SyncAI.news, a Varaisys broadcasting

Podcast

Conversations with the people building AI

Low code, no code, accelerated code, & failing code

Low code, no code, accelerated code, & failing code

In this Fully-Connected episode, Chris and Daniel discuss low code / no code development, GPU jargon, plus more data leakage issues. They also share some really cool new learning opportunities for leveling up your AI/ML game! Sponsors: Changelog++ – You love our content and you want to take it to the next level by…

48 MinutesPractical AI

Innovating Neural Machine Translation with Arul Menezes - #458

Innovating Neural Machine Translation with Arul Menezes - #458

Today we’re joined by Arul Menezes, a Distinguished Engineer at Microsoft. Arul, a 30 year veteran of Microsoft, manages the machine translation research and products in the Azure Cognitive Services group. In our conversation, we explore the historical evolution of machine translation like breakthroughs in seq2seq and…

44 MinutesThe TWIML AI Podcast

Building the Product Knowledge Graph at Amazon with Luna Dong - #457

Building the Product Knowledge Graph at Amazon with Luna Dong - #457

Today we’re joined by Luna Dong, Sr. Principal Scientist at Amazon. In our conversation with Luna, we explore Amazon’s expansive product knowledge graph, and the various roles that machine learning plays throughout it. We also talk through the differences and synergies between the media and retail product knowledge…

44 MinutesThe TWIML AI Podcast

The AI doc will see you now

The AI doc will see you now

Elad Walach of Aidoc joins Chris to talk about the use of AI for medical imaging interpretation. Starting with the world’s largest annotated training data set of medical images, Aidoc is the radiologist’s best friend, helping the doctor to interpret imagery faster, more accurately, and improving the imaging workflow…

46 MinutesPractical AI

Towards a Systems-Level Approach to Fair ML with Sarah M. Brown - #456

Towards a Systems-Level Approach to Fair ML with Sarah M. Brown - #456

Today we’re joined by Sarah Brown, an Assistant Professor of Computer Science at the University of Rhode Island. In our conversation with Sarah, whose research focuses on Fairness in AI, we discuss why a “systems-level” approach is necessary when thinking about ethical and fairness issues in models and algorithms. We…

38 MinutesThe TWIML AI Podcast

AI for Digital Health Innovation with Andrew Trister - #455

AI for Digital Health Innovation with Andrew Trister - #455

Today we’re joined by Andrew Trister, Deputy Director for Digital Health Innovation at the Bill & Melinda Gates Foundation. In our conversation with Andrew, we explore some of the AI use cases at the foundation, with the goal of bringing “community-based” healthcare to underserved populations in the global south. We…

42 MinutesThe TWIML AI Podcast

System Design for Autonomous Vehicles with Drago Anguelov - #454

System Design for Autonomous Vehicles with Drago Anguelov - #454

Today we’re joined by Drago Anguelov, Distinguished Scientist and Head of Research at Waymo. In our conversation, we explore the state of the autonomous vehicles space broadly and at Waymo, including how AV has improved in the last few years, their focus on level 4 driving, and Drago’s thoughts on the direction of the…

51 MinutesThe TWIML AI Podcast

Building, Adopting, and Maturing LinkedIn's Machine Learning Platform with Ya Xu - #453

Building, Adopting, and Maturing LinkedIn's Machine Learning Platform with Ya Xu - #453

Today we’re joined by Ya Xu, head of Data Science at LinkedIn, and TWIMLcon: AI Platforms 2021 Keynote Speaker. We cover a ton of ground with Ya, starting with her experiences prior to becoming Head of DS, as one of the architects of the LinkedIn Platform. We discuss her “three phases” (building, adoption, and…

49 MinutesThe TWIML AI Podcast

Cooking up synthetic data with Gretel

Cooking up synthetic data with Gretel

John Myers of Gretel puts on his apron and rolls up his sleeves to show Dan and Chris how to cook up some synthetic data for automated data labeling, differential privacy, and other purposes. His military and intelligence community background give him an interesting perspective that piqued the interest of our intrepid…

48 MinutesPractical AI

Expressive Deep Learning with Magenta DDSP w/ Jesse Engel - #452

Expressive Deep Learning with Magenta DDSP w/ Jesse Engel - #452

Today we’re joined by Jesse Engel, Staff Research Scientist at Google, working on the Magenta Project. In our conversation with Jesse, we explore the current landscape of creativity AI, and the role Magenta plays in helping express creativity through ML and deep learning. We dig deep into their Differentiable Digital…

39 MinutesThe TWIML AI Podcast

Semantic Folding for Natural Language Understanding with Francisco Weber - #451

Semantic Folding for Natural Language Understanding with Francisco Weber - #451

Today we’re joined by return guest Francisco Webber, CEO & Co-founder of Cortical.io. Francisco was originally a guest over 4 years and 400 episodes ago, where we discussed his company Cortical.io, and their unique approach to natural language processing. In this conversation, Francisco gives us an update on Cortical…

55 MinutesThe TWIML AI Podcast

The nose knows

The nose knows

Daniel and Chris sniff out the secret ingredients for collecting, displaying, and analyzing odor data with Terri Jordan and Yanis Caritu of Aryballe. It certainly smells like a good time, so join them for this scent-illating episode! Sponsors: Changelog++ – You love our content and you want to take it to the next…

55 MinutesPractical AI