Bluffing and tricking opponent with little to no interaction is what makes poker such an intense and lucrative game to play and to watch as well. Bluffing occasionally can be effective, but it might become predictable over time, resulting in losing a lot of money. It is, therefore, an art to balance the probability with which one can win, making it a tricky game.
Not only statistics but a lot of gut feeling goes into the game. So, can AI, a data-driven, pattern matching machine, trump the best minds of the game?
Efforts have been made for the past few years to teach AI to beat humans at almost every game that involves strategy. Poker so far has been immune to the relentless efforts of AI even though there were some decent achievements in the form of Libratus back in 2017.
But
📣 Want to advertise in AIM? Book here
Ram Sagar
I have a master's degree in Robotics and I write about machine learning advancements.
Related Posts
How Gradient-Boosting is Quietly Powering India’s Research Push
From groundwater and slopes to carbon sinks, tools like CatBoost are enabling Indian scientists to extract insights and drive sustainability.
India’s Data Centre Boom Is Running Into a Talent Wall
With capacity expected to more than double this decade, the industry is investing in training as graduates struggle to meet
This Firm Wants to be the ‘Next Big Disruptor’ in Networking
Arrcus positions itself as a horizontal software layer that can run across different types of networking hardware.
Will 2026 be the year of AI IPOs?
With CoreWeave’s listing and Fractal Analytics going for an IPO, an array of AI companies are now looking to raise
Fighting Deepfakes May Not Be a Technology Problem
Defenders must be active at all times, while attackers need only one opportunity.
India’s Data Centre Expansion Is Decentralising
Without compute buildup beyond metros, the next wave of digital adoption will be constrained
How Mumbai Keeps Winning India’s Data-Centre Race
Land prices are among the highest in the country, but total build economics remain competitive by global standards.
From Shortages to Scale, io.net’s Approach to Rewriting AI Compute Access
A decentralised GPU marketplace may scale AI compute faster than traditional clouds, as GPU demand towers over supply
Download the easiest way to
stay informed
stay informed
