Review of Advances in 3D integration of 2D Neuromorphic Electronics, Materials to Systems


A new technical paper titled "2D materials-based 3D integration for neuromorphic hardware" was published by researchers at  Seoul National University and University of Southern California. Find the technical paper here. November 2024. Kim, S.J., Lee, HJ., Lee, CH. et al. 2D materials-based 3D integration for neuromorphic hardware. npj 2D Mater Appl 8, 70 (2024). https://doi.org/10.10... » read more

Multi-Node, Virtualized Neuromorphic Architecture


A new technical paper titled "NeuroVM: Dynamic Neuromorphic Hardware Virtualization" was published by researchers at Stanford University, UT Austin and Temsa Research & Development Center. Abstract "This paper introduces a novel approach in neuromorphic computing, integrating heterogeneous hardware nodes into a unified, massively parallel architecture. Our system transcends traditional ... » read more

Memristors: Flexible Behavioral Model ( Israel Institute of Technology)


A new technical paper titled "VVTEAM: A Compact Behavioral Model for Volatile Memristors" was published by researchers at Technion – Israel Institute of Technology. Abstract "Volatile memristors have recently gained popularity as promising devices for neuromorphic circuits, capable of mimicking the leaky function of neurons and offering advantages over capacitor-based circuits in terms of... » read more

Roadmap To Neuromorphic Computing (Collaboration of 27 Universities/Companies)


A technical paper titled “Roadmap to Neuromorphic Computing with Emerging Technologies” was published by researchers at University College London, Politecnico di Milano, Purdue University, ETH Zurich and numerous other institutions. Summary: "The roadmap is organized into several thematic sections, outlining current computing challenges, discussing the neuromorphic computing approach, ana... » read more

New Approaches Needed For Power Management


Power is becoming a bigger concern as the amount of data being processed continues to grow, forcing chipmakers and systems companies to rethink compute architectures from the end point all the way to the data center. There is no simple fix to this problem. More data is being collected, moved, and processed, requiring more power at every step, and more attention to physical effects such as he... » read more

Ultra Energy-Efficient HW Platform For Neuromorphic Computing Enabled By 2D-TMD Tunnel-FETs (UC Santa Barbara)


A technical paper titled “An ultra energy-efficient hardware platform for neuromorphic computing enabled by 2D-TMD tunnel-FETs” was published by researchers at the University of California Santa Barbara. Abstract: "Brain-like energy-efficient computing has remained elusive for neuromorphic (NM) circuits and hardware platform implementations despite decades of research. In this work we rev... » read more

Research Bits: Feb. 27


Phonon-magnon reservoir Researchers from TU Dortmund, Loughborough University, V. E. Lashkaryov Institute of Semiconductor Physics, and University of Nottingham were inspired by the human eye to propose an on-chip phonon-magnon reservoir for neuromorphic computing. In reservoir computing, input signals are mapped into a multidimensional space, which is not trained and only expedites recogni... » read more

Novel Neuromorphic Artificial Neural Network Circuit Architecture


A technical paper titled “Mosaic: in-memory computing and routing for small-world spike-based neuromorphic systems” was published by researchers at CEA-LETI Université Grenoble Alpes, University of Zurich and ETH Zurich. Abstract: "The brain’s connectivity is locally dense and globally sparse, forming a small-world graph—a principle prevalent in the evolution of various species, sugg... » read more

Ferroelectric Tunnel Junctions In Crossbar Array Analog In-Memory Compute Accelerators


A technical paper titled “Ferroelectric Tunnel Junction Memristors for In-Memory Computing Accelerators” was published by researchers at Lund University. Abstract: "Neuromorphic computing has seen great interest as leaps in artificial intelligence (AI) applications have exposed limitations due to heavy memory access, with the von Neumann computing architecture. The parallel in-memory comp... » read more

Research Bits: Jan. 2


Synaptic transistor Researchers from Northwestern University, Boston College, and MIT developed a synaptic transistor that simultaneously processes and stores information similar to the human brain. The team said the transistor goes beyond simple machine learning tasks to categorize data and is capable of performing associative learning. The new device is stable at room temperatures. It als... » read more

← Older posts