Thursday, October 14, 2021

g-f(2)566 THE BIG PICTURE OF THE DIGITAL AGE (10/14/2021), MIT News, These neural networks know what they’re doing

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"g-f" fishing of golden knowledge (GK) of the fabulous treasure of the digital ageArtificial Intelligence, Machine Learning (10/14/2021)  g-f(2)426 


These neural networks know what they’re doing, MIT News

      • Researchers at MIT have now shown that a certain type of neural network is able to learn the true cause-and-effect structure of the navigation task it is being trained to perform. Because these networks can understand the task directly from visual data, they should be more effective than other neural networks when navigating in a complex environment, like a location with dense trees or rapidly changing weather conditions.
      • In the future, this work could improve the reliability and trustworthiness of machine learning agents that are performing high-stakes tasks, like driving an autonomous vehicle on a busy highway.
      • “Because these machine-learning systems are able to perform reasoning in a causal way, we can know and point out how they function and make decisions. This is essential for safety-critical applications,” says co-lead author Ramin Hasani, a postdoc in the Computer Science and Artificial Intelligence Laboratory (CSAIL).
      • Neural networks are a method for doing machine learning in which the computer learns to complete a task through trial-and-error by analyzing many training examples. And “liquid” neural networks change their underlying equations to continuously adapt to new inputs.
      • In the future, the researchers want to explore the use of NCPs (Neural Circuit Policy) to build larger systems. Putting thousands or millions of networks together could enable them to tackle even more complicated tasks.
      • This research was supported by the United States Air Force Research Laboratory, the United States Air Force Artificial Intelligence Accelerator, and the Boeing Company.

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                          The Big Picture of Business Artificial Intelligence (3/3/2021) in a Single “g-f KBP” Chart, geniouxfacts

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                          • Most of the AI deployed today, while novel and impressive, still falls under a category of “specialized AI.”
                          • Artificial general intelligence (AGI), the idea of a truly artificial human-like brain, remains a topic of deep research interest but a goal that experts agree is far in the future.
                          • The ability to adapt to entirely novel situations is still an enormous challenge for AI and robotics, a key reason for companies’ continued reliance on human workers for a variety of tasks.
                          • From a work perspective, these technologies tend to be task oriented, that is they execute limited sets of tasks, more than the full set of activities comprising an occupation.

                                    g-f(2)153 The Big Picture of Business Artificial Intelligence (3/3/2021) in a Single “g-f KBP” Chart. This "genioux fact" is a knowledge block made up of 10 blocks of “genioux fact". 

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                                    AI in Its Current State Is Already Wonderful, geniouxfacts

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                                    • Category 2: The Big Picture of the Digital Age
                                    • [genioux fact deduced or extracted from MIT News]
                                    • This is a “genioux fact fast solution.”
                                    • Tag Opportunities those travelling at high speed on GKPath
                                    • Type of essential knowledge of this “genioux fact”: Essential Analyzed Knowledge (EAK).
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                                      • Inherited from sources + Supported by the knowledge of one or more experts.


                                    “genioux facts”: The online programme on MASTERING “THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)566, Fernando Machuca, October 14, 2021, Corporation.

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