Oct 28, 2021
Interpretable AI
Prof. Cynthia Rudin For quite a long time, researchers and the public were thrilled by the wonders of machine learning. However, over the period of time, the community realized that the machine learning models aren’t a magic wand and they are as best as the data provided to them during the training and development stage. As the world started making decisions based on AI, there were soon conflicts between human and machine intelligence and therefore the need for explainability of black-box models become apparent.

5 min read

Sep 30, 2021
Machine Learning for Robot Locomotion: Grounded Learning and Adaptive Parameter Learning
Dr.Peter Stone Robot locomotion continues to remain a challenging problem in spite of the advances in the field. To gain more insights on the topic, a talk on “Machine Learning for Robot Locomotion: Grounded Learning and Adaptive Parameter Learning” was organized as a part of the fourth latent colloquium on 30th September 2021. The talk was delivered by Prof. Peter Stone, who is the David Bruton, Jr. Centennial Professor and Associate Chair of Computer Science, as well as Director of Texas Robotics, at the University of Texas at Austin.

3 min read

Sep 20, 2021
SUTRA: Predicting COVID-19 peaks
Prof. M. Vidyasagar, FRS COVID-19 pandemic is testing times for entire humanity and hopes are on science to provide predictions and solutions to wade through and curb this pandemic. Scientists across the world have joined forces and are trying to answer a variety of questions regarding the COVID-19 infection such as how does the infection spread?, how does the virus infect human cells? How can we stop the infection spread?

4 min read

Sep 15, 2021
Are DNA variants bugs or features?
Dr. Yana Bromberg With high throughput sequencing technologies available, we can sequence a large number of genomes now and look at the variations in DNA sequences between various organisms and in a population. But how do we identify whether the changes in DNA sequence between two organisms do translate to functional changes or have no effect? This question was taken up for the Eighth IBSE Colloquium talk which was co-organized by RBCDSAI.
DNA , IBSE

2 min read

Aug 12, 2021
AI Powered Automatic Medical Coding of Electronic Health Records
Sudarsun Santhiappan Jeshuren Chelladurai Medical coding (codifying the medical records) has essentially remained a human powered job since its inception. BUDDI.AI aims to change that by partially automating the process using AI technology. To know more about BUDDI.AI, a talk on “AI Powered Automatic Medical Coding of Electronic Health Records'' was organized as a part of second RBCDSAI AImpact Seminar on 12th August 2021. The talk was delivered by Sudarsun Santhiappan (Co-founder of BUDDI.

2 min read

Jul 21, 2021
Data Commons (The open knowledge Repository)
Dr. Ramanathan Guha A famous mathematician and a data scientist enthusiast, Clive Humby, once said that “Data is the new oil”. Indeed, data is valuable and an untapped resource! However, most of the data currently is in its raw format and can only become valuable once it is cleaned to be used for creating insights. To know how Data Commons is trying to achieve this aim, Dr. Ramanathan Guha, who is a Google Fellow, Vice President at Google and also leading the Data Commons project, was invited to deliver the third RBCDSAI Latent View Colloquium talk on “Data Commons (The open knowledge Repository)” on 21st July 2021.

2 min read

Jun 22, 2021
Coffee shop banter: Symbolic or Deep Learning? Promising directions of AI
Sparks flew when friends, Prof. Sriraam Natarajan, UT Dallas and Prof. Kristian Kersting, TU Darmstadt decided to get together over a cup of coffee and discuss on the topic “Symbolic or Deep Learning? Promising directions of AI”. The talk started with setting up the stage with “AI is changing the world and has a huge impact in economics, drug development, agriculture etc.” Kristian believes that AI should be an engine for innovation.

3 min read

Jan 21, 2021
Fireside chat: with RBCDSAI Distinguished Fellow Prof. Srinivasan Parthasarathy
Ethics in AI is one of the most discussed topics in recent times. Read about the fireside chat with Prof. Srinivasan Parthasarathy where he spoke about AI, Data Science, and Ethics. Get to know the various challenges and solutions embraced by different service providers to keep their clients safe and happy.

3 min read