Category Archives: Human-Machine Interaction

Decision-Centric RPA

Arash Aghlara compares traditional Robotic Process Automation (RPA) with decision-centric RPA when both robots and staff share the logic for repetitive operational business decisions. “Enabling robots to make such decisions is not about technologies like AI, Machine Learning, Neural Networks, Predictive Analytics, etc. … Continue reading

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Decisioning Challenges of Driverless Cars

It is a lot harder to make an autonomous car than to sell the idea to AI-obsessed audiences. Christian Wolmar, the British author and broadcaster, said in this interview: “This is a fantasy that has not been thought through, and … Continue reading

Posted in Artificial Intelligence, Decision Modeling, Human-Machine Interaction, Machine Learning, Trends | 1 Comment

Progress in Natural Language Processing

In August, researchers from the Allen Institute for Artificial Intelligence, a lab based in Seattle, unveiled an English test for computers. It examined whether machines could complete sentences. In October Google researchers unveiled a a new language representation model called Bert. These new language … Continue reading

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The end of the beginning

Benedict Evans, a partner at Andreessen Horowitz, gave a big annual  presentation on the state of tech – ‘the end of the beginning’ at a16z’s annual tech conference on Nov. 16, 2018. “Close to three quarters of all the adults on earth now have … Continue reading

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Intelligent Chatboats for Commercial Interactions

The NY Times Magazine published an article called “INTELLIGENT CHATBOTS COULD AUTOMATE AWAY NEARLY ALL OF OUR COMMERCIAL INTERACTIONS”. Andrew NG tweeted today: “Great article about how chatbots like HiWoebot will be one of the most important applications of NLP. … Continue reading

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Decision Automation and Explanations

Prof. Gene Freuder wrote a position paper “Complete Explanations”: “The position taken here is that it can be worthwhile to start with truly complete explanations and abstract and limit from there. The goal is to provide a high-level “big picture” of … Continue reading

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Google adds accelerated ML to the embedded devices

Coming this fall. Google will offer small, portable versions of its custom machine learning chips, embedded in boards or USB devices. “The Edge TPU is a small ASIC designed by Google that provides high performance ML inferencing for low-power devices. … Continue reading

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