Researchers from Kanazawa University developed a new test for dementia and mild cognitive impairment. The computerized assessment battery for cognition (C-ABC) was able to accurately discriminate mild cognitive impairment from normal cognition, and also distinguish dementia from mild cognitive impairment and normal cognition, and took only 5 minutes to complete. This test could increase the early detection of dementia, thus improving treatment options and outcomes for this patient group.
We don t intuitively understand how to think enjoyable thoughts. But when researchers provided participants with a list of examples that were pleasant and meaningful, they enjoyed thinking 50% more than when they were instructed to think about whatever they wanted.
Credit: World Scientific
Human beings are living inside an ocean of signals. These signals enable human beings to demonstrate intelligence. Similarly, machines are also surrounded by signals. Artificial intelligence (AI) or machine intelligence has become a hot topic for many decades due to the high expectation of the public on the emergence of smart machines and smart products.
However, the AI research community is still struggling to determine the foci of machine intelligence. For instance, the low-level focus of AI is to advocate computer-aided human intelligence. We believe that the more challenging focus should aim at creating machines that can achieve human-like self-intelligence by themselves.
Credit: World Scientific
Have you ever wondered if it s possible to learn all there is to know about machine learning and deep learning from a book?
Machine Learning A Journey to Deep Learning, with Exercises and Answers is designed to give the self-taught student a solid foundation in machine learning with step-by-step solutions to the formative exercises and many concrete examples. By going through this text, readers should become able to apply and understand machine learning algorithms as well as create new ones.
The main parts of the book address linear and nonlinear regression, supervised learning, learning theory, feature extraction and unsupervised learning. The statistical approach leads to the definition of regularization out of the example of regression. Building on regression, we develop the theory of perceptrons and logistic regression. The book investigates the relation between bias and variance as a consequence of a finite training sample set that is used in machine
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Credit: Kiyomi Taguchi/U. of Washington
Ever get stuck trying to solve a puzzle?
You look for a pattern, or a rule, and you just can t spot it. So you back up and start over.
That s your brain recognizing that your current strategy isn t working, and that you need a new way to solve the problem, according to new research from the University of Washington. With the help of about 200 puzzle-takers, a computer model and functional MRI (fMRI) images, researchers have learned more about the processes of reasoning and decision-making, pinpointing the brain pathway that springs into action when problem-solving goes south.