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 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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24
Robotics
Robotics technology that not only performs simple tasks but also supports humans in all their tasks is among the key technologies in industrial manufacturing. But this requires that robots be able to master complex movements, ...
Mar 2, 2026
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Tech titan Amazon is working to step out of Nvidia's shadow with custom "Trainium" chips designed specially for machine learning as billions of dollars are poured into artificial intelligence (AI).
Feb 27, 2026
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Computer Sciences
Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller steps. These powerful models are particularly good at challenging tasks like advanced programming ...
Feb 26, 2026
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Electronics & Semiconductors
DNA, the genetic blueprints in every living organism, is nature's most efficient storage mechanism, capable of storing about 215 million gigabytes of data per gram. That storage capacity, if applied to electronics, could ...
Feb 24, 2026
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Hardware
A research team led by Professor Taesung Kim from the School of Mechanical Engineering at Sungkyunkwan University has developed a technology that precisely controls the internal structure of semiconductors using heat, much ...
Feb 23, 2026
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Software
AI users and developers can now measure the amount of electricity various AI models consume to complete tasks with an open-source software and online leaderboard developed at the University of Michigan. Companies can download ...
Feb 23, 2026
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Hardware
Over the past few decades, electronics engineers have been trying to develop new neuromorphic hardware, systems that mirror the organization of neurons in the human brain. These systems could run artificial intelligence (AI) ...
Electronics & Semiconductors
Samsung Electronics announced Thursday it had started mass production of next-generation memory chips to power artificial intelligence, touting an "industry-leading" breakthrough.
Feb 12, 2026
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