Non-invasive and continuous blood pressure (BP) monitoring is essential for the early prevention of many cardiovascular diseases. Estimating arterial blood pressure (ABP) from photoplethysmography (PPG) has emerged as a promising solution. However, existing deep learning approaches for PPG-to-ABP reconstruction (PAR) encounter certain information loss, impacting the precision of the reconstructed signal. To overcome this limitation, we introduce an invertible neural network for PPG to ABP reconstruction (INN-PAR), which employs a series of invertible blocks to jointly learn the mapping between PPG and its gradient with the ABP signal and its gradient. INN-PAR efficiently captures both forward and inverse mappings simultaneously, thereby preventing information loss. By integrating signal gradients into the learning process, INN-PAR enhances the network's ability to capture essential high-frequency details, leading to more accurate signal reconstruction. Moreover, we propose a multi-scale convolution module (MSCM) within the invertible block, enabling the model to learn features across multiple scales effectively. We have experimented on two benchmark datasets, which show that INN-PAR significantly outperforms the state-of-the-art methods in both waveform reconstruction and BP measurement accuracy.

Robot learning tasks are extremely compute-intensive and hardware-specific. Thus the avenues of tackling these challenges, using a diverse dataset of offline demonstrations that can be used to train robot manipulation agents, is very appealing. The Train-Offline-Test-Online (TOTO) Benchmark provides a well-curated open-source dataset for offline training comprised mostly of expert data and also benchmark scores of the common offline-RL and behaviour cloning agents. In this paper, we introduce DiffClone, an offline algorithm of enhanced behaviour cloning agent with diffusion-based policy learning, and measured the efficacy of our method on real online physical robots at test time. This is also our official submission to the Train-Offline-Test-Online (TOTO) Benchmark Challenge organized at NeurIPS 2023. We experimented with both pre-trained visual representation and agent policies. In our experiments, we find that MOCO finetuned ResNet50 performs the best in comparison to other finetuned representations. Goal state conditioning and mapping to transitions resulted in a minute increase in the success rate and mean-reward. As for the agent policy, we developed DiffClone, a behaviour cloning agent improved using conditional diffusion.

The National Digital Library of India was conceptualized with an aim to bring equity of access to educational resources for every Indian through a single window access mechanism.

Regression analysis is a useful mechanism for estimating the relationship between a dependent variable and one or more independent variables. It is widely used in forecasting and has become an important machine learning tool. It becomes crucial for someone starting in machine learning to understand how regression analysis works. Let us look at a few resources available online to get started with regression analysis. MachineHack, a popular platform for data scientists and AI practitioners provides courses on regression in the form of bootcamps. Bootcamps are pocket courses for all who aspire to become data scientists, data engineers and machine learning developers.

Gautam Naik was born and brought up in Pune and currently stays in Connecticut USA. He has more than twenty-five years of Entrepreneurship experience in Global Software Services. His successes as an IT entrepreneur include leading sizable teams globally, serving clients globally including fortune500 companies, and a couple of VC investments/successful mergers. He graduated from IIT Kharagpur as an Instrumentation engineer. He is a technocrat and has documented best practices and showcased the products launched by companies like Microsoft, Novell, and few Pioneering open-source technologies in various international meets/events/seminars.

Robert Bosch Centre for Data Science and AI @ IIT Madras: RBCDSAI has established itself as one of the most productive AI labs in the country now, as measured by publications in top AI conferences. It aims to leverage data science to give insights to make actionable, reliable and impactful decisions for adoption in engineering, finance and healthcare domains. Centre of Excellence in Artificial Intelligence @ IIT Kharagpur: CAI at IIT Kharagpur has been set up in April 2018 in recognition of the increasing importance of the role of Artificial Intelligence. It leverages more than three decades of research and contribution of IIT Kharagpur in fundamental and applied AI. The Centre has been seed-funded by a grant from Capillary Technologies.

A group of researchers from IIT Kharagpur in West Bengal has successfully predicted the presence of arsenic in groundwater and its adverse effect on human health in affected areas using Artificial Intelligence (AI) algorithms on environmental, geological and human usage parameters. They also successfully managed to delineate the high and low arsenic zones across the Ganges River delta using AI and quantify the number of people exposed. Madhumita Chakraborty, the lead author of the paper, said, "Our AI models predict the occurrence of high arsenic in groundwater across more than half of the Ganges River delta, covering more than 25% area in each of the 19 out of 25 administrative zones in West Bengal. A total of 30.3 million people are estimated to be exposed to severely high As-hazard within the Ganges River delta." The AI findings will be a boon in the Eastern states where arsenic has been a concern, especially along the banks of the Ganga for almost two decades, putting millions of people at severe health risk.

Across the world, investing in AI innovations is on a steep rise. Artificial intelligence (AI) is indeed opening up the newer phases of technological advancements. Last year, riding the AI wave, Indian Institute of Technology (IIT), across the country, came up with several AI initiatives -- from rolling out courses to launching R&Ds centres and Center of Excellences in various parts of the country. Although we have just stepped in the year 2020, IITians have already started to make headlines with their newer innovations for the year. In fact, Google has recently decided to start six artificial intelligence-based research projects in India by providing funds and computational resources, where two of the prominent IITs have agreed to participate -- IIT Delhi and IIT Madras.

Researchers at IIT Kharagpur have evolved an artificial intelligence-aided method to automate reading of legal judgements. A research team at the institute's Department of Computer Science and Engineering has developed two deep neural models to understand the rhetorical roles of sentences in a legal case judgement, an IIT KGP statement said here. This could be unique in India where the country uses a Common Law system that prioritises the doctrine of legal precedence over statutory law and where legal documents are often written in an unstructured way, a member of the team said. "Taking 50 judgments from the Supreme Court of India, we have segmented these by first labelling sentences with the help of three senior law students from IIT Kharagpur's Rajiv Gandhi School of Intellectual Property Law," Saptarshi Ghosh, professor of the Department of Computer Science and Engineering, who is leading the research team, said. "We then performed extensive analysis of the human- assigned labels, and developed a high quality gold standard corpus to train the machine to carry out the task," Ghosh said.

Sundar Pichai, the chief executive of Google, has been put in charge of its parent company Alphabet, after co-founders Larry Page and Sergey Brin announced they were stepping down. The 47-year-old said the pair had set up a "strong foundation" on which he would "continue to build". Pichai's life story is remarkable, and his rise to the top of Google is an endorsement of India's standing in the global technology industry - and equally, a reassuring reminder of the so-called "American Dream". Pichai was born and schooled in Chennai, India. He captained his school's cricket team, leading it to win regional competitions.