AI in Action: Banishing traffic, Steadying gaits and Saving Whales

Perceptron AI saves whales and bans traffic
The amount of research in machine learning and AI is too vast for anyone to be able to read. It’s a technology that has become a standard in almost every industry. Perceptron is a column that collects some of the latest discoveries and papers, especially in artificial intelligence, and explains why they are important.

Researchers at MIT recently published their research on a system that tracks the progression of Parkinson’s patients through the continuous monitoring of their gait speed. Whale Safe, an initiative spearheaded by Benioff Ocean Sciences Laboratory and its partners, has launched buoys with AI-powered sensors as part of an experiment designed to stop ships from hitting whales. Machine learning has also been used to advance other aspects of ecology, including academics.

The MIT Parkinson’s tracking effort aims at helping clinicians overcome the challenges of treating the estimated 10,000,000 people worldwide who are afflicted with the disease. The motor and cognitive abilities of Parkinson’s disease patients are typically evaluated during clinic visits. However, these results can be affected by external factors such as fatigue. The fact that many patients find the prospect of commuting into an office too daunting makes their situation even worse.

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Perceptron: AI saving whales, steadying gaits and banishing traffic