Results 71 to 80 of about 8,896,164 (281)
Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su +13 more
wiley +1 more source
A verifiable scheme for differential privacy based on zero-knowledge proofs
The protection of personal privacy has become a paramount issue in the field of data science, with its significance continuously rising. Differential privacy technology has garnered significant attention for its effectiveness in preserving individual ...
Jianqi Wei +4 more
doaj +1 more source
UAVs are increasingly being used in various domains, from personal and commercial applications to military operations. Ensuring the security and trustworthiness of UAV communications is crucial, and blockchain technology has been explored as a solution ...
Athanasios Koulianos +3 more
doaj +1 more source
On the Concurrent Composition of Zero-Knowledge Proofs [PDF]
We examine the concurrent composition of zero-knowledge proofs. By concurrent composition, we indicate a single prover that is involved in multiple, simultaneous zero-knowledge proofs with one or multiple verifiers. Under this type of composition it is believed that standard zero-knowledge protocols are no longer zero-knowledge.
Ransom Richardson, Joe Kilian
openaire +2 more sources
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
Zero-Knowledge Proofs with Witness Elimination [PDF]
Zero-knowledge proofs with witness elimination are protocols that enable a prover to demonstrate knowledge of a witness to the verifier that accepts the interaction provided that the witness is valid for a given statement and additionally the witness does not belong to a set of eliminated witnesses .
Aggelos Kiayias, Hong-Sheng Zhou
openaire +2 more sources
Cross‐disciplinary endeavors are blossoming across the broad chemical sciences. This perspective provides a glimpse into the rewarding interdisciplinary journey taken by the Charles Loh research group in pioneering the σ‐hole based catalytic glycosylation strategy.
Charles C. J. Loh
wiley +1 more source
Blockchain-Enabled Zero Trust Architecture for Privacy-Preserving Cybersecurity in IoT Environments
This research introduced a new novel “Unified Quantum-Resilient Blockchain-Zero-Knowledge Proofs Privacy Authentication Framework (QBC-ZKPAF)” to upgrade the IoT environments with greater security.
Mohammed A. Aleisa
doaj +1 more source
We present a protocol for verification of ``no such entry'' replies from databases. We introduce a new cryptographic primitive as the underlying structure, the keyed hash tree, which is an extension of Merkle's hash tree. We compare our scheme to Buldas et al.'s Undeniable Attesters and Micali et al.'s Zero Knowledge Sets.
openaire +3 more sources

