Communications of the ACM
Innovation Is Overrated: A Provocation
Digital innovation is not working in the interest of the whole of society. It is time to radically rethink its purpose without…
From ACM Opinion
Intro to Model-Free and Model-Based Reinforcement Learning
Neuroscientist and author Daeyeol Lee talks reinforcement learning in humans and animals, AI and natural intelligence, and more.
From ACM Opinion
'Sentience' Is the Wrong Discussion to Have on AI Right Now
A more important conversation would be one about human compatibility and trust.
From ACM Opinion
Democratize Machine Learning with No-Code AI
Organizations lacking skilled data scientists and ML engineers can create and deploy ML models, too.
From ACM Opinion
DeepMind AlphaCode Does Not Compare to Human Programmers
Human programmers are in control but they must learn to harness the power and limits of AI-generated code
From ACM Opinion
Does AI Understand Our Language?
Can large language models teach us about the nature of language, understanding, intelligence, sociality, and personhood?
From ACM Opinion
A Developer's Guide to Machine-Learning Security
Countering adversarial attacks means understanding the different types as well as the ML weak spots
From ACM Opinion
What OpenAI and GitHub's AI Pair Programmer Means for the Software Industry
AI-powered code generator provides some interesting hints about the business of large language models and the future of the software industry.
From ACM Opinion