the utilisation of fossil fuel power plants”.
• How they are using computer vision to process satellite images of coal plants, including how the images are labeled.
•Various challenges with the scope and scale of this project.
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Topic Modeling for Customer Insights at USAA with William Fehlman - TWIML Talk #276
20 juni 2019 · 45 min
Today we’re joined by William Fehlman, director of data science at USAA, to discuss: Lees meer
• His work on topic modeling, which USAA uses in various scenarios, including member chat channels.
• How their datasets are generated.
• Explored methodologies of topic modeling, including latent semantic indexing, latent Dirichlet allocation, and non-negative matrix factorization.
• We also explore how terms are represented via a document-term matrix, and how they are scored based on coherence.
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Phronesis of AI in Radiology with Judy Gichoya - TWIML Talk #275
18 juni 2019 · 44 min
Today we’re joined by Judy Gichoya an interventional radiology fellow at the Dotter Institute at Oregon Health and Science University. In our conversation, we discuss: Lees meer
• Judy's research on the paper “Phronesis of AI in Radiology: Superhuman meets Natural Stupidy,” reviewing the claims of “superhuman” AI performance in radiology.
• Potential roles in which AI can have success in radiology, along with some of the different types of biases that can manifest themselves across multiple use c
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The Ethics of AI-Enabled Surveillance with Karen Levy - TWIML Talk #274
14 juni 2019 · 43 min
Today we’re joined by Karen Levy, assistant professor in the department of information science at Cornell University. Karen’s research focuses on how rules and technologies interact to regulate behavior, especially the legal, organizational, and social aspects of surveillance and monitoring. In our conversation, we discuss how data tracking and surveillance can be used in ways that can be abusive to various marginalized groups, including detailing her extensive research into truck driver surveillance. Lees meer
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Supporting Rapid Model Development at Two Sigma with Matt Adereth & Scott Clark - TWIML Talk #273
11 juni 2019 · 46 min
Today we’re joined by Matt Adereth, managing director of investments at Two Sigma, and return guest Scott Clark, co-founder and CEO of SigOpt, to discuss: Lees meer
• The end to end modeling platform at Two Sigma, who it serves, and challenges faced in production and modeling.
• How Two Sigma has attacked the experimentation challenge with their platform.
• What motivates companies that aren’t already heavily invested in platforms, optimization or automation, to do so, and much more!
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Scaling Model Training with Kubernetes at Stripe with Kelley Rivoire - TWIML Talk #272
6 juni 2019 · 42 min
Today we’re joined by Kelley Rivoire, engineering manager working on machine learning infrastructure at Stripe. Kelley and I caught up at a recent Strata Data conference to discuss: Lees meer
• Her talk "Scaling model training: From flexible training APIs to resource management with Kubernetes."
• Stripe’s machine learning infrastructure journey, including their start from a production focus.
• Internal tools used at Stripe, including Railyard, an API built to manage model training at scale & more!
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Productizing ML at Scale at Twitter with Yi Zhuang - TWIML Talk #271
3 juni 2019 · 46 min
Today we continue our AI Platforms series joined by Yi Zhuang, Senior Staff Engineer at Twitter. In our conversation, we cover: Lees meer
• The machine learning landscape at Twitter, including with the history of the Cortex team
• Deepbird v2, which is used for model training and evaluation solutions, and it's integration with Tensorflow 2.0.
• The newly assembled “Meta” team, that is tasked with exploring the bias, fairness, and accountability of their machine learning models, and much more!
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Snorkel: A System for Fast Training Data Creation with Alex Ratner - TWiML Talk #270
30 mei 2019 · 44 min
Today we’re joined by Alex Ratner, Ph.D. student at Stanford, to discuss: Lees meer
• Snorkel, the open source framework that is the successor to Stanford's Deep Dive project.
• How Snorkel is used as a framework for creating training data with weak supervised learning techniques.
• Multiple use cases for Snorkel, including how it is used by companies like Google.
The complete show notes can be found at twimlai.com/talk/270.
Follow along with AI Platforms Vol. 2 at twimlai.com/aiplatforms2.
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Advancing Autonomous Vehicle Development Using Distributed Deep Learning with Adrien Gaidon - TWiML Talk #269
28 mei 2019 · 48 min
In this, the kickoff episode of AI Platforms Vol. 2, we're joined by Adrien Gaidon, Machine Learning Lead at Toyota Research Institute. Adrien and I caught up to discuss his team’s work on deploying distributed deep learning in the cloud, at scale. In our conversation, we discuss: Lees meer
• The beginning and gradual scaling up of TRI's platform.
• Their distributed deep learning methods, including their use of stock Pytorch, and much more!
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Are We Being Honest About How Difficult AI Really Is? w/ David Ferrucci - TWiML Talk #268
24 mei 2019 · 50 min
Today we’re joined by David Ferrucci, Founder, CEO, and Chief Scientist at Elemental Cognition, a company focused on building natural learning systems that understand the world the way people do, to discuss: • The role of “understanding” in the context of AI systems, and the types of commitments and investments needed to achieve even modest levels of understanding. • His thoughts on the power of deep learning, what the path to AGI looks like, and the need for hybrid systems to get there. Lees meer
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Gauge Equivariant CNNs, Generative Models, and the Future of AI with Max Welling - TWiML Talk #267
20 mei 2019 · 1 uur 3 min
Today we’re joined by Max Welling, research chair in machine learning at the University of Amsterdam, and VP of Technologies at Qualcomm, to discuss: Lees meer
• Max’s research at Qualcomm AI Research and the University of Amsterdam, including his work on Bayesian deep learning, Graph CNNs and Gauge Equivariant CNNs, power efficiency for AI via compression, quantization, and compilation.
• Max’s thoughts on the future of the AI industry, in particular, the relative importance of models, data and com
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Can We Trust Scientific Discoveries Made Using Machine Learning? with Genevera Allen - TWiML Talk #266
16 mei 2019 · 43 min
Today we’re joined by Genevera Allen, associate professor of statistics in the EECS Department at Rice University. Lees meer
Genevera caused quite the stir at the American Association for the Advancement of Science meeting earlier this year with her presentation “Can We Trust Data-Driven Discoveries?" In our conversation, we discuss the goal of Genevera's talk, the issues surrounding reproducibility in Machine Learning, and much more!
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Creative Adversarial Networks for Art Generation with Ahmed Elgammal - TWiML Talk #265
13 mei 2019 · 38 min
Today we’re joined by Ahmed Elgammal, a professor in the department of computer science at Rutgers, and director of The Art and Artificial Intelligence Lab. We discuss his work on AICAN, a creative adversarial network that produces original portraits, trained with over 500 years of European canonical art. Lees meer
The complete show notes for this episode can be found at twimlai.com/talk/265.
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Diagnostic Visualization for Machine Learning with YellowBrick w/ Rebecca Bilbro - TWiML Talk #264
10 mei 2019 · 42 min
Today we close out our PyDataSci series joined by Rebecca Bilbro, head of data science at ICX media and co-creator of the popular open-source visualization library YellowBrick. Lees meer
In our conversation, Rebecca details:
• Her relationship with toolmaking, which led to the eventual creation of YellowBrick.
• Popular tools within YellowBrick, including a summary of their unit testing approach.
• Interesting use cases that she’s seen over time.
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Librosa: Audio and Music Processing in Python with Brian McFee - TWiML Talk #263
9 mei 2019 · 38 min
Today we continue our PyDataSci series joined by Brian McFee, assistant professor of music technology and data science at NYU, and creator of LibROSA, a python package for music and audio analysis. Lees meer
Brian walks us through his experience building LibROSA, including:
• Detailing the core functions provided in the library
• His experience working in Jupyter Notebook
• We explore a typical LibROSA workflow & more!
The complete show notes for this episode can be found at twimlai.com/talk/26
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Practical Natural Language Processing with spaCy and Prodigy w/ Ines Montani - TWiML Talk #262
7 mei 2019 · 49 min
In this episode of PyDataSci, we’re joined by Ines Montani, Cofounder of Explosion, Co-developer of SpaCy and lead developer of Prodigy. Lees meer
Ines and I caught up to discuss her various projects, including the aforementioned SpaCy, an open-source NLP library built with a focus on industry and production use cases.
The complete show notes for this episode can be found at twimlai.com/talk/262. Check out the rest of the PyDataSci series at twimlai.com/pydatasci.
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Scaling Jupyter Notebooks with Luciano Resende - TWiML Talk #261
6 mei 2019 · 34 min
Today we're joined by Luciano Resende, an Open Source AI Platform Architect at IBM, to discuss his work on Jupyter Enterprise Gateway. Lees meer
In our conversation, we address challenges that arise while using Jupyter Notebooks at scale and the role of open source projects like Jupyter Hub and Enterprise Gateway. We also explore some common requests like tighter integration with git repositories, as well as the python-centricity of the vast Jupyter ecosystem.
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Fighting Fake News and Deep Fakes with Machine Learning w/ Delip Rao - TWiML Talk #260
3 mei 2019 · 59 min
Today we’re joined by Delip Rao, vice president of research at the AI Foundation, co-author of the book Natural Language Processing with PyTorch, and creator of the Fake News Challenge. Lees meer
In our conversation, we discuss the generation and detection of artificial content, including “fake news” and “deep fakes,” the state of generation and detection for text, video, and audio, the key challenges in each of these modalities, the role of GANs on both sides of the equation, and other potential solutio
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Maintaining Human Control of Artificial Intelligence with Joanna Bryson - TWiML Talk #259
1 mei 2019 · 38 min
Today we’re joined by Joanna Bryson, Reader at the University of Bath. Lees meer
I was fortunate to catch up with Joanna at the conference, where she presented on “Maintaining Human Control of Artificial Intelligence." In our conversation, we explore our current understanding of “natural intelligence” and how it can inform the development of AI, the context in which she uses the term “human control” and its implications, and the meaning of and need to apply “DevOps” principles when developing AI sy
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Intelligent Infrastructure Management with Pankaj Goyal & Rochna Dhand - TWiML Talk #258
29 april 2019 · 45 min
Today we're joined by Pankaj Goyal and Rochna Dhand, to discuss HPE InfoSight. Lees meer
In our conversation, Pankaj gives a look into how HPE as a company views AI, from their customers to the future of AI at HPE through investment. Rocha details the role of HPE’s Infosight in deploying AI operations at an enterprise level, including a look at where it fits into the infrastructure for their current customer base, along with a walkthrough of how InfoSight is deployed in a real-world use case.
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Organizing for Successful Data Science at Stitch Fix with Eric Colson - TWiML Talk #257
26 april 2019 · 52 min
Today we’re joined by Eric Colson, Chief Algorithms Officer at Stitch Fix, whose presentation at the Strata Data conference explored “How to make fewer bad decisions.” Lees meer
Our discussion focuses in on the three key organizational principles for data science teams that he’s developed while at Stitch Fix. Along the way, we also talk through various roles data science plays, exploring a few of the 800+ algorithms in use at the company spanning recommendations, inventory management, demand forecasting, a
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End-to-End Data Science to Drive Business Decisions at LinkedIn with Burcu Baran - TWiML Talk #256
24 april 2019 · 49 min
In this episode of our Strata Data conference series, we’re joined by Burcu Baran, Senior Data Scientist at LinkedIn. Lees meer
At Strata, Burcu, along with a few members of her team, delivered the presentation “Using the full spectrum of data science to drive business decisions,” which outlines how LinkedIn manages their entire machine learning production process. In our conversation, Burcu details each phase of the process, including problem formulation, monitoring features, A/B testing and more.
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Learning with Limited Labeled Data with Shioulin Sam - TWiML Talk #255
23 april 2019 · 44 min
Today we’re joined by Shioulin Sam, Research Engineer with Cloudera Fast Forward Labs. Lees meer
Shioulin and I caught up to discuss the newest report to come out of CFFL, “Learning with Limited Label Data,” which explores active learning as a means to build applications requiring only a relatively small set of labeled data. We start our conversation with a review of active learning and some of the reasons why it’s recently become an interesting technology for folks building systems based on deep learning
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cuDF, cuML & RAPIDS: GPU Accelerated Data Science with Paul Mahler - TWiML Talk #254
19 april 2019 · 38 min
Today we're joined by Paul Mahler, senior data scientist and technical product manager for ML at NVIDIA. Lees meer
In our conversation, Paul and I discuss NVIDIA's RAPIDS open source project, which aims to bring GPU acceleration to traditional data science workflows and ML tasks. We dig into the various subprojects like cuDF and cuML that make up the RAPIDS ecosystem, as well as the role of lower-level libraries like mlprims and the relationship to other open-source projects like Scikit-learn, XGBoost and Dask.
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Edge AI for Smart Manufacturing with Trista Chen - TWiML Talk #253
18 april 2019 · 39 min
Today we’re joined by Trista Chen, chief scientist of machine learning at Inventec, who spoke on “Edge AI in Smart Manufacturing: Defect Detection and Beyond” at GTC. In our conversation, we discuss the challenges that Industry 4.0 initiatives aim to address and dig into a few of the various use cases she’s worked on, such as the deployment of ML in an industrial setting to perform various tasks. We also discuss the challenges associated with estimating the ROI of industrial AI projects. Lees meer
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Machine Learning for Security and Security for Machine Learning with Nicole Nichols - TWiML Talk #252
16 april 2019 · 42 min
Today we’re joined by Nicole Nichols, a senior research scientist at the Pacific Northwest National Lab. We discuss her recent presentation at GTC, which was titled “Machine Learning for Security, and Security for Machine Learning.” We explore two use cases, insider threat detection, and software fuzz testing, discussing the effectiveness of standard and bidirectional RNN language models for detecting malicious activity, the augmentation of software fuzzing techniques using deep learning, and much mor Lees meer
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Domain Adaptation and Generative Models for Single Cell Genomics with Gerald Quon - TWiML Talk #251
15 april 2019 · 32 min
Today we’re joined by Gerald Quon, assistant professor at UC Davis. Lees meer
Gerald presented his work on Deep Domain Adaptation and Generative Models for Single Cell Genomics at GTC this year, which explores single cell genomics as a means of disease identification for treatment. In our conversation, we discuss how he uses deep learning to generate novel insights across diseases, the different types of data that was used, and the development of ‘nested’ Generative Models for single cell measurement.
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Mapping Dark Matter with Bayesian Neural Networks w/ Yashar Hezaveh - TWiML Talk #250
11 april 2019 · 34 min
Today we’re joined by Yashar Hezaveh, Assistant Professor at the University of Montreal. Yashar and I caught up to discuss his work on gravitational lensing, which is the bending of light from distant sources due to the effects of gravity. In our conversation, Yashar and I discuss how ML can be applied to undistort images, the intertwined roles of simulation and ML in generating images, incorporating other techniques such as domain transfer or GANs, and how he assesses the results of this project. Lees meer
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Deep Learning for Population Genetic Inference with Dan Schrider - TWiML Talk #249
9 april 2019 · 49 min
Today we’re joined by Dan Schrider, assistant professor in the department of genetics at UNC Chapel Hill. Lees meer
My discussion with Dan starts with an overview of population genomics, looking into his application of ML in the field. We then dig into Dan’s paper “The Unreasonable Effectiveness of Convolutional Neural Networks in Population Genetic Inference,” which examines the idea that CNNs are capable of outperforming expert-derived statistical methods for some key problems in the field.
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Empathy in AI with Rob Walker - TWiML Talk #248
5 april 2019 · 41 min
Today we’re joined by Rob Walker, Vice President of Decision Management at Pegasystems. Lees meer
Rob joined us back in episode 127 to discuss “Hyperpersonalizing the customer experience.” Today, he’s back for a discussion about the role of empathy in AI systems. In our conversation, we dig into the role empathy plays in consumer-facing human-AI interactions, the differences between empathy and ethics, and a few examples of ways empathy should be considered when enterprise AI systems.
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Benchmarking Custom Computer Vision Services at Urban Outfitters with Tom Szumowski - TWiML Talk #247
3 april 2019 · 50 min
Today we’re joined by Tom Szumowski, Data Scientist at URBN, parent company of Urban Outfitters and other consumer fashion brands. Tom and I caught up to discuss his project “Exploring Custom Vision Services for Automated Fashion Product Attribution.” We look at the process Tom and his team took to build custom attribution models, and the results of their evaluation of various custom vision APIs for this purpose, with a focus on the various roadblocks and lessons he and his team encountered along the Lees meer
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Pragmatic Quantum Machine Learning with Peter Wittek - TWiML Talk #245
1 april 2019 · 1 uur 5 min
Today we’re joined by Peter Wittek, Assistant Professor at the University of Toronto working on quantum-enhanced machine learning and the application of high-performance learning algorithms. Lees meer
In our conversation, we discuss the current state of quantum computing, a look ahead to what the next 20 years of quantum computing might hold, and how current quantum computers are flawed. We then dive into our discussion on quantum machine learning, and Peter’s new course on the topic, which debuted in Februar
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*Bonus Episode* A Quantum Machine Learning Algorithm Takedown with Ewin Tang - TWiML Talk #246
1 april 2019 · 40 min
In this special bonus episode of the podcast, I’m joined by Ewin Tang, a PhD student in the Theoretical Computer Science group at the University of Washington. Lees meer
In our conversation, Ewin and I dig into her paper “A quantum-inspired classical algorithm for recommendation systems,” which took the quantum computing community by storm last summer. We haven’t called out a Nerd-Alert interview in a long time, but this interview inspired us to dust off that designation, so get your notepad ready!
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Supporting TensorFlow at Airbnb with Alfredo Luque - TWiML Talk #244
28 maart 2019 · 40 min
Today we're joined by Alfredo Luque, a software engineer on the machine infrastructure team at Airbnb. Lees meer
If you’re interested in AI Platforms and ML infrastructure, you probably remember my interview with Airbnb’s Atul Kale, in which we discussed their Bighead platform. In my conversation with Alfredo, we dig a bit deeper into Bighead’s support for TensorFlow, discuss a recent image categorization challenge they solved with the framework, and explore what the new 2.0 release means for their users.
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Mining the Vatican Secret Archives with TensorFlow w/ Elena Nieddu - TWiML Talk #243
27 maart 2019 · 43 min
Today we’re joined by Elena Nieddu, Phd Student at Roma Tre University, who presented on her project “In Codice Ratio” at the TF Dev Summit. Lees meer
In our conversation, Elena provides an overview of the project, which aims to annotate and transcribe Vatican secret archive documents via machine learning. We discuss the many challenges associated with transcribing this vast archive of handwritten documents, including overcoming the high cost of data annotation.
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Exploring TensorFlow 2.0 with Paige Bailey - TWiML Talk #242
25 maart 2019 · 40 min
Today we're joined by Paige Bailey, TensorFlow developer advocate at Google, to discuss the TensorFlow 2.0 alpha release. Paige and I talk through the latest TensorFlow updates, including the evolution of the TensorFlow APIs and the role of eager mode, tf.keras and tf.function, the evolution of TensorFlow for Swift and its inclusion in the new fast.ai course, new updates to TFX (or TensorFlow Extended), Google’s end-to-end ML platform, the emphasis on community collaboration with TF 2.0, and more. Lees meer
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Privacy-Preserving Decentralized Data Science with Andrew Trask - TWiML Talk #241
21 maart 2019 · 34 min
Today we’re joined by Andrew Trask, PhD student at the University of Oxford and Leader of the OpenMined Project, an open-source community focused on researching, developing, and promoting tools for secure, privacy-preserving, value-aligned artificial intelligence. We dig into why OpenMined is important, exploring some of the basic research and technologies supporting Private, Decentralized Data Science, including ideas such as Differential Privacy,and Secure Multi-Party Computation. Lees meer
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The Unreasonable Effectiveness of the Forget Gate with Jos Van Der Westhuizen - TWiML Talk #240
18 maart 2019 · 32 min
Today we’re joined by Jos Van Der Westhuizen, PhD student in Engineering at Cambridge University. Lees meer
Jos’ research focuses on applying LSTMs, or Long Short-Term Memory neural networks, to biological data for various tasks. In our conversation, we discuss his paper "The unreasonable effectiveness of the forget gate," in which he explores the various “gates” that make up an LSTM module and the general impact of getting rid of gates on the computational intensity of training the networks.
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Building a Recommendation Agent for The North Face with Andrew Guldman - TWiML Talk #239
14 maart 2019 · 48 min
Today we’re joined by Andrew Guldman, VP of Product Engineering and R&D at Fluid to discuss Fluid XPS, a user experience built to help the casual shopper decide on the best product choices during online retail interactions. We specifically discuss its origins as a product to assist outerwear retailer The North Face. In our conversation, we discuss their use of heat-sink algorithms and graph databases, challenges associated with staying on top of a constantly changing landscape, and more! Lees meer
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Active Learning for Materials Design with Kevin Tran - TWiML Talk #238
11 maart 2019 · 34 min
Today we’re joined by Kevin Tran, PhD student at Carnegie Mellon University. In our conversation, we explore the challenges surrounding the creation of renewable energy fuel cells, which is discussed in his recent Nature paper “Active learning across intermetallics to guide discovery of electrocatalysts for CO2 reduction and H2 evolution.” Lees meer
The AI Conference is returning to New York in April and we have one FREE conference pass for a lucky listener! Visit twimlai.com/ainygiveaway to enter!
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Deep Learning in Optics with Aydogan Ozcan - TWiML Talk #237
7 maart 2019 · 42 min
Today we’re joined by Aydogan Ozcan, Professor of Electrical and Computer Engineering at UCLA, exploring his group's research into the intersection of deep learning and optics, holography and computational imaging. We specifically look at a really interesting project to create all-optical neural networks which work based on diffraction, where the printed pixels of the network are analogous to neurons. We also explore practical applications for their research and other areas of interest. Lees meer
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Scaling Machine Learning on Graphs at LinkedIn with Hema Raghavan and Scott Meyer - TWiML Talk #236
4 maart 2019 · 46 min
Today we’re joined by Hema Raghavan and Scott Meyer of LinkedIn to discuss the graph database and machine learning systems that power LinkedIn features such as “People You May Know” and second-degree connections. Hema shares her insight into the motivations for LinkedIn’s use of graph-based models and some of the challenges surrounding using graphical models at LinkedIn’s scale, while Scott details his work on the software used at the company to support its biggest graph databases. Lees meer
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Safer Exploration in Deep Reinforcement Learning using Action Priors with Sicelukwanda Zwane - TWiML Talk #235
1 maart 2019 · 54 min
Today we conclude our Black in AI series with Sicelukwanda Zwane, a masters student at the University of Witwatersrand and graduate research assistant at the CSIR, who presented on “Safer Exploration in Deep Reinforcement Learning using Action Priors” at the workshop. In our conversation, we discuss what “safer exploration” means in this sense, the difference between this work and other techniques like imitation learning, and how this fits in with the goal of “lifelong learning.” Lees meer