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Interesting AI/ML Articles You Should Read This Week (July 4)

#artificialintelligence

Would you let a machine learning model that has a failure rate of 98% and a false positive rate of 81% into production? Well, these claimed performance figures are from a facial recognition system that is in use by the policing force in South Wales and other parts of the United Kingdom. Dave Gershgorn article starts with a description akin to the setting of a dystopian future where an overseeing governing system monitors everyone; which is hysterically a foreshadowing of a foreseeable future. South Wales Police have been using facial recognition systems since 2017 and have done this in no secrecy from the public. They've made arrests as a result of the facial recognition system.


Interesting AI/ML Articles You Should Read This Week (July 4)

#artificialintelligence

This week I came across several articles that challenge the development and utilization of AI-based system across several domains. This week I came across several articles that challenge the development and utilization of AI-based system across several domains. I've never had to genuinely reflect on the philosophical and legal aspects of my contributions as a machine learning practitioner, but this has changed after reading some interesting articles that present the consequences of AI advancement that are happening now, and those that are yet to happen. Our lives today could look entirely different tomorrow. Would you let a machine learning model that has a failure rate of 98% and a false positive rate of 81% into production?


Career Alert, September 1

@machinelearnbot

Python Overtakes R for Data Science and Machine Learning This article summarizes a trend in programming languages usage, based on a number of proxy metrics. This change started to be more pronounced in early 2017: Python became the language of choice, over R, for data science and machine learning applications. Python Overtakes R for Data Science and Machine Learning This article summarizes a trend in programming languages usage, based on a number of proxy metrics. This change started to be more pronounced in early 2017: Python became the language of choice, over R, for data science and machine learning applications.


Quantum AI and Machine Learning

#artificialintelligence

Sign in to report inappropriate content. We provide an overview of Quantum AI and Machine Learning, the synthesis of AI and quantum computing. Whereas conventional Machine Learning is based on probabilities, its quantum counterpart replaces these with amplitudes resulting in a much more sophisticated decision-making. Potential applications include financial analysis, pharmaceutical design, and autonomous driving.