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dateMore Than a Year Ago
subjectComputers And Society
authorTechTalks
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How to Solve AI's 'Common-Sense' Problem
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.

Intro to Model-Free and Model-Based Reinforcement Learning
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.

Democratize Machine Learning with No-Code AI
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.

Humans Should Be at the Center of AI
From ACM Opinion

Humans Should Be at the Center of AI

Human-centered AI aims to reduce fears of existential threats and increase benefits for users and society.

Understanding the Differences Between Biological and Computer Vision
From ACM Opinion

Understanding the Differences Between Biological and Computer Vision

Harvard Medical University Professor Gabriel Kreiman provides an account of how humans and animals process visual data and how far techno come toward replicating...
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