With the increasing possibilities, use and development of Artificial Intelligence (AI), the fields of medicine and biological research have also been touched on favourably by AI. ANN, a very intriguing and heavily researched branch of AI, stands for ‘Artificial Neural Networks. These are vaguely inspired and mimic the functionality of the neural networks present in an actual animal brain. Simply put, they are digitized models of the biological brain. Generated by computers, these mathematical algorithms are based on a collection of connected units or nodes called artificial neurons. ANNs have the potential to self-learn from standard data and solve problems that would otherwise be impossible or difficult for humans to solve. They produce better results by fathoming the knowledge in data as more information is available or provided. ANNs have many applications in cardiology, diagnosis, electronic signal analysis, medical image analysis, radiology, pharmacoepidemiology and medical data mining.
This webinar will focus on what ANNs are, the types and applications. The uses of Artificial Neural Networks in Medical Science, their potential and their possibilities will be discussed. Students who are interested in these fields shall attend the virtual seminar. Thus it could be an excellent opportunity for them to understand their scopes in the areas of Artificial Neural Networks.

Keynote Speaker:
Dr. Saaveethya Sivakumar
Chairperson, IEEE Region 10, Young Professionals Committee

Time Details:
Date: 14th June 2021
Time: (07:00 PM to 08:30 PM) GMT +6 | (6:30 PM to 8:00 PM) GMT +5:30
Web Platform: Google Meet

Registration Link:
https://forms.gle/5NJ6vZuVQ7EkPQYH6