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.
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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Engineering
Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of a next-generation biocompatible titanium alloy, potentially improving the manufacturing of advanced ...
Feb 11, 2026
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Hardware
Robots and self-driving cars could soon benefit from a new kind of brain-inspired hardware that can allegedly detect movement and react faster than a human. A new study published in the journal Nature Communications details ...
Hi Tech & Innovation
A male fruit fly in a laboratory chamber extends his wings and vibrates them to produce his species' version of a love song. A female fly stays nearby listening. Suddenly, a green light flashes across the chamber for a fraction ...
Feb 11, 2026
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Energy & Green Tech
A key problem facing artificial intelligence (AI) development is the vast amount of energy the technology requires, with some experts projecting AI datacenters to be responsible for over 13% of global electricity usage by ...
Feb 11, 2026
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