From Communications of the ACM
Digital innovation is not working in the interest of the whole of society. It is time to radically rethink its purpose without…
Filippo Gualtiero Blancato| March 1, 2024
It's no longer exciting to talk about the rise of non-relational databases, but it's happening all the same.
TechRepublic From ACM Opinion | July 8, 2021
TinyML will change machine-learning best practices by encouraging more developers to view it as a viable option.
Dataconomy From ACM Opinion | July 6, 2021
Clear, non-anthropomorphic language is central to dismantling misconceptions of AI as a black box.
Brookings TechStream From ACM Opinion | June 29, 2021
Efficiency measures are struggling to keep pace with, let alone make headway on, the accelerating demands of modern supercomputers.
HPCWire From ACM Opinion | June 24, 2021
Relational databases aren't dead, but database innovation is cropping up in all sorts of places now, including graph databases.
TechRepublic From ACM Opinion | June 23, 2021
Artificial intelligence can help the electronics industry to speed up chip design. But the gains must be shared equitably.
Nature From ACM Opinion | June 17, 2021
To understand what quantum computers can do—and what they can’t—avoid falling for overly simple explanations.
Quanta Magazine From ACM Opinion | June 10, 2021
Researchers and developers racing to make deep learning available to different applications need to actively seek out and address security challenges before they...TechTalks From ACM Opinion | June 3, 2021
Collaborations between theorists and experimentalists are crucial for accelerating research.Nature Computational Science From ACM Opinion | June 1, 2021
EU regulation of AI could limit the use cases and innovation and put the EU in a technologically inferior position globally.
TechCrunch From ACM Opinion | May 17, 2021
The secret to making a qubit for future quantum computers might depend on knowing how to tie knots in unusual materials, argues quantum physicist Charlie Marcus...Quanta Magazine From ACM Opinion | May 11, 2021
Harvard Medical University Professor Gabriel Kreiman provides an account of how humans and animals process visual data and how far techno come toward replicating...TechTalks From ACM Opinion | May 10, 2021
Exploratory learning, the kind that is exhibited by children, might better inform AI development than the habitual learning processes employed by adults, according...The New York Times From ACM Opinion | May 4, 2021