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.
Energy & Green Tech
Adopting digital twin technology to manage the power consumption of idle devices could save organizations thousands of pounds a year and help reduce their carbon footprint, new research suggests.
Dec 5, 2025
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Engineering
As prominent artificial intelligence (AI) researchers eye limits to the current phase of the technology, a different approach is gaining attention: using living human brain cells as computational hardware.
Dec 4, 2025
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Hardware
Addressing the staggering power and energy demands of artificial intelligence, engineers at the University of Houston have developed a revolutionary new thin-film material that promises to make AI devices significantly faster ...
Dec 2, 2025
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Machine learning & AI
Microsoft just released its latest small language model that can operate directly on the user's computer. If you haven't followed the AI industry closely, you might be asking: what exactly is a small language model (SLM)?
Dec 2, 2025
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Machine learning & AI
Artificial intelligence systems that are designed with a biologically inspired architecture can simulate human brain activity before ever being trained on any data, according to new research from Johns Hopkins University.
Dec 1, 2025
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Electronics & Semiconductors
Dell Technologies Inc., HP Inc. and other tech companies are warning of potential memory-chip supply shortages in the coming year due to soaring demand from the build-out of artificial intelligence infrastructure.
Nov 28, 2025
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Computer Sciences
Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain the criteria AI uses internally to observe and judge images. In particular, technologies that analyze ...
Nov 26, 2025
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Hardware
A team led by the BRAINS Center for Brain-Inspired Computing at the University of Twente has demonstrated a new way to make electronic materials adapt in a manner comparable to machine learning. Their study, published in ...
Nov 24, 2025
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Hardware
The ability to analyze the brain's neural connectivity is emerging as a key foundation for brain-computer interface (BCI) technologies, such as controlling artificial limbs and enhancing human intelligence. To make these ...
Nov 21, 2025
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Electronics & Semiconductors
By studying the theoretical limits of how light can be used to perform computation, Cornell researchers have uncovered new insights and strategies for designing energy-efficient optical computing systems.
Nov 20, 2025
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