Multi-modal Learning

Predicting Market Swings: A New AI Model Integrates Financial News and Data for Better Volatility Forecasts

MDiCo: Enhancing Earth Observation Models with Collaborative Learning and Incomplete Sensor Data

Recently Added

Advancing AI’s Continuous Learning in Audio-Visual Understanding

A New Multi-Modal Approach to Detecting Android App Misbehavior

Mesh-Gait: Advancing Gait Recognition with Efficient 3D Reconstruction from 2D Silhouettes

Combo-Gait: A Unified AI Framework for Advanced Human Identification and Attribute Analysis

BEV-VLM: A Unified Approach to Autonomous Driving Trajectory Planning

Forecasting Ground Movement: A Multi-Modal Transformer Achieves Unprecedented Accuracy

TAP: A Two-Stage Approach for Personalized Multi-Modal Federated Learning

ProtoMedX: Enhancing Bone Health Diagnosis with Explainable Multi-Modal AI

Adaptive Robot Dressing System Uses Vision and Force Feedback

Advancing Cancer Characterization Through Integrated Tissue and Gene Expression Analysis

Enhancing Recommendations for New Items: Introducing MAMEX for Cold-Start Scenarios

Enhancing Vision-Language Models: A New Approach to Prompt Tuning Through Visual Disentanglement

ChoreoMuse: Crafting Dynamic Dance Videos from Music and Images with Style Control

VIBE: Predicting Brain Activity from Multi-Modal Video Inputs

Bridging the Gap: How AI Models Learn Across Different Data Types

TriCLIP-3D: A Unified Framework for 3D Visual Grounding with Enhanced Efficiency

Advancing Alzheimer’s Diagnosis Through Causal AI and Multi-Modal Data

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Adapting Object Detectors for Missing Infrared and Visible Modalities

November 11, 2025

Isaac Lab: Advancing Robot Learning with GPU-Accelerated Simulation

November 10, 2025

DAMPE: A New AI Approach for Comprehensive Protein Understanding

October 28, 2025

Financial Sector Fortifies Against Surging AI-Powered Scams

Deloitte’s 2025 Outlook: Navigating Escalating AI Challenges in Human Capital

Salesforce Study Reveals Data Quality is Pivotal for Employee Trust in AI Adoption

Top Executives Sidestep Company AI Guidelines, Fueling Shadow AI Risks

Intel’s Evolving IP Strategy: A Calculated Shift Towards Core AI Innovation

Generative AI Prompts Increased Workforce Surveillance in Indian IT Sector

Financial Sector Fortifies Against Surging AI-Powered Scams

Deloitte’s 2025 Outlook: Navigating Escalating AI Challenges in Human Capital

Salesforce Study Reveals Data Quality is Pivotal for Employee Trust in AI Adoption

Top Executives Sidestep Company AI Guidelines, Fueling Shadow AI Risks

Intel’s Evolving IP Strategy: A Calculated Shift Towards Core AI Innovation

Generative AI Prompts Increased Workforce Surveillance in Indian IT Sector

Isaac Lab: Advancing Robot Learning with GPU-Accelerated Simulation

DAMPE: A New AI Approach for Comprehensive Protein Understanding

Predicting Market Swings: A New AI Model Integrates Financial News and Data for Better Volatility Forecasts

MDiCo: Enhancing Earth Observation Models with Collaborative Learning and Incomplete Sensor Data

Recently Added

Advancing AI’s Continuous Learning in Audio-Visual Understanding

A New Multi-Modal Approach to Detecting Android App Misbehavior

Mesh-Gait: Advancing Gait Recognition with Efficient 3D Reconstruction from 2D Silhouettes

Combo-Gait: A Unified AI Framework for Advanced Human Identification and Attribute Analysis

BEV-VLM: A Unified Approach to Autonomous Driving Trajectory Planning

Forecasting Ground Movement: A Multi-Modal Transformer Achieves Unprecedented Accuracy

TAP: A Two-Stage Approach for Personalized Multi-Modal Federated Learning

ProtoMedX: Enhancing Bone Health Diagnosis with Explainable Multi-Modal AI

Adaptive Robot Dressing System Uses Vision and Force Feedback

Advancing Cancer Characterization Through Integrated Tissue and Gene Expression Analysis

Enhancing Recommendations for New Items: Introducing MAMEX for Cold-Start Scenarios

Enhancing Vision-Language Models: A New Approach to Prompt Tuning Through Visual Disentanglement

ChoreoMuse: Crafting Dynamic Dance Videos from Music and Images with Style Control

VIBE: Predicting Brain Activity from Multi-Modal Video Inputs

Bridging the Gap: How AI Models Learn Across Different Data Types

TriCLIP-3D: A Unified Framework for 3D Visual Grounding with Enhanced Efficiency

Advancing Alzheimer’s Diagnosis Through Causal AI and Multi-Modal Data

Gen AI News and Updates

Adapting Object Detectors for Missing Infrared and Visible Modalities

Isaac Lab: Advancing Robot Learning with GPU-Accelerated Simulation

DAMPE: A New AI Approach for Comprehensive Protein Understanding

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