Carnegie Mellon University

Researchers from UC Berkeley and CMU Introduce a Task-Agnostic Reinforcement Learning (RL) Method to Auto-Tune Simulations to the Real World

Applying Deep Learning techniques to complex control tasks depends on simulations before transferring models to the real world. However, there is a challenging “reality...

Google AI Introduces ToTTo: A Controlled Table-to-Text Generation Dataset Using Novel Annotation Process

The rising field of natural-language generation Research in natural language generation (NLG), a subset of artificial intelligence, is rising. NLG is a software process that...

Researchers From Uber And CMU Develop An AI Language Model That Focuses On Polite And Positive Responses

AI-driven assistants are gaining significant traction in the modern world. AI assistants, like Alexa and Siri, need to exhibit apt social behavior to engage users...

Carnegie Mellon University’s CyLab Develops World’s Fastest Open-Source Intrusion Detection System

The detection and prevention of software security threats are significant concerns among various individuals and corporations connected through data protocols. They relied on exclusive...

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