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
Human brains are great at sorting through a barrage of sensory information—like discerning the smell of tomato sauce upon stepping into a busy restaurant—but artificial intelligence systems are challenged by large bursts ...
May 21, 2025
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Machine learning & AI
Could AI that thinks more like a human be more sustainable than today's LLMs? The AI industry is dominated by large companies with deep pockets and a gargantuan appetite for energy to power their models' mammoth computing ...
May 20, 2025
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Hardware
A new AI chip developed at the Technical University of Munich (TUM) works without the cloud server or internet connections needed by existing chips. The AI Pro, designed by Prof Hussam Amrouch, is modeled on the human brain. ...
May 19, 2025
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Machine learning & AI
Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations—it's a triumph of your associative memory, in which one piece of information (the first few notes) triggers the memory ...
May 14, 2025
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Electronics & Semiconductors
Engineers at RMIT University have invented a small "neuromorphic" device that detects hand movement, stores memories and processes information like a human brain, without the need for an external computer.
May 12, 2025
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Hardware
Oregon State University College of Engineering researchers have developed a more efficient chip as an antidote to the vast amounts of electricity consumed by large-language-model artificial intelligence applications like ...
May 8, 2025
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Computer Sciences
Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a novel artificial intelligence (AI) model inspired by neural oscillations in the brain, with the goal of significantly ...
Apr 28, 2025
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Energy & Green Tech
A landmark international collaboration led by Newcastle University has developed the world's most efficient integrated light-harvesting and storage system for powering autonomous Artificial Intelligence (AI) at the edge of ...
Apr 28, 2025
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Hardware
As artificial intelligence (AI) continues to advance, researchers at POSTECH (Pohang University of Science and Technology) have identified a breakthrough that could make AI technologies faster and more efficient.
Apr 25, 2025
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Hardware
In a new Nature Communications study, researchers have developed an in-memory ferroelectric differentiator capable of performing calculations directly in the memory without requiring a separate processor.
