News and Blogs

Robots Need Physical, Not Just Artificial, Intelligence
EE Times Current, 3 January 2025
In this episode of Brains and Machines, emeritus Professor Rodney Brooks of Massachusetts Institute of Technology, currently CTO of Robust AI, talks about bottom-up and top-down approaches to robotics and AI with Dr. Sunny Bains of 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, Professor Rodney Brooks talks about the evolution of robotic technology, past, present, and future. Your hosts are Dr. Sunny Bains of University College London, and Dr. Giulia D’Angelo of the Czech Technical University…

KAIST Unveils Self-Learning Neuromorphic Chip
the MIRAGE, 17 January 2025
The research team of the School of Electrical Engineering posed by the newly deveoped processor. (From center to the right) Professor Young-Gyu Yoon, Integrated Master's and Doctoral Program Students Seungjae Han and Hakcheon Jeong and Professor Shinhyun Choi – Professor Shinhyun Choi and Professor Young-Gyu Yoon's Joint Research Team from the School of Electrical Engineering developed a computing chip that can learn, correct errors, and process AI tasks…

BrainChip Provides Low-Power Neuromorphic Processing for Quantum Ventura’s Cyberthreat Intelligence Tool
yahoo!finance, 17 January 2025
LAGUNA HILLS, Calif., January 17, 2025–(BUSINESS WIRE)–BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI, today announced its integration into an innovative technology offering that leverages the Akida™ processor to provide cybersecurity protection for WiFi access, home router,…

From Research Lab to Startup: How a Neuromorphic Chip Could Benefit Industry
leibniz ipht, 10 January 2025
Neuromorphic chips that process information like the human brain – this is the goal of physicist Heidemarie Krüger and her Dresden-based startup “Techifab”. The researcher from the Leibniz Institute of Photonic Technology and the Friedrich Schiller University of Jena is developing a technology that processes and stores data directly at the point of origin, eliminating the need for energy-…

Innatera Showcases Revolutionary Neuromorphic Processor Enabling Next-Generation Ambient Intelligence at CES 2025
PR Newswire, 7 January 2025
Delft University of Technology spin-off's Spiking Neural Processor utilizes a proprietary analog-mixed signal computing architecture that harnesses spiking neural networks to deliver unprecedented, brain-inspired cognition performance within an ultra-low power envelope. LAS VEGAS, Jan. 7, 2025 /PRNewswire/ Innatera, the pioneer of groundbreaking ultra-low power neuromorphic processors, is…

From Light Sensing to Adaptive Learning: Reconfigurable Memcapacitive Devices in Neuromorphic Computing
FOX 56, 6 January 2025
GA, UNITED STATES, January 6, 2025 /EINPresswire.com/ — Researchers at KAUST, Saudi Arabia, have made significant strides in neuromorphic computing by developing a reconfigurable metal-oxide-semiconductor capacitor (MOSCaps), demonstrating optoelectronic synaptic features and memcapacitive behavior. These devices can perform stimulus-associated learning and exhibit tunable volatility,…

Advances in neuromorphic computing sharpens our view into the Earth’s interior
SelectScience, 31 December 2024
How does the Earth generate its magnetic field? While the basic mechanisms seem to be understood, many details remain unresolved. A team of researchers from the Center for Advanced Systems Understanding (CASUS) at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Sandia National Laboratories in the USA and the French Alternative Energies and Atomic Energy Commission (CEA) has introduced a simulation method that…

Self-Powered Memory Device Mimicking Brain Functions to Advance Smart Electronics
Khalifa University, 27 December 2024
Taking cues from the human brain, Khalifa University researchers have developed a self-powered device mimicking important brain functions, such as adapting its learning based on past experiences, achieving an impressive accuracy rate of 93%. This breakthrough enables the development of neuromorphic systems, such as learning and memory processing, without relying on external power sources….

BrainChip’s Akida IP licensed for space-grade AI solutions by Frontgrade Gaisler
IoTNOW, 24 December 2024
BrainChip Holdings has announced that Frontgrade Gaisler has licensed its Akida IP for incorporation into space-grade, fault-tolerant system-on-chip solutions for hardware AI acceleration. This commercial license agreement paves the path forward for AI chips to be deployed in space. The Akida neuromorphic computing solution was selected based upon providing real time data stream processing with resiliency, autonomy and accuracy at the lowest power, mass and volume….

AI-Powered Breakthroughs Illuminate Earth’s Core Mysteries
SciTechDaily, 22 December 2024
New simulation methods reveal insights into the Earth’s core and promise advances in neuromorphic computing for artificial intelligence. How Does Earth Generate Its Magnetic Field? While scientists understand the basic process behind Earth’s magnetic field, many details remain unclear. A team of researchers from the Center for Advanced Systems Understanding (CASUS) at Helmholtz-Zentrum Dresden-Rossendorf (HZDR),…

Global Neuromorphic Chip Market to Surge with Unprecedented Growth, Estimated to Reach US$ 2.3 Billion by 2034 | TMR
EINPRESSWIRE, 17 December 2024
Neuromorphic Chip Market is set to revolutionize computing with rapid advancements in AI-driven processors, poised for significant growth by 2034. WILMINGTON, DE, UNITED STATES, December 18, 2024. The global neuromorphic chip market is experiencing a rapid evolution, driven by technological advancements and a growing demand for more efficient, brain-like computing systems….