eeNEWS EUROPE, 25 April 2025
Neuromorphic AI IP from BrainChip has been integrated with RISC-V cores from Andes Technology. The 22nm FD-SOI Akida AKD1500 chip has been added to the Andes’ QiLai Voyager Board alongside the AndesCore AX45MP 64-bit multicore CPU IP via the recently launched M.2 PCI Express card. The AKD1500 digital, energy-efficient, event-based AI computation can…
Photonics Online, 23 April 2025
Neuromorphic computing uses principles from neuroscience to create devices that mimic neural systems, achieving efficient brain-like processing. It combines photonics and neuromorphic architectures for high efficiency and connectivity. Late last year, a group of scientists and students led by Professor Sreetosh Goswami at the Centre for Nano Science and Engineering (CeNSe), Indian Institute of Science (IISc), anno…
eeNEWS EMBEDDED, 17 April 2025
ARQUIMEA has demonstrated BrainChip’s Akida with a Prophesee event-based Metavision® camera on a low-power drone to detect distressed swimmers and surfers, assisting lifeguards in scaling their services for large beach areas. The Akida AI processor enables vision data to be processed directly without the need for conversion into tr…
NeurotechEU, 15 April 2025
The European University of Brain and Technology, NeurotechEU, works within eight different dimensions. These eight areas will shape the future of neurotechnology. The third dimension, ‘Neuromorphic Computing’ is about building computer systems that mimic how the brain processes information. This approach promises high computational efficiency with reduced power consumption, which is essential…
SciTechDaily, 15 April 2025
Researchers at the National University of Singapore (NUS) have shown that a single, standard silicon transistor, the core component of microchips found in computers, smartphones, and nearly all modern electronics, can mimic the functions of both a biological neuron and synapse when operated in a nontraditional manner. The study, led by Associate Professor Mario Lanza from the Department of Materials Science and Engineering at NUS’s College of Design and…
EurekAlert!, 11 April 2025
The demand for high-performance, energy-efficient computing hardware is growing rapidly, particularly in fields such as artificial intelligence and neuromorphic computing. Researchers have now introduced a novel 2D phase-transition memristor, which leverages an intrinsic ion migration mechanism to…
embedded, 2 April 2025
BrainChip Holdings Ltd has announced a collaboration with Raytheon Company, an RTX business, to fulfill a $1.8 million contract awarded by the Air Force Research Laboratory for advancements in neuromorphic radar signal processing. As a key partner, Raytheon Company will provide specialized services and support to assist BrainChip in executing the contract….
SPACENEWS, 2 April 2025
Gothenburg, Sweden (April 2, 2025) – The Swedish National Space Agency (SNSA) has awarded Frontgrade Gaisler, a leading provider of radiation-hardened microprocessors for space missions, a contract to commercialize the first neuromorphic System on Chip (SoC) device for space applications. Already in development at Frontgrade Gaisler, the device is part of the…
eeNews EUROPE, 31 March 2025
Up until now electronic neurons and synapses implemented with traditional silicon transistors requires interconnecting multiple devices – specifically, at least 18 transistors per neuron and 6 per synapse, according to researchers at the National University of Singapore. Now a team led by associate professor Mario Lanza of the Department of Materials Science and Engineering has shown that neuromorphic…
eeNews EUROPE, 31 March 2025
Researchers in Singapore have tapped a phenomenon usually regarded as a failure mechanism to produce a single transistor that slashes the complexity of neuromorphic AI chips. Implementing neurons and synapses with traditional silicon transistors in neuromorphic chips requires at least 18 transistors per neuron and 6 per synapse. Instead, the team at the National University of Singapore (NUS)…
PHYSORG, 17 March 2025
International Iberian Nanotechnology Laboratory (INL) researchers have developed a neuromorphic photonic semiconductor neuron capable of processing optical information through self-sustained oscillations. Exploring the use of light to control negative differential resistance (NDR) in a micropillar quantum resonant tunneling diode (RTD), the research indicates that this approach could lead to highly efficient light-driven neuromorphic computing systems. Neuromorphic computing seeks to replicate the information-processing capabilitie…
EINPRESSWIRE, 14 March 2025
WILMINGTON, DE, UNITED STATES, March 14, 2025 /EINPresswire.com/ — The neuromorphic computing market share is expected to witness the highest growth rate during the forecast period, owing to a rise in demand for artificial intelligence and machine learning technology and high usage of software in neuromorphic computing. In addition, various product launches and advancements…
ECMI, European Consortium for Mathematics in Physics, 14 March 2025
Artificial Intelligence (AI) is fundamentally changing the way we interact with computers. This brings with it new challenges and opportunities for the entire industry. In »STANCE«, our researchers from the division »High Performance Computing« together with our colleagues from Fraunhofer Institute for Integrated Circuits IIS, are establish a long term industrial and academic alliance to push for the adoption…
EE Times Current, 7 March 2025
Dr. Jennifer Hasler of Georgia Tech is best known for her work with field programmable analog arrays (FPAAs). In this episode of Brains and Machines, she talks about the importance of, and progress in, analog electronics for AI with Dr. Sunny Bains of the University College London. Discussion follows with Dr .Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University. EETimes announcer: Welcome to Brains and Machines, a deep dive into neuromorphic engineering and biologically-inspired technology. In this episode, Dr. Jennifer Hasler of Georgia Tech talks about the importance of, and progress in, analog electronics for AI. Your hosts are Dr. Sunny Bains of University College…
PHYSORG, 3 March 2025
A research team led by Prof. Long Shibing from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS) has, for the first time, made spintronic neuromorphic devices based on CoO/Pt heterostructure. The study is published in Nano Letters. Spintronics devices have attracted great attention due to their low power consumption, high operation speed and radiation resistance….
Tech Xplore, 3 March 2025
A research team has recently developed a neuromorphic exposure control (NEC) system that enhances machine vision under extreme lighting variations. Published in Nature Communications, this biologically inspired system mimics human peripheral vision to achieve unprecedented speed and robustness in dynamic perception environments. The research team was led by Professor Jia Pan and Professor Yifan Evan Peng from the Department of Computer Science and Department of…
The University of Hong Kong (HKU), 2 March 2025
A research team led by Professor Jia Pan and Professor Yifan Evan Peng from the Department of Computer Science and Department of Electrical & Electronic Engineering under the Faculty of Engineering at the University of Hong Kong (HKU), in collaboration with the researcher at Australian National University, has recently developed a groundbreaking neuromorphic exposure control (NEC)…
StartUs insights, 28 February 2025
Neuromorphic computing companies are revolutionizing industries like healthcare, autonomous vehicles, robotics, cybersecurity, and more. This brain-inspired technology mimics the neural and synaptic structures of the human brain, offering faster computation, excellent pattern recognition capabilities, and significantly lower power consumption than traditional computing architectures. At the…
TELECOM Review, 28 February 2025
Neuromorphic computing, inspired by brain functions, holds great potential for revolutionizing artificial intelligence (AI) by offering highly efficient and scalable alternatives to traditional computing. Researchers have mapped out strategies to scale neuromorphic systems, focusing on energy-efficient designs that can outperform conventional methods in performance and space efficiency. These systems…
Science News, 26 February 2025
The tiny worm Caenorhabditis elegans has a brain just about the width of a human hair. Yet this animal’s itty-bitty organ coordinates and computes complex movements as the worm forages for food. “When I look at [C. elegans] and consider its brain, I’m really struck by the profound elegance and efficiency,” says Daniela Rus, a computer scientist at MIT. Rus is so enamored with the worm’s brain that she cofounded a…