En iyi Twiml Ai Podcast podcastleri (2023)

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Towards Improved Transfer Learning with Hugo Larochelle - #631 38:52

2d ago38:52

38:52

Today we’re joined by Hugo Larochelle, a research scientist at Google Deepmind. In our conversation with Hugo, we discuss his work on transfer learning, understanding the capabilities of deep learning models, and creating the Transactions on Machine Learning Research journal. We explore the use of large language models in NLP, prompting, and zero-s…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Language Modeling With State Space Models with Dan Fu - #630 28:15

9d ago28:15

28:15

Today we’re joined by Dan Fu, a PhD student at Stanford University. In our conversation with Dan, we discuss the limitations of state space models in language modeling and the search for alternative building blocks that can help increase context length without being computationally infeasible. Dan walks us through the H3 architecture and Flash Atte…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Building Maps and Spatial Awareness in Blind AI Agents with Dhruv Batra - #629 43:24

16d ago43:24

43:24

Today we continue our coverage of ICLR 2023 joined by Dhruv Batra, an associate professor at Georgia Tech and research director of the Fundamental AI Research (FAIR) team at META. In our conversation, we discuss Dhruv’s work on the paper Emergence of Maps in the Memories of Blind Navigation Agents, which won an Outstanding Paper Award at the event.…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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AI Agents and Data Integration with GPT and LLaMa with Jerry Liu - #628 41:26

23d ago41:26

41:26

Today we’re joined by Jerry Liu, co-founder and CEO of Llama Index. In our conversation with Jerry, we explore the creation of Llama Index, a centralized interface to connect your external data with the latest large language models. We discuss the challenges of adding private data to language models and how Llama Index connects the two for better d…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Hyperparameter Optimization through Neural Network Partitioning with Christos Louizos - #627 33:11

30d ago33:11

33:11

Today we kick off our coverage of the 2023 ICLR conference joined by Christos Louizos, an ML researcher at Qualcomm Technologies. In our conversation with Christos, we explore his paper Hyperparameter Optimization through Neural Network Partitioning and a few of his colleague's works from the conference. We discuss methods for speeding up attention…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Are LLMs Overhyped or Underappreciated? with Marti Hearst - #626 37:56

1M ago37:56

37:56

Today we’re joined by Marti Hearst, Professor at UC Berkeley. In our conversation with Marti, we explore the intricacies of AI language models and their usefulness in improving efficiency but also their potential for spreading misinformation. Marti expresses skepticism about whether these models truly have cognition compared to the nuance of the hu…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Are Large Language Models a Path to AGI? with Ben Goertzel - #625 59:35

1M ago59:35

59:35

Today we’re joined by Ben Goertzel, CEO of SingularityNET. In our conversation with Ben, we explore all things AGI, including the potential scenarios that could arise with the advent of AGI and his preference for a decentralized rollout comparable to the internet or Linux. Ben shares his research in bridging neural nets, symbolic logic engines, and…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Open Source Generative AI at Hugging Face with Jeff Boudier - #624 33:51

2M ago33:51

33:51

Today we’re joined by Jeff Boudier, head of product at Hugging Face 🤗. In our conversation with Jeff, we explore the current landscape of open-source machine learning tools and models, the recent shift towards consumer-focused releases, and the importance of making ML tools accessible. We also discuss the growth of the Hugging Face Hub, which curre…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Generative AI at the Edge with Vinesh Sukumar - #623 39:06

2M ago39:06

39:06

Today we’re joined by Vinesh Sukumar, a senior director and head of AI/ML product management at Qualcomm Technologies. In our conversation with Vinesh, we explore how mobile and automotive devices have different requirements for AI models and how their AI stack helps developers create complex models on both platforms. We also discuss the growing in…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Runway Gen-2: Generative AI for Video Creation with Anastasis Germanidis - #622 48:51

2M ago48:51

48:51

Today we’re joined by Anastasis Germanidis, Co-Founder and CTO of RunwayML. Amongst all the product and model releases over the past few months, Runway threw its hat into the ring with Gen-1, a model that can take still images or video and transform them into completely stylized videos. They followed that up just a few weeks later with the release …

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Watermarking Large Language Models to Fight Plagiarism with Tom Goldstein - 621 51:27

2M ago51:27

51:27

Today we’re joined by Tom Goldstein, an associate professor at the University of Maryland. Tom’s research sits at the intersection of ML and optimization and has previously been featured in the New Yorker for his work on invisibility cloaks, clothing that can evade object detection. In our conversation, we focus on his more recent research on water…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Does ChatGPT “Think”? A Cognitive Neuroscience Perspective with Anna Ivanova - #620 45:05

3M ago45:05

45:05

Today we’re joined by Anna Ivanova, a postdoctoral researcher at MIT Quest for Intelligence. In our conversation with Anna, we discuss her recent paper Dissociating language and thought in large language models: a cognitive perspective. In the paper, Anna reviews the capabilities of LLMs by considering their performance on two different aspects of …

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Robotic Dexterity and Collaboration with Monroe Kennedy III - #619 52:49

3M ago52:49

52:49

Today we’re joined by Monroe Kennedy III, an assistant professor at Stanford, director of the Assistive Robotics and Manipulation Lab, and a national director of Black in Robotics. In our conversation with Monroe, we spend some time exploring the robotics landscape, getting Monroe’s thoughts on the current challenges in the field, as well as his op…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Privacy and Security for Stable Diffusion and LLMs with Nicholas Carlini - #618 43:11

3M ago43:11

43:11

Today we’re joined by Nicholas Carlini, a research scientist at Google Brain. Nicholas works at the intersection of machine learning and computer security, and his recent paper “Extracting Training Data from LLMs” has generated quite a buzz within the ML community. In our conversation, we discuss the current state of adversarial machine learning re…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Understanding AI’s Impact on Social Disparities with Vinodkumar Prabhakaran - #617 31:14

3M ago31:14

31:14

Today we’re joined by Vinodkumar Prabhakaran, a Senior Research Scientist at Google Research. In our conversation with Vinod, we discuss his two main areas of research, using ML, specifically NLP, to explore these social disparities, and how these same social disparities are captured and propagated within machine learning tools. We explore a few sp…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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AI Trends 2023: Causality and the Impact on Large Language Models with Robert Osazuwa Ness - #616 1:22:00

4M ago1:22:00

1:22:00

Today we’re joined by Robert Osazuwa Ness, a senior researcher at Microsoft Research, to break down the latest trends in the world of causal modeling. In our conversation with Robert, we explore advances in areas like causal discovery, causal representation learning, and causal judgements. We also discuss the impact causality could have on large la…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Data-Centric Zero-Shot Learning for Precision Agriculture with Dimitris Zermas - #615 32:33

4M ago32:33

32:33

Today we’re joined by Dimitris Zermas, a principal scientist at agriscience company Sentera. Dimitris’ work at Sentera is focused on developing tools for precision agriculture using machine learning, including hardware like cameras and sensors, as well as ML models for analyzing the vast amount of data they acquire. We explore some specific use cas…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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How LLMs and Generative AI are Revolutionizing AI for Science with Anima Anandkumar - #614 1:01:44

4M ago1:01:44

1:01:44

Today we’re joined by Anima Anandkumar, Bren Professor of Computing And Mathematical Sciences at Caltech and Sr Director of AI Research at NVIDIA. In our conversation, we take a broad look at the emerging field of AI for Science, focusing on both practical applications and longer-term research areas. We discuss the latest developments in the area o…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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AI Trends 2023: Natural Language Proc - ChatGPT, GPT-4 and Cutting Edge Research with Sameer Singh - #613 1:45:45

4M ago1:45:45

1:45:45

Today we continue our AI Trends 2023 series joined by Sameer Singh, an associate professor in the department of computer science at UC Irvine and fellow at the Allen Institute for Artificial Intelligence (AI2). In our conversation with Sameer, we focus on the latest and greatest advancements and developments in the field of NLP, starting out with o…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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AI Trends 2023: Reinforcement Learning - RLHF, Robotic Pre-Training, and Offline RL with Sergey Levine - #612 59:40

4M ago59:40

59:40

Today we’re taking a deep dive into the latest and greatest in the world of Reinforcement Learning with our friend Sergey Levine, an associate professor, at UC Berkeley. In our conversation with Sergey, we explore some game-changing developments in the field including the release of ChatGPT and the onset of RLHF. We also explore more broadly the in…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Supporting Food Security in Africa Using ML with Catherine Nakalembe - #611 1:06:09

5M ago1:06:09

1:06:09

Today we conclude our coverage of the 2022 NeurIPS series joined by Catherine Nakalembe, an associate research professor at the University of Maryland, and Africa Program Director under NASA Harvest. In our conversation with Catherine, we take a deep dive into her talk from the ML in the Physical Sciences workshop, Supporting Food Security in Afric…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Service Cards and ML Governance with Michael Kearns - #610 39:08

5M ago39:08

39:08

Today we conclude our AWS re:Invent 2022 series joined by Michael Kearns, a professor in the department of computer and information science at UPenn, as well as an Amazon Scholar. In our conversation, we briefly explore Michael’s broader research interests in responsible AI and ML governance and his role at Amazon. We then discuss the announcement …

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Reinforcement Learning for Personalization at Spotify with Tony Jebara - #609 41:27

5M ago41:27

41:27

Today we continue our NeurIPS 2022 series joined by Tony Jebara, VP of engineering and head of machine learning at Spotify. In our conversation with Tony, we discuss his role at Spotify and how the company’s use of machine learning has evolved over the last few years, and the business value of machine learning, specifically recommendations, hold at…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Will ChatGPT take my job? - #608 37:28

5M ago37:28

37:28

More than any system before it, ChatGPT has tapped into our enduring fascination with artificial intelligence, raising in a more concrete and present way important questions and fears about what AI is capable of and how it will impact us as humans. One of the concerns most frequently voiced, whether sincerely or cloaked in jest, is how ChatGPT or s…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Geospatial Machine Learning at AWS with Kumar Chellapilla - #607 36:46

5M ago36:46

36:46

Today we continue our re:Invent 2022 series joined by Kumar Chellapilla, a general manager of ML and AI Services at AWS. We had the opportunity to speak with Kumar after announcing their recent addition of geospatial data to the SageMaker Platform. In our conversation, we explore Kumar’s role as the GM for a diverse array of SageMaker services, wha…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Real-Time ML Workflows at Capital One with Disha Singla - #606 43:36

5M ago43:36

43:36

Today we’re joined by Disha Singla, a senior director of machine learning engineering at Capital One. In our conversation with Disha, we explore her role as the leader of the Data Insights team at Capital One, where they’ve been tasked with creating reusable libraries, components, and workflows to make ML usable broadly across the company, as well …

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Weakly Supervised Causal Representation Learning with Johann Brehmer - #605 46:44

6M ago46:44

46:44

Today we’re excited to kick off our coverage of the 2022 NeurIPS conference with Johann Brehmer, a research scientist at Qualcomm AI Research in Amsterdam. We begin our conversation discussing some of the broader problems that causality will help us solve, before turning our focus to Johann’s paper Weakly supervised causal representation learning, …

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Stable Diffusion & Generative AI with Emad Mostaque - #604 42:51

6M ago42:51

42:51

Today we’re excited to kick off our 2022 AWS re:Invent series with a conversation with Emad Mostaque, Founder and CEO of Stability.ai. Stability.ai is a very popular name in the generative AI space at the moment, having taken the internet by storm with the release of its stable diffusion model just a few months ago. In our conversation with Emad, w…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Exploring Large Language Models with ChatGPT - #603 36:30

6M ago36:30

36:30

Today we're joined by ChatGPT, the latest and coolest large language model developed by OpenAl. In our conversation with ChatGPT, we discuss the background and capabilities of large language models, the potential applications of these models, and some of the technical challenges and open questions in the field. We also explore the role of supervise…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Accelerating Intelligence with AI-Generating Algorithms with Jeff Clune - #602 56:41

6M ago56:41

56:41

Are AI-generating algorithms the path to artificial general intelligence(AGI)? Today we’re joined by Jeff Clune, an associate professor of computer science at the University of British Columbia, and faculty member at the Vector Institute. In our conversation with Jeff, we discuss the broad ambitious goal of the AI field, artificial general intellig…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Programmatic Labeling and Data Scaling for Autonomous Commercial Aviation with Cedric Cocaud - #601 54:40

6M ago54:40

54:40

Today we’re joined by Cedric Cocaud, the chief engineer of the Wayfinder Group at Acubed, the innovation center for aircraft manufacturer Airbus. In our conversation with Cedric, we explore some of the technical challenges of innovation in the aircraft space, including autonomy. Cedric’s work on Project Vahana, Acubed’s foray into air taxis, attemp…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Engineering Production NLP Systems at T-Mobile with Heather Nolis - #600 43:53

6M ago43:53

43:53

Today we’re joined by Heather Nolis, a principal machine learning engineer at T-Mobile. In our conversation with Heather, we explored her machine learning journey at T-Mobile, including their initial proof of concept project, which held the goal of putting their first real-time deep learning model into production. We discuss the use case, which aim…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Sim2Real and Optimus, the Humanoid Robot with Ken Goldberg - #599 47:11

7M ago47:11

47:11

Today we’re joined by return guest Ken Goldberg, a professor at UC Berkeley and the chief scientist at Ambi Robotics. It’s been a few years since our initial conversation with Ken, so we spent a bit of time talking through the progress that has been made in robotics in the time that has passed. We discuss Ken’s recent work, including the paper Auto…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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The Evolution of the NLP Landscape with Oren Etzioni - #598 53:15

7M ago53:15

53:15

Today friend of the show and esteemed guest host John Bohannon is back with another great interview, this time around joined by Oren Etzioni, former CEO of the Allen Institute for AI, where he is currently an advisor. In our conversation with Oren, we discuss his philosophy as a researcher and how that has manifested in his pivot to institution bui…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Live from TWIMLcon! The Great MLOps Debate: End-to-End ML Platforms vs Specialized Tools - #597 47:59

7M ago47:59

47:59

Over the last few years, it’s been established that your ML team needs at least some basic tooling in order to be effective, providing support for various aspects of the machine learning workflow, from data acquisition and management, to model development and optimization, to model deployment and monitoring. But how do you get there? Many tools ava…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Live from TWIMLcon! You're not Facebook. Architecting MLOps for B2B Use Cases with Jacopo Tagliabue - #596 49:42

7M ago49:42

49:42

Much of the way we talk and think about MLOps comes from the perspective of large consumer internet companies like Facebook or Google. If you work at a FAANG company, these approaches might work well for you. But what about if you work at one of the many small, B2B companies that stand to benefit through the use of machine learning? How should you …

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Building Foundational ML Platforms with Kubernetes and Kubeflow with Ali Rodell - #595 43:24

8M ago43:24

43:24

Today we’re joined by Ali Rodell, a senior director of machine learning engineering at Capital One. In our conversation with Ali, we explore his role as the head of model development platforms at Capital One, including how his 25+ years in software development have shaped his view on building platforms and the evolution of the platforms space over …

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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AI-Powered Peer Programming with Vasi Philomin - #594 35:53

8M ago35:53

35:53

Today we’re joined by Vasi Philomin, vice president of AI services at AWS, joins us for our first in-person interview since 2019! In our conversation with Vasi, we discussed the recently released Amazon Code Whisperer, a developer-focused coding companion. We begin by exploring Vasi’s role and the various products under the banner of cognitive and …

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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The Top 10 Reasons to Register for TWIMLcon: AI Platforms 2022! 4:03

8M ago4:03

4:03

TWIMLcon: AI Platforms 2022 is just a day away! If you're interested in all things MLOps and Platforms/Infrastructure technology, this is the event for you! Register now at https://twimlcon.com/attend for FREE!Sam Charrington tarafından oluşturuldu

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Applied AI/ML Research at PayPal with Vidyut Naware - #593 31:49

8M ago31:49

31:49

Today we’re joined by Vidyut Naware, the director of machine learning and artificial intelligence at Paypal. As the leader of the ML/AI organization at Paypal, Vidyut is responsible for all things applied, from R&D to MLOps infrastructure. In our conversation, we explore the work being done in four major categories, hardware/compute, data, applied …

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Assessing Data Quality at Shopify with Wendy Foster - #592 36:29

8M ago36:29

36:29

Today we’re back with another installment of our Data-Centric AI series, joined by Wendy Foster, a director of engineering & data science at Shopify. In our conversation with Wendy, we explore the differences between data-centric and model-centric approaches and how they manifest at Shopify, including on her team, which is responsible for utilizing…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Transformers for Tabular Data at Capital One with Bayan Bruss - #591 46:55

9M ago46:55

46:55

Today we’re joined by Bayan Bruss, a Sr. director of applied ML research at Capital One. In our conversation with Bayan, we dig into his work in applying various deep learning techniques to tabular data, including taking advancements made in other areas like graph CNNs and other traditional graph mining algorithms and applying them to financial ser…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Understanding Collective Insect Communication with ML, w/ Orit Peleg - #590 37:13

9M ago37:13

37:13

Today we’re joined by Orit Peleg, an assistant professor at the University of Colorado, Boulder. Orit’s work focuses on understanding the behavior of disordered living systems, by merging tools from physics, biology, engineering, and computer science. In our conversation, we discuss how Orit found herself exploring problems of swarming behaviors an…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Multimodal, Multi-Lingual NLP at Hugging Face with John Bohannon and Douwe Kiela - #589 53:12

9M ago53:12

53:12

In this extra special episode of the TWIML AI Podcast, a friend of the show John Bohannon leads a jam-packed conversation with Hugging Face’s recently appointed head of research Douwe Kiela. In our conversation with Douwe, we explore his role at the company, how his perception of Hugging Face has changed since joining, and what research entails at …

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Synthetic Data Generation for Robotics with Bill Vass - #588 36:17

9M ago36:17

36:17

Today we’re joined by Bill Vass, a VP of engineering at Amazon Web Services. Bill spoke at the most recent AWS re:MARS conference, where he delivered an engineering Keynote focused on some recent updates to Amazon sagemaker, including its support for synthetic data generation. In our conversation, we discussed all things synthetic data, including t…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Multi-Device, Multi-Use-Case Optimization with Jeff Gehlhaar - #587 43:30

10M ago43:30

43:30

Today we’re joined by Jeff Gehlhaar, vice president of technology at Qualcomm Technologies. In our annual conversation with Jeff, we dig into the relationship between Jeff’s team on the product side and the research team, many of whom we’ve had on the podcast over the last few years. We discuss the challenges of real-world neural network deployment…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Causal Conceptions of Fairness and their Consequences with Sharad Goel - #586 37:17

10M ago37:17

37:17

Today we close out our ICML 2022 coverage joined by Sharad Goel, a professor of public policy at Harvard University. In our conversation with Sharad, we discuss his Outstanding Paper award winner Causal Conceptions of Fairness and their Consequences, which seeks to understand what it means to apply causality to the idea of fairness in ML. We explor…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Brain-Inspired Hardware and Algorithm Co-Design with Melika Payvand - #585 44:00

10M ago44:00

44:00

Today we continue our ICML coverage joined by Melika Payvand, a research scientist at the Institute of Neuroinformatics at the University of Zurich and ETH Zurich. Melika spoke at the Hardware Aware Efficient Training (HAET) Workshop, delivering a keynote on Brain-inspired hardware and algorithm co-design for low power online training on the edge. …

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Equivariant Priors for Compressed Sensing with Arash Behboodi - #584 39:30

10M ago39:30

39:30

Today we’re joined by Arash Behboodi, a machine learning researcher at Qualcomm Technologies. In our conversation with Arash, we explore his paper Equivariant Priors for Compressed Sensing with Unknown Orientation, which proposes using equivariant generative models as a prior means to show that signals with unknown orientations can be recovered wit…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Managing Data Labeling Ops for Success with Audrey Smith - #583 47:26

11M ago47:26

47:26

Today we continue our Data-Centric AI Series joined by Audrey Smith, the COO at MLtwist, and a recent participant in our panel on DCAI. In our conversation, we do a deep dive into data labeling for ML, exploring the typical journey for an organization to get started with labeling, her experience when making decisions around in-house vs outsourced l…

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