In Situ Backpropagation Strategy That Progressively Updates Neural Network Layers Directly in HW (TU Eindhoven)


A new technical paper titled "Hardware implementation of backpropagation using progressive gradient descent for in situ training of multilayer neural networks" was published by researchers at Eindhoven University of Technology. Abstract "Neural network training can be slow and energy-expensive due to the frequent transfer of weight data between digital memory and processing units. Neuromorp... » read more

On-Chip Communication For Programmable Accelerators In Heterogeneous SoCs (Columbia, IBM)


A technical paper titled “Towards Generalized On-Chip Communication for Programmable Accelerators in Heterogeneous Architectures” was published by researchers at Columbia University and IBM Thomas J. Watson Research Center. Abstract: "We present several enhancements to the open-source ESP platform to support flexible and efficient on-chip communication for programmable accelerators in het... » read more

Analysis Of The On-DRAM-Die Read Disturbance Mitigation Method: Per Row Activation Counting


A technical paper titled “Understanding the Security Benefits and Overheads of Emerging Industry Solutions to DRAM Read Disturbance” was published by researchers at ETH Zürich and TOBB University of Economics and Technology. Abstract: "We present the first rigorous security, performance, energy, and cost analyses of the state-of-the-art on-DRAM-die read disturbance mitigation method, Per... » read more

2D UltraLow Temperatures, High Performance Quantum


A new technical paper titled "Electrically tunable giant Nernst effect in two-dimensional van der Waals heterostructures" was published by researchers at EPFL and National Institute for Materials Science (Japan). Abstract "The Nernst effect, a transverse thermoelectric phenomenon, has attracted significant attention for its potential in energy conversion, thermoelectrics and spintronics. ... » read more

Lower Energy, High Performance LLM on FPGA Without Matrix Multiplication


A new technical paper titled "Scalable MatMul-free Language Modeling" was published by UC Santa Cruz, Soochow University, UC Davis, and LuxiTech. Abstract "Matrix multiplication (MatMul) typically dominates the overall computational cost of large language models (LLMs). This cost only grows as LLMs scale to larger embedding dimensions and context lengths. In this work, we show that MatMul... » read more

A Memory Device With MoS2 Channel For High-Density 3D NAND Flash-Based In-Memory Computing


A technical paper titled “Low-Power Charge Trap Flash Memory with MoS2 Channel for High-Density In-Memory Computing" was published by researchers at Kyungpook National University, Sungkyunkwan University, Dankook University, and Kwangwoon University. Abstract: "With the rise of on-device artificial intelligence (AI) technology, the demand for in-memory computing has surged for data-intensiv... » read more

Thermoelectric Active Cooling Hot Spots in Chips


A technical paper titled “Thermoelectric active cooling for transient hot spots in microprocessors” was published by researchers at the University of Pittsburgh and Carnegie Mellon University. Abstract: "Modern microprocessor performance is limited by local hot spots induced at high frequency by busy integrated circuit elements such as the clock generator. Locally embedded thermoelectric ... » read more

ML Method To Predict IR Drop Levels


A new technical paper titled "IR drop Prediction Based on Machine Learning and Pattern Reduction" was published by researchers at National Tsing Hua University, National Taiwan University of Science and Technology, and MediaTek. Abstract (partial) "In this paper, we propose a machine learning-based method to predict IR drop levels and present an algorithm for reducing simulation patterns, w... » read more

Power Electronic Packaging for Discrete Dies


A technical paper titled “Substrate Embedded Power Electronics Packaging for Silicon Carbide MOSFETs” was published by researchers at University of Cambridge, University of Warwick, Chongqing University, and SpaceX. Abstract: "This paper proposes a new power electronic packaging for discrete dies, namely Standard Cell which consists of a step-etched active metal brazed (AMB) substrate and... » read more

KAN: Kolmogorov Arnold Networks: An Alternative To MLPs (MIT, CalTech, et al.)


A new technical paper titled "KAN: Kolmogorov-Arnold Networks" was published by researchers at MIT, CalTech, Northeastern University and The NSF Institute for Artificial Intelligence and Fundamental Interactions. Abstract: "Inspired by the Kolmogorov-Arnold representation theorem, we propose Kolmogorov-Arnold Networks (KANs) as promising alternatives to Multi-Layer Perceptrons (MLPs). While... » read more

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