Fresh AI news digest for November
Join us on this incredible adventure into the world of AI. Our team has gathered the latest AI news in one place to share with you. You can also read our recent articles about data annotation and machine learning.
The field of data science has almost reached its pinnacle due to automation capabilities of AI. But there is one process in the data pipeline that hasn’t been automated yet — data annotation. It’s high time to alter that.
Researchers from the University of Illinois developed a method for robots to work together through multi-agent reinforcement learning. This allows efficient communication through determining if a vehicle or robot is doing something that does or doesn’t contribute to the team’s main goal.
This algorithm is useful in a variety of real-world scenarios, including military surveillance, smart manufacturing in warehouses, traffic light monitoring, autonomous vehicles coordinating deliveries, and regulation of an electrical network.
Machines are figuring out how to develop human-like senses, such as sight, hearing, touch, smell, and even taste. However, if humans use their neural system to naturally respond to their environment, what do ML systems use?
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