Author Archives: Tarun Mehta

1. Reading Time: <5–10 Mins
2. Summary: : A great supplement to The End of Moore’s Law article. Kelly Clancy, a neuroscientist based in Switzerland, ponders whether the goal of perfecting algorithms to produce more accurate.

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1. Reading Time: <20 Mins
2. Summary: A Must Read. Rodney Brooks provides a detailed and insightful synopsis on what is powering the processing of AI algorithms, and why it’s not Moore’s Law. Warning – some high school math required to make it through the article.

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1. Reading Time: <3 Mins
2. Summary: Geared towards the consumer reader and somewhat skewed towards the sensational, this article is included only for discussion purposes on three high level points. See the member section for these 3 points and post your comments.

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1. Reading Time: <5 Mins
2. Summary: Gary Marcus, professor of psychology and neural science at New York University has an artful way of tapping back the hype with life practical observations. He makes an interesting comment on what it will take to truly advance AI technologies.

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1. Reading Time: <7 Mins
2. Summary: A good read on the state of IBM’s Watson initiative and the hurdles to overcome in the healthcare industry.  What was that line about a supplier’s overly optimistic claims?

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A key point the article makes is the challenge to persuade doctors and patients to trust algorithms that are often so complex that their reasoning cannot be understood. Will patients trust machine algorithms for their diagnosis?

1. Reading Time: <5 Mins
2. Summary: A good overview of how AI will impact certain medical diagnosis in the future

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A key point the article makes is the challenge to persuade doctors and patients to trust algorithms that are often so complex that their reasoning cannot be understood. Will patients trust machine algorithms for their diagnosis?

1. Reading Time: <5 Mins
2. Overview: A quick read on how Canada is competing for market share in AI technologies.  Look at the chart titled “Top Players in the Canadian AI Clusters” to get an idea of the scale and momentum.  Remember, this is a starting point.

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Canada and China are forging ahead with public/private partnerships to be at the forefront of AI technology.  Does America also need some sort of plan to remain a world leader in AI technologies?

1. Reading Time: <5 Mins
2. Overview: This is an article that Paramita authored and underscores the definitions of AI and it’s sub-categories. Natural Language Processing and it’s cousins are nicely supplemented by the WTF is Artificial Intelligence article. The two articles give a comprehensive view of the AI sectors (Algorithms and Speech). Do members have other definitions to add, or clarifications to the existing?