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Nature Nanotechnology, Published online: 18 May 2026; doi:10.1038/s41565-026-02186-1Artificial neurons based on printed molybdenum disulfide nanosheet networks achieve multi-order...
Neuromorphic Edge AI chips mark a fundamental departure from traditional silicon, utilizing brain-inspired, event-driven architectures to enable real-time inference within milliwat...
"If we want truly intelligent machines, we have to start building hardware that learns the way biology does."
A 3D bio-hybrid device uses a microscopic metal mesh to grow and "program" living brain cells for computation.
By developing organic transistors that mimic neural synapses, the team has identified how molecular interfaces can be engineered to create "neuromorphic" computers that learn and s...
Источник: Компьютерра - Журнал о науке и технологиях Ученые работают над новым подходом к компьютерным вычислениям, по примеру работы человеческого мозга, на фоне того, как тради...
New artificial neurons fire so realistically they can activate living brain cells in mouse tissue. The post Printed Neurons That Mimic Brain Cells Could Slash AI’s Energy Bill appe...
HC1 raises a much bigger question than whether it can outperform GPUs. It asks whether future AI systems will still rely on programmable computing at all, or evolve towards silicon...
A three-terminal light-emitting memristor lets display pixels store memory, process signals, and emit light for faster local edge AI responses.
A new study outlines how rigid silicon architectures are shifting toward soft, brain-inspired electronics that mechanically conform to biological tissues.
AI is using more power than current chips can handle. Researchers are testing brain-inspired designs that could change how computers process and store information. Researchers at U...
Charge density waves in metals accumulate defects and melt much like physical solids, a behavior that could be harnessed for neuromorphic devices and superconductors.
A 3D network of living neurons and electronics can recognize electrical patterns and may help researchers study both brain function and low-energy computing. Princeton researchers...
Inspired by the human brain, researchers have developed a new light-sensitive device that combines sensing and memory while controlling how digital memories strengthen or fade over...
Replicating the brain's capabilities, an impossible task, may theoretically require thousands of H100, one of NVIDIA's most powerful GPUs. At 700 watts per chip, we are looking at...
A computer built with a 2D semiconductor integrates more than 1,400 transistors on one chip, demonstrating a path toward AI and edge computing. Researchers from Nanjing University,...
Have you ever considered that living matter can operate as information hardware? Usually, when discussing biocomputing, there are two paradigms: Molecular biocomputing: uses DNA an...
A consortium led by the University of Groningen in the Netherlands is receiving a grant of €9 million from the long-term programme of the NWO Knowledge and Innovation Covenant (KIC...
Researchers are replacing rigid silicon-based AI hardware with stretchable, neuromorphic electronics that mimic how the brain processes information, opening new possibilities for l...
The race for more powerful AI might depend on entirely new forms of computing. Ian says living brain cells could be one radical solution.
In the rapidly evolving realm of artificial intelligence and deep learning, conventional electronic computing architectures are increasingly strained by the demands of large-scale...
As artificial intelligence workloads expand, conventional silicon based processors are facing increasing pressure from rising energy demands and performance limits. Lumai has unvei...
Источник: Компьютерра - Журнал о науке и технологиях Группа исследователей из Австралии представила разработку в области машинного зрения — нейроморфный чип, который объединяет фу...
A silicon carbide transistor uses negative differential resistance at millikelvin temperatures to enable low-power local control near quantum processors.
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