Is AI Making Mastery Obsolete?
Is there any reason to continue playing games that AI has mastered? Ask the former champions who have been toppled by machines.What happened: In 2016, International Go master Lee Sedol famously lost
Bigger Corpora, Better Answers
Models that summarize documents and answer questions work pretty well with limited source material, but they can slip into incoherence when they draw from a sizeable corpus. Recent work by Facebook AI Research and
Google's AI Explains Itself
Google's AI platform offers a view into the mind of its machines.What’s new: Explainable AI (xAI) tools show which features exerted the most influence on a model’s decision, so users can evaluate model
Prehistoric Pictures Rediscovered
Image analysis guided by AI revealed a 2,000-year-old picture dug into the Peruvian desert.What happened: Researchers analyzing aerial imagery shot over Peru found
Sophisticated models trained on biased data can learn discriminatory patterns, which leads to skewed decisions. A new solution aims to prevent neural networks from making decisions based on common biases.
Solar Power Heats Up
Solar-thermal power plants concentrate the sun’s energy using huge arrays of mirrors. AI is helping those arrays stay in focus.What happened: Heliogen, a solar-thermal startup, developed a computer
Google AI Explains Itself, Neural Net Fights Bias, AI Demoralizes Champions, Solar Power Heats Up
Recently I wrote about major reasons why AI projects fail, such as small data, robustness, and change management. Given that some AI systems don't work, users and customers sometimes rightly wonder whether they should trust an AI system.