U Alberta Researchers Pit AI Program Against Card Sharks

A team of computer science researchers at the University of Alberta are pitting Polaris, their poker-playing computer program, against two of the best Texas Hold 'em card players in the hemisphere. The purse is $50,000 in the 2,000-hand match between card sharks Phil Laak and Ali Eslami and the Alberta team, led by Jonathan Schaeffer.

Schaefer, who headed the team that created Polaris, said the poker is meant to be fun but also to test the limits of artificial intelligence in the dynamic, idiosyncratic world of card gambling.

"We have developed a format that has helped us factor out luck and make it into a scientific experiment to determine how good humans are relative to the best program in the world," Schaeffer told the Canadian Press. "The goal is to eventually produce a poker program that is stronger than all human players."

The match will be played July 23 and 24 in conjunction with the Association for the Advancement of Artificial Intelligence Conference in Vancouver.

Polaris represents several computer programs with different characteristics. One variant learns from the strengths and weaknesses of other players and adjusts its tactics--such as bluffing--accordingly.

"There is a mathematically optimal rate at which you should bluff," Schaeffer said. "Computers can calculate that. Humans don't understand the mathematics of poker. If they bluff too much, you can exploit them and win money."

Read More:

About the Author

Paul McCloskey is contributing editor of Syllabus.

Featured

  • interconnected cloud icons with glowing lines on a gradient blue backdrop

    Report: Cloud Certifications Bring Biggest Salary Payoff

    It pays to be conversant in cloud, according to a new study from Skillsoft The company's annual IT skills and salary survey report found that the top three certifications resulting in the highest payoffs salarywise are for skills in the cloud, specifically related to Amazon Web Services (AWS), Google Cloud, and Nutanix.

  • AI-inspired background pattern with geometric shapes and fine lines in muted blue and gray on a dark background

    IBM Releases Granite 3.0 Family of Advanced AI Models

    IBM has introduced its most advanced family of AI models to date, Granite 3.0, at its annual TechXchange event. The new models were developed to provide a combination of performance, flexibility, and autonomy that outperforms or matches similarly sized models from leading providers on a range of benchmarks.

  • landscape photo with an AI rubber stamp on top

    California AI Watermarking Bill Garners OpenAI Support

    ChatGPT creator OpenAI is backing a California bill that would require tech companies to label AI-generated content in the form of a digital "watermark." The proposed legislation, known as the "California Digital Content Provenance Standards" (AB 3211), aims to ensure transparency in digital media by identifying content created through artificial intelligence. This requirement would apply to a broad range of AI-generated material, from harmless memes to deepfakes that could be used to spread misinformation about political candidates.

  • happy woman sitting in front of computer

    Delightful Progress: Kuali's Legacy of Community and Leadership

    CEO Joel Dehlin updates us on Kuali today, and how it has thrived as a software company that succeeds in the tech marketplace while maintaining the community values envisioned in higher education years ago.