SAN FRANCISCO – Dec. 7, 2022 – A CEA-Leti tutorial presented at IEDM 2022 highlighted promising advantages that resistive random-access memory (RRAM) technologies hold for implementing novel neuromorphic/in-memory computing systems for massively parallel, low-power and low-latency computation. In a presentation titled “Resistive Memories-Based Concepts for Neuromorphic Computing”, Elisa Vianello, CEA-Leti’s edge AI program manager, said RRAMs, aka memristors, offer advantages […]
CEA-Leti Presents RRAM’s ‘Promising Advantages’ For Neuromorphic/In-Memory Computing at IEDM 2022
December 7, 2022 by
CEA-Leti: Neuromorphic Device Uses Up to ‘5 Orders of Magnitude’ Less Energy
July 7, 2022 by
GRENOBLE, France – July 7, 2022 – Technical research institute CEA-Leti announced it has developed an event-driven, object-localization system that couples piezoelectric, ultrasound transducer sensors to a neuromorphic, resistive memories-based computational map. Presented in a paper published recently in Nature Communications, the research team describes development of an auditory-processing system that increases energy efficiency by up […]
Intel Launches 2nd Loihi Neuromorphic Chip; LANL Investigating ‘Trade-offs’ Between Quantum and Neuromorphic Computing
September 30, 2021 by
Intel today released an update on its neuromorphic computing strategy, introducing Loihi 2, its second-generation neuromorphic research chip, and Lava, an open-source software framework for developing “neuro-inspired” applications. Intel said Loihi 2 incorporates learnings from three years of use with the first-generation Loihi chip and leverages progress in Intel’s process technology and asynchronous design methods. The new […]
Intel and Accenture Support Neuromorphic Research Project for Wheelchair-Bound Pediatric Patients
August 19, 2020 by
Intel and Accenture today announced support for an Intel Neuromorphic Research Community (INRC) project led by the Neuro-Biomorphic Engineering Lab at the Open University of Israel in collaboration with ALYN Hospital. Using funding and technology support from Accenture, as well as Intel’s neuromorphic technology and algorithmic support from Applied Brain Research (ABR), the Israeli research […]
New Memristors at MIT: Networks of Artificial Brain Synapses for Neuromorphic Devices
June 8, 2020 by
A possible glimpse at a future form of high performance edge computing – networks of artificial brain synapses – developed by engineers at the Massachusetts Institute of Technology is showing promise as a new memristor design for neuromorphic devices, which mimic the neural architecture in the human brain. Published today in Nature Nanotechnology, results of […]
Using Magnetic Circuits for Energy Efficient Big Data Processing
April 16, 2020 by
Researchers at the Cockrell School of Engineering at The University of Texas at Austin have found a way to make the new generation of smart computers more energy efficient. “Traditionally, silicon chips have formed the building blocks of the infrastructure that powers computers. But this research uses magnetic components instead of silicon and discovers new information about how the physics of the magnetic components can cut energy costs and requirements of training algorithms — neural networks that can think like humans and do things like recognize images and patterns.”
Intel Scales Neuromorphic System to 100 Million Neurons
March 19, 2020 by
Today Intel unveiled Pohoiki Springs, its latest and most powerful neuromorphic research system providing the computational capacity of 100 million neurons. “Pohoiki Springs scales up our Loihi neuromorphic research chip by more than 750 times, while operating at a power level of under 500 watts,” said Mike Davies, director of Intel’s Neuromorphic Computing Lab. “The system enables our research partners to explore ways to accelerate workloads that run slowly today on conventional architectures, including high-performance computing (HPC) systems.”
Intel’s Neuromorphic Chip Can Sniff Out Hazardous Chemicals
March 16, 2020 by
Researchers have demonstrated how neuromorphic chips can mimic olfactory senses for use in industrial and medical applications. “In a joint paper published in Nature Machine Intelligence, researchers from Intel Labs and Cornell University demonstrated the ability of Intel’s neuromorphic research chip, Loihi, to learn and recognize hazardous chemicals in the presence of significant noise and occlusion. Loihi learned each odor with just a single sample without disrupting its memory of the previously learned scents. It demonstrated superior recognition accuracy compared to conventional state-of-the-art methods, including a deep learning solution that required 3000x more training samples per class to reach the same level of classification accuracy.”
Podcast: The Evolution of Neuromorphic Computing
December 27, 2019 by
Intel’s Mike Davies describes Intel’s Loihi, a neuromorphic research chip that contains over 130,000 “neurons.” “To be sure, neuromorphic computing isn’t biomimicry or about reconstructing the brain in silicon. Rather, it’s about understanding the processes and structures of neuroscience and using those insights to inform research, engineering, and technology.”
Intel Labs Unveils Pohoiki Beach 64-Chip Neuromorphic System
July 16, 2019 by
At the DARPA ERI summit this week, Intel Labs director Rich Uhlig unveiled “Pohoiki Beach” – a 64-Loihi Chip Neuromorphic system capable of simulating eight million neurons. Now available to the broader research community, the Pohoiki Beach enables researchers to experiment with Intel’s brain-inspired research chip, Loihi, which applies the principles found in the biological brains to computer architectures.
