Sep 20, 2021
SUTRA: Predicting COVID-19 peaks
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 18, 2021
Mind the messenger: Analyzing the SARS-CoV-2 transcriptome
Coronavirus disease 19 (COVID-19), a severe respiratory disease caused by infection with the novel SARS-CoV-2 virus, has impacted almost every nation globally, making it a pandemic. More than 4.91 billion doses of vaccines have been administered worldwide, but the number of infections continues to rise. mRNA-based vaccines have been developed to bring the pandemic under control in some parts of the world. This brief review will give an overview of how mRNA vaccines work and what we can learn from the transcriptome of COVID-19 patients to identify the significant marker genes responsible for disease severity and mortality.

8 min read

Sep 17, 2021
CombSGPO: A new algorithm to protect wildlife
Aravind Venugopal , Elizabeth Bondi , Harshavardhan Kamarthi , Keval Dholakia , Balaraman Ravindran , Milind Tambe
Poaching and illegal smuggling of wildlife have remained a cause of concern for wildlife authorities. As per the World Wide Fund for Nature (WWF), Wildlife trade poses the second-biggest direct threat to the survival of species after habitat destruction. As per the study conducted by TRAFFIC, a leading wildlife trade monitoring networking of the World Wide Fund for Nature (WWF), around 1,11,312 individual tortoises or freshwater turtles (11,000 a year) have been illegally traded across India since 2009.

3 min read

Sep 16, 2021
Meet Dr. Arun Rajkumar
Biasness and discrimination are known to be human attributes but time and again AI has been in news for its biased behaviour too. Be it in shortlisting candidates for jobs at a reputed firm Amazon or predicting criminals, AI algorithms have failed on the fairness index. While experts understand that the problem lies with the data fed to AI algorithms, the public fears if this technology is used as such it will increase the existing divide in society.

2 min read

Sep 15, 2021
Meet Ananya B. Sai
We are surrounded by smart machines! The machines that speak our language, perform mundane tasks for us and solve our queries and problems. Conversational AI is a field that has opened doors for human-machine interaction and soon this technology will enable machines to talk to zillions in their native languages enabling their technology inclusion. But as we move forward to that path, it is of utmost importance to carry out frequent checks to ensure that the chatbots can interpret our query and language correctly and respond accordingly.

2 min read

Sep 13, 2021
A new framework to lend loans in a smarter way
Undoubtedly, loans are one of the major sources of income for banks and other related financial institutions. A loan helps the customers to meet their short term financial needs and the interest given by the customer is the way a bank makes a profit. At once it may seem that extending more loans can increase the profit of such financial institutions, however, laxity in granting loans can lead to more losses as many customers may default on the loan repayment.

2 min read

Sep 13, 2021
Cybercrimes and crime against women increased while other crimes declined during the COVID-19 lockdown
COVID-19 pandemic brought the world to a grinding halt. Nations shut down the non-essential services to cut down the transmission of this new unknown disease. Whilst hospitalizations and mortality were the direct consequences of this undesirable pandemic phase, people suffered due to loss of jobs and for the poor, it became difficult even to make the two ends meet. Experts debated on whether the damage to the economy will be worse than the spread of infection and associated hospitalization and mortality.

2 min read

Sep 3, 2021
The Heads Hypothesis: A Unifying Statistical Approach Towards Understanding Multi-Headed Attention in BERT
Madhura Pande
BERT has been a top contender in the space of NLP models. With its sucess, a parallel stream of research, named BERTology, has emerged, that tries to understand how does BERT work so well. With the similar objective, this blog explains a novel technique for analysing the behaviour of BERT’s attention heads. Read this for interesting insights which unravel the inner working of BERT!

5 min read

Jul 20, 2021
Meet Dr. Karthik Raman
Fiction as it may seem, a day is just around the corner when we will fix our bodies using the tiny microbes that we may otherwise fear. While we already have probiotics that help us with digestive problems, soon, we will have curds and microbial cocktails to cure anxiety, depression, heart issues and many more. Dr Karthik Raman’s interest lies in these tiny beings! He loves to study these bugs that reside in our body to understand their interactions, complex machinery, and how they function in toto.

4 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

Apr 10, 2021
Meet Dr. Lelitha Devi
Toxic air and congestion on the road are the grim realities of the metropolitan cities of India. Prof. Lelitha Devi, who has been working in the area of transportation engineering for nearly two decades, believes that a strong push for public transportation backed by technology and policy is required to make it an attractive option for daily commuters. Her team at IIT Madras is working to bring about that change.

3 min read

Mar 14, 2021
Meet Preksha Nema
Curiosity, questioning and understanding sentiments have long been considered human attributes. Preksha Nema, a young scientist’s research is all set to change this! Through her research in natural language processing or popularly called NLP, she is trying to shatter the human-machine boundary by giving computers the magical power to question. Born in Jabalpur city located in the heart of India, Madhya Pradesh, Preksha was fascinated by puzzles and computers from early on.

2 min read

Feb 10, 2021
Levelling up NLP for Indian Languages
Divyanshu Kakwani , Anoop Kunchukuttan , Satish Golla , Gokul N.C , Avik Bhattacharyya , Mitesh M Khapra , Pratyush Kumar
We are working towards building a better ecosystem for Indian languages while also keeping up with the recent advancements in NLP. To this end, we are releasing IndicNLPSuite, which is a collection of various resources and models for Indian languages

6 min read

Feb 9, 2021
Developing India-specific pregnancy dating model from Garbhini cohort
Ashley Xavier , Himanshu Sinha , Nikhita Damaraju
The duration of gestation of pregnancy is the period between the date of conception and date of delivery, which is about 40 weeks of gestation. Estimating gestational age is crucial for accurate prediction of the date of delivery and classifying it as term or preterm, a birth occurring before 37 weeks of gestation. Preterm birth is one of the leading causes of complications for the newborn that can lead to its death.

3 min read

Jan 28, 2021
Meet Dr. Gitakrishnan Ramadurai
Why is everyone heading in the same direction? Is there an accident ahead? When will I reach home? Why can’t cars fly? These are some of the thoughts that cross our minds while stuck in a traffic jam. As time slowly glides, we are nothing but full of frustration. For Dr. Gitakrishnan Ramadurai, however, this is an exciting opportunity! An opportunity to understand the complex, heterogeneous nature of Indian traffic and thinking of the ways artificial intelligence can solve the traffic congestion issues of India.

2 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

Jan 20, 2021
Data Science and IoT for addressing ambient air sanctity
Sathish Swaminathan , Raghunathan Rengaswamy
Ambient air quality is a dynamic parameter that shows a high degree of spatiotemporal variation. It is known to impact human life and health. Obtaining meaningful estimates of human exposure to air pollutants is key to mitigating its ill effects. Current air quality monitoring regime consists of expensive, static monitoring stations that are sparsely distributed across a city which in turn results in poor spatial resolution. This particular work, accomplished under project Kaatru, demonstrates the efficacy of low-cost sensor based, vehicle mounted, mobile monitoring paradigm in hyperlocal air quality assessment.

7 min read

Jan 20, 2021
How COVID-19 impacts population movement: A data-driven analysis to study population behavior during a pandemic
Scientific evidence available on the transmission of SARS-CoV-2, the virus that has caused the global outbreak of COVID-19, shows that the disease spreads through droplets launched from an infected person via coughing, sneezing, talking that land on a healthy person in close proximity (less than 6 feet). Epidemiological researchers have found social distancing measures to be very effective in containing the spread of virus in the absence of a proven cure or vaccine.

5 min read

Jan 13, 2021
Ablation-CAM: Making AI trustworthy
Saurabh Desai , Harish G. Ramaswamy
As machine learning is set to change every aspect of our life, a key dilemma plagues the minds of researchers and its users- Can we trust machines to make key life decisions for us? Can we rely solely on the machine to drive us safely to the destination without knowing the basis of its function or shall we allow a machine to operate us instead of a doctor?

4 min read

Jan 13, 2021
Predicting Essential Genes through Network Approach: Deciphering basis of Life
A classic challenge in biology is to study the function of proteins. Of various functions, essential functions are very interesting, as they map to important indispensable genes in an organism. Experimentally identifying these genes is rather expensive and challenging. Computational predictions can help point in the right direction, to prioritise experiments. To date, experimental data are available for <100 organisms! On the other hand, sequencing data are available for 1000s of organisms, as also interactome (networks of interactions) data.

4 min read

Nov 17, 2020
Deep learning in biomedical image analysis
Medical imaging, specifically radiologic imaging is the most commonly used diagnostic tool for disease diagnosis and treatment assessment for a wide variety of conditions. Over the last decades the image acquisition hardware has improved significantly and corresponding image reconstruction software has become more sophisticated. These provide increasingly complex data both in terms of size and content, making it a challenging task for radiologists to sift through and arrive at meaningful diagnosis and therapeutic assessment. The role of AI/ML techniques in this context is to act as a radiologist’s assistant to automate routine tasks and provide preliminary diagnosis. A radiologist can then use the outputs from these systems to speed up and improve accuracy of diagnosis.

3 min read

Sep 5, 2020
Finding Influencers in Social Networks: Reinforcement Learning Shows the Way
Social Network Analysis has given us many tools to effectively manage information dissemination in a social group, study growth and dynamics in such groups, etc. But one of the key challenges when studying social groups of underprivileged or socially marginalized groups is the recovery of the underlying social network itself. This study proposes a machine learning approach for learning to effectively allocate a limited budget to discover the network.

5 min read