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MAEIL BUSINESS NEWSPAPER, 3 October 2025
The competitiveness of Korean researchers in neuromorphic semiconductors is among the top in the world. Korea is the market where we can see the result." Seok Min-koo, a professor of electrical engineering at Columbia University, told the Maeil Business Newspaper that Korea can gain an advantage in the paradigm shift of semiconductor technology as it shows strength in neuromorphic…
A New Brain-on-a-Chip May Usher in the Beginning of the Singularity
POPULAR MECHANICS, 23 September 2025
Here’s what you’ll learn when you read this story: Memristors, or “memory resistors,” are the leading candidate for replacing synapses in a neuromorphic (brain-like) computer. Earlier this year, Korea Advanced Institute of Science and Technology, or KAIST, announced the development of a self-learning memristor that’s even better at replicating the synapses in our brain. This could allow AI computing to occur locally while also being more energy efficient and capable of improving at tasks over time….
King’s joins UK’s first brain-inspired computing innovation centre
King's College London, 16 September 2025
Along with King’s academics from NMES and IoPPN, Professor Bipin Rajendran from the Department of Engineering will lead the King’s team which is part of the UCL-led Neuroware centre. The centre seeks to accelerate the development of next-generation brain-inspired computing technologies and their deployment onto computer chips. This will help underpin new advancements in edge AI,…
Neuromorphic computing: Mimicking the human brain for smarter AI
DATAQUEST, 29 August 2025
From Intel's Loihi to breakthroughs in memristors, neuromorphic computing offers potential breakthroughs with more energy-efficient, adaptive, and brain-like data processing capabilities that could change the way we build smarter and more sustainable AI. The first time I witnessed a child stack blocks, I felt like I was watching a miniature computer learn. She didn't plan the tower, she felt for balance…
International Success: Austrian Research Partnership Sets New Standards in Neuromorphic Computing
SAL Silicon Austria Labs, 26 August 2025
Unlike classical computers, which process information in bits, the human brain uses short electrical impulses—known as spikes. What matters is the precise timing of these spikes, which carries the actual information. This timing-based representation allows the brain to transmit more complex information per signal compared to a digital bit, which can only be “0” or “1.” The intervals between…
Researchers Unlock Faster Brain-Inspired Computing
QUANTUM ZEITGEIST, 21 August 2025
The pursuit of energy-efficient computing inspired by the human brain increasingly focuses on harnessing the movement of magnetic domain walls, tiny boundaries within magnetic materials, as a means of processing information. Jeffrey Brock, Aleksandr Kurenkov, and Aleš Hrabec, at the Laboratory for Mesoscopic Systems at ETH Zurich, alongside Laura Heyderman and colleagues, now demonstrate a significant…
“We’re building chips that think like the brain” — I got a front row seat to see how neuromorphic computing will transform your next smart device
tom's guide, 11 August 2025
For how powerful today’s “smart” devices are, they’re not that good at working smarter rather than working harder. With AI constantly connected to the cloud and the chip constantly processing tasks (even when the device is asleep), this leads to high power consumption, limited privacy, and the constant need for connectivity. Neuromorphic computing offers a radical alternative, but what is it?…
Can Neuromorphic Be Low-Power, Reconfigurable, and Scalable?
EE Times Current, 8 August 2025
Professor Gert Cauwenberghs has been working toward building brain-scale systems for decades. At the University of California San Diego, he’s now one of the leaders of the Neuromorphic Commons hub, also known as Thor, which will give the wider community access to neuromorphic hardware and simulators. In this episode of Brains and Machines, he talks to Dr. Sunny Bains of University College London about his approach…
The Rise of Neuromorphic Computing: How Brain-Inspired AI is Shaping the Future in 2025
A.I News Hub, 7 August 2025
Neuromorphic computing, an innovative AI paradigm mimicking the human brain’s neural architecture, is poised to redefine technology in 2025. With the global AI market projected to reach $4.8 trillion by 2033, neuromorphic systems offer energy-efficient, low-latency solutions critical for edge AI, robotics, and IoT. In China, the New Generation Artificial Intelligence Plan and startups like SynSense are driving…
SpiNNcloud Sells Neuromorphic Supercomputer For Drug Discovery
EE Times, 28 July 2025
Neuromorphic hardware startup SpiNNcloud has sold a supercomputer based on its chips to the University of Leipzig, where it will be used for drug discovery. The 4320-chip system is based on the second generation of SpNNaker brain-inspired hardware, commercialized by SpiNNcloud. The new multi-million-Euro system at the University of Leipzig will simulate protein folding for research into personalized medicine….
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