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
Resilient energy systems depend on reliable batteries. The lithium-ion (Li-ion) batteries powering our world must endure the steady strain of time, charge cycles, and environmental conditions that gradually wear them out ...
Jun 10, 2025
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Electronics & Semiconductors
As artificial intelligence and smart devices continue to evolve, machine vision is taking an increasingly pivotal role as a key enabler of modern technologies. Unfortunately, despite much progress, machine vision systems ...
Jun 2, 2025
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Hardware
A new supercomputer named after a winner of the Nobel Prize in chemistry will help power artificial intelligence technology and scientific discoveries from a perch in the hills above the University of California, Berkeley, ...
May 30, 2025
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Machine learning & AI
The advancement of artificial intelligence (AI) and the study of neurobiological processes are deeply interlinked, as a deeper understanding of the former can yield valuable insight about the other, and vice versa. Recent ...
Energy & Green Tech
Researchers at the University of Osaka have developed an energy-efficient and high-precision measurement system leveraging the inherent similarity between waveforms generated by the same type of signal source.
May 28, 2025
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Electronics & Semiconductors
Modern computer chips generate a lot of heat—and consume large amounts of energy as a result. A promising approach to reducing this energy demand could lie in the cold, as highlighted by a new Perspective article by an international ...
May 27, 2025
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Machine learning & AI
Human brains are great at sorting through a barrage of sensory information—like discerning the smell of tomato sauce upon stepping into a busy restaurant—but artificial intelligence systems are challenged by large bursts ...
May 21, 2025
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Machine learning & AI
Could AI that thinks more like a human be more sustainable than today's LLMs? The AI industry is dominated by large companies with deep pockets and a gargantuan appetite for energy to power their models' mammoth computing ...
May 20, 2025
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Hardware
A new AI chip developed at the Technical University of Munich (TUM) works without the cloud server or internet connections needed by existing chips. The AI Pro, designed by Prof Hussam Amrouch, is modeled on the human brain. ...
May 19, 2025
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Machine learning & AI
Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations—it's a triumph of your associative memory, in which one piece of information (the first few notes) triggers the memory ...
May 14, 2025
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