MLAI Conference

International Conference on Machine Learning and Artificial Intelligence

MLAI 2024    WILL BE HELD IN ONLINE CONFERENCE EVENT VIA ZOOM during May 17-19, 2024

CONFERENCE DESCRIPTION

The MLAI’2024 conference marks a significant event focusing on the domains of Machine Learning (ML) and Artificial Intelligence (AI). Set to be online from May 17-19, 2024, this conference provides a global platform for researchers to exchange insights, present cutting-edge studies, and drive advancements in ML and AI.

IMPORTANT DATES:

- Abstract Submission Deadline: April 15, 2024

- Notification Deadline: April 17, 2024

- Registration Deadline: April 20, 2024

SUBMISSION GUIDELINES:

Language: English

Submissions must be emailed to ictnpe@gmail.com

The review process will be double-blinded, and submissions must be anonymized. The following submission categories are welcome:

- Extended Abstract: Approximately 800-2000 words (excluding references), including the purpose, methodology, major findings, and contribution of the research, along with suitable keywords.

- Full Paper: Full-length papers, not exceeding 8,000 words, including tables and figures (excluding references). Manuscripts should be submitted in a single file containing the title page (without author details), the main manuscript, and the references.

CONFERENCE TOPICS:

The conference encompasses cutting-edge advancements in Artificial Intelligence, Machine Learning, and Neural Networks, exploring various aspects within each track. Key topics for consideration include, but are not limited to:

Track 1: Foundations of Artificial Intelligence

- Agent-Based Systems, Expert Systems

- Machine Learning Algorithms and Models

- Deep Learning Architectures

- Natural Language Processing

- Computer Vision and Image Recognition

- Speech and Audio Processing

- Explainable AI

- Reinforcement Learning

- Cognitive Computing

Track 2: Machine Learning Applications

- Predictive Analytics

- Recommender Systems

- Fraud Detection

- Healthcare Informatics

- Financial Forecasting

- Autonomous Vehicles

- Virtual Assistants

- Personalized Marketing

- Industry-specific Applications

 

Track 3: Neural Networks and Deep Learning

- Neural Network Architectures

- Convolutional Neural Networks (CNN)

- Recurrent Neural Networks (RNN)

- Generative Adversarial Networks (GAN)

- Transfer Learning

- Meta-Learning

- Explainable Deep Learning

- Hybrid Models

- Neuromorphic Computing

Track 4: AI in Robotics and Automation

- Robotic Process Automation (RPA)

- Human-Robot Collaboration

- Autonomous Robots

- Intelligent Automation

- AI for Smart Manufacturing

- Robotics in Healthcare

- Drone Technology

- AI in Agriculture

- Ethical and Social Implications of AI in Robotics

Track 5: Ethical and Responsible AI

- Bias and Fairness in AI

- Transparency and Accountability

- AI Ethics and Regulations

- Privacy and Security Concerns

- Responsible AI Practices

- Socio-cultural Impact of AI

- Human-Centric AI Design

- Bias Mitigation Strategies

- Trust in AI Systems

Track 6: Future Trends in AI

- Edge Computing for AI

- Quantum Computing and AI

- AI in Edge Devices

- Federated Learning

- Swarm Intelligence

- Autonomous Systems

- AI-driven Creativity

- AI and Climate Change Solutions

- Ethical and Sustainable AI Development

Track 7: Industry Applications and Case Studies

- AI in Healthcare

- Financial Technologies

- Education and E-Learning

- Smart Cities and Urban Planning

- Cybersecurity

- Media and Entertainment

- Customer Service and Chatbots

- Energy and Sustainability

- Legal and Ethical Considerations in AI Applications

Track 8: Neural Network Hardware and Accelerators

- Hardware Architectures for Neural Networks

- FPGA and ASIC Implementations

- GPU Acceleration

- Edge AI Chips

- Neuromorphic Hardware

- Quantum Computing Hardware

- Energy-Efficient AI Hardware

- Benchmarking and Performance Optimization

Track 9: Cognitive Computing and Brain-Inspired AI

- Cognitive Computing Models

- Brain-Computer Interfaces

- Cognitive Robotics

- Neuroinformatics

- Neuromorphic Engineering

- Brain-inspired Algorithms

- Cognitive Computing Applications

- AI for Brain Disorders and Healthcare

 

Track 10: AI Education and Research

- AI Curriculum and Pedagogy

- AI Research Methodologies

- AI in Educational Technologies

- Skill Development in AI

- Research Collaboration and Networking

- Challenges and Opportunities in AI Education

- AI-driven Research and Discoveries

- Industry-Academia Partnerships in AI

REGISTRATION:

Registration fee for the Corresponding Author: 50 USD (includes publishing and presenting accepted abstracts or papers).

PUBLICATION:

Proceedings of all accepted abstracts and papers from MLAI’2024 will be published in a special issue of IJSRIS Journal (ISSN/ 2820-7157) with fast-track review.

VENUE

MLAI’2024 WILL BE HELD ONLINE VIA ZOOM.

CONTACT

For any inquiries or clarifications, please email ictnpe@gmail.com.