Dec 04, 2019

8 Posts

Solar panels
Dec 04, 2019

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.
Information related to Bias-Resilient Neural Network (BR-Net)
Dec 04, 2019

Bias Fighter

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.
Ancient geoglyph analysed by AI
Dec 04, 2019

Prehistoric Pictures Rediscovered

Image analysis guided by AI revealed a 2,000-year-old picture dug into the Peruvian desert. Researchers analyzing aerial imagery shot over Peru found a pattern that looks like a three-horned humanoid holding a staff.
Information related to Explainable AI (xAI)
Dec 04, 2019

Google's AI Explains Itself

Google's AI platform offers a view into the mind of its machines. Explainable AI (xAI) tools show which features exerted the most influence on a model’s decision, so users can evaluate model performance and potentially mitigate biased results.
Information about a model for multi-document summarization and question answering
Dec 04, 2019

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 addresses this problem.
AlphaGo playing Go with Lee Sedol
Dec 04, 2019

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.
Andrew Ng holding a sweatshirt that says "Trust the robot"
Dec 04, 2019

The Batch: 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.
Andrew Ng holding a sweatshirt that says "Trust the robot"
Dec 04, 2019

Building Trustworthy AI

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.

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