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
A team of Korean researchers has developed the world's first technology that can freely connect and disconnect core computing resources such as memory and accelerators with "light" in next-generation artificial intelligence ...
Mar 20, 2026
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Consumer & Gadgets
While large language models (LLMs) like ChatGPT are adept at answering countless questions, they often remain unaware of a user's minor habits or previous conversational contexts. This is why AI, despite being deeply integrated ...
Mar 18, 2026
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Hardware
A research team led by Lee Hyun Jun and Noh Hee Yeon from the Division of Nanotechnology at DGIST has succeeded in implementing the world's first two-terminal-based artificial intelligence (AI) semiconductor that precisely ...
Mar 16, 2026
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Hardware
Edge computing is an emerging IT architecture that enables the processing of data locally by smartphones, autonomous vehicles, local servers, and other IoT devices instead of sending it to be processed at a centralized large ...
Hardware
A team led by engineers at the University of California San Diego has developed a new brain-inspired hardware platform that could help computer hardware keep pace with the explosive growth of artificial intelligence. By combining ...
Mar 11, 2026
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Electronics & Semiconductors
Both image photodetector arrays and retinas are pixelated sensors that dynamically extract various features from the visual scene—e.g., color, brightness, and contrast—before transmitting electrical signals to either a graphical ...
Mar 11, 2026
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Hardware
Australian researchers have built an ultra-compact artificial intelligence (AI) chip that is able to make calculations using the power of light, at the speed of light. The nano photonic chip prototype, which harnesses the ...
Mar 9, 2026
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Hi Tech & Innovation
Computer vision technologies are artificial intelligence (AI)-powered systems that can capture, analyze, and interpret visual data captured from real-world environments. While these systems are now widely used, many of them ...
Energy & Green Tech
What if the thermal noise that hinders the efficiency of both classical and quantum computers could, instead, be used as a power source? What if computers could make use of the noise instead of suppressing or overcoming it? ...
Mar 5, 2026
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Hi Tech & Innovation
Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a photonic spiking neural system. By enabling fast learning and decision making using purely light-based ...
Mar 5, 2026
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