Mixed-Level Knowledge Representation and Variable-Depth Inference in Natural Language Processing [PDF]
, 1999 Michael Heß
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Advanced Electronic Materials, EarlyView.A biocompatible graphene/ZnO optical charge trap memory (CTM) is reported with over 54 h retention, enabled by interfacial photodoping. Using transient absorption spectroscopy and electrical analysis, charge transfer quenching is elucidated and reveal that a large energy barrier at the interface is responsible for long‐term memory retention.
Seungmin Shin +10 more
wiley +1 more source
FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking [PDF]
Jabez Magomere +4 more
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Conformal Reconfigurable Intelligent Surfaces: A Cylindrical Geometry Perspective
Advanced Electronic Materials, EarlyView.Cylindrical reconfigurable intelligent surfaces are explored for low‐complexity beam steering using one‐bit meta‐atoms. A multi‐level modeling approach, including optimization‐based synthesis, demonstrates that even minimal hardware can support directive scattering.
Filippo Pepe +4 more
wiley +1 more source
When data permutations are pathological: the case of neural natural language inference [PDF]
, 2018 Natalie Schluter, Daniel Varab
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Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
Advanced Electronic Materials, EarlyView.This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
Producing power-law distributions and damping word frequencies with two-stage language models
, 2011 Standard statistical models of language fail to capture one of the most striking properties of natural languages: the power-law distribution in the frequencies of word tokens.
Johnson, Mark +2 more
core
On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification
Advanced Electronic Materials, EarlyView.ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels +4 more
wiley +1 more source
Probing the Natural Language Inference Task with Automated Reasoning Tools
, 2020 Zaid Marji +2 more
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DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference [PDF]
, 2018 Reza Ghaeini +9 more
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