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Mahowald Prize, 6 February 2025
The team of Navid A. Aadit, Shuvro Chowdhury, Shaila Niazi, Kemal Selçuk, Nihal S. Singh, and Kerem Y. Çamsarı at UC Santa Barbara won the main prize for their work on Stochastic Neuromorphic Computing with Probabilistic Bits. Mark M. Iskarous at the Neuroengineering and Biomedical Instrumentation Lab, Johns Hopkins University, and Jens Egholm Pedersen at Neurocomputing Systems Lab, KTH Royal Institute of Technology, won the early career awards…
Neuromorphic Cameras : The Next Leap in Vision
25VARINDIA, 3 February 2025
Neuromorphic cameras are set to revolutionize the way we perceive and process visual data, opening up a world of possibilities across defense, industrial, and commercial domains. From improving battlefield protection systems to managing aerial drone fleets, these cameras are poised to redefine how we interact with our environments….
Scientists Develop Artificial Neurons That Mimic Human Perception
SciTechDaily, 3 February 2025
Artificially engineered biological processes, such as perception systems, remain a challenging target for organic electronics experts due to the dependence of human senses on an adaptive network of sensory neurons that communicate by firing in response to environmental stimuli. A new collaboration between Northwestern University and Georgia Tech has…
In a Nature article, an international research team charts the course for scalable neuromorphic computing systems
Instituto Italiano di Tecnologia, 31 January 2025
A review article about the future of neuromorphic computing by a team of 23 researchers, including Chiara Bartolozzi from Istituto Italiano di Tecnologia (IIT) was published last week in Nature. The article, titled “Neuromorphic Computing at Scale,” examines the state of neuromorphic technology and presents a strategy for building large-scale neuromorphic systems. Chiara Bartolozzi is…
ENERGIZE: a joint Korean-EU partnership for energy-efficient neuromorphic hardware
AMO, 30 January 2025
The European Union, South Korea, and Switzerland have jointly launched the ambitious research project ENERGIZE, providing €3.6 million in funding to develop energy-efficient hardware based on two-dimensional (2D) materials for edge computing and artificial intelligence (AI) applications. ENERGIZE is one of the four projects selected through the joint EU-South Korea call in February 2024, focused on advancing critical but pre-commercial semiconductor technol…
Unlocking the Brain’s Secret: The Next Leap in AI With Neuromorphic Computing
SciTechDaily, 24 January 2025
Researchers outline a bold strategy to scale neuromorphic computing, aiming to match human brain functionality with minimal energy use. This involves developing advanced neuromorphic chips and fostering strong industry-academic partnerships, potentially transforming AI and healthcare through improved efficiency and capability. Scaling Up Neuromorphic Computing: Neuromorphic computing, which applies neuroscience principles to create computer systems that function like the human brain, must scal…
Review looks at roadmap for neuromorphic computing at scale
eeNews POWER, 24 January 2025
Leading European researchers have been part of a key project to look at how neuromorphic computing can scale up to address the energy consumption of AI. Prof Steve Furber of the University of Manchester, UK, Hector Gonzalez of SpiNNcloud Systems in Dresden, Germany, Cliff Young at Google DeepMind in London and Melika Payvand, Institute of Neuroinformatics at the University of Zürich and…
Charting the Promising Future of Neuromorphic Computing
GEN Genetic Engineering & Biotechnology News, 24 January 2025
An international team comprised of 23 researchers has published a review article on the future of neuromorphic computing that examines the state of neuromorphic technology and presents a strategy for building large-scale neuromorphic systems. The study “Neuromorphic Computing at Scale” appears in Nature. The research is part of a broader effort to advance neuromorphic computing, a field that applies principles of neuroscience to computing systems to mimic the brain’s function and structure….
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,…
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