Neuromorphic AI hardware encompasses brain-inspired computing systems that implement neural network primitives directly in physical substrates to achieve extreme energy efficiency and low latency. Architectures use devices such as memristors, magnetic tunnel junctions, electrochemical memories, photonic and microwave components, and organic or superconducting neurons to realize synapses, neurons, and compute-in-memory operations. These platforms support spiking and analog neural computation, on-chip learning, and specialized sensory and cognitive functions, targeting applications from edge intelligence and autonomous systems to large-scale AI acceleration and brain–computer interfaces.
Computer Sciences
A group of computer scientists at Microsoft Research, working with a colleague from the University of Chinese Academy of Sciences, has introduced Microsoft's new AI model that runs on a regular CPU instead of a GPU. The researchers ...
Hardware
Space is a highly volatile environment. Factors like radiation, extreme temperatures, and debris make outer space a challenging environment for operating technology. In particular, radiation can have devastating effects on ...
Apr 17, 2025
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Hardware
Penn Engineers have developed the first programmable chip that can train nonlinear neural networks using light—a breakthrough that could dramatically speed up AI training, reduce energy use and even pave the way for fully ...
Apr 15, 2025
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Hi Tech & Innovation
Neural networks are one typical structure on which artificial intelligence can be based. The term "neural" describes their learning ability, which to some extent mimics the functioning of neurons in our brains. To be able ...
Apr 14, 2025
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Engineering
Georgia Tech researchers have developed an almost imperceptible microstructure brain sensor to be inserted into the minuscule spaces between hair follicles and slightly under the skin. The sensor offers high-fidelity signals ...
Apr 12, 2025
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Hardware
The emergence of AI has profoundly transformed numerous industries. Driven by deep learning technology and Big Data, AI requires significant processing power for training its models. While the existing AI infrastructure relies ...
Apr 10, 2025
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Hardware
Computer chips that combine the use of light and electricity are shown to increase computational performance, while reducing energy consumption, compared with conventional electronic chips. The photonic computing chips, described ...
Apr 9, 2025
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Electronics & Semiconductors
On April 1, 2025, the Taiwanese manufacturer TSMC introduced the world's most advanced microchip: the 2 nanometer (2nm) chip. Mass production is expected for the second half of the year, and TSMC promises it will represent ...
Apr 7, 2025
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Hi Tech & Innovation
Researchers have developed "infomorphic neurons" that learn independently, mimicking their biological counterparts more accurately than previous artificial neurons. A team of researchers from the Göttingen Campus Institute ...
Mar 31, 2025
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Engineering
A brain implant using artificial intelligence was able to turn a paralyzed woman's thoughts into speech almost simultaneously, US researchers said Monday.
Mar 31, 2025
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