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.
Electronics & Semiconductors
Addressing a major roadblock in next-generation photonic computing and signal processing systems, researchers at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have created a device that can ...
Aug 25, 2025
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Computer Sciences
With the particular needs of scientists and engineers in mind, researchers at the Department of Energy's Pacific Northwest National Laboratory have co-designed with Micron a new hardware-software architecture purpose-built ...
Aug 21, 2025
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Hardware
Cornell University researchers have developed a low-power microchip they call a "microwave brain," the first processor to compute on both ultrafast data signals and wireless communication signals by harnessing the physics ...
Aug 14, 2025
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Security
A self-driving motor vehicle is cruising along, its numerous sensors and cameras telling it when to brake, change lanes, and make turns. The vehicle approaches a stop sign at a high rate of speed, but instead of stopping, ...
Aug 13, 2025
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Hi Tech & Innovation
Researchers have demonstrated that brain cells learn faster and carry out complex networking more effectively than machine learning by comparing how both a Synthetic Biological Intelligence (SBI) system known as "DishBrain" ...
Aug 12, 2025
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240
Electronics & Semiconductors
Wireless power transfer (WPT) systems transmit electrical energy from a power source to a load without physical connectors or wires, using electromagnetic fields. This idea goes as far back as the 1890s, when Nikola Tesla ...
Aug 5, 2025
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Electronics & Semiconductors
An interdisciplinary research team has engineered a new class of organic photoelectrochemical transistors (OPECTs). These tiny devices can convert light into electrical signals and mimic the behavior of synapses in the brain. ...
Jul 31, 2025
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60
Computer Sciences
A new international study has introduced Curved Neural Networks—a new type of AI memory architecture inspired by ideas from geometry. The study shows that bending the "space" in which AI "thinks" can create explosive memory ...
Jul 28, 2025
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397
Computer Sciences
It can take years for humans to solve complex scientific problems. With AI, it can take a fraction of the time.
Jul 25, 2025
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104
Electronics & Semiconductors
The development of more advanced technologies to process radiofrequency signals could further advance wireless communication, allowing devices connected to the internet to share information with each other faster and while ...
