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    Explore " deep learning" with insightful episodes like "Creating a culture of innovation", "🌍 AI in Africa - Voice & language tools", "The world needs an AI superhero", "Democratizing ML for speech" and "Eliminate AI failures" from podcasts like ""Practical AI: Machine Learning, Data Science", "Practical AI: Machine Learning, Data Science", "Practical AI: Machine Learning, Data Science", "Practical AI: Machine Learning, Data Science" and "Practical AI: Machine Learning, Data Science"" and more!

    Episodes (100)

    Creating a culture of innovation

    Creating a culture of innovation
    Daniel and Chris talk with Lukas Egger, Head of Innovation Office and Strategic Projects at SAP Business Process Intelligence. Lukas describes what it takes to bring a culture of innovation into an organization, and how to infuse product development with that innovation culture. He also offers suggestions for how to mitigate challenges and blockers.
    Practical AI: Machine Learning, Data Science
    en-usMarch 08, 2022
    ai
    artificial intelligence
    machine learning
    neural networks
    deep learning
    computer vision
    changelog

    🌍 AI in Africa - Voice & language tools

    🌍 AI in Africa - Voice & language tools
    In the third of the “AI in Africa” spotlight episodes, we welcome Kathleen Siminyu, who is building Kiswahili voice tools at Mozilla. We had a great discussion with Kathleen about creating more diverse voice and language datasets, involving local language communities in NLP work, and expanding grassroots ML/AI efforts across Africa.
    Practical AI: Machine Learning, Data Science
    en-usFebruary 09, 2022
    ai
    artificial intelligence
    machine learning
    neural networks
    deep learning
    computer vision
    changelog

    The world needs an AI superhero

    The world needs an AI superhero
    From drug discovery at the Quebec AI Institute to improving capabilities with low-resourced languages at the Masakhane Research Foundation and Google AI, Bonaventure Dossou looks for opportunities to use his expertise in natural language processing to improve the world - and especially to help his homeland in the Benin Republic in Africa.
    Practical AI: Machine Learning, Data Science
    en-usJanuary 25, 2022
    ai
    artificial intelligence
    machine learning
    neural networks
    deep learning
    computer vision
    changelog

    Democratizing ML for speech

    Democratizing ML for speech
    You might know about MLPerf, a benchmark from MLCommons that measures how fast systems can train models to a target quality metric. However, MLCommons is working on so much more! David Kanter joins us in this episode to discuss two new speech datasets that are democratizing machine learning for speech via data scale and language/speaker diversity.
    Practical AI: Machine Learning, Data Science
    en-usJanuary 19, 2022
    ai
    artificial intelligence
    machine learning
    neural networks
    deep learning
    computer vision
    changelog

    Eliminate AI failures

    Eliminate AI failures
    We have all seen how AI models fail, sometimes in spectacular ways. Yaron Singer joins us in this episode to discuss model vulnerabilities and automatic prevention of bad outcomes. By separating concerns and creating a “firewall” around your AI models, it’s possible to secure your AI workflows and prevent model failure.
    Practical AI: Machine Learning, Data Science
    en-usJanuary 11, 2022
    ai
    artificial intelligence
    machine learning
    neural networks
    deep learning
    computer vision
    changelog

    🌍 AI in Africa - Radiant Earth

    🌍 AI in Africa - Radiant Earth
    In the second of the “AI in Africa” spotlight episodes, we welcome guests from Radiant Earth to talk about machine learning for earth observation. They give us a glimpse into their amazing data and tooling for working with satellite imagery, and they talk about use cases including crop identification and tropical storm wind speed estimation.
    Practical AI: Machine Learning, Data Science
    en-usJanuary 05, 2022
    ai
    artificial intelligence
    machine learning
    neural networks
    deep learning
    computer vision
    changelog

    OpenAI and Hugging Face tooling

    OpenAI and Hugging Face tooling
    The time has come! OpenAI’s API is now available with no waitlist. Chris and Daniel dig into the API and playground during this episode, and they also discuss some of the latest tool from Hugging Face (including new reinforcement learning environments). Finally, Daniel gives an update on how he is building out infrastructure for a new AI team.
    Practical AI: Machine Learning, Data Science
    en-usDecember 14, 2021
    ai
    artificial intelligence
    machine learning
    neural networks
    deep learning
    computer vision
    changelog

    Friendly federated learning 🌼

    Friendly federated learning 🌼
    This episode is a follow up to our recent Fully Connected show discussing federated learning. In that previous discussion, we mentioned Flower (a “friendly” federated learning framework). Well, one of the creators of Flower, Daniel Beutel, agreed to join us on the show to discuss the project (and federated learning more broadly)! The result is a really interesting and motivating discussion of ML, privacy, distributed training, and open source AI.
    Practical AI: Machine Learning, Data Science
    en-usDecember 07, 2021
    ai
    artificial intelligence
    machine learning
    neural networks
    deep learning
    computer vision
    changelog

    Technology as a force for good

    Technology as a force for good
    Here’s a bonus episode this week from our friends behind Me, Myself, and AI — a podcast on artificial intelligence and business, and produced by MIT Sloan Management Review and Boston Consulting Group. We partnered with them to help promote their awesome podcast. We hand picked this full-length episode to share with you because of its focus on using technology as a force for good, something we’re very passionate about. This episode features, Paula Goldman, Chief Ethical and Humane Use Officer at Salesforce, and the conversation touches on some interesting topics around the role tech companies play in society at large.
    Practical AI: Machine Learning, Data Science
    en-usDecember 02, 2021
    ai
    artificial intelligence
    machine learning
    neural networks
    deep learning
    computer vision
    changelog

    AI-generated code with OpenAI Codex

    AI-generated code with OpenAI Codex
    Recently, GitHub released Copilot, which is an amazing AI pair programmer powered by OpenAI’s Codex model. In this episode, Natalie Pistunovich tells us all about Codex and helps us understand where it fits in our development workflow. We also discuss MLOps and how AI is influencing software engineering more generally.
    Practical AI: Machine Learning, Data Science
    en-usNovember 30, 2021
    ai
    artificial intelligence
    machine learning
    neural networks
    deep learning
    computer vision
    changelog

    Zero-shot multitask learning

    Zero-shot multitask learning
    In this Fully-Connected episode, Daniel and Chris ponder whether in-person AI conferences are on the verge of making a post-pandemic comeback. Then on to BigScience from Hugging Face, a year-long research workshop on large multilingual models and datasets. Specifically they dive into the T0, a series of natural language processing (NLP) AI models specifically trained for researching zero-shot multitask learning. Daniel provides a brief tour of the possible with the T0 family. They finish up with a couple of new learning resources.
    Practical AI: Machine Learning, Data Science
    en-usNovember 24, 2021
    ai
    artificial intelligence
    machine learning
    neural networks
    deep learning
    computer vision
    changelog

    Analyzing the 2021 AI Index Report

    Analyzing the 2021 AI Index Report
    Each year we discuss the latest insights from the Stanford Institute for Human-Centered Artificial Intelligence (HAI), and this year is no different. Daniel and Chris delve into key findings and discuss in this Fully-Connected episode. They also check out a study called ‘Delphi: Towards Machine Ethics and Norms’, about how to integrate ethics and morals into AI models.
    Practical AI: Machine Learning, Data Science
    en-usNovember 10, 2021
    ai
    artificial intelligence
    machine learning
    neural networks
    deep learning
    computer vision
    changelog

    Photonic computing for AI acceleration

    Photonic computing for AI acceleration
    There are a lot of people trying to innovate in the area of specialized AI hardware, but most of them are doing it with traditional transistors. Lightmatter is doing something totally different. They’re building photonic computers that are more power efficient and faster for AI inference. Nick Harris joins us in this episode to bring us up to speed on all the details.
    Practical AI: Machine Learning, Data Science
    en-usNovember 02, 2021
    ai
    artificial intelligence
    machine learning
    neural networks
    deep learning
    computer vision
    changelog

    Eureka moments with natural language processing

    Eureka moments with natural language processing
    When is the last time you had a eureka moment? Chris had a chat with Nicholas Mohnacky, CEO and Cofounder of bundleIQ, where they use natural language processing algorithms like GPT-3 to connect your Google GSuite with other personal data sources to find deeper connections, go beyond the obvious, and create eureka moments.
    Practical AI: Machine Learning, Data Science
    en-usOctober 26, 2021
    ai
    artificial intelligence
    machine learning
    neural networks
    deep learning
    computer vision
    changelog

    🌍 AI in Africa - Makerere AI Lab

    🌍 AI in Africa - Makerere AI Lab
    This is the first episode in a special series we are calling the “Spotlight on AI in Africa”. To kick things off, Joyce and Mutembesa from Makerere University’s AI Lab join us to talk about their amazing work in computer vision, natural language processing, and data collection. Their lab seeks out problems that matter in African communities, pairs those problems with appropriate data/tools, and works with the end users to ensure that solutions create real value.
    Practical AI: Machine Learning, Data Science
    en-usOctober 19, 2021
    ai
    artificial intelligence
    machine learning
    neural networks
    deep learning
    computer vision
    changelog

    Federated Learning 📱

    Federated Learning 📱
    Federated learning is increasingly practical for machine learning developers because of the challenges we face with model and data privacy. In this fully connected episode, Chris and Daniel dive into the topic and dissect the ideas behind federated learning, practicalities of implementing decentralized training, and current uses of the technique.
    Practical AI: Machine Learning, Data Science
    en-usOctober 12, 2021
    ai
    artificial intelligence
    machine learning
    neural networks
    deep learning
    computer vision
    changelog

    Balancing human intelligence with AI

    Balancing human intelligence with AI
    Polarity Mapping is a framework to “help problems be solved in a realistic and multidimensional manner” (see here for more info). In this week’s fully connected episode, Chris and Daniel use this framework to help them discuss how an organization can strike a good balance between human intelligence and AI. AI can’t solve everything and humans need to be in-the-loop with many AI solutions.
    Practical AI: Machine Learning, Data Science
    en-usSeptember 28, 2021
    ai
    artificial intelligence
    machine learning
    neural networks
    deep learning
    computer vision
    changelog

    From notebooks to Netflix scale with Metaflow

    From notebooks to Netflix scale with Metaflow
    As you start developing an AI/ML based solution, you quickly figure out that you need to run workflows. Not only that, you might need to run those workflows across various kinds of infrastructure (including GPUs) at scale. Ville Tuulos developed Metaflow while working at Netflix to help data scientists scale their work. In this episode, Ville tells us a bit more about Metaflow, his new book on data science infrastructure, and his approach to helping scale ML/AI work.
    Practical AI: Machine Learning, Data Science
    en-usSeptember 21, 2021
    ai
    artificial intelligence
    machine learning
    neural networks
    deep learning
    computer vision
    changelog

    Journal Club: Finding New Antibiotics with Machine Learning, What Coronavirus Structures Tell Us

    Journal Club: Finding New Antibiotics with Machine Learning, What Coronavirus Structures Tell Us

    a16z Journal Club (part of the a16z Podcast), curates and covers recent advances from the scientific literature -- what papers we’re reading, and why they matter from our perspective at the intersection of biology & technology (for bio journal club). This inaugural episode covers 2 different topics, in discussion with Lauren Richardson:

    0:26 #1 identifying new antibiotics through a novel machine-learning based approach -- a16z general partner Vijay Pande and bio deal partner Andy Tran discuss the business of pharma; the specific methods/  how it works; and other applications for deep learning in drug discovery and development based on this paper:

    • "A Deep Learning Approach to Antibiotic Discovery" in Cell (February 2020), by Jonathan Stokes, Kevin Yang, Kyle Swanson, Wengong Jin, Andres Cubillos-Ruiz, Nina Donghia, Craig MacNair, Shawn French, Lindsey Carfrae, Zohar Bloom-Ackermann, Victoria Tran, Anush Chiappino-Pepe, Ahmed Badran, Ian Andrews, Emma Chory, George Church, Eric Brown, Tommi Jaakkola, Regina Barzilay, James Collins

    11:43 #2 characterizing the novel coronavirus causing the COVID-19 pandemic -- a16z bio deal partner Judy Savitskaya shares what we can learn from the protein structures; the relationship to the 2002-2004 SARS epidemic; and more based on these two research articles: 

    You can find these episodes at a16z.com/journalclub.

    a16z Podcast
    enApril 26, 2020
    machine learning
    coronavirus
    journal club
    a16z journal club
    pharma industry
    deep learning
    protein structures
    cryo-em
    antibiotics
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