Today thanks to Artificial Intelligence – machines engineered to have human-like intelligence – Siri answers our questions, Safety Sense 2.0 drives our Toyotas, cultures are bridged by Google Translate, and AlphaGo is the world champion of Go, a 2500-year-old game with more move choices than the number of atoms in the observable universe.
“It is difficult to think of a major industry that AI will not transform. This includes healthcare, education, transportation, retail, communications, and agriculture.”Andrew Ng: Founder Google Brain and deeplearning.ai; Adjunct Professor, Stanford University
Based in the Portland, Oregon area, Thinking Teams consults with decision makers and organizations in the US and internationally. We help our clients navigate opportunities and risks presented by the development and use of advanced AI technologies.
- What is AI? What can it do? What can’t it do?
- How will AI change the world of work?
- How can AI and people best complement each other?
- What are the opportunities, challenges, and risks introduced by AI?
With broad and deep experience in AI technologies and an extensive background in organizational leadership and consulting, we work with our clients to co-create organizations founded on clear vision, open and respectful communication, effective collaboration, wholeheartedness, and where human and machine intelligence work in harmony.
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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”
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”