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Category: robotics/AI

Before an A.I. system can learn, someone has to label the data supplied to it. Humans, for example, must pinpoint the polyps. The work is vital to the creation of artificial intelligence like self-driving cars, surveillance systems and automated health care.

Artificial intelligence is being taught by thousands of office workers around the world. It is not exactly futuristic work.

At iMerit offices in Kolkata, India, employees label images that are used to teach artificial intelligence systems. Credit Credit Rebecca Conway for The New York Times.

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Last month, Elon Musk’s Neuralink, a neurotechnology company, revealed its plans to develop brain-reading technology over the next few years. One of the goals for Musk’s firm is to eventually implant microchip-devices into the brains of paralyzed people, allowing them to control smartphones and computers.

Although this Black Mirror-esque technology could hold potentially life-changing powers for those living with disabilities, according to Cognitive Psychologist Susan Schneider, it’s not such a great idea, and I can’t help but feel relieved, I’m with Schneider on this.

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https://www.youtube.com/watch?v=TJrf8K_myAw

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In the past few videos in this series, we have delved quite deep into the field of machine learning, discussing both supervised and unsupervised learning.

The focus of this video then is to consolidate many of the topics we’ve discussed in the past videos and answer the question posed at the start of this machine learning series, the difference between artificial intelligence and machine learning!

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Iron Ox has just opened its first fully automated farm in San Carlos, California. The company claims that their hydroponic system can produce 30 times the yield per acre of land comparing to traditional farms, while using 90% less water.

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