Overview / Summary
The Anuradha and Prashanth Palakurthi Centre for Artificial Intelligence Research (APPCAIR) focuses on advancing AI technologies through research, innovation, and collaboration. The Centre works on areas like machine learning, computer vision, data science, and robotics. It provides state-of-the-art computing facilities, expert guidance, and training programs to students, researchers, and industry partners. APPCAIR aims to create AI solutions that can address real-world challenges and contribute to technological progress in various sectors.
Vision
To be a leading centre of excellence in artificial intelligence research and innovation, driving cutting-edge technology to solve real-world problems and empower society.
Mission
- To conduct innovative research in artificial intelligence and related fields.
- To develop practical AI solutions that benefit society and industry.
- To provide high-quality education and training in AI for students and professionals.
- To foster collaboration between academia, industry, and government for AI advancement.
- To promote ethical and responsible use of AI technologies.
Aim & Objectives
To advance research, innovation, and education in artificial intelligence and related technologies for solving real-world problems and supporting societal development.
Objectives:
- To promote cutting-edge research in AI, machine learning, computer vision, and data science.
- To develop AI-based applications that address challenges in healthcare, education, industry, and more.
- To provide training and skill development programs for students, researchers, and professionals.
- To collaborate with industry and academic partners for joint research and technology transfer.
- To organize workshops, seminars, and conferences to spread awareness and knowledge in AI.
- To encourage ethical and responsible AI development ensuring transparency and fairness.
- To support startups and innovation initiatives in AI through mentorship and resources.
Campus
Pilani Campus
Goa Campus
Focus areas or Specializations of Center
Artificial Intelligence (AI):
Research and development in AI technologies like machine learning, deep learning, and natural language processing.
Data Science & Analytics:
Analyzing large sets of data to find patterns and useful information.
Computer Vision:
Teaching computers to understand and interpret images and videos.
Robotics & Automation:
Creating intelligent machines and systems that can perform tasks automatically.
AI Applications:
Developing AI solutions for healthcare, finance, education, and other industries.
Research and development in AI technologies like machine learning, deep learning, and natural language processing.
Data Science & Analytics:
Analyzing large sets of data to find patterns and useful information.
Computer Vision:
Teaching computers to understand and interpret images and videos.
Robotics & Automation:
Creating intelligent machines and systems that can perform tasks automatically.
AI Applications:
Developing AI solutions for healthcare, finance, education, and other industries.
Key facilities or Resources provided by the Center
High-Performance Computing Labs:
Powerful computers and servers for running AI experiments and training models.
AI Software & Tools:
Access to latest AI frameworks and programming environments.
Data Sets:
Collections of data available for training and testing AI models.
Collaboration Spaces:
Rooms and online platforms for teamwork and discussions among researchers and students.
Library & Digital Resources:
Books, research papers, and online resources related to AI and data science.
Powerful computers and servers for running AI experiments and training models.
AI Software & Tools:
Access to latest AI frameworks and programming environments.
Data Sets:
Collections of data available for training and testing AI models.
Collaboration Spaces:
Rooms and online platforms for teamwork and discussions among researchers and students.
Library & Digital Resources:
Books, research papers, and online resources related to AI and data science.
Services
- Research Support:
Helping students and faculty with AI-related research projects and experiments. - Technical Assistance:
Providing help with AI software, programming tools, and computing resources. - Consulting Services:
Offering expert advice to industries and startups on AI solutions and applications. - Collaboration Opportunities:
Facilitating partnerships between academia, industry, and government organizations. - Project Mentorship:
Guiding students and researchers in developing AI projects and theses. - Workshops & Training Programs:
Conducting educational programs to build skills in AI and data science. - Resource Sharing:
Providing access to AI datasets, software tools, and computing infrastructure.
Training & Workshops
AI & Machine Learning Workshops:
Practical sessions on building AI models, algorithms, and understanding machine learning concepts.
Data Science Training:
Programs focused on data analysis, visualization, and using data for making smart decisions.
Deep Learning Workshops:
Training on neural networks and advanced AI techniques.
Computer Vision & Robotics Workshops:
Hands-on learning on how computers interpret images and how to build intelligent robots.
Ethics in AI Workshops:
Discussions on responsible and ethical use of artificial intelligence technologies.
Seminars & Expert Talks:
Sessions led by AI professionals and researchers sharing latest trends and knowledge.
Certification Courses:
Short-term courses with certification to boost skills in AI and related areas.
Practical sessions on building AI models, algorithms, and understanding machine learning concepts.
Data Science Training:
Programs focused on data analysis, visualization, and using data for making smart decisions.
Deep Learning Workshops:
Training on neural networks and advanced AI techniques.
Computer Vision & Robotics Workshops:
Hands-on learning on how computers interpret images and how to build intelligent robots.
Ethics in AI Workshops:
Discussions on responsible and ethical use of artificial intelligence technologies.
Seminars & Expert Talks:
Sessions led by AI professionals and researchers sharing latest trends and knowledge.
Certification Courses:
Short-term courses with certification to boost skills in AI and related areas.