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A new foundation toward achieving the next generation of artificial intelligence


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. ....

France General , Phui Chen , Nord Pas De Calais , Xie Ming , Nanyang Technological University , World Automation Congress , Technology Alliance , Donghua University , Century Excellent Talent Support Program , Sony Electronics Pte Ltd , International Conference On , Lab In Kumamoto University , Port Of Singapore Authority , Greater Bay Area International Chamber , International Journal Of Industrial Robot , Institute Of Intelligent Systems , Robotics Society Of Singapore , Automation Department Of China Textile University , Automobile Intelligent Transportation Branch , Guest Professor Of Huazhong University Science , Automotive Active Safety Technology Joint Laboratory , Chinese Ministry Of Education , Kumamoto University , University Physics , Edge Perception Technology , Development Center ,

From perceptrons to deep learning


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 ....

Andreas Wichert , Department Of Computer Science , University Of Lisbon , University Of Saarland , Professor At Department Of Computer Science , Department Of Neural Information Processing , University Of Ulm , Neural Networks , Learninga Journey , Deep Learning , Assistant Professor , Computer Science , Neural Information Processing , Artificial Intelligence , Machine Learning , Quantum Cognition , Quantum Artificial , Prof Andreas Wichert , Algorithms Models , Decision Making Problem Solving , Memory Cognitive Processes , Perception Awareness , Technology Engineering Computer Science , Software Engineering , துறை ஆஃப் கணினி அறிவியல் , பல்கலைக்கழகம் ஆஃப் லிஸ்பன் ,

Nanoprinted high-neuron density optical linear perceptrons performing near-infrared inference on a C

Scientists in China present a new nanoscale AI optical circuit trained to perform unpowered all-optical inference at the speed of light for enhanced authentication solutions. By combining smart optical devices with imaging sensors, the scientists empower the sensors to perform complex functions as simply as putting glasses on them, achieving a neural density equal to 1/400 that of human brain and a computational power more than ten orders of magnitude larger than electronic processors. ....

Chinese Academy Of Engineering , University Of Shanghai , Chinese Academy , Technology Engineering Computer Science , Nanotechnology Micromachines , சீன கலைக்கழகம் ஆஃப் பொறியியல் , பல்கலைக்கழகம் ஆஃப் ஷாங்காய் , சீன கலைக்கழகம் , தொழில்நுட்பம் பொறியியல் கணினி அறிவியல் ,

Can't solve a riddle? The answer might lie in knowing what doesn't work


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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. ....

Chantel Prat , Lauren Graham , Andrea Stocco , Uw Royalty Research Fund , Bezos Family Foundation , University Of Washington , Michael Frank At Brown University , Uw Department Of Psychology , Michael Frank , Brown University , Advanced Performance Matrices , Research Fund , Bezos Family , Social Behavioral Science , Decision Making Problem Solving , Memory Cognitive Processes , Technology Engineering Computer Science , Theory Design , சன்டேல் பிரட் , லாரன் கிரஹாம் , ஊவ் ராயல்டி ஆராய்ச்சி நிதி , பல்கலைக்கழகம் ஆஃப் வாஷிங்டன் , மைக்கேல் வெளிப்படையான இல் பழுப்பு பல்கலைக்கழகம் , ஊவ் துறை ஆஃப் உளவியல் , மைக்கேல் வெளிப்படையான , பழுப்பு பல்கலைக்கழகம் ,