26 episodes

Counting Sand, the podcast that tackles the hard problem of how to make meaning of all the data available today. Introducing the themes at the heart of big data, high performance, and computer science, the show highlights the most cutting-edge applications. Whether discussing the best designs for a complex data system or the social implications of bringing a diverse skillset to data science, each new episode will provide research-backed perspectives on today’s hardest problems.

Counting Sand Angelo Kastroulis

    • Technology
    • 5.0 • 23 Ratings

Counting Sand, the podcast that tackles the hard problem of how to make meaning of all the data available today. Introducing the themes at the heart of big data, high performance, and computer science, the show highlights the most cutting-edge applications. Whether discussing the best designs for a complex data system or the social implications of bringing a diverse skillset to data science, each new episode will provide research-backed perspectives on today’s hardest problems.

    HIMSS24: Value-Based Care, Health Equity, and AI

    HIMSS24: Value-Based Care, Health Equity, and AI

    In this episode of our HIMSS 24 coverage, host Angelo Kastrouis is joined by Nick Stepro, Chief Product and Technology Officer at Arcadia, to explore the future of healthcare. They dive into the crucial topics of value-based care, the impact of social determinants of health, and the transformative role of AI in healthcare. The conversation highlights the need for a shift from transactional patient histories to a more comprehensive, holistic approach. By integrating diverse data sets, including social and economic factors, healthcare providers can develop a longitudinal view of a patient's health, enhancing care for individuals and communities alike. Join us as we unpack these complex topics and envision a more integrated future for healthcare.

    Links:
    Nicholas Stepro
    https://www.linkedin.com/in/nickstepro/
    https://arcadia.io/

    Angelo Kastroulis
    https://www.linkedin.com/in/angelok1/
    https://twitter.com/AngeloKastr

    • 17 min
    AI Hot Sauce Taste Test Challenge

    AI Hot Sauce Taste Test Challenge

    Angelo Kastroulis and Petter Graff, two technology enthusiasts, explore the exciting field of artificial intelligence and its influence on everyday products. In this episode, they perform a taste test of hot sauces, attempting to discern the difference between AI-optimized hot sauce and traditionally-made sauce.

    • 30 min
    AI Hot Sauce Brothers Part 2

    AI Hot Sauce Brothers Part 2

    Angelo and Shohaib discuss the process of introducing new ingredients into hot sauce production using AI. They explore different approaches, such as creating new models or expanding the feature space. They also discuss the concept of transfer learning and whether to build upon an existing model or start from scratch. They highlight the benefits of using metaphors, like hot sauce, to explain complex concepts in a more tangible and relatable manner. Shekeib, who is less familiar with the technical aspects, appreciates the ability to understand and learn through these analogies. The conversation touches on the broader field of AI, including topics like Bayesian optimization, neural networks, reinforcement learning, and generative pre-trained transformers. Angelo expresses excitement about discussing mathematical concepts in a way that can engage a wider audience.

    • 15 min
    AI Hot Sauce Brothers - Part 1

    AI Hot Sauce Brothers - Part 1

    AI Hot Sauce Brothers, Shekeib and Angelo, discuss their process of optimizing hot sauce using Bayesian optimization. Shekeib, the subject matter expert in hot sauce, shares that the process involved trying various iterations of their base sauce and adjusting the amounts of ingredients such as vinegar, peppers, salt and jalapeño based on their taste tests and ratings. The brothers also noted the limitations of human-led optimization as compared to AI-led optimization which takes into account the interaction of ingredients and converges faster. They conclude by appreciating the role of Bayesian optimization in simulating human expertise and intuition, hence speeding up the process of creating an optimized hot sauce.

    Check out their hot sauce here: https://www.bayesiansauce.com/

    • 24 min
    Bonus: Season 2 Recap

    Bonus: Season 2 Recap

    As we conclude season 2, Angelo reflects on the many brilliant guests and shared insights throughout the season. As Moore's Law ends, how do we continue to innovate and adapt to the ever-increasing domain of data and performance? What's next in computer science? Will the innovation and invention cycles that took place with Moore's Law repeat themselves in the golden age of quantum computing?

    • 35 min
    The End of Moore's Law Part 2

    The End of Moore's Law Part 2

    Angelo is excited to welcome back his friend and colleague, Manos Athanassoulis. Manos is a Professor at Boston University and Data Systems Researcher. In this episode of Counting Sand, Angelo and Manos dive deep into what does a database actually do? What is at the core of a data system? Most importantly, how can we use new and old techniques to free up the CPU's load by algorithmic trickery.

    • 32 min

Customer Reviews

5.0 out of 5
23 Ratings

23 Ratings

Mikewithanopinion ,

Thought provoking

Finished the whole series and plan to revisit a few times. Software development is a marathon and it is nice to have thought provoking content to chew on and think about when along your software journey.

Goomzi ,

Technophile who talks plainly

Angelo takes complex topics, boils them down to easy to understand concepts while keeping the subject interesting. Love this, I’m a fan.

jdbaker01 ,

Deep, timely and easy to understand

Listened to the first episode and will definitely subscribe for future updates. The author gives an interesting perspective on historical story while then making application to modern computationally hard problems.

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