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datePast Year
subjectComputer Systems
authorThe Gradient
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black haircutter and boy in barber's chair
Barbershop Computing
From Communications of the ACM

Moving education beyond computer science pipelines.

Madison C. Allen Kuyenga, Eleanor R. Glover Gladney, Michael Lachney, Marwin McKnight, Theodore S. Ransaw, Dominick Sanders, Aman Yadav | October 1, 2023
At the Boundary of Machine and Mind
From ACM Opinion

At the Boundary of Machine and Mind

An interview with researcher Linus Lee. The Gradient
From ACM Opinion | January 19, 2023
Dense Visual Representations, NeRFs, and LLMs for Robotics
From ACM Opinion

Dense Visual Representations, NeRFs, and LLMs for Robotics

Google research scientist Pete Florence discusses how robotics can benefit from dense visual representations, neural radiance fields, and large language models.... The Gradient
From ACM Opinion | January 5, 2023
Yoshua Bengio: The Past, Present, and Future of Deep Learning
From ACM Opinion

Yoshua Bengio: The Past, Present, and Future of Deep Learning

2018 ACM A.M. Turing Award recipient discusses his career, collaborations, deep learning's promise, and directions for the field. The Gradient
From ACM Opinion | November 22, 2022
Open-Endedness and Evolution through Large Models
From ACM Opinion

Open-Endedness and Evolution through Large Models

A conversation with Joel Lehman, machine-learning scientist formerly of OpenAI and Uber AI Labs. The Gradient
From ACM Opinion | September 23, 2022
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