A new suite of tools and services address need for high-quality domain-specific datasets and human feedback pipelines ...
Robots are increasingly learning new skills by watching people. From folding laundry to handling food, many real-world, humanlike tasks are too nuanced to be efficiently programmed step by step.
Current AI systems rely on pretraining and human-led updates, while researchers like Yann LeCun propose a shift toward ...
To this day, in the known universe, only one example exists of a system capable of general-purpose intelligence. That system ...
Decision neuroscience explores the neural underpinnings of how individuals and groups make choices, integrating perspectives from cognitive neuroscience, ...
Ray Hao is a PhD student and Fulton Fellow in Human Systems Engineering at Arizona State University, studying under Dr. Jamie Gorman. Lucrezia Lucchi is a Psychology PhD student in the Dynamics of ...
Reinforcement learning systems can process vast datasets and optimize decisions at scale far faster than any human could. Still, there are significant risks when ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results