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
When designing new computer chips, engineers need to make various decisions about how to connect their underlying components while efficiently using limited space. Planning these connections involves combinatorial optimization, ...
Electronics & Semiconductors
Neuromorphic devices, which are designed to emulate aspects of biological neural networks, are promising candidates for low-power, intelligent sensing technologies, including wearable applications.
Sep 28, 2026
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Hardware
For a wearable device to distinguish walking from a brief swing of the arm, it must recognize how movement changes over time. Korean researchers have developed a technology that stacks semiconductor devices with different ...
Sep 28, 2026
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Hardware
When we read a car's license plate, we tend to focus on the numbers and letters, paying little attention to the surrounding buildings or sky. An artificial-intelligence (AI) system, however, may still process those surrounding ...
Sep 25, 2026
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Computer Sciences
A new AI technology has been developed that retains and reuses knowledge, much like writing down a solution in a notebook and applying it to similar problems rather than asking an expert for help each time.
Sep 21, 2026
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Hardware
Digital computing using silicon chips has transformed nearly every aspect of modern life and enabled the remarkable growth of artificial intelligence. But as AI models scale up, that growth comes with increasing demands for ...
Sep 21, 2026
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Computer Sciences
Right now, your brain is recognizing the shapes of these letters, analyzing their meaning and holding a stream of thought together—all on about 20 watts of power. That's roughly what it takes to run a light bulb.
Sep 16, 2026
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Computer Sciences
MIT researchers have created a computing platform that could be used to develop intelligent and adaptive next-generation electronics that can perform multiple functions, like computing and memory, within one extremely compact, ...
Sep 16, 2026
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Computer Sciences
Researchers at Maynooth University (MU) have developed a first-of-its-kind DNA computer, described as one of the most complex and fastest molecular computers yet reported.
Sep 16, 2026
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Energy & Green Tech
Can computers use less energy without compromising performance? That's what computer scientists Ben van Werkhoven and Rob van Nieuwpoort from the Leiden Institute of Advanced Computer Science (LIACS) are studying.
Sep 15, 2026
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