Visual AI Takes Center Stage at CES 2026: FIRSTHABIT's 'Chalk 4.0' Becomes the Silicon Valley of Eureka Park

Building on this momentum and the strong traction demonstrated at CES 2026, FIRSTHABIT believes its learning technologies are well positioned to scale in the U.S. and globally. The company remains ...

Chalk explained: Award-winning visual LLM for easy learning, how it works

The education technology sector has long struggled with a specific problem. While online courses make learning accessible, keeping students engaged remains difficult. Completion rates for massive open ...
IEEE

Few-Shot Learning Based on Multimodal Information Processing

Abstract: Few-shot learning aims to develop models with strong generalization capabilities using a small number of training samples. However, most learning methods rely solely on the visual features ...
IEEE

Information Bottleneck Driven Visual Fault Diagnosis Method Utilizing Manifold Learning With Inner-Autoencoder

Abstract: Traditional fault diagnosis methods often rely on limited visualization techniques, typically reducing monitoring data to simplistic curves and static thresholds, which can lead to ...
eLife

A neuromorphic model of active vision shows how spatiotemporal encoding in lobula neurons can aid pattern recognition in bees

Bees’ remarkable visual learning abilities make them ideal for studying active information acquisition and representation. Here, we develop a biologically inspired model to examine how flight ...
GitHub

Hierarchical Visual Prompt Learning for Continual Video Instance Segmentation (ICCV 2025)

Video instance segmentation (VIS) has gained significant attention for its capability in segmenting and tracking object instances across video frames. However, most of the existing VIS methods ...
Frontiers

A dual-branch deep learning model based on fNIRS for assessing 3D visual fatigue

Introduction: Extended viewing of 3D content can induce fatigue symptoms. Thus, fatigue assessment is crucial for enhancing the user experience and optimizing the performance of stereoscopic 3D ...
GitHub

Visionary-R1: Mitigating Shortcuts in Visual Reasoning with Reinforcement Learning

We reveal a critical limitation of GRPO when applied to visual language models (VLMs)—the tendency to develop shortcut learning. This finding highlights the need for better training techniques to ...
Frontiers

A transformation uncertainty and multi-scale contrastive learning-based semi-supervised segmentation method for oral cavity-derived cancer

Objectives: Oral cavity-derived cancer pathological images (OPI) are crucial for diagnosing oral squamous cell carcinoma (OSCC), but existing deep learning methods for OPI segmentation rely heavily on ...
C&EN

Cell-Free Protein Synthesis as a Method to Rapidly Screen Machine Learning-Generated Protease Variants

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Machine learning (ML) tools have revolutionized protein structure prediction, ...
Scientific Research Publishing

Zhu, L., Liao, B., Zhang, Q., Wang, X., Liu, W. and Wang, X. (2024) Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

ABSTRACT: The VMamba (Visual State Space Model) is built upon the Mamba model by stacking Visual State Space (VSS) modules and utilizing the 2D Selective Scan (SS2D) module to extend the original ...