Self Study


Self-learning AI emulates the human brain

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The research was led by Marco Zorzi at the University of Padova and funded with a starting grant from the European Research Centre (ERC). The project – GENMOD – demonstrated that it is possible to build an artificial neural network that observes the world and generates its own internal representation based on sensory data. For example, the network was able by itself to develop approximate number sense, the ability to determine basic numerical qualities, such as greater or lesser, without actually understanding the numbers themselves, just like human babies and some animals. "We have shown that generative learning in a probabilistic framework can be a crucial step forward for developing more plausible neural network models of human cognition," Zorzi says. Tests on visual numerosity show the network's capabilities, and offer insight into how the ability to judge the amount of objects in a set emerges in humans and animals without any pre-existing knowledge of numbers or arithmetic.


Self learning chip promises to accelerate artificial learning Robotics Research

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Fully asynchronous neuromorphic many core mesh that supports a wide range of sparse, hierarchical and recurrent neural network topologies with each neuron capable of communicating with thousands of other neurons. Each neuromorphic core includes a learning engine that can be programmed to adapt network parameters during operation, supporting supervised, unsupervised, reinforcement and other learning paradigms. Fully asynchronous neuromorphic many core mesh that supports a wide range of sparse, hierarchical and recurrent neural network topologies with each neuron capable of communicating with thousands of other neurons. Each neuromorphic core includes a learning engine that can be programmed to adapt network parameters during operation, supporting supervised, unsupervised, reinforcement and other learning paradigms.


Intel announces self-learning AI chip Loihi ZDNet

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Intel has announced a neuromorphic artificial intelligence (AI) test chip named Loihi, which it said is aimed at mimicking brain functions by learning from data gained from its environment. The chip has fabrication on Intel's 14nm process tech; 130,000 neurons; 139 million synapses; a fully asynchronous neuromorphic many-core mesh supporting sparse, hierarchical, and recurrent neural network topologies, with neurons capable of communicating with each other; a programmable learning engine for each neuromorphic core; and development and testing of several algorithms for path planning, sparse coding, dictionary learning, constraint satisfaction, and dynamic pattern learning and adaptation. Intel researchers have shown a learning rate 1 million times improved with typical spiking neural sets, he claimed, with 1,000 times more energy efficiency than typical computing used for training systems. CTO of Intel Artificial Intelligence Product Group Amir Khosrowshahi -- who co-founded Nervana Systems, which was purchased by the chip giant in August last year as the central part of Intel's plans for AI -- had in April told ZDNet that the industry needs new architecture for neural networks.


Intel announces self-learning AI chip Loihi

ZDNet

Intel has announced a neuromorphic artificial intelligence (AI) test chip named Loihi, which it said is aimed at mimicking brain functions by learning from data gained from its environment. The chip has fabrication on Intel's 14nm process tech; 130,000 neurons; 139 million synapses; a fully asynchronous neuromorphic many-core mesh supporting sparse, hierarchical, and recurrent neural network topologies, with neurons capable of communicating with each other; a programmable learning engine for each neuromorphic core; and development and testing of several algorithms for path planning, sparse coding, dictionary learning, constraint satisfaction, and dynamic pattern learning and adaptation. Intel researchers have shown a learning rate 1 million times improved with typical spiking neural sets, he claimed, with 1,000 times more energy efficiency than typical computing used for training systems. CTO of Intel Artificial Intelligence Product Group Amir Khosrowshahi -- who co-founded Nervana Systems, which was purchased by the chip giant in August last year as the central part of Intel's plans for AI -- had in April told ZDNet that the industry needs new architecture for neural networks.


Intel's New Self-Learning Chip Promises to Accelerate Artificial Intelligence Intel Newsroom

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The Loihi research test chip includes digital circuits that mimic the brain's basic mechanics, making machine learning faster and more efficient while requiring lower compute power. Compared to technologies such as convolutional neural networks and deep learning neural networks, the Loihi test chip uses many fewer resources on the same task. The self-learning capabilities prototyped by this test chip have enormous potential to improve automotive and industrial applications as well as personal robotics – any application that would benefit from autonomous operation and continuous learning in an unstructured environment. Today, we at Intel are applying our strength in driving Moore's Law and manufacturing leadership to bring to market a broad range of products -- Intel Xeon processors, Intel Nervana technology, Intel Movidius technology and Intel FPGAs -- that address the unique requirements of AI workloads from the edge to the data center and cloud.


Intel introduces an experimental 'self-learning' chip to make robots smarter

Mashable

Called the "Intel Loihi test chip," the processor is what Intel calls a "neuromorphic chip," meaning it's designed to learn from its environment. "The Intel Loihi research test chip includes digital circuits that mimic the brain's basic mechanics, making machine learning faster and more efficient while requiring lower compute power," Michael Mayberry, managing director of Intel Labs, wrote in a statement. This could help computers self-organize and make decisions ... "This could help computers self-organize and make decisions based on patterns and associations." But Intel's approach is different in that the Loihi test chip is designed to work and learn locally on whatever machine it's inside of.



uni.news: Self-Learning Robot Hands

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Thomas Schack's research group, for instance, investigated which characteristics study participants perceived to be significant in grasping actions. In one study, test subjects had to compare the similarity of more than 100 objects. In another study, test subjects' eyes were covered and they had to handle cubes that differed in weight, shape, and size. From one of the monitors, Flobi follows the movements of the hands and reacts to the researchers' instructions.


Self Learning AI Robot Hands

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Researchers at Bielefeld University have developed a grasping learning system based on robotic hands. The system called "Famula" works without knowing the specific characteristics of objects such as pieces of fruit or tools in advance. "Our system learns by trying out and exploring by itself – in the same way that babies approach new objects", says Prof. Dr. Helge Ritter. The grasping learning system was developed as part of the "Famula" large-scale project at Bielefeld University's Cluster of Excellence Cognitive Interaction Technology (CITEC).


Press Release - Imec demonstrates self-learning neuromorphic chip that composes music

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Antwerp (Belgium) – May 16, 2017 – Today, at the imec technology forum (ITF2017), imec, the world-leading research and innovation hub in nano-electronics and digital technologies, demonstrated the world's first self-learning neuromorphic chip. The Imec Technology Forum (ITF) is imec's series of internationally acclaimed events with a clear focus on the technologies that will drive groundbreaking innovation in healthcare, smart cities and mobility, ICT, logistics and manufacturing, and energy. By leveraging our world-class infrastructure and local and global ecosystem of partners across a multitude of industries, we create groundbreaking innovation in application domains such as healthcare, smart cities and mobility, logistics and manufacturing, and energy. Imec is a registered trademark for the activities of IMEC International (a legal entity set up under Belgian law as a "stichting van openbaar nut"), imec Belgium (IMEC vzw supported by the Flemish Government), imec the Netherlands (Stichting IMEC Nederland, part of Holst Centre which is supported by the Dutch Government), imec Taiwan (IMEC Taiwan Co.) and imec China (IMEC Microelectronics (Shanghai) Co. Ltd.) and imec India (Imec India Private Limited), imec Florida (IMEC USA nanoelectronics design center).