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Jack Unit: An Area- and Energy-Efficient Multiply-Accumulate (MAC) Unit Supporting Diverse Data Formats
In this work, we introduce an area- and energy-efficient multiply-accumulate (MAC) unit, named Jack Unit, that is a jack-of-all-trades, supporting various data formats such as integer (INT), floating point (FP), and microscaling data format (MX). It provides bit-level flexibility and enhances hardware efficiency by i) replacing the carry-save multiplier (CSM) in the FP multiplier with a precision-scalable CSM, ii) performing the adjustment of significands based on the exponent differences within
2025-08-07
CAM-CIM: A Hybrid Compute-in-Memory Using Content-Addressable Memory with Subword Split Mapping for Reduced ADC Resolution
Recently, compute-in-memory (CIM) has become a promising architecture for data-intensive applications such as deep learning. However, analog or digital CIM (ACIM or DCIM) faces some design challenges. ACIMs inherently have non-idealities, which lead to significant accuracy degradation. In addition, a substantial amount of power is consumed by analog-to-digital converters (ADC). On the other hand, DCIMs show an exponential increase in power consumption and computing cycles as the operand bit-widt
2025-08-08
Efficient Dynamic Scene Editing via 4D Gaussian-based Static-Dynamic Separation
Recent 4D dynamic scene editing methods require editing thousands of 2D images used for dynamic scene synthesis and updating the entire scene with additional training loops, resulting in several hours of processing to edit a single dynamic scene. Therefore, these methods are not scalable with respect to the temporal dimension of the dynamic scene (i.e., the number of timesteps). In this work, we propose Instruct-4DGS, an efficient dynamic scene editing method that is more scalable in terms of te
2025-06-15
MVDoppler-Pose: Multi-Modal Multi-View mmWave Sensing for Long-Distance Self-Occluded HumanWalking Pose Estimation
One of the main challenges in reliable camera-based 3D pose estimation for walking subjects is to deal with selfocclusions, especially in the case of using low-resolution cameras or at longer distance scenarios. In recent years, millimeter-wave (mmWave) radar has emerged as a promising alternative, offering inherent resilience to the effect of occlusions and distance variations. However, mmWavebased human walking pose estimation (HWPE) is still in the nascent development stages, primarily due to
2025-06-15
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Recent Advances in Ultra-High-Speed Wireline Receivers with ADC-DSP-Based Equalizers
High-speed wireline data transceivers (TRX) with analog-to-digital converter (ADC) followed by digital signal processor (DSP) on the receiver (RX) equalizer became popular for applications requiring >100 Gb/s per-lane data rate over long-reach (LR) channels, especially for datacenter applications. With the digital-to-analog converter (DAC)-based transmitter (TX) including DSP-based TX signal processing, the overall structure of DAC/ADC-DSP-based wireline TRXs became similar to modulator/demodula
2024-11
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Bioelectronic Implantable Devices for Physiological Signal Recording and Closed-Loop Neuromodulation
Bioelectronic implantable devices are adept at facilitating continuous monitoring of health and enabling the early detection of diseases, offering insights into the physiological conditions of various bodily organs. Furthermore, these advanced systems have therapeutic capabilities in neuromodulation, demonstrating their efficacy in addressing diverse medical conditions through the precise delivery of stimuli directly to specific targets. This comprehensive review explores developments and applic
2024-10
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Empirical Analysis of MAVLink Protocol Vulnerability for Attacking Unmanned Aerial Vehicles
Recently, unmanned aerial vehicles (UAVs), or the so-called drones, have been used in various applications. In particular, UAVs are used for rescue systems, disaster detection, and military purposes, as well as for leisure and commercial purposes. UAVs that are controlled over networks by ground control stations (GCS) can provide various services with expanded activity area. It is thus of critical importance to investigate the vulnerability of the drone system. In this paper, we focus on UAVs co
2018-08
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Assessing dietary specialization to inform the conservation of the fairy pitta (Pitta nympha), an endangered vermivore
Quantifying the diet of endangered species is crucial for conservation, especially for diet specialists, which can be more susceptible to environmental changes. The vulnerable fairy pitta (Pitta nympha) is considered a specialist that primarily feeds its nestlings with earthworms. However, there have been few studies of the nestling diet provisioned by parents, and no assessments of earthworm proportion in the diet of adults. Our study aimed to fill these gaps, shedding light on crucial factors
2024-04
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