eLife

Predicting human decision-making across task conditions via individuality transfer

Encoding individual behavioral traits into a low-dimensional latent representation enables the accurate prediction of decision-making patterns across distinct task conditions.
Scientific Research Publishing

Geo-Refined Point Transformer: Coordinate-Aware Excitation and Positional Upsampling for 3D Scene Segmentation ()

The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
IEEE

Attention-Based Convolutional Neural Network Model for Skin Cancer Classification

Abstract: Early detection of skin cancer (SC) is paramount for effective treatment. Although convolutional neural networks (CNN) have facilitated automated learning of high-level features from ...
Devdiscourse

QR codes emerge as unlikely ally in the fight against card fraud

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

Ambarella Pitches Edge AI Pivot at Needham Conference, Ramping Transformer-Ready CV7 and N1 Chips

Ambarella (NASDAQ:AMBA) used an appearance at the 28th Annual Needham Growth Conference to outline its transition from a ...
IEEE

Skeleton-Based Continuous Scale Parkinsonian Gait Score Estimation Using Omni-Dimensional Self-Attention Convolution Networks

Abstract: Gait abnormalities constitute a primary motor symptom of Parkinson’s disease (PD). Clinically, the Movement Disorder Society Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) is widely ...