News and Blogs

Rippling Signals May Provide Working Memory in the Brain
EE Times Current, 4 April 2025
For 50 years Dr. Terry Sejnowski has modelled the brain and used his insights to help inform AI. In this episode of Brains and Machines, he talks to Dr. Sunny Bains of the University College London about how information flows both ways between neuroscience and engineered intelligence, proposes a new way of looking at memory and considers the Hopfield-Hinton Nobel Prize. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University….

Andes combines Brainchip neuromorphic AI with RISC-V
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…

Neuromorphic Computing Breakthrough Could Be A Game-Changer
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…

BrainChip partnership brings neuromorphic AI to search and rescue
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 Dimension 3: Neuromorphic computing
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…

AI Breakthrough: Scientists Transform Everyday Transistor Into an Artificial Neuron
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…

Breakthrough in low-power neuromorphic computing: novel 2D phase-transition memristor achieves ultrafast and energy-efficient switching
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…

BrainChip and Raytheon Partner on AFRL Neuromorphic Radar Initiative
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….

Frontgrade Gaisler Launches New GRAIN Line and Wins SNSA Contract to Commercialize First Energy-Efficient Neuromorphic AI for Space Applications
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…

Neuromorphic computing has been boosted by the development of single-transistor computing cell that can mimic the behaviour of both electronic neurons and synapses.
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…

Failure mode enables single transistor for neuromorphic AI chips
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)…