A wave of research improves reinforcement learning algorithms by pre-training them as if they were human.
Quanta Magazine From ACM Opinion | February 6, 2023
In Shang-Hua Teng's work, theoretical and practical questions have long been intertwined. Now he's turning his focus to the impractical. From ACM Opinion | January 27, 2023
We need to seriously consider how to regulate the use of AI—long before it can replace the functions of tens of millions to billions of people.
ITJungle From ACM Opinion | January 25, 2023
Draft legislation suffers from mission creep, internal contradictions, and a dire lack of clear definitions.Computing From ACM Opinion | January 20, 2023
Exploring Black faculty at computer science research departments where Ph.D. programs exist.
Juan E. Gilbert, Jeremy A. Magruder Waisome, Simone Smarr From Communications of the ACM | February 1, 2023
Companies are moving away from setting qubit records in favor of practical hardware and long-term goals.
MIT Technology Review From ACM Opinion | January 11, 2023
Potential synergies and tensions between neuroscientists and AI researchers in interpreting artificial neural networks.
Nature Machine Intelligence From ACM Opinion | December 30, 2022