Hardware Podcasts

93. AI Predicts Sports Games with 80% Accuracy

The Next Byte Podcast · 25 Oct 2022 · 22m

What this episode covers

Hosts Daniel and Forbode discuss research by Professor Silvia Ferrari at Cornell University, which uses AI to predict player actions in volleyball and hockey with 80% accuracy. The episode details the use of Dynamic Markov Random Fields (DMRF) and Multi-Layer Perceptrons (MLP) to analyze both explicit movement data and implicit team strategies. The hosts explore how this technology, originally aimed at improving human-robot interaction in warehouses, applies to sports analytics, autonomous vehicles, and video game AI.

Most relevant to

makers and hobbyists

Topics

Mentioned

Companies
Mouser Electronics, Cornell University
Also
Dynamic Markov Random Field, Multi-Layer Perceptron

Related episodes from other shows

Other shows on the same ground, closest first.

  • Moore's Lobby · 54m

    Generative AI for Dirty Jobs—The Next Industrial Revolution?

    Christopher Savoie, founder and CEO of Zapata AI, discusses his career from early biophysics research to co-inventing the technology behind Apple Siri. He argues for specialized, ensemble-based AI agents over monolithic models, citing applications in motorsports with Andretti Autosport and grid management. Savoie highlights how predictive analytics in racing and power grids reduce surprises, while warning about the privacy and ethical risks of big data surveillance by governments and corporations.

    AI & machine learningSecurity & privacy
    8 chapters

  • Robot Talk · 29m

    Episode Fifty-Two: Sara Bernardini

    Sara Bernardini, Professor of AI at Royal Holloway University of London and Principal Research Scientist at the National Oceanography Centre, discusses decision-making for autonomous systems in complex environments. She explains how robots use symbolic AI and game theory to plan actions in real-time, particularly in multi-agent scenarios like automated warehousing and surveillance. Bernardini also details her work on creating digital twins of the ocean to model climate change impacts and test environmental policies.

    Embedded firmwareAI & machine learning
    5 chapters

  • The Robot Report Podcast · 1h 09m

    Editors Pick: Best Robots of CES 2023; Boston Dynamics Atlas video review

    Hosts Steve Crowe and Mike Oitzman review the new Boston Dynamics Atlas video, highlighting its use of simulation and model predictive control to achieve complex athletic maneuvers. Oitzman then recaps his trip to CES 2023, featuring interviews with Dan Haddick of Aeolus Robotics about their Gen 2 humanoid service robot and Tony Crisp of Robosen regarding their programmable Optimus Prime toy. The episode concludes with a discussion on recent industry layoffs and an interview with Paul Mitchell, founder of the IAC autonomous car race, about the event's evolution.

    Robotics & autonomyEmbedded firmware
    6 chapters

The summary, chapters and topics are generated from the episode’s audio by this directory, not written by The Next Byte Podcast. The episode itself belongs to its publisher.