Communications of the ACM
From ACM Opinion
Three Key Takeaways from Meta's Galactica AI
We should look at Galactica's initial failure as another scientific experiment, one that can bring us one step closer to success.
From ACM Opinion
How to Solve AI's 'Common-Sense' Problem
AI systems without common sense will make mistakes when they reach the limits of where they've been trained.
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
Can Large Language Models Be Democratized?
The very nature of large language models is undemocratic and in favor of the companies that publicize them.
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
Meta's Yann LeCun on His Vision for Human-level AI
Rather than try to replace natural intelligence, create AI that is compatible with human intelligence
From ACM Opinion