Michigan Tech, 22 March 2023
Researchers at Michigan Technological University are applying neuromorphic computing to improve the effectiveness and energy efficiency of deep brain stimulation systems used to treat Parkinson’s disease. Currently incurable, Parkinson’s disease is a neurodegenerative disorder that affects millions…
Human Brain Project, 21 March 2023
From 14 to 16 March 2023, the EBRAINS Workshop: Anatomy & function of the prefrontal cortex across species took place in Paris, France. The event was organised by the HBP Education Programme and EITN Paris, in collaboration with CEA Saclay, ICM, Cajal Institute & UPM. The first two days of the event took place at the Institute for Brain & Spinal Cord (ICM), located in Central Paris, and…
Electronic Engineering Journal, 9 March 2023
In my previous column, we discussed how the year 2030 seems set to be an exciting time to be in artificial intelligence (AI) and machine learning (ML) space (where no one can hear you scream). For example, in addition to the industrial IoT (IIoT) we also have the artificial intelligence of things (AIoT). “What’s the AIoT when it’s at home?” I hear you cry…
ICONS 2023, 6 March 2023
ICONS 2023 will be held in a hybrid format: physical location will be Santa Fe. Virtual attendance details will also be provided to the participants. The meeting will take place August 1-3, 2023. The goal of ICONS is to bring together leading researchers in neuromorphic computing to present new research, develop new collaborations, and provide a forum to publish work in this area….
STOCKHEAD, 5 March 2023
AI chip developer Brainchip (ASX:BRN) has launched the second generation of its Akida platform which can apparently learn from raw sensor data. Basically, the chip now includes Temporal Event Based Neural Nets (TENN) spatial-temporal convolutions that supercharge the processing of raw time-continuous streaming data, such as video analytics, target tracking…
EE Times, 3 March 2023
Prophesee this week announced a collaboration to “allow native compatibility” between its Metavision neuromorphic event-based cameras and Qualcomm’s Snapdragon mobile platforms in a multi-year deal to co-develop their tech. Prophesee’s brain-inspired sensors inherently compress data by only detecting pixels that change their brightness level at any given time….
Business Standard, 21 February 2023
In a new study, researchers at the Indian Institute of Science (IISc) show how a brain-inspired image sensor can go beyond the diffraction limit of light to detect miniscule objects such as cellular components or nanoparticles invisible to current microscopes. Their novel technique, which combines optical microscopy with a neuromorphic…
GlobeNewswire, 15 February 2023
The global neuromorphic computing Market size is expected to reach USD 20,272.1 million by 2030. The market is anticipated to expand at a CAGR of 21.2% from 2022 to 2030. The rise in demand for artificial intelligence and machine learning technology increased software utilization in neuromorphic…
ee News EUROPE, 6 February 2023
BrainChip has teamed up with AI Labs on the next generation of preventive maintenance technologies using spiking neural networks. The Minsky AI Engine will be used with BrainChip’s Akida event-driven hardware for monitoring industrial systems and identifying issues before they cause a problem. “Minsky is the world’s most easy-to-use, proprietary,…
Tech Xplore, 1 February 2023
"All things are numbers," avowed Pythagoras. Today, 25 centuries later, algebra and mathematics are everywhere in our lives, whether we see them or not. The Cambrian-like explosion of artificial intelligence (AI) brought numbers even closer to us all, since technological evolution allows for parallel processing of a vast amounts of operations….
PHYSORG, 13 January 2023
Neuromorphic devices have attracted increasing attention because of their potential applications in neuromorphic computing, intelligence sensing, brain-machine interfaces and neuroprosthetics. However, most of the neuromorphic functions realized are based on the mimic of electric pulses with solid state devices. Mimicking the functions of chemical synapses, especially…
brainchip, 10 January 2023
Traditional convolutional neural networks (CNNs) use 32-bit floating point parameters and activations. They require extensive computing and memory resources. Early convolutional neural networks such as AlexNet had 62 million parameters. Over time, CNNs have increased in size and capabilities. GPT3 is a transformer network that has 175 billion parameters….
Nature Materials, 4 January 2023
Learning and memory in the brain are widely considered to happen by the strengthening of connections between neurons. The nerve cells ‘wire together’ to create firing pathways that can be reliably reactivated. This interdependence is produced by changes that happen at the synapse where one neuron interfaces and communicates with another. What those changes consist of is still…
IEEE Spectrum, 4 January 2023
Memristive devices that mimic neuron-connecting synapses could serve as the hardware for neural networks that copy the way the brain learns. Now two new studies may help solve key problems these components face not just with yields and reliability, but with finding applications beyond neural nets. Memristive devices that mimic neuron-connecting…
Helmoltz Blogs, 21 December 2022
In order to bundle and expand the existing microelectronic research and development in Germany with regard to quantum and neuromorphic computing, FMD started a joint project with four other Fraunhofer institutes, Forschungszentrum Jülich and AMO GmbH on December 1, 2022: The “Research…
EE Times, 9 December 2022
Sony, Prophesee, iniVation, and CelePixel are already working to commercialize event (spike-based) cameras. Even more important, however, is the task of processing the data these cameras produce efficiently so that it can be used in real-world applications. While some are using relatively conventional digital technology for this, others are working…
IEEE Spectrum, 2 December 2022
How far away could an artificial brain be? Perhaps a very long way off still, but a working analogue to the essential element of the brain’s networks, the synapse, appears closer at hand now. That’s because a device that draws inspiration from batteries now appears surprisingly well suited to run artificial neural networks….
EE Times, 21 November 2022
Event cameras—neuromorphic sensors that output asynchronous spikes analogous to those that go from the retina to the brain—may be approaching a point where they stop being considered quite so “exotic.” EE Times has covered them before, especially in articles by those on the front line of the technology, such as Tobi Delbruck and Jean-Luc Jaffard….
IEEE Spectrum, 28 October 2022
Artificial-intelligence systems are increasingly limited by the hardware used to implement them. Now comes a new superconducting photonic circuit that mimics the links between brain cells—burning just 0.3 percent of the energy of its human counterparts while operating some 30,000 times as fast. In artificial neural networks, components called neurons are fed data and cooperate to…
EE Times, 22 July 2022
Car makers are checking out neuromorphic technology to implement AI–powered features such as keyword spotting, driver attention, and passenger behavior monitoring. Imitating biological brain processes is alluring because it promises to enable advanced features without adding significant power draw at a time when vehicles are trending towards battery–powered operation….