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Crypto 2026 opens today: AI systems are now both tool and target of math attacks

CRYPTO 2026 opens August 17 at UC Santa Barbara, marking the first major cryptology conference since NIST finalized its ...
Tech Times on MSN

Las Vegas pilots AI crosswalk that follows pedestrians with light, closing AEB's nighttime gap

AI pedestrian crosswalk safety technology is now live in Las Vegas: an overhead system tracks each pedestrian with a directed LED beam as they cross -- addressing the IIHS-confirmed failure of vehicle ...

WiMi Explores Federated Training Framework for Hybrid Quantum-Classical Machine Learning Models

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, is exploring a federated training framework for hybrid ...

MicroCloud Hologram Inc. Launches Deep Spiking Quantum Neural Network Technology for Noisy Image Classification

SHENZHEN, China, July 30, 2026 (GLOBE NEWSWIRE) -- (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, launched a Deep Spiking Quantum Neural Network (DSQ-Net) for noisy image ...
British Journal of Ophthalmology

DeepAdapter: a generalisable algorithm integrating self-supervised learning and unsupervised domain adaptation for robust retinopathy of prematurity screening

Aims To develop and validate DeepAdapter, a novel deep learning algorithm that integrates self-supervised learning (SSL) and unsupervised domain adaptation (UDA) to enhance model generalisability for ...
PNAS

Correction for Anand et al., Convolutional neural networks outperform other presence-only species distribution modeling algorithms

The authors note that, due to a production error, Figures 1–4 appeared in the incorrect order. Figure 1 should appear as Figure 2, Figure 2 should appear as Figure 3, Figure 3 should appear as Figure ...
IEEE

Multiscale Convolutional Neural Network With Self-Attention Mechanism and Soft Thresholding for Industrial Process Fault Diagnosis

Abstract: This article proposes a multiscale convolutional neural network (MSCNN)-based fault diagnosis method (AM-MAST) using a self-attention mechanism and soft thresholding. It aims to improve the ...
PNAS

Emergent neuronal mechanisms mediating covert attention in convolutional neural networks

Cues predictive of target locations orient covert attention, improving perceptual performance. Studies have focused on attentional influences on neural activity, but how cues activate attention and ...
Scientific Research Publishing

Viterbi, A. (1967) Error Bounds for Convolutional Codes and an Asymptotically Optimum Decoding Algorithm. IEEE Transactions on Information Theory, 13, 260-269.

ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...