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
In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial intelligence (AI), has increased exponentially, creating a serious social challenge. To address this ...
Dec 29, 2025
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Hardware
Scientists in China have unveiled a new AI chip called LightGen that is 100 times faster and 100 times more energy efficient than NVIDIA chips, the leading supplier of AI chips worldwide. Instead of using electricity to move ...
Robotics
In Nature Communications, a research team affiliated with UNIST present a fully biodegradable, robust, and energy-efficient artificial synapse that holds great promise for sustainable neuromorphic technologies. Made entirely ...
Dec 19, 2025
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Energy & Green Tech
Artificial intelligence is getting more powerful—but it's also racking up a massive energy bill. Some estimate that one maximum-length ChatGPT query can use about twice as much power as an average U.S. home does in one minute. ...
Dec 17, 2025
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Engineering
We've all been there, protecting our ears—the school play in the gym or community hall, where sound is distorted due to glitches in equipment.
Dec 17, 2025
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Hardware
A cross-institutional team led by researchers from the Department of Electrical and Electronic Engineering (EEE), under the Faculty of Engineering at The University of Hong Kong (HKU), have achieved a major breakthrough in ...
Dec 17, 2025
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Energy & Green Tech
In a study published in Frontiers in Science, scientists from Purdue University and the Georgia Institute of Technology outline practical approaches to overcome the limitations of modern computing hardware.
Dec 16, 2025
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Software
EPFL researchers have developed new software—now spun-off into a start-up—that eliminates the need for data to be sent to third-party cloud services when AI is used to complete a task. This could challenge the business model ...
Dec 15, 2025
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Hardware
A collaborative team has achieved the first monolithic 3D chip built in a U.S. foundry, delivering the densest 3D chip wiring and order-of-magnitude speed gains.
Dec 12, 2025
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Hardware
Artificial intelligence and machine learning could become dramatically more efficient, thanks to a new type of computer component developed by researchers at the University of California, Santa Barbara and Tohoku University, ...
Dec 10, 2025
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