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New Salesforce Research AI Simulates Millions of Years of Economic Data Using RL

Salesforce Research published a groundbreaking paper, The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies, which applies AI and reinforcement learning to create tax policy for the first time.

Tomorrow’s Machine Learning Today: Topological Data Analysis, Embedding, and Reinforcement Learning

In this contributed article, editorial consultant Jelani Harper highlights how certain visual approaches of graph aware systems will significantly shape the form machine learning takes in the near future, exponentially increasing its value to the enterprise. Developments in topological data analysis, embedding, and reinforcement learning are not only rendering this technology more useful, but much more dependable for a broader array of use cases.

Cerebri AI Launches Cerebri Values CX v2 Platform

Cerebri AI, announced the official launch of its second-generation Cerebri Values Customer Experience platform (CV/CX v2), which is now in the hands of customers and in full production. CV/CX v2 insights, brand commitment - Cerebri Values and Next Best Action{set}s are all driven by patent-pending object-oriented AI and reinforcement learning modelling methods. Our technology can time, sequence and value up to four events, rendering ‘rules-based’ and ‘AI-lite’ technology obsolete for driving maximum results.

Deep Reinforcement Learning: From Board Games to the Boardroom

In this contributed article, Andrew Vaziri, a Senior Artificial Intelligence Engineer at Bonsai, highlights how we are now entering the age of profit-making Deep Reinforcement Learning (DRL), and why it took so long for this technology to make the leap from board games to the boardroom?