47 episodes

It’s Machine Yearning from Assist. It’s a podcast where we think and dream about the future of AI, the talking internet, and how we’re reshaping our culture.

Machine Yearning Assist

    • Technology

It’s Machine Yearning from Assist. It’s a podcast where we think and dream about the future of AI, the talking internet, and how we’re reshaping our culture.

    Max Sklar: Full Interview

    Max Sklar: Full Interview

    It’s Machine Yearning from Assist. Another week where we continue on this adventure where marketers, brands, and entrepreneurs get to have a place to think, dream, and ask questions about the future of AI, the talking internet, and how we’re reshaping our culture.
    This week is a rocket. And the rocket has a name. Max Sklar.
    Max is machine learning engineer at Foursquare and is a fountain of smart, concise thinking on privacy, social media and whether we’re looking at an imminent AI winter.
    Assist’s Shane Mac got so much goodness from his fellow podcaster. We think this is an episode so packed with goodness you’ll want to give it a few listens and DEFINITELY share it with friends.
    Then…! Make sure you check out Max’s pod - The Local Maximum. It’s awesome.

    • 30 min
    Max Sklar: Chapter 1: How to break through with recommendation, anticipation and product design

    Max Sklar: Chapter 1: How to break through with recommendation, anticipation and product design

    This week is a rocket. And the rocket has a name. Max Sklar.
    Max is machine learning engineer at Foursquare and is a fountain of smart, concise thinking on recommendation, anticipation and how to break through with your product design.
    In this chapter from the longer podcast, Assist’s Shane Mac got so much goodness from his fellow podcaster. We think this is so packed with goodness you’ll want to give it a few listens and DEFINITELY share it with friends.
    Then…! Make sure you check out Max’s pod - The Local Maximum. It’s awesome.

    • 9 min
    Max Sklar: Chapter 2: Fixing social and the unexpectedness metric

    Max Sklar: Chapter 2: Fixing social and the unexpectedness metric

    This week is a rocket. And the rocket has a name. Max Sklar.
    Max is machine learning engineer at Foursquare and is a fountain of smart, concise thinking and in the next 11 minutes Max and Shane are going to help you sound smarter about the problems of social media. The objectivity/ subjectivity conundrum, language classifiers, tweaks to the recommender system - Max hones in on several of the Gordian Knots that keep us stuck.
    All of this has significant ramifications for everyone who is trying to figure out how to blend sentiment, community satisfaction and technology.
    In this chapter from the longer podcast, Assist’s Shane Mac got so much goodness from his fellow podcaster. We think this is so packed with goodness you’ll want to give it a few listens and DEFINITELY share it with friends.
    Then…! Make sure you check out Max’s pod - The Local Maximum. It’s awesome.

    • 11 min
    Max Sklar: Chapter 3: The possibility of an AI winter and the challenges of multi-language NLP

    Max Sklar: Chapter 3: The possibility of an AI winter and the challenges of multi-language NLP

    This week is a rocket. And the rocket has a name. Max Sklar.
    Max is machine learning engineer at Foursquare and is a fountain of smart, concise thinking on privacy, social media and whether we’re looking at an imminent AI winter.
    In this chapter from the longer podcast, Assist’s Shane Mac got so much goodness from his fellow podcaster. We think this is so packed with goodness you’ll want to give it a few listens and DEFINITELY share it with friends.
    Then…! Make sure you check out Max’s pod - The Local Maximum. It’s awesome.

    • 10 min
    Deborah Dahl: Full Interview

    Deborah Dahl: Full Interview

    A few episodes back, Machine Yearning brought you a series of conversations from the VOICE conference. With over 2000 attendees at the largest gathering of the conversational technology world, VOICE was intense. You heard from voice and machine learning powerhouses like Cathy Pearl from Google and Patricia Scanlon, who has built a natural language data set from over a million samples of children under 12.
    Now, we’re excited to present another individual with profound Natural Language Processing experience: Dr. Deborah Dahl. Deborah has been at the forefront of voice and speech, multimodal and accessibility standards design on the web for over 30 years. Her view on this space, and her sense of humor about it all, is fantastic. These days, Deborah is the Principal behind Conversational Technologies, a company that focuses on new, disruptive applications of speech and language technologies.
    Let’s dive in, mid-conversation, where we asked Deborah to step back and give us some overview on notable projects from across her storied career.

    • 26 min
    Deborah Dahl: Chapter 1: How speech recognition’s past can inform our future

    Deborah Dahl: Chapter 1: How speech recognition’s past can inform our future

    A few episodes back, Machine Yearning brought you a series of conversations from the VOICE conference. With over 2000 attendees at the largest gathering of the conversational technology world, VOICE was intense. You heard from voice and machine learning powerhouses like Cathy Pearl from Google and Patricia Scanlon, who has built a natural language data set from over a million samples of children under 12.
    Now, we’re excited to present another individual with profound Natural Language Processing experience: Dr. Deborah Dahl. Deborah has been at the forefront of voice and speech, multimodal and accessibility standards design on the web for over 30 years. Her view on this space, and her sense of humor about it all, is fantastic. These days, Deborah is the Principal behind Conversational Technologies, a company that focuses on new, disruptive applications of speech and language technologies.
    Let’s dive in, mid-conversation, where we asked Deborah to step back and give us some overview on notable projects from across her storied career.

    • 15 min

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