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Neuromorphic memory device simulates neurons and synapses: Simultaneous emulation of neuronal and synaptic properties promotes the development of brain-like artificial intelligence

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Neuromorphic computing aims to realize artificial intelligence (AI) by mimicking the mechanisms of neurons and synapses that make up the human brain. Inspired by the cognitive functions of the human brain that current computers cannot provide, neuromorphic devices have been widely investigated. However, current Complementary Metal-Oxide Semiconductor (CMOS)-based neuromorphic circuits simply connect artificial neurons and synapses without synergistic interactions, and the concomitant implementation of neurons and synapses still remains a challenge. To address these issues, a research team led by Professor Keon Jae Lee from the Department of Materials Science and Engineering implemented the biological working mechanisms of humans by introducing the neuron-synapse interactions in a single memory cell, rather than the conventional approach of electrically connecting artificial neuronal and synaptic devices. Similar to commercial graphics cards, the artificial synaptic devices previously studied often used to accelerate parallel computations, which shows clear differences from the operational mechanisms of the human brain.


How can artificial intelligence understand time and space?

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Time and space are fundamental to the existence of the universe, and human intelligence is our tool for navigating time and space in an appropriate manner. Our ability to see the future is critical. Through evolution, the human brain has evolved into a tool that perceives not only time, place, and things, but our neural network also predicts what will happen in the near future. What kind of path will the stone that you throw take? In which direction does the tree fall?


AI Hardware Technology Imitates Changes in Neural Network Topology

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A group of researchers at The Korea Advanced Institute of Science and Technology (KAIST) has proposed a new system inspired by the neuromodulation of the brain, which is called a "stashing system." This newly proposed system requires less energy consumption.


The meeting of artificial intelligence and health

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Food technology is rapidly permeating our daily lives. From food cultivation to distribution, cooking and food intake, there is no stage that is not affected by artificial intelligence: Food Tech. In the United States, it is so popular that famous entrepreneurs and stars such as Bill Gates and Leonardo DiCaprio invest in food technology companies. In fact, the popularity of artificial intelligence in the food field is a trend not only in the United States, but also in the global industry. Food history is information from production to distribution of food, and it can be said that it is information needed to make food safe.


Gato And Artificial General Intelligence

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The latest breakthrough is the transformer model. Before this, to take account of temporal correlations, we needed to use recurrent neural networks, which were much more difficult to train and much less successful. When they worked they worked wonders, but most of the time it was better to avoid such an architecture. Then the idea of attention was invented and a number of different language models making use of it started to change the way we think about neural networks. So much so that they were renamed "foundational models" and are taken by one faction to be the future of AI and by the remaining faction as being nothing but a magic trick with no substance.


Top 10 AI graduate degree programs

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Artificial Intelligence (AI) is a fast-growing and evolving field, and data scientists with AI skills are in high demand. The field requires broad training involving principles of computer science, cognitive psychology, and engineering. If you want to grow your data scientist career and capitalize on the demand for the role, you might consider getting a graduate degree in AI. U.S. News & World Report ranks the best AI graduate programs at computer science schools based on surveys sent to academic officials in fall 2021 and early 2022. Here are the top 10 programs that made the list as having the best AI graduate programs in the US.


Cranberries could improve memory and ward off dementia

Daily Mail - Science & tech

Eating a small bowl of cranberries every day could help ward off dementia, research suggested today. Scientists tested giving healthy older adults the equivalent of 100g of the fruit each day. Volunteers who ate a powdered version of the fruit -- which has a notoriously bitter taste -- were found to have a better memory recall after 12 weeks. And MRI scans showed those eating cranberries had better blood flow to important parts of the brain. People given cranberries also had 9 per cent lower bad cholesterol levels, according to the University of East Anglia study.


Human-Centered AI, book review: A roadmap for people-first artificial intelligence

ZDNet

About 20 years ago, I sat next to University of Maryland professor Ben Shneiderman at a conference dinner. We spent the time discussing twin software paradigms: in one, what we now call'smart' software tried to guess our intentions, making its response annoyingly unpredictable; in the other, software with no adaptability did what it was told according to instructions that had to be precisely right. The hot future of the day was software agents that would negotiate on our behalf to get better prices on airline tickets and find mutually agreeable slots in which to schedule meetings. As Shneiderman writes in his new book, Human-Centered AI, he's somewhat modified his stance in the intervening years, giving greater weight to ending the tedium of performing the same tasks over and over. However, he remains sceptical that AI will surpass or successfully imitate human intelligence -- scepticism that extends to new, highly contested applications such as emotion detection. What is important to Shneiderman, then and now, is designing computer systems so they put the user at the centre.


Look behind the curtain: Don't be dazzled by claims of 'artificial intelligence'

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We are presently living in an age of "artificial intelligence" -- but not how the companies selling "AI" would have you believe. According to Silicon Valley, machines are rapidly surpassing human performance on a variety of tasks from mundane, but well-defined and useful ones like automatic transcription to much vaguer skills like "reading comprehension" and "visual understanding." According to some, these skills even represent rapid progress toward "Artificial General Intelligence," or systems which are capable of learning new skills on their own. Given these grand and ultimately false claims, we need media coverage that holds tech companies to account. Far too often, what we get instead is breathless "gee whiz" reporting, even in venerable publications like The New York Times.