Home » Uncategorized » Teaching robotics, how economists can learn from Machine Learning & other reads

Teaching robotics, how economists can learn from Machine Learning & other reads

RoubiniWhat Economists Can Learn from Machine Learning

Susan Athey of Stanford University and the NBER discusses the benefits to economics of using machine learning methodology “Machine Learning inspires us to be both systematic and pragmatic.” (The National Bureau of Economic Research)

The gains from technology must be channelled to a broader base of the population

In the years ahead, technological improvements in robotics and automation will boost productivity and efficiency, implying significant economic gains for companies. But, unless the proper policies to nurture job growth are put in place, it remains uncertain whether demand for labour will continue to grow as technology marches forward. (Nouriel Roubini on Economia)

Robot farmer

Agbotic is making an automatized mini-farm run by a robot. The 15,000-square-foot greenhouse’s robot isn’t modeled after a human in anyway.

Startup Agbotic has already designed automated lawn tractors and other projects. The company says the $350,000 robot greenhouses can let farmers easily grow organic vegetables. (Watertown Daily Times)

How to teach … robotics

Ahead of the new school teaching term The Guardian provides a snazzy ‘lesson’ on teaching robotics aimed at inspiring future engineers and computer scientists. (The Guardian)

Economic historian Nathan Rosenberg passed away

I was sad to learn about the passing of my former Professor, Nathan Rosenberg. Professor Rosenberg was one of the wisest economic historians on technological change and the impact of innovation. In addition to his widely read books and papers on economic history he also pioneered the research on uncertainty in innovation and technological change. His work focused on how technological innovation has shaped and been shaped by science, industry, and economics in the twentieth century. (RIP Professor Rosenberg)

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