Can AI facilitate the digital financial inclusion of migrant workers ?
May 29, 2023
Can AI facilitate the digital financial inclusion of migrant workers ?
As COVID-19 started raising its fang in early 2020, a 21-day lockdown was imposed in the nation to restrict the spread of infection in the country. With the businesses shut and markets closed, millions of migrant workers lost their jobs. With limited access to cash and digital banking services, they struggled to send money back home, which in usual days was done mostly through informal personal networks. Due to the staggered movement of people from cities to villages, the households of migrant workers suffered as they did not have money even to buy the essentials.
4 min read
Planner+Reinforcement Learning: Best of both worlds
If we have to drive from one place to another, we first think about the major route we will undertake and then while driving on the same route we worry about the small turns we need to take, the speed limit we need to follow etc. These two levels of thinking, i.e. high-level planning and low-level execution is hierarchical thinking. As humans we think in a hierarchical manner- we first figure out the major outlines and then work on the nitty-gritty of a task or process.
2 min read
Probing patterning in microbial consortia with a cellular automaton for spatial organisation
Some of us like hills and others are fond of beaches. Microbes are no different! Some love fresh air and so stay outside, the more shy ones feel comfier inside, some don’t mind any location as long as their favourite pals are with them and others don’t thrive close to their enemies. This affinity of different microbes for different positions and locations can be seen in any environment they choose to inhabit—be it the human gut, soil aggregates or waste.
3 min read
Meet Prof. Ponnurangam Kumaraguru “PK”
If like most people, you also imagine a scientist as a pretty serious, reserved, nerdy and introvert, Prof. Ponnurangam Kumaraguru, popularly called “PK” from IIIT Hyderabad will prove you wrong! Chatty by nature and active on social media, Prof. PK loves the academic life which gives him the freedom to choose the problems he wishes to work on. To entice future generations towards research, he exhibits the perks of academic life on social media platforms under the hashtag #ProfGiri.
3 min read
Meet Prof. Vijay Tiwari
No two individuals are alike! So, how can we expect them to respond similarly to drugs or treatment? This thought is unveiling a new age in healthcare, an era of precision or personalized healthcare where treatment is tailor-made depending on the genetic composition of a patient. Prof. Vijay Tiwari, a Professor at the UK-based Queen’s University and the Southern University of Denmark, also believes that precision healthcare is a way to go.
3 min read
Meet Resmi Suresh
I hope you would agree that we cannot do without our mobile for long! This is the reason why we prefer a mobile that can be charged rather quickly so that we can continue our work or mindless scrolling on the phone. But do you know that fast charging can be detrimental to the life of the phone battery and can in extreme cases lead to battery explosion as well!
3 min read
Meet Dr Gokul S. Krishnan
Technology is now impacting every sphere of our lives but you would agree that one of its most powerful impacts is in the area of Healthcare where it is literally saving lives! This emerging area, that combines technology and healthcare, called Healthcare informatics is helping to provide better and timely care to patients by helping healthcare workers with patient data management, disease diagnosis etc. Dr Gokul S Krishnan, a research scientist at the Robert Bosch Centre for Data Science and Artificial Intelligence, believes that the full potential of AI and Data Science in healthcare has not yet been utilized to help our healthcare personnel and is therefore working in this area among others to help making a significant difference.
5 min read
Meet Malvika Sudhakar
Over the years, doctors and researchers have realised that the “one size fits all” approach is not the right way to treat cancer patients as the disease can be caused by a myriad of internal and external factors. This thought is strengthened by the fact that chemotherapy, radiation therapy etc. which are employed for the treatment of cancer patients, have shown a range of side effects and has affected the patient’s recovery from the disease.
2 min read
An Early Warning System for Earthquake
On 26th January 2001, when the whole country was celebrating our 52nd Republic day, a piece of devastating news shook the entire nation. A massive earthquake measuring 7.7 on Richter’s scale hit the state of Gujarat killing 30 thousand people and destroying 4 lakh homes in Gujarat in just 2 minutes. Although the epicentre of this earthquake was the Kutch region, it demolished 40% of homes, eight schools, two hospitals and numerous other significant buildings in the Bhuj.
2 min read
Computational Social Sciences
-- Prof. Ponnurangam Kumaraguru -- Sciences and Social sciences are often considered apart but Prof. Ponnurangam Kumaraguru, Professor of Computer Science at IIIT-Hyderabad and Associate Researcher at Robert Bosch Centre for Data Science and AI, believes that technology has so much to offer to social sciences. Therefore, Prof. Kumaraguru is carrying out research in an emerging area called Computational Social Sciences. To know more about his research in this field, Prof.
3 min read
Extracting cues of causality from Medical text to mine factors related to Sjögren’s Syndrome
-- Dr. Sunandan Chakraborty -- The web is a sea of information where the much-needed information may just seem a click away! However, mining exhaustive information from the web is not a trivial and straightforward task as it looks to be. Therefore, AI researchers are developing natural language processing models to mine relevant information from the web. One such researcher is Dr. Sunandan Chakraborty, Assistant Professor at the School of Informatics and Computing at Indiana University.
6 min read
Towards Personalized Cancer treatment
As per the National Cancer Registry Programme Report 2022, over 13 lakhs people in India suffer from cancer each year making India rank third nation-wise in the number of cancer cases across the world. The figures are not good globally as well! As per the WHO, cancer is a leading cause of death worldwide and accounted for nearly one in six deaths in the year 2020. The disease not only torments the patient but is physically, emotionally and financially draining for the family as well.
2 min read
Deciphering Disease Mechanisms through Functional Genomics
-- Dr. Vijay Tiwari -- The Brain- a three-pound of flesh that resides in the skull- is undoubtedly the most complex thing of all objects in the universe. This complexity poses challenges to study the underlying mechanisms responsible for causing brain disorders. If applied well, the functional genomics toolbox can help in discerning the workings of this mysterious organ along with deciphering the genetic basis of brain disorders. Prof.
6 min read
A strategy to make networks more resilient to attacks
We live in a highly connected world! World Wide Web, social networks, brain networks, Railway networks, Power Distribution networks etc. are all examples of connections or say networks. All these networks can be pictorially represented as a collection of connected objects. Varied it may seem but all these networks have two common entities: nodes and edges. Here, a node is an object and an edge is a line that links objects together.
3 min read
Improving Sample Efficiency in Evolutionary RL using Off-policy Ranking
--Dr. Gugan Thoppe-- Reinforcement learning is a type of machine learning technique where the agent learns from the interactive environment by trial and error and has applications in sectors such as self-driving cars, marketing, robotics, gaming, manufacturing etc. However, at times it is difficult to apply reinforcement learning in situations where objective function features such as linearity, convexity or differentiability often are non-existent or difficult to detect. This is where Evolutionary strategy RL can help.
3 min read
Meet Dr Harshad Khadilkar
As children, we all loved the sight of a flying airplane in the sky. Harshad was no different in this case except that his love for airplanes didn’t stay just in his heart but percolated to his career as well. An aerospace engineer by education and an AI researcher by profession, Dr. Harshad Khadilkar is currently a Senior Scientist at TCS Research where he is applying reinforcement learning approach to optimize operations.
2 min read
VEST: Vulnerability Exploitation Scoring & Timing
--Dr. V.S. Subrahmanian-- Digitization has indeed made the world more connected! However, this connection comes together with the threat of public exposure and misuse of confidential and private information. India is also grappling with this threat and was one of the top three nations in Asia worst affected by the cyberattacks in the year 2021. The problem however isn’t restricted to India but is a challenge for countries across the globe.
4 min read
DailyDialog++ and DEB: A new dataset and new metric to make the evaluation of chatbots and dialogue systems better
How are you feeling today? Good, Great, fine, bad, worst, bored? Either way, you are feeling, you will agree that there is no one right answer to that question and many other millions of questions where multiple answers are correct. While you, as a human, would understand that for some questions there is no single right answer, it’s difficult to teach this to machines! This is one of the problems AI researchers are struggling with today, especially in the chatbot and virtual assistant space.
2 min read
Generating tailored multimodal fragments from documents and Videos
--Dr. Balaji Vasan Srinivasan-- In today’s digital world, social media and websites have become an important tool for communication. As digital communication is becoming more and more important, companies are looking forward to increase their user engagement to advertise their products, agenda or to just spread knowledge. One of the ways to increase user engagement is to provide them with multimodal content which is a combination of two or more modes of communication such as text, image, video, audio etc.
4 min read
Scaling graph representation learning algorithms in an implementation agnostic fashion
--Prof. Srinivasan Parthasarathy-- A graph, which consists of nodes and edges, is a pictorial representation of the relationship between various objects. Analysis of graphs can help in inferring social, biological, road, finance and other networks as well. Prof. Srinivasan Parthasarathy who is Professor at Dept. of Computer Science and Engineering and Department of Biomedical Informatics at the Ohio State University and RBCDSAI Distinguished Fellow gave a talk on his research in the area of graph analysis through a talk titled “Scaling graph representation learning algorithms in an implementation agnostic fashion” which was organized as a part of Sixth RBCDSAI Latent View Colloquium on 23rd March 2022.
3 min read
Controllability of Functional Brain Networks
--Prof. Ramkrishna Pasumarthy-- The brain has undeniably been the most enigmatic organ of the human body. To further our understanding of this mysterious organ, a talk titled “Controllability of Functional Brain Networks” was organized on 2nd September 2021 as a part of the third AI impact seminar. The talk was delivered by Professor Ramkrishna Pasumarthy who is an Associate Professor at IIT Madras.
Prof. Pasumarthy started the talk by saying that for a long time most brain modelling was questionnaire-based and only now the availability of huge amounts of FMRI data is driving advances in this field.
4 min read
Accurate and Interpretable AI models: Towards Deployable AI
A self-driving car bumps into a lamppost. A doctor prescribes the wrong treatment to a patient based on an AI-based diagnostic tool. A missile is misfired by an AI-based defense system. An unfair decision provided by a banking chatbot leads to loss of customers.
The above examples are probably sufficient to explain why there is a need to tread carefully while deploying AI-based solutions in the real world. While wrong predictions made by recommendation systems in domains like retail might be inexpensive, such predictions in domains like healthcare, self-driving vehicles, banking or defense can cause hefty monetary losses or even loss of lives.
3 min read
CAMP: The perfect bacterial matchmaker
Lovers, enemies, friends aren’t the relationships confined to human or animal societies. Tiny beings like bacteria also react to different bacteria in their vicinity, and their growth and survival depend on the kind of relationship they have with the other bacteria residing near them. Two or more types of bacteria living together constitute a microbial community, and in such a community, division of labor occurs which help in the overall growth of community, efficient production of products or teams up to get rid of chemicals which are harmful to the growth of the community.
2 min read
It takes two to tango — making bio-production more economical
As the world decides to tread on a sustainable path, a more eco-friendly alternative for each and every industrial process is being looked upon. One of the environmentally harmful processes is the production of chemicals through traditional means. Biotechnology offers to remedy this problem by producing chemicals through microbial means, which does not end in creating hazardous byproducts. Despite this advantage, bioproduction hasn’t truly taken off yet due to the poor yield of products obtained through this process.
2 min read
A new model that solves the charging woes of Electric vehicles
As nations race to meet their sustainable goals, the need to shift from fuel-based vehicles to electric vehicles has become more certain. Electric vehicles promise a cleaner and greener future as they don’t release pollutants. Apart from that, electric cars are also more economical to use making them pocket-friendly. Although these advantages make electric vehicles attractive for consumers, yet they are not in demand. This is because they have a short driving range requiring frequent trips to charging stations which is an inconvenience.
3 min read
Meet Richa Verma
Offline reinforcement learning, a new method of reinforcement learning (RL) is about to make strides in AI technology. The method utilizes the previously collected data for training the algorithm and does not require interaction with the online environment. Richa Verma, a systems engineer at TCS research and PhD scholar at the RBCDSAI-IIT Madras, believes that offline RL has tremendous potential and can scale up systems in a huge way as these offline algorithms can be employed to automate decision-making in various domains like robotics, education and healthcare.
3 min read
Meet Anusha Kumar
Although science and management are two distinct fields of study, scientific discoveries and inventions have affected business, disrupted markets, and created new trends. Data Science is one such technology that is transforming the way we do business. Machine learning algorithms are helping to predict the stock market trends, credit risks, hire new employees, automate manufacturing plants, etc. This intersection of science and management is what entices Anusha Kumar, a young Data Science researcher who is currently doing her PhD from IIT Madras and working at this interface.
2 min read
Meet Dr Shreya Goyal
India is a land of many tongues. This linguistic diversity available in the country has attracted linguistic researchers to the country, however, this change in language after every several miles creates a problem of communication for the tourists and travellers. This is where natural language processing, a branch of artificial intelligence, is trying to make a difference. Dr Shreya Goyal, an alumnus of RBCDSAI, IIT Madras and currently a research scientist at American Express, has worked towards solving one such problem in natural language processing for Indian languages through her research.
2 min read
Learning systems biology, the computational way
The 90s was an interesting time for biology research as researchers shifted from reductionist to a systems approach for studying and understanding biological systems. A decade later, high-throughput technologies revolutionized the field of systems biology by generating heaps of data. Thanks to these technologies, the state of thousands of genes, proteins, chemicals or metabolites at a given time-point, or in response to any stimuli, can be captured now. However, generating insights from this humongous amount of data was like looking for a needle in a haystack.
2 min read
Meet Prof. Usha Mohan
While sports and academics may seem poles apart to many but Prof. Usha Mohan, who is a Professor at the eminent IIT Madras and a member of RBCDSAI, believes that her involvement in sports is what has provided her with the much-needed resilience required in research. As she teaches and conducts operation research at IIT Madras, she advises her students to dedicate some time in a day for sports as it helps a person to deal with setbacks in a better manner.
3 min read
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
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
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
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
CombSGPO: A new algorithm to protect wildlife
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
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
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.
2 min read
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
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
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
The Heads Hypothesis: A Unifying Statistical Approach Towards Understanding Multi-Headed Attention in BERT
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
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
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
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
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
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
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
Levelling up NLP for Indian Languages
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
Developing India-specific pregnancy dating model from Garbhini cohort
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
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
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
Data Science and IoT for addressing ambient air sanctity
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
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
Ablation-CAM: Making AI trustworthy
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
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
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
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
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Recent Posts
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