ScienceDaily, 3 January 2026
Scientists have developed molecular devices that can switch roles, behaving as memory, logic, or learning elements within the same structure. The breakthrough comes from precise chemical design that lets electrons and ions reorganize dynamically. Unlike conventional electronics, these devices do not just imitate intelligence but physically encode it. This approach could reshape how future AI hardware is built….
EDGEIR.com, 15 December 2025
BrainChip raised $25 million to fast track development and commercialization of its neuromorphic AI technology products, including Akida 2 and Akida GenAI. It will support the growth of BrainChip’s product offering and according to Grand View Research, the global neuromorphic computing market is expected to grow to more than $20 billion by 2030 globally. “Our capital raise positions BrainChip to furthe…
EE Times Current, 8 December 2025
Professor Chris Eliasmith is a computer scientist and philosopher who’s been modelling cognitive systems for almost three decades. In this episode of Brains and Machines, he talks to Dr. Sunny Bains of University College London about his neural engineering framework and the semantic pointer architecture his team have developed to implement it. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University….
newelectronics, 5 December 2025
Neuromorphic computing specialist Innatera has joined forces with UK-based innovation consultancy 42 Technology (42T) to accelerate the adoption of brain-inspired processors in industrial and consumer applications. The collaboration aims to deliver ultra-low-power artificial intelligence at the sensor edge, enabling smarter, more responsive products. The partnership will combine Innatera’s…
EE Times EUROPE, 26 November 2025
As quantum and analog neuromorphic systems move closer to commercialization, new architectures continue to expand the definition of what computing can be. “Usually, at CEA-Leti, research teams plan five years ahead, but in this case, it’s more like 10 years,” Éléonore Hardy, silicon photonics partnership manager at CEA-Leti, told EE Times Europe at the Silicon Photonics Workshop co-organized by CEA-Leti…
Electronic Engineering Journal, 20 November 2025
We live in exciting times with respect to AI and the devices used to implement inferencing at the edge, where the “internet rubber” meets the “real-world road,” as it were. It reminds me of those distant days in the 1970s when we were all “feeling our way” with 8-bit microprocessors. I’m thinking of devices like the Intel 8008 (1972), Intel 8080 (1974), Motorola 6800 (1974), MOS Technology 6502 (1975),…
EE Times Current, 7 November 2025
Dr. Claudia Lenk’s group creates brain-inspired hearing systems with micromechanical hair cells. In this episode of Brains and Machines, she talks to Dr. Sunny Bains of University College London about the advantages of the approach and how it could be applied to speech processing in AI. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University….
SciTechDaily, 2 November 2025
A breakthrough in neuromorphic computing could lower the energy consumption of chips and accelerate progress toward artificial general intelligence (AGI). Researchers from the USC Viterbi School of Engineering and the School of Advanced Computing have created artificial neurons that closely mimic the complex electrochemical behavior of real brain cells. Their breakthrough,…
tom's HARDWARE, 28 October 2025
Chinese scientists have unveiled what they call the "world's first brain-inspired computing entity," an AI "supercomputer" called the BIE-1, inspired by the operation of the human brain. While this claim to be the world's first isn't entirely accurate, the BIE-1 still offers exciting neuromorphic performance numbers, reportedly featuring 1,152 CPU cores and 4.8 TB of DDR5 memory while claiming to consume…
USC Viterbi, 28 October 2025
Researchers at the USC Viterbi School of Engineering and School of Advanced Computing have developed artificial neurons that replicate the complex electrochemical behavior of biological brain cells. The innovation, documented in Nature Electronics, is a leap forward in neuromorphic computing technology….
investing.com, 10 October 2025
This Technology May Slash AI Energy Use by 1,000x – Arriving Years Before Oklo’s First Reactor. Investors have poured $45 billion into zero-revenue nuclear startups like Oklo (NYSE:OKLO), betting AI data centers will drive insatiable power demand for decades. But a convergence of energy-efficient computing technologies already demonstrating 100-1,000x efficiency gains in laboratories threatens to…
EE Times Current, 10 October 2025
Brad Aimone from Sandia National Labs works with the world’s biggest neuromorphic platforms. In this episode of Brains and Machines, he talks to Sunny Bains of University College London about how this allows him to think deeply about what they’re good for. Discussion follows with Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-…
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…
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 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,…
EE Times Current, 10 September 2025
Professor Barbara Webb from the University of Edinburgh in Scotland uses physical robots to validate neural mechanisms in crickets, ants, and bees. In this episode of Brains and Machines, she talks to Dr. Sunny Bains of University College London about her work. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings…
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…
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…
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…
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?…