AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner What actually is the most important metric for the success of a machine learning / Artificial Intelligence model? It is accuracy and precision, or bias and variability, or trueness and repeatability of Classifications, binary or multiclass. It should correspond to some reference standard, as data benchmarks for images, audio, speech, text, etc. There could be high accuracy with low precision, low accuracy with high precision, or high accuracy with high precision. But It is disrupted by Real AI, Causal Machine Intelligence and Learning, or Transdisciplinary AI, Trans-AI.

How close are machined to human-like thinking? The day is not far when this question would sound meaningless. Artificial intelligence and neuroscience are augmenting each other like Siamese twins drawing life-blood from each other. Artificial Neural Networks (ANNs), the virtual twins of neurons are capable of simulating human thought processes and it's only a matter of time before they attain thinking capabilities. Though the medical field has made tremendous advances in diagnoses and treatment of mental diseases, neurology has remained a difficult area for medical researchers.

Artificial intelligence is at the top of many lists of the most important skills in today's job market. In the last decade or so we have seen a dramatic transition from the "AI winter" (where AI has not lived up to its hype) to an "AI spring" (where machines can now outperform humans in a wide range of tasks). Having spent the last 25 years as an AI researcher and practitioner, I'm often asked about the implications of this technology on the workforce. I'm quite often disheartened by the amount of disinformation there is on the internet on this topic, so I've decided to share some of my own thoughts. The difference between what I am about to write, and what you may have read before elsewhere is due to an inherent bias.

All this adds up to a fluent and entertaining reading experience. Partly, the research surveyed in this book can already be considered classical; for example, the extensive coverage of human stereo vision is mostly based on Marr's (1982) seminal account of the subject. However, the experimental psychology research that is reviewed in the book is relatively recent. Many of the ideas that Pinker presents have been in the air in evolutionary psychology; particularly influential and much cited in this book are the studies of Cosmides and Tooby (1994). Pinker's own contribution is to boldly combine all these ideas into a united theory of the mind and its origins.

The more we learn about the human mind, the more fascinating it becomes, according to Harvard cognitive scientist Steve Pinker. He's known for his research in evolutionary psychology, or the idea that human nature has adapted over time to improve chances of survival. He's written some bestselling books "How The Mind Works," and "The Blank Slate," and last night answered readers' questions during a fascinating Reddit "Ask Me Anything". We've included some of the highlights below: Here we all are, banging at keyboards and reading squiggles on screens, and somehow we're exchanging ideas about consciousness, hunter-gatherer societies, rape, the meaning of life, and hair-care products (I'll get to that). Of course we're using written language, not to mention computer technology and the Internet, but we could be having the same conversation at a bar, dinner table or seminar room, so it's language itself that is the astounding phenomenon.

Someone across the room throws you a ball and you catch it. Actually, this is one of the most complex processes we've ever attempted to comprehend – let alone recreate. Inventing a machine that sees like we do is a deceptively difficult task, not just because it's hard to make computers do it, but because we're not entirely sure how we do it in the first place. What actually happens is roughly this: the image of the ball passes through your eye and strikes your retina, which does some elementary analysis and sends it along to the brain, where the visual cortex more thoroughly analyzes the image. It then sends it out to the rest of the cortex, which compares it to everything it already knows, classifies the objects and dimensions, and finally decides on something to do: raise your hand and catch the ball (having predicted its path).

A Review of How the Mind Works

Book review of "How the Mind Works, Steven Pinker, W. W. Norton & Co., New York, 1997, 660 pp., $29.90, ISBN 0-393- 04535-8. Book review of "How the Mind Works, Steven Pinker, W. W. Norton & Co., New York, 1997, 660 pp., $29.90, ISBN 0-393- 04535-8.

Book review of "How the Mind Works, Steven Pinker, W. W. Norton & Co., New York, 1997, 660 pp., $29.90, ISBN 0-393- 04535-8.