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.
Machine learning & AI
Artificial intelligence is becoming increasingly important in nearly every aspect of society, but is completely dominated by the United States and China. Leaving the field to foreign powers and large companies may entail ...
Apr 15, 2026
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Electronics & Semiconductors
Northwestern University engineers printed artificial neurons that don't just imitate the brain—they talk to it. In a new study, the Northwestern team developed flexible, low-cost devices that generate electrical signals realistic ...
Apr 15, 2026
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Engineering
Published in Nature Communications, researchers from St. Olaf College and Syracuse University built a computer made entirely of mechanical components that can perform simple computations without electricity or batteries.
Apr 13, 2026
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Computer Sciences
There is an exciting future on the horizon—one in which your thoughts could directly control electronic devices you use every day. In many ways, that future is already here, enabled by neural interfaces—engineered devices ...
Apr 12, 2026
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Software
A new hardware-software co-design increases AI energy efficiency and reduces latency, enabling real-time processing of continuous data streams like video or sensor feeds. The neuromorphic approach unlocks the ability to run ...
Apr 11, 2026
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Hardware
A cross-institutional research team has developed Co-Located Authentication and Processing (CLAP), a privacy-preserving system that overcomes the trade-off between security and performance in edge computing devices. The study, ...
Apr 6, 2026
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Computer Sciences
One of the most influential scientific and philosophical viewpoints is "More is Different," introduced in 1972 by Nobel Prize–winning physicist Philip W. Anderson, highlighting the limitations of the reductionist approach. ...
Apr 3, 2026
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Hi Tech & Innovation
A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously carried out by artificial ...
Apr 3, 2026
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Hardware
In a recent study published in Nature Communications, researchers created a memristor that uses a built-in oxygen gradient to produce slow, stable conductance changes, enabling a reinforcement learning (RL) algorithm to learn ...
Hardware
A new type of computer chip that uses the physics of materials to process information could make some artificial intelligence (AI) systems far more energy efficient, researchers have found. Loughborough University physicists ...
Apr 2, 2026
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