Bio-Inspired Networks to interface with nervous system
EE Times Current, 19 April 2024
Dr. Elisa Donati of the Institute of Neuroinformatics in Zurich talks to Dr. Sunny Bains about neuromorphic circuits for prosthetics, drug delivery, and more. Discussion follows with Dr. Giulia D’Angelo from the Fortiss research institute in Munich, and Professor Ralph Etienne-Cummings of Johns Hopkins University. You are listening to EE Times On Air, and this is EE Times Current. I’m Eric Singer. Welcome to Brains and Machines,…
EBRAINS Neuromorphic platform BrainScaleS-2 adds new interface for high-speed robotics
EBRAINS, 17 April 2024
Their work, detailed in a recent paper published in Frontiers in Neuroscience, introduced a real-time spike interface to the neuromorphic platform BrainScaleS-2 (BSS-2). This innovation enables advancements in high-speed robotics applications, due to a 1,000-fold acceleration of the emulated nerve cells. The biological brain shows very high speed and efficiency when processing…
Using sound waves for photonic machine learning: Study lays foundation for reconfigurable neuromorphic building blocks
Tech Xplore, 16 April 2024
Optical neural networks may provide the high-speed and large-capacity solution necessary to tackle challenging computing tasks. However, tapping their full potential will require further advances. One challenge is the reconfigurability of optical neural networks. A research team in the Stiller Research Group at the Max Planck…
Vietnam Neuromorphic Computing Market Embarking on the Uncharted Mastering Deep Understanding through Observational Prowess
Taiwan News, 10 April 2024
We are excited to unveil the newest edition of our exhaustive market research report “Vietnam Neuromorphic Computing Market,” crafted by Report Ocean, a leading provider of industry insights. This report offers a plethora of invaluable insights and analysis regarding the prevailing trends, growth opportunities, competitive dynamics, and strategic directives within the [specific industry/market]….
Photonic neuromorphic architecture for tens-of-task lifelong learning
EurekAlert!, 7 April 2024
Artificial intelligence (AI) tasks become increasingly abundant and complex fueled by large-scale datasets. With the plateau of Moore's law and end of Dennard scaling, energy consumption becomes a major barrier to more widespread applications of today's heavy electronic deep neural models, especially in terminal/edge systems. The community is imminently looking for next-generation computing modalities to break thr…
New Ultra-Low Power Memory for Neuromorphic Computing
SciTechDaily, 7 April 2024
KAIST researchers have created a low-power, cost-efficient phase change memory device, setting a new standard in memory technology. A team of Korean researchers is making headlines by developing a new memory device that can be used to replace existing memory or used in implementing neuromorphic computing for next-generation artificial intelligence hardware for its low processing costs and ultra-low power consumption….
Choosing the Right Technologies for Hybrid AI Chips
EE Times Current, 4 April 2024
In this podcast, Dr. Sunny Bains discusses neuromorphic chips with Dr. Amirreza Yousefzadeh, who most recently worked at imec and the University of Twente. He has a broad background in electronics, starting with digital and then moving into neuromorphic, and he’s spent time both in industry and research. This sets him up neatly to work on hybrid AI SoCs. Discussion follows with Dr. Giulia D’Angelo from the Fortiss research insti…
KAIST Develops Ultra-Low Power Memory for Neuromorphic Computing
the MIRAGE, 4 April 2024
A team of Korean researchers is making headlines by developing a new memory device that can be used to replace existing memory or used in implementing neuromorphic computing for next-generation artificial intelligence hardware for its low processing costs and its ultra-low power consumption. KAIST (President Kwang-Hyung Lee) announced on April 4th that Professor Shinhyun Choi's research team in the Schoo…
Photonic neuromorphic architecture for tens-of-task lifelong learning
newswise, 3 April 2024
Artificial intelligence (AI) tasks become increasingly abundant and complex fueled by large-scale datasets. With the plateau of Moore’s law and end of Dennard scaling, energy consumption becomes a major barrier to more widespread applications of today's heavy electronic deep neural models, especially in terminal/edge systems. The community is imminently looking for next-generation computing modalities to…
Using neuromorphic engineering to reinvent visual processing systems with a biological inspiration
NEWS MEDICAL LIFE SCIENCES, 1 April 2024
As computer vision (CV) systems become increasingly power and memory intensive, they become unsuitable for high-speed and resource deficit edge applications – such as hypersonic missile tracking and autonomous navigation – because of size, weight, and power constraints. At the University of Pittsburgh, engineers are ushering in the next generation of computer vision systems by…
A Q&A With Renowned Neuromorphic Chip Designer Chiara Bartolozzi
All About Circuits, 30 March 2024
Every year for Women’s History Month, All About Circuits spotlights the contributions of distinguished women engineers worldwide. For this article, we interviewed Chiara Bartolozzi, a senior researcher and neuromorphic chip expert at the Italian Institute of Technology (IIT). Since earning a degree in engineering from the University of Genova and a Ph.D. in neuroinformatics from ETH Zurich,…
BrainChip’s Akida: Neuromorphic Processor Bringing AI to the Edge
Medium, 21 March 2024
As our regular readers you might recall we have covered the basics of Neuromorphic computing a blog series last year and are now pursuing further research into its implementation. One of the blockers in the real time implementation of Spiking neural networks (SNNs) is availability of an actual Neuromorphic chip(s) to run SNN algorithms….
Neuromorphic Computing Market To Hit USD 29.2 Billion by 2032
market.us scoop, 21 March 2024
The global neuromorphic computing market is expected to experience significant growth in the coming decade. In 2023, it was valued at USD 5.1 billion and is predicted to reach USD 29.2 billion by 2032, which represents a CAGR of 22% during the forecast period from 2023 to 2032….
Innatera: Power Neuromorphic Processor Company Secures €15 Million
PULSE 2.0, 19 March 2024
Ultra-low-power neuromorphic processor leader Innatera announced it raised €15 million in Series A funding from Invest-NL Deep Tech Fund, the EIC Fund, MIG Capital, Matterwave Ventures, and Delft Enterprises. This funding will accelerate mass production, broaden application offerings, and expand customer engagement….
Why Sound Processing Takes Time, Not Just Frequency
EE Times Current, 15 March 2024
In this episode, Professor Shih-Chii Liu, co-director of the Sensors Group at the Institute of Neuroinformatics (INI)—part of both the ETH and the University of Zurich, Switzerland—talks to Brains and Machines host, Dr. Sunny Bains, about neuromorphic cochlea, sparsity and deep networks, and what it will take for the technology to solve real problems in industry. Discussion follows with Dr. Giulia D’Angelo from the Fortiss research institu…
Staying in the loop: how superconductors are helping computers “remember”
EurekAlert!, 13 March 2024
Computers work in digits — 0s and 1s to be exact. Their calculations are digital; their processes are digital; even their memories are digital. All of which requires extraordinary power resources. As we look to the next evolution of computing and developing neuromorphic or “brain like” computing, those power requirements are unfeasible….
Global Neuromorphic Computing Market Forecast Report to 2028: Growing Potential of AI and Neuromorphic Computing in Medical Science and Medical Imaging
PR Newswire, 11 March 2024
DUBLIN, March 11, 2024 /PRNewswire/ — The "Global Neuromorphic Computing Market (2023-2028) Competitive Analysis, Impact of Covid-19 with Ansoff Analysis" report has been added to ResearchAndMarkets.com's offering. The Global Neuromorphic Computing Market was estimated to be USD 49.91 Billion in 2023 and is expected to reach USD 329.61…
Neuromorphic Quantum Computing and beyond// hack the limits
Medium, 8 March 2024
The Quromorphic project is focused on developing human brain-inspired hardware with quantum functionalities. This involves constructing superconducting quantum neural networks to create dedicated neuromorphic quantum machine learning hardware. The goal is to surpass classical von Neumann architectures in the next generation. The project combines advancements in machine learning and quantum computing to create a novel technology. Unlike tra…
BrainChip’s Neuromorphic Akida Goes Orbital as Optimus-1 Takes the ANT61 Brain Computer Into Space
hackster.io, 6 March 2024
Neuromorphic computing specialist BrainChip, which claims its Akida processor can deliver more efficient artificial intelligence at the edge, is now trialing its technology somewhere new: space, having worked with ANT61 to place its technology into the Space Machines Company's Optimus-1 spacecraft that launched into low Earth orbit this week. "Space is a tough and unforgiving…
Making AI more energy efficient with neuromorphic computing
CWI Reserach institute for mathematics and computer science in the Netherlands, 5 March 2024
As artificial intelligence (AI) grows exponentially, so is its carbon footprint. Since the deep learning revolution of 2012, training the largest deep neural networks has become three hundred thousand times more computationally intensive. Just training a large AI model like ChatGPT uses the annual carbon footprint of sixty people in the Western world. One way to reduce AI’s energy consumption and carbon footprint is to replace the traditional Von Neumann-based computing architecture, which separates…