Ever wonder why we could write software to get to the Moon, but not to count votes? Here are five reasons.
InfoWorld From ACM Opinion | February 11, 2020
A pervasive belief in software engineering is that some programmers are much better than others, and that their skills, abilities, and talents exert an outsized...Carnegie Mellon University From ACM Opinion | February 4, 2020
In "Towards a Human-like Open-Domain Chatbot", we present Meena, a 2.6-billion-parameter end-to-end trained neural conversational model.
Google AI Blog From ACM Opinion | February 3, 2020
Estimating when the second half of the world will come online.
Carlos Iglesias, Dhanaraj Thakur, Michael L. Best From Communications of the ACM | February 1, 2020
Google AI chief Jeff Dean discusses Google's early work on the use of ML to create semiconductors for machine learning, the impact of Google's BERT on conversational...VentureBeat From ACM Opinion | December 16, 2019
Quantum computing is the first computing paradigm since Turing expected to change the fundamental scaling behavior of algorithms, making certain tasks feasible...The New York Times From ACM Opinion | October 31, 2019
We did not anticipate that the dark side of the Internet would emerge with such ferocity. Or that we would feel an urgent need to fix it.
Los Angeles Times From ACM Opinion | October 29, 2019
How computing platforms and algorithms can potentially either reinforce or identify and address ethnic biases.
Selena Silva, Martin Kenney From Communications of the ACM | November 1, 2019
The UCLA professor and networking pioneer reflects on his career in industry and academia.
George Varghese From Communications of the ACM | November 1, 2019
The UCLA professor and networking pioneer reflects on his career in industry and academia.
George Varghese From Communications of the ACM | November 1, 2019
Google's engineers have succeeded in designing a quantum computer which, for the first time ever, has solved a problem a conventional computer is not able to. Are...finews From ACM Opinion | October 15, 2019
MIT Associate Professor Juejun Hu shines a light on the impact machine learning and AI are having on materials science and engineering.
MIT Materials Research Laboratory From ACM Opinion | October 4, 2019