Results 151 to 160 of about 6,692,580 (276)
A Generative Neuro‐Symbolic AI for Protein Sequence Design
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
Incentive-Aware End-to-End Covert Routing for Space-Air-Ground Integrated Networks. [PDF]
Deng Z, Li M, Sun N, Cao S, Gao Y, Xu Y.
europepmc +1 more source
A Parallel Evolutionary Search for Shortest Vector Problem [PDF]
Gholam Reza Moghissi, Ali Payandeh
openaire +1 more source
Integration of Reconfigurable p‐Bit and 1R Crossbar Array for Memristive Probabilistic Computing
A memristive probabilistic computing system is demonstrated by integrating stochastic p‐bits based on volatile memristors with a 1R crossbar array encoding interaction weights. The system performs weighted‐sum operations across the array and updates p‐bits iteratively.
Keunho Soh +7 more
wiley +1 more source
A user equilibrium traffic assignment model based on the most reliable paths. [PDF]
Xu T, Liu Y, Mao Y.
europepmc +1 more source
HfO2‐based ferroelectrics exhibit wake‐up and fatigue behaviors during electrical cycling, significantly affecting device endurance and reliability. These phenomena are governed by defect dynamics, including oxygen vacancy redistribution and charge trapping.
Hongseok Kim +6 more
wiley +1 more source
HierX: Fast multiscale distance-decay interaction on million-node networks. [PDF]
Hellervik A, Bohlin J, Andersson C.
europepmc +1 more source
Lattice-Based Cryptography and the Shortest Vector Problem
Record ID: 243 Award(s): Excellence in Research Communication Program Affiliation: McNair Scholars Program Presentation Type: Podium Abstract: Cryptography is the practice of writing and solving codes that are used to protect private information ...
Storts, Nathan, Kim, Seungki
core
Stochastic Entanglement of Deterministic Origami Tentacles For Robust Robotic Grasping
This study introduces an origami tentacle gripper to robustly grasp objects‐in air, underwater, and even in orbital space‐by exploiting a synergy between local, deterministic deformation programming and global, stochastic entanglements. A single origami tentacle can be designed to coil with a simple tendon pull.
Alec Boron +4 more
wiley +1 more source
This study developed an efficacy assessment platform that integrates patient‐derived gastric cancer organoids, atomic force microscopy (AFM)‐based nanomechanical vibration detection, deep learning analysis, and organoid mechanical modeling. It detects picomolar drug effects within 0.1 s signal, achieves 97% classification accuracy, and offers non ...
Ting Zhang +10 more
wiley +1 more source

