Results 51 to 60 of about 1,460,452 (290)

On‐Chip Photonic Neural Network Architectures

Advanced Optical Materials, EarlyView.
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong, Berkay Neseli, Seungyeon Cho, Seungsoo Lee, Yeonjun Kim, Seungyoon Choi, Hyo‐Hoon Park, Hamza Kurt   +7 more
wiley   +1 more source

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

Evaluating the Performance of Large Language Models for Geometry and Simulation File Generation in Physics-Based Simulations

Applied Sciences
Finite-element simulations and computer-aided design workflows require complex preprocessing, with geometry creation and simulation setup traditionally demanding significant manual expertise.
Ossama Shafiq, Amin Rahmat, Alessio Alexiadis, Bahman Ghiassi   +3 more
doaj   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Efficient quantum algorithms for set operations

Scientific Reports
Analyzing the relations between Boolean functions has many applications in many fields, such as database systems, cryptography, and collision problems. This paper proposes four quantum algorithms that use amplitude amplification techniques to perform set
Rehab Elgendy, Ahmed Younes, H. M. Abu-Donia, R. M. Farouk   +3 more
doaj   +1 more source

A Non-Uniform Offset Algorithm for Milling Toolpath Generation Based on Boolean Operations

Applied Sciences, 2022
In milling, the advancement of CAM strategies has increased the need for tailored algorithms for semi-finished phase computation. In some cases (e.g., thin-wall milling), variable radial engagement of the tool during the toolpath is desired, leading to ...
Giuseppe Venturini, Niccolò Grossi, Lorenzo Morelli, Antonio Scippa   +3 more
doaj   +1 more source

DRIVE‐SAFE: Data‐Driven Robustness and Informed Validation for Evolving Specifications via Formal Evaluation

Advanced Robotics Research, EarlyView.
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano, Jianyu An, Dinesh Manocha, Huan Xu   +3 more
wiley   +1 more source

Dual-Mode 2T1C DRAM Process-In-Memory Architecture for Boolean and MAC Operations

IEEE Access
With the increasing demand for intelligent memory, the conventional memory system is more and more equipped with computational logic to support simple arithmetic and Boolean operations required by many real-world applications.
Yerim An, Honggu Kim, Dongjun Son, Hakrae Yu, Yong Shim   +4 more
doaj   +1 more source

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

Advanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang, Ronghuan Xie, Qiang Cao, Shishen Yan, Xiaolin Wang, Limei Zheng   +5 more
wiley   +1 more source

Terahertz binary computing in a coupled toroidal metasurface

Scientific Reports
The applications of terahertz metamaterials are being actively explored in recent times for applications in high-speed communication devices, miniature photonic circuits, and bio-chemical devices because of their wide advantages.
Angana Bhattacharya, Bhagwat Singh Chouhan, Kajal Sharma, Sami M. Halawani, Amir Ahmad, Gagan Kumar   +5 more
doaj   +1 more source