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OpenAI Tried to Train AI Agents to Play Hide-And-Seek but Instead They Were Shocked by What They Learned
OpenAI trained agents in a simple game of hide-and-seek and learned many other different skills in the process.
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Recreating Imagination: DeepMind Builds Neural Networks that Spontaneously Replay Past Experiences
DeepMind researchers created a model to be able to replay past experiences in a way that simulate the mechanisms in the hippocampus.
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DeepMind Has Quietly Open Sourced Three New Impressive Reinforcement Learning Frameworks
Three new releases that will help researchers streamline the implementation of reinforcement learning programs.
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Introducing IceCAPS: Microsoft’s Framework for Advanced Conversation Modeling
The new open source framework that brings multi-task learning to conversational agents.
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What is Machine Behavior?
The new emerging field that wants to study AI agents the way social scientists study humans.
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Beyond Neurons: Five Cognitive Functions of the Human Brain that we are Trying to Recreate with Artificial Intelligence
The quest for recreating cognitive capabilities of the brain in deep neural networks remains one of the elusive goals of AI. Let’s explore some human cognitive skills that are serving as inspiration to a new generation of AI techniques.
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Introducing AI Explainability 360: A New Toolkit to Help You Understand what Machine Learning Models are Doing
Recently, AI researchers from IBM open sourced AI Explainability 360, a new toolkit of state-of-the-art algorithms that support the interpretability and explainability of machine learning models.
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How LinkedIn, Uber, Lyft, Airbnb and Netflix are Solving Data Management and Discovery for Machine Learning Solutions
As machine learning evolves, the need for tools and platforms that automate the lifecycle management of training and testing datasets is becoming increasingly important. Fast growing technology companies like Uber or LinkedIn have been forced to build their own in-house data lifecycle management solutions to power different groups of machine learning models.
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Inside Pluribus: Facebook’s New AI That Just Mastered the World’s Most Difficult Poker Game
The reasons why Pluribus represents a major breakthrough in AI systems might result confusing to many readers. After all, in recent years AI researchers have made tremendous progress across different complex games. However, six-player, no-limit Texas Hold’em still remains one of the most elusive challenges for AI systems.
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Decentralized and Collaborative AI: How Microsoft Research is Using Blockchains to Build More Transparent Machine Learning Models
Recently, AI researchers from Microsoft open sourced the Decentralized & Collaborative AI on Blockchain project that enables the implementation of decentralized machine learning models based on blockchain technologies.
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