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.
Electronics & Semiconductors
A Japan–U.S. collaborative research team has demonstrated the world's first integrated spintronic probabilistic bit, or p-bit, fabricated on a silicon chip using semiconductor manufacturing processes. The team, consisting ...
Jun 2, 2026
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Hardware
Cornell researchers have developed a new type of computing device that stores information electrically but reads it through tiny mechanical motion, an unusual approach that could open a path toward more energy-efficient hardware ...
Jun 1, 2026
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Hardware
Nvidia unveiled a powerful laptop chip for Windows machines on Monday, staking its claim in the market for next-generation consumer PCs integrated with artificial intelligence.
Jun 1, 2026
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Electronics & Semiconductors
Modern artificial intelligence systems rely on moving large amounts of data between memory and processors, a design that limits speed and increases energy use. The human brain works differently: it combines memory and computation ...
May 31, 2026
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Software
Operating large language model (LLM) services like ChatGPT requires a server infrastructure on the scale of tens of thousands of units. However, constructing actual equipment every time a new AI semiconductor or system architecture ...
May 29, 2026
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Electronics & Semiconductors
Chinese tech giant Huawei said on Monday it had developed a new way of making semiconductors that could get around its US-enforced lack of access to the most advanced chipmaking equipment.
May 25, 2026
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Robotics
Soft robotics—machines made of flexible, muscle-like materials—can bend and stretch in fluid ways that put the rigid robots of old sci-fi movies to shame. But the flexibility that lets them pick ripe tomatoes or navigate ...
May 22, 2026
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Electronics & Semiconductors
A new skin-like computing patch developed at the University of Chicago Pritzker School of Molecular Engineering (UChicago PME) can analyze health data using artificial intelligence in an unprecedented way. Unlike today's ...
May 21, 2026
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Computer Sciences
South Korean researchers have successfully developed a core technology that can fundamentally resolve "memory shortages," a chronic bottleneck in large-scale artificial intelligence (AI) training. This technology is a next-generation ...
May 18, 2026
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Hardware
Artificial intelligence systems, such as large language models (LLMs) and convolutional neural networks (CNNs), can analyze large amounts of data and rapidly generate desired content or identify meaningful patterns. However, ...
