neuromorphic chip


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neuromorphic chip

A processor chip designed like the human brain rather than the traditional, sequential von Neumann architecture. Such chips are expected to greatly accelerate artificial intelligence (AI) applications in the future. In 2016, Qualcomm introduced its Zeroth Machine Intelligence Platform and Snapdragon Neural Processing Engine that enable mobile devices to run their own neural network models rather than going to the cloud. See neural network, deep learning and von Neumann architecture.
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Neuromorphic chips facilitate users with several benefits such as high-performance speed, cognitive computing, optimum usage of memory, and low power consumption.
A current goal of AI research is to take what it learns about the brain and place it on neuromorphic chips (i.
Artificial neural networks used in neuromorphic chips do not need to eat or sleep, but they generate heat and consume power at a large scale.
Qualcomm demonstrated a small robot powered by a neuromorphic chip and specialized software that simulate the activity in the brain.
By contrast, neuromorphic chips process sensory data, such as images and sound, and respond to changes in data in ways not specifically programmed.
At the same time, Google has built its own "Tensor Processing Unit" (TPU) that it strictly uses in its own data centers, and IBM has a neuromorphic chip dubbed "True North.
At HRL this summer, principal research scientist Narayan Srinivasa plans to test a neuromorphic chip in a bird-size device from AeroVironment that will be flown around a couple of rooms.
Neuromorphic chips attempt to model in silicon the massively parallel way the brain processes information as billions of neurons and trillions of synapses respond to sensory inputs such as visual and auditory stimuli.
Mead finally built his first neuromorphic chips, as he christened his brain-inspired devices, in the mid-1980s, after collaborating with neuroscientists to study how neurons process data.
She's also collaborating with leading research groups from a number of universities fabricating neuromorphic chips and sensors.
Neuromorphic chips are currently the most likely way of actually getting such of jobs done.
Neuroinformatics researchers from the University of Zurich and ETH Zurich have now made a breakthrough in this direction by understanding how to configure so-called neuromorphic chips to imitate the brain's information processing abilities in real-time.