day 1 agenda

Global Insight conference on Artificial Intelligence
July 11-12, 2024, Paris, France
Tentative Program
 Day 1- July 11, 2024 
08:00-08:45 Welcome & Registrations
08:45-09:00 Opening Remarks
KEYNOTE FORUM
GICAI-2024 AI-based approaches for cell segmentation on in vivo reflectance confocal microscopy images
Georgios Stamatas, Scientific Director, France
GICAI-2024 The Road Ahead: Merging Human Cyber Security Expertise with Generative AI
Brennan Lodge, New York University, USA
Group Photo
Refreshment Break 
Technical session- I
GICAI-2024 Building a resources sober artificial intelligence(AI) framework
Caroline Gans-Combe, INSEEC Business School, France
GICAI-2024 Intelligence without Consciousness is Artificial Intelligence
Anna Farzindar, Loyola Marymount University, USA
GICAI-2024 Deep multi-model fusion network based real object tactile understanding from haptic data
Joolekha Bibi Joolee, Heriot-Watt University, UAE
GICAI-2024 Speaker Slot Available
GICAI-2024 Leveraging Artificial Intelligence and Behavioral Biometrics for Early Diagnosis of Neurodegenerative Diseases
Vincenzo Dentamaro, University of Bari Aldo Moro, Italy
GICAI-2024 The Ascent of AI: Predicting Drug-Induced Liver Injury
Wieda Tong, FDA's National Center for Toxicological Research, USA
Lunch Break
Technical session- II
GICAI-2024 Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training
Yang You, National University of Singapore, Singapore
GICAI-2024 A Hybrid Recommender System for Recommending Smartphones to Prospective Customers
Pratik K. Biswas, Verizon, USA
GICAI-2024 Speaker Slot Available
GICAI-2024 Artificial Intelligence for Emerging Systems and Applications:The Triumph and Tribulation
Danda B. Rawat, Howard University, USA
GICAI-2024 The Notion of Time in Artificial Intelligence
Jixin Ma, University of Greenwich, U.K
GICAI-2024 Speaker Slot available
GICAI-2024 Bag of Feature and Support Vector Machine Based Early Diagnosis of Skin Cancer
Alvaro Rocha, University of Lisbon, Portugal
Refreshment Break 
GICAI-2024 Multi-Musical Instrument Recognition Neural Network
Bardia Timouri, British Columbia Institute of Technology, Canada
GICAI-2024 Speaker Slot Available
GICAI-2024 Integrating Artificial Intelligence Techniques for Enhancing Usability Evaluation of Interactive Systems through a Fuzzy Multi-Factor Evaluation (MFE) Model
Adeleh Asemi Zavareh, University of Malaya, Malaysia
GICAI-2024 Speaker Slot Available
GICAI-2024 A Technological Perspective of Data Preparation in the Age of AI
Martin Koehler, University of Vienna, Austria
Pannel Discussions 
Note: This program is tentative and may be subject to change
We are still accepting the abstracts. To book your slot, contact Mr. Thomas Austin: thomas_austin@gic-ai.org

day 2 agenda

posters agenda

Updating Soon....

virtual agenda

Global Insight conference on Artificial Intelligence
July 11-12, 2024, Paris, France
Virtual PROGRAM
   
101 Machine learning techniques for the ab initio Bravais lattice determination
Inma Conde, University of Sydney , Australia
102 An improved spherical evolution with enhanced exploration capabilities to address wind farm layout optimization problem
Haichuan Yang, Tokushima University, Japan
   
103 A Deep Learning Model for Predicting COVID-19 ARDS in Critically Ill Patients
Yang Zhou, Shanghai Jiaotong University, China
   
104 Speaker Slot Available
   
105 Speaker Slot Available
   
106 Socially Responsible AI for Well-being: Highlights and Perspectives from the AAAI 2023 and 2024 Spring Symposia
Takashi Kido, Teikyo University, Japan
   
107 Predicting new crescent moon visibility applying machine learning algorithms
Murad Al-Rajab, Abu Dhabi University, UAE
   
108 Signature-based adaptive cloud resource usage prediction
Wiktor Sus,  AGH University of Krakow, Poland
   
109 Speaker Slot Available
   
110 Artificial intelligence, fundamental rights and digital constitutionalism – a necessary dialogue
Paola Cantarini, USP-RP/USP-IEA/Ethikai, Brazil
   
111 Speaker Slot Available
   
112 Leveraging Mobile Phone Sensors, Machine Learning, and Explainable Artificial Intelligence to Predict Imminent Same-Day Binge-drinking Events to Support Just-in-time Adaptive Interventions: Algorithm Development and Validation Study
Sang Won Bae, Stevens Institute of Technology, USA
   
113 Speaker Slot Available
   
114 Speaker Slot Available
   
115 Speaker Slot Available
   
116 Speaker Slot Available
   
117 Speaker Slot Available
Note: This program is tentative and may be subject to change
We are still accepting the abstracts. To book your slot, contact Mr. Thomas Austin: thomas_austin@gic-ai.org

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