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Conversations with the people building AI

Causal Models in Practice at Lyft with Sean Taylor - #486

Causal Models in Practice at Lyft with Sean Taylor - #486

Today we’re joined by Sean Taylor, Staff Data Scientist at Lyft Rideshare Labs. We cover a lot of ground with Sean, starting with his recent decision to step away from his previous role as the lab director to take a more hands-on role, and what inspired that change. We also discuss his research at Rideshare Labs…

40 MinutesThe TWIML AI Podcast

Using AI to Map the Human Immune System w/ Jabran Zahid - #485

Using AI to Map the Human Immune System w/ Jabran Zahid - #485

Today we’re joined by Jabran Zahid, a Senior Researcher at Microsoft Research. In our conversation with Jabran, we explore their recent endeavor into the complete mapping of which T-cells bind to which antigens through the Antigen Map Project. We discuss how Jabran’s background in astrophysics and cosmology has…

42 MinutesThe TWIML AI Podcast

Apache TVM and OctoML

Apache TVM and OctoML

90% of AI / ML applications never make it to market, because fine tuning models for maximum performance across disparate ML software solutions and hardware backends requires a ton of manual labor and is cost-prohibitive. Luis Ceze and his team created Apache TVM at the University of Washington, then left founded…

49 MinutesPractical AI

Learning Long-Time Dependencies with RNNs w/ Konstantin Rusch - #484

Learning Long-Time Dependencies with RNNs w/ Konstantin Rusch - #484

Today we conclude our 2021 ICLR coverage joined by Konstantin Rusch, a PhD Student at ETH Zurich. In our conversation with Konstantin, we explore his recent papers, titled coRNN and uniCORNN respectively, which focus on a novel architecture of recurrent neural networks for learning long-time dependencies. We explore…

38 MinutesThe TWIML AI Podcast

What the Human Brain Can Tell Us About NLP Models with Allyson Ettinger - #483

What the Human Brain Can Tell Us About NLP Models with Allyson Ettinger - #483

Today we continue our ICLR ‘21 series joined by Allyson Ettinger, an Assistant Professor at the University of Chicago. One of our favorite recurring conversations on the podcast is the two-way street that lies between machine learning and neuroscience, which Allyson explores through the modeling of cognitive processes…

38 MinutesThe TWIML AI Podcast

25 years of speech technology innovation

25 years of speech technology innovation

To say that Jeff Adams is a trailblazer when it comes to speech technology is an understatement. Along with many other notable accomplishments, his team at Amazon developed the Echo, Dash, and Fire TV changing our perception of how we could interact with devices in our home. Jeff now leads Cobalt Speech and Language…

43 MinutesPractical AI

Probabilistic Numeric CNNs with Roberto Bondesan - #482

Probabilistic Numeric CNNs with Roberto Bondesan - #482

Today we kick off our ICLR 2021 coverage joined by Roberto Bondesan, an AI Researcher at Qualcomm. In our conversation with Roberto, we explore his paper Probabilistic Numeric Convolutional Neural Networks, which represents features as Gaussian processes, providing a probabilistic description of discretization error.…

41 MinutesThe TWIML AI Podcast

Building a Unified NLP Framework at LinkedIn with Huiji Gao - #481

Building a Unified NLP Framework at LinkedIn with Huiji Gao - #481

Today we’re joined by Huiji Gao, a Senior Engineering Manager of Machine Learning and AI at LinkedIn. In our conversation with Huiji, we dig into his interest in building NLP tools and systems, including a recent open-source project called DeText, a framework for generating models for ranking classification and…

35 MinutesThe TWIML AI Podcast

Generating "hunches" using smart home data 🏠

Generating "hunches" using smart home data 🏠

Smart home data is complicated. There are all kinds of devices, and they are in many different combinations, geographies, configurations, etc. This complicated data situation is further exacerbated during a pandemic when time series data seems to be filled with anomalies. Evan Welbourne joins us to discuss how Amazon…

43 MinutesPractical AI

Dask + Data Science Careers with Jacqueline Nolis - #480

Dask + Data Science Careers with Jacqueline Nolis - #480

Today we’re joined by Jacqueline Nolis, Head of Data Science at Saturn Cloud, and co-host of the Build a Career in Data Science Podcast. You might remember Jacqueline from our Advancing Your Data Science Career During the Pandemic panel, where she shared her experience trying to navigate the suddenly hectic data…

35 MinutesThe TWIML AI Podcast

Machine Learning for Equitable Healthcare Outcomes with Irene Chen - #479

Machine Learning for Equitable Healthcare Outcomes with Irene Chen - #479

Today we’re joined by Irene Chen, a Ph.D. student at MIT. Irene’s research is focused on developing new machine learning methods specifically for healthcare, through the lens of questions of equity and inclusion. In our conversation, we explore some of the various projects that Irene has worked on, including an early…

37 MinutesThe TWIML AI Podcast

Mapping the world

Mapping the world

Ro Gupta from CARMERA teaches Daniel and Chris all about road intelligence. CARMERA maintains the maps that move the world, from HD maps for automated driving to consumer maps for human navigation. Sponsors: O'Reilly Media – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open…

53 MinutesPractical AI