Interleaving
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Small Teaching: Everyday Lessons from the Science of Learning Open
"Small Teaching fills the gap in higher education literature between the primary research in cognitive theory and the classroom environment. While other books provide research without concrete examples or simply introduce radical theories …
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Multifunctional interleaved geometric-phase dielectric metasurfaces Open
Shared-aperture technology for multifunctional planar systems, performing several simultaneous tasks, was first introduced in the field of radar antennas. In photonics, effective control of the electromagnetic response can be achieved by a…
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Multiwavelength metasurfaces through spatial multiplexing Open
Metasurfaces are two-dimensional arrangements of optical scatterers rationally arranged to control optical wavefronts. Despite the significant advances made in wavefront engineering through metasurfaces, most of these devices are designed …
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Characterizing errors on qubit operations via iterative randomized benchmarking Open
With improved gate calibrations reducing unitary errors, we achieve a\nbenchmarked single-qubit gate fidelity of 99.95% with superconducting qubits in\na circuit quantum electrodynamics system. We present a method for\ndistinguishing betwe…
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Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions Open
Prompting-based large language models (LLMs) are surprisingly powerful at generating natural language reasoning steps or Chains-of-Thoughts (CoT) for multi-step question answering (QA). They struggle, however, when the necessary knowledge …
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Comprehensive Study and Comparison on 5G NOMA Schemes Open
Compared to the traditional orthogonal multiple access, non-orthogonal multiple access (NOMA) technology can achieve higher spectrum efficiency and support more massive connectivity. In this paper, we conduct comprehensive study and compar…
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Razzer: Finding Kernel Race Bugs through Fuzzing Open
A data race in a kernel is an important class of bugs, critically impacting the reliability and security of the associated system. As a result of a race, the kernel may become unresponsive. Even worse, an attacker may launch a privilege es…
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Hierarchical Generation of Molecular Graphs using Structural Motifs Open
Graph generation techniques are increasingly being adopted for drug discovery. Previous graph generation approaches have utilized relatively small molecular building blocks such as atoms or simple cycles, limiting their effectiveness to sm…
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Integration of Six-Phase EV Drivetrains Into Battery Charging Process With Direct Grid Connection Open
The paper proposes two novel topologies for integrated battery charging of electric vehicles (EVs). The integration is functional and manifests through re-utilization of existing propulsion drivetrain components, primarily a six-phase inve…
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Adaptive Propagation Graph Convolutional Network Open
Graph convolutional networks (GCNs) are a family of neural network models that perform inference on graph data by interleaving vertexwise operations and message-passing exchanges across nodes. Concerning the latter, two key questions arise…
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Systems for deep brain stimulation: review of technical features Open
The use of deep brain stimulation (DBS) is an important treatment option for movement disorders and other medical conditions. Today, three major manufacturers provide implantable systems for DBS. Although the underlying principle is basica…
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Generative Encoder-Decoder Models for Task-Oriented Spoken Dialog Systems with Chatting Capability Open
Generative encoder-decoder models offer great promise in developing domain-general dialog systems. However, they have mainly been applied to open-domain conversations. This paper presents a practical and novel framework for building task-o…
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A compression strategy for particle mesh Ewald theory Open
Particle Mesh Ewald (PME) has become a standard method for treating long-range electrostatics in molecular simulations. Although the method has inferior asymptotic computational complexity to its linear scaling competitors, it remains enor…
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Prediction and real-time compensation of qubit decoherence via machine learning Open
The wide-ranging adoption of quantum technologies requires practical, high-performance advances in our ability to maintain quantum coherence while facing the challenge of state collapse under measurement. Here we use techniques from contro…
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Privacy-Preserving in Healthcare Blockchain Systems Based on Lightweight Message Sharing Open
Electronic medical records (EMRs) are extremely important for patients’ treatment, doctors’ diagnoses, and medical technology development. In recent years, the distributed healthcare blockchain system has been researched for solving the in…
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Hyena Hierarchy: Towards Larger Convolutional Language Models Open
Recent advances in deep learning have relied heavily on the use of large Transformers due to their ability to learn at scale. However, the core building block of Transformers, the attention operator, exhibits quadratic cost in sequence len…
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Strong Logic for Weak Memory: Reasoning About Release-Acquire Consistency in Iris Open
The field of concurrent separation logics (CSLs) has recently undergone two exciting developments: (1) the Iris framework for encoding and unifying advanced higher-order CSLs and formalizing them in Coq, and (2) the adaptation of CSLs to a…
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Implementation of Low-Power 6–8 b 30–90 GS/s Time-Interleaved ADCs With Optimized Input Bandwidth in 32 nm CMOS Open
A model for voltage-based time-interleaved sampling is introduced with two implementations of highly interleaved analog-to-digital converters (ADCs) for 100 Gb/s communication systems. The model is suitable for ADCs where the analog input …
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Predicting Target Language CCG Supertags Improves Neural Machine Translation Open
Neural machine translation (NMT) models are able to partially learn syntactic information from sequential lexical information. Still, some complex syntactic phenomena such as prepositional phrase attachment are poorly modeled. This work ai…
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27.3 Area-efficient 1GS/s 6b SAR ADC with charge-injection-cell-based DAC Open
To support growing data bandwidths, high-speed moderate-resolution ADCs have become vital for high-speed serial links. Interleaved SAR ADCs achieve high sampling speeds and good energy efficiency. However a challenge is that these ADCs are…
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The Essence of the Little Box Challenge-Part A: Key Design Challenges & Solutions Open
In order to expedite the development of power electronic systems towards higher power density and efficiency at a lower cost of implementation, Google and IEEE initiated the Google Little Box Challenge (GLBC) aiming for the worldwide small…
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Nonorthogonal Interleave-Grid Multiple Access Scheme for Industrial Internet of Things in 5G Network Open
To supporting the systematic requirements of higher spectrum efficiency and user deployment density in future Industrial Internet of Things (IIoT), traditional orthogonal multiple access schemes, such as orthogonal frequency-division multi…
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Meta-Learning with Warped Gradient Descent Open
Learning an efficient update rule from data that promotes rapid learning of new tasks from the same distribution remains an open problem in meta-learning. Typically, previous works have approached this issue either by attempting to train a…
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NeuPIMs: NPU-PIM Heterogeneous Acceleration for Batched LLM Inferencing Open
Modern transformer-based Large Language Models (LLMs) are constructed with a series of decoder blocks. Each block comprises three key components: (1) QKV generation, (2) multi-head attention, and (3) feed-forward networks. In batched proce…
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Simple and Controllable Music Generation Open
We tackle the task of conditional music generation. We introduce MusicGen, a single Language Model (LM) that operates over several streams of compressed discrete music representation, i.e., tokens. Unlike prior work, MusicGen is comprised …
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Corrections to “Highly Reconfigurable Microwave Photonic Waveform Generation Based on Time-Wavelength Interleaving” [Dec 20 Art. no. 5502512] Open
Presents corrections to affiiation information in the above named paper.
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Full-space metasurface holograms in the visible range Open
Conventional metasurface holography is usually implemented in either transmission space or reflection space. Herein, we show a dielectric metasurface that can simultaneously project two independent holographic images in the transmission an…
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GrammarViz 3.0 Open
The problems of recurrent and anomalous pattern discovery in time series, e.g., motifs and discords, respectively, have received a lot of attention from researchers in the past decade. However, since the pattern search space is usually int…
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Multi-resource interleaving for deep learning training Open
Training Deep Learning (DL) model requires multiple resource types, including CPUs, GPUs, storage IO, and network IO. Advancements in DL have produced a wide spectrum of models that have diverse usage patterns on different resource types. …
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Generalized Conditional Gradient for Sparse Estimation Open
Sparsity is an important modeling tool that expands the applicability of convex formulations for data analysis, however it also creates significant challenges for efficient algorithm design. In this paper we investigate the generalized con…