category: AI/ML/DL

category: IoT, Security & Automotive

6G And Beyond: Overall Vision And Survey of Research
By Technical Paper Link - 16 Jul, 2024 - Comments: 0

A new 92 page technical paper titled "6G: The Intelligent Network of Everything -- A Comprehensive Vision, Survey, and Tutorial" was published by IEEE researchers at Finland's University of Oulu. Abstract "The global 6G vision has taken its shape after years of international research and development efforts. This work culminated in ITU-R's Recommendation on "IMT-2030 Framework". While the d... » read more

In Situ Backpropagation Strategy That Progressively Updates Neural Network Layers Directly in HW (TU Eindhoven)
By Technical Paper Link - 16 Jul, 2024 - Comments: 0

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

Roadmap To Neuromorphic Computing (Collaboration of 27 Universities/Companies)
By Technical Paper Link - 09 Jul, 2024 - Comments: 0

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

Lower Energy, High Performance LLM on FPGA Without Matrix Multiplication
By Technical Paper Link - 27 Jun, 2024 - Comments: 0

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
By Technical Paper Link - 26 Jun, 2024 - Comments: 0

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

ML Method To Predict IR Drop Levels
By Technical Paper Link - 21 Jun, 2024 - Comments: 0

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

Dedicated Approximate Computing Framework To Efficiently Compute PCs On Hardware
By Technical Paper Link - 20 Jun, 2024 - Comments: 0

A technical paper titled “On Hardware-efficient Inference in Probabilistic Circuits” was published by researchers at Aalto University and UCLouvain. Abstract: "Probabilistic circuits (PCs) offer a promising avenue to perform embedded reasoning under uncertainty. They support efficient and exact computation of various probabilistic inference tasks by design. Hence, hardware-efficient compu... » read more

KAN: Kolmogorov Arnold Networks: An Alternative To MLPs (MIT, CalTech, et al.)
By Technical Paper Link - 13 Jun, 2024 - Comments: 0

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

Efficient TNN Inference on RISC-V Processing Cores With Minimal HW Overhead
By Technical Paper Link - 10 Jun, 2024 - Comments: 0

A new technical paper titled "xTern: Energy-Efficient Ternary Neural Network Inference on RISC-V-Based Edge Systems" was published by researchers at ETH Zurich and Universita di Bologna. Abstract "Ternary neural networks (TNNs) offer a superior accuracy-energy trade-off compared to binary neural networks. However, until now, they have required specialized accelerators to realize their effic... » read more

CAM-Based CMOS Implementation Of Reference Frames For Neuromorphic Processors (Carnegie Mellon U.)
By Technical Paper Link - 31 May, 2024 - Comments: 0

A technical paper titled “NeRTCAM: CAM-Based CMOS Implementation of Reference Frames for Neuromorphic Processors” was published by researchers at Carnegie Mellon University. Abstract: "Neuromorphic architectures mimicking biological neural networks have been proposed as a much more efficient alternative to conventional von Neumann architectures for the exploding compute demands of AI work... » read more

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