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.
Engineering
A team of engineers at the University of Massachusetts Amherst has announced the creation of an artificial neuron with electrical functions that closely mirror those of biological ones. Building on their previous work using ...
Sep 30, 2025
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Machine learning & AI
An artificial intelligence tool that can detect tiny, hard-to-spot brain malformations in children with epilepsy could help patients access life-changing surgery quicker, Australian researchers said on Wednesday.
Sep 30, 2025
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Computer Sciences
A new study has uncovered the remarkable potential of biomolecular computing that could provide innovative solutions in next generation of integrated circuits. In their article published in Materials Today Nano, the authors ...
Sep 24, 2025
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Hi Tech & Innovation
One of the major reasons why AI data centers are sucking up so much power is the need to cool processors that run very hot. But Microsoft Corp. is trying out a possible solution: sending fluid directly through tiny channels ...
Sep 24, 2025
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Electronics & Semiconductors
Analog computers, computing systems that represent data as continuous physical quantities, such as voltage, frequency or vibrations, can be significantly more energy-efficient than digital computers, which represent data ...
Electronics & Semiconductors
The rapid development of artificial intelligence (AI) poses challenges to today's computer technology. Conventional silicon processors are reaching their limits: they consume large amounts of energy, the storage and processing ...
Sep 18, 2025
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Electronics & Semiconductors
In brain-computer interfaces (BCIs) and other neural implant systems, electrodes serve as the critical interface and are core sensors linking electronic devices with biological nervous systems. Most currently implanted electrodes ...
Sep 17, 2025
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Hardware
Speech recognition without heavy software or energy-hungry processors: researchers at the University of Twente, together with IBM Research Europe and Toyota Motor Europe, present a completely new approach. Their chips allow ...
Sep 17, 2025
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Electronics & Semiconductors
An artificial neuron made of conductive plastics that can perform advanced functions similar to those of biological nerve cells has been demonstrated by researchers at Linköping University, Sweden. The results, published ...
Sep 17, 2025
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Hardware
A new innovation from Cornell researchers lowers the energy use needed to power artificial intelligence—a step toward shrinking the carbon footprints of data centers and AI infrastructure.
Sep 15, 2025
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