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Learning Without a Teacher

Machine learning applications generally rely on supervised learning, learning from training samples that have been labeled by a human ‘teacher’. Unsupervised learning learns what it can from unlabeled training samples. What can be learned this way are basic structural characteristics of the training data, and this information can be a useful aid to supervised learning. In my latest … Continue reading “Learning Without a Teacher”

The Road to Human-Level Natural Language Processing

Language is a hallmark of human intelligence, and Natural Language Processing (NLP) has long been a goal of Artificial Intelligence. The ability of early computers to process rules and look up definitions made machine translation seem right around the corner. However language proved to be more complicated than rules and definitions. The observation that humans … Continue reading “The Road to Human-Level Natural Language Processing”

Encoding Human and Machine Knowledge for Machine Learning

iMerit is a remarkable company of over 4000 people that specializes in annotating the data needed to train machine learning systems. I am writing a series of blogs for them on various aspects of machine learning. In my latest blog I explain how ML systems embody both human intelligence and a form of machine ‘intelligence’. Just as … Continue reading “Encoding Human and Machine Knowledge for Machine Learning”

The Three Edge Case Culprits: Bias, Variance, and Unpredictability

iMerit is a remarkable company of over 4000 people that specializes in annotating the data needed to train machine learning systems. I am writing a series of blogs for them on various aspects of machine learning. In my latest blog I explain how ML systems can be fooled by being either too ‘simple‘, too ‘inexperienced‘, or faced … Continue reading “The Three Edge Case Culprits: Bias, Variance, and Unpredictability”

How Does Mislabeled Training Data Affect ML System Performance?

iMerit is a remarkable company of over 4000 people that specializes in annotating the data needed to train machine learning systems. I am writing a series of blogs for them on various aspects of machine learning. In my latest blog I explain how inaccuracies in training data labels (‘label noise’) affect ML system performance. It turns … Continue reading “How Does Mislabeled Training Data Affect ML System Performance?”

Inside an AI

Artificial intelligence gets its name from the fact that AIs perform tasks associated with human intelligence, such as recognizing faces or understanding language or playing chess. For these tasks, we can measure AI performance and compare it to human performance, using a single ‘yardstick’, such as accuracy or word error rate or games won. But … Continue reading “Inside an AI”

Reason, Emotion, and AI

Human intelligence has always been an inspiration for artificial intelligence. For example, early work in artificial neural networks was inspired by the interconnected axons and dendrites found in biological brains.  Human intelligence also inspires the tasks AI researchers use to benchmark their machines: tasks are defined that require human intelligence, then researchers attemp to build … Continue reading “Reason, Emotion, and AI”

AI and Emergency Management

Artificial Intelligence has found application in many areas, where its particular ability to find patterns in data makes it a useful tool. Let’s look at AI’s application to Emergency Management, a critical activity in today’s world of climate change, pandemics, and social unrest. Emergency Management seeks to minimize the impact, on people and property, of … Continue reading “AI and Emergency Management”

AI’s Superpower

Just putting ‘artificial’ and ‘intelligence’ together in the same term is enough to get people pretty excited. For some, ‘Artificial Intelligence’ can only be a misnomer. True intelligence is uniquely human, biologically evolved, embodied, necessarily shaped by environment and social relationships, non-algorithmic, and unknowable by mere human consciousness. Anything that becomes possible for human-built computers … Continue reading “AI’s Superpower”

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