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.
Hardware
A new approach to computing has quietly taken shape at Sandia National Laboratories, where researchers have developed a way to store information that could make future electronics more energy efficient.
Sep 9, 2026
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23
Machine learning & AI
In project CONVOLVE, researchers successfully used new chip-design techniques to develop powerful AI computing chips close to where data is generated and used, often referred to as edge computing.
Sep 8, 2026
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Electronics & Semiconductors
A working prototype that can see, remember and interact with the world like the human brain could one day underpin smart bionic eyes while using far less energy than today's technologies. The invention from RMIT University ...
Sep 8, 2026
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Hardware
Researchers in the Department of Electrical and Computer Engineering of the Faculty of Engineering and the Centre for Advanced Semiconductors and Integrated Circuits (CASIC) at the University of Hong Kong (HKU) have made ...
Sep 8, 2026
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Computer Sciences
Researchers from the University of Warwick report that how faithfully we can build a "digital twin" of a human brain depends not only on computing power but fundamentally on how much of the living brain we can measure, validate ...
Sep 1, 2026
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Hi Tech & Innovation
Arco Bast studies how neurons communicate. Earlier this year, the Janelia postdoc encountered a more mechanical version of the same problem: The components of his custom microscope could not easily communicate with one another.
Aug 28, 2026
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Hardware
Texas engineers teamed up with the world's largest semiconductor foundry to fabricate and test an emerging memory technology that could help meet the increasing energy demand of artificial intelligence.
Aug 28, 2026
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55
Electronics & Semiconductors
In electronic devices, irregular fluctuations in signals are generally referred to as "noise." Because noise interferes with accurate information processing, conventional semiconductor technology has mainly treated it as ...
Aug 17, 2026
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Hardware
Researchers in the Riccio College of Engineering at the University of Massachusetts Amherst have demonstrated that redesigning both hardware and algorithms can make AI applications on edge devices more efficient. As proof ...
Aug 17, 2026
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25
Hardware
A new semiconductor integration platform developed at the Institute of Science Tokyo combines advanced chip packaging with high-density interconnects and improved thermal management. This combination of three complementary ...
Aug 12, 2026
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