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
What if traffic could compute? This may sound strange, but researchers at Tohoku University's WPI-AIMR have unveiled a bold new idea: using road traffic itself as a computer.
Jan 22, 2026
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Hardware
The ubiquity of smart devices—not just phones and watches, but lights, refrigerators, doorbells and more, all constantly recording and transmitting data—is creating massive volumes of digital information that drain energy ...
Jan 21, 2026
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Hardware
A new chip aims to dramatically reduce energy consumption while accelerating the processing of large amounts of data.
Jan 20, 2026
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Hardware
In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method that aligns memristor hardware's noisy updates with neural network training, slashing energy use by ...
Hi Tech & Innovation
Aran Nayebi jokes that his robot vacuum has a bigger brain than his two cats. But while the vacuum can only follow a preset path, Zoe and Shira leap, play and investigate the house with real autonomy.
Jan 13, 2026
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Electronics & Semiconductors
AI juggernaut Nvidia unveiled its latest AI platform on Monday, as the world's most valuable company works to maintain its leadership in supplying the chips that power the artificial intelligence revolution.
Jan 6, 2026
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Hardware
Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive optical networks, in particular, enable large-scale parallel computation through the use of passive ...
Jan 3, 2026
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Software
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited AI expertise in industrial fields such as factories, medical, and shipbuilding, providing them with ...
Jan 2, 2026
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Hardware
Until now, AI services based on large language models (LLMs) have mostly relied on expensive data center GPUs. This has resulted in high operational costs and created a significant barrier to entry for utilizing AI technology. ...
Jan 2, 2026
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Electronics & Semiconductors
Taiwan's world-leading microchip manufacturer TSMC says it has started mass producing next-generation "2-nanometer" chips.
Dec 31, 2025
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