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 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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Energy & Green Tech
Researchers at Edith Cowan University (ECU) are working on ways to make solid-state batteries more reliable with the help of artificial intelligence (AI) and machine learning.
Dec 10, 2025
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Hardware
Developing chips that simulate how the brain works has great promise for AI, robotics, and other fields. But making them so that they're scalable while providing repeatable results has proven tricky. Now, a Yale-led team ...
Dec 8, 2025
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Electronics & Semiconductors
A new brain implant stands to transform human-computer interaction and expand treatment possibilities for neurological conditions such as epilepsy, spinal cord injury, ALS, stroke, and blindness—helping to manage seizures ...
Dec 8, 2025
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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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