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Aster CMI Hospital and IISc open Artificial Intelligence lab

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In keeping with its commitment to bring quality healthcare using the latest medical technology, Aster CMI Hospital in association with the Indian Institute of Science (IISc) in Bengaluru has launched an Artificial Intelligence (AI) lab. The Aster-AI lab is a collaborative lab, set up with the aim to build cutting edge AI products in the healthcare domain and bridge the gap between clinical medicine and technology by training healthcare professionals in AI. Dr. Azad Moopen, Founder Chairman and Managing Director, Aster DM Healthcare, Dr. Lokesh B, Consultant Neurology, Aster CMI Hospital and Dr. Phaneendra K Yalavarthy, Professor of Medical Imaging, Department of Computational and Data Sciences, IISc were present during the launch. Dr Yalavarthy has been instrumental in setting up the lab by providing the computational infrastructure and expertise. IISc, with its expertise in the development of AI methods, has become the natural collaborator with Aster CMI, which has the clinical expertise, to aide, translate, and validate the developed AI algorithms for clinical use.


Top Artificial Intelligence Jobs in MNCs to Apply this Nov Weekend

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Artificial intelligence had an eventful decade so far. With 2021 bringing more into play, technology has stronghold its place in every ecosystem. Especially, business organizations are enhancing their AI capabilities to streamline routine processes. Starting from attending to customer queries to powering autonomous vehicles, the influence of artificial intelligence is no joke. Besides, critical fields like healthcare, education, and space are adopting AI to sophisticate their existing features and bring in innovation.


Temporal Deep Learning Architecture for Prediction of COVID-19 Cases in India

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To combat the recent coronavirus disease 2019 (COVID-19), academician and clinician are in search of new approaches to predict the COVID-19 outbreak dynamic trends that may slow down or stop the pandemic. But these epidemiological models based on mathematical assumptions may not predict the real pandemic situation. Recently the new machine learning approaches are being used to understand the dynamic trend of COVID-19 spread. In this paper, we designed the recurrent and convolutional neural network models: vanilla LSTM, stacked LSTM, ED-LSTM, Bi-LSTM, CNN, and hybrid CNN LSTM model to capture the complex trend of COVID-19 outbreak and perform the forecasting of COVID-19 daily confirmed cases of 7, 14, 21 days for India and its four most affected states (Maharashtra, Kerala, Karnataka, and Tamil Nadu). The root mean square error (RMSE) and mean absolute percentage error (MAPE) evaluation metric are computed on the testing data to demonstrate the relative performance of these models. The results show that the stacked LSTM and hybrid CNN LSTM models perform best relative to other models.


Scientists Develop Device That Mimics Human Brain's Cognitive Actions

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A team of scientists from Bengaluru's Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR) has developed a device that can emulate the cognitive actions of a human brain, and is more efficient than conventional techniques. The new AI technology enhances computational speed and power consumption efficiency. The team fabricated an artificial synaptic network (ASN), resembling the biological neural network, through a simple self-forming method. Scientists said that the device structure is formed by itself while heating. While aiming to develop a synaptic device for neuromorphic applications, the team also explored a material system that mimicked neuronal bodies and axonal network connectivity, similar to that in the biological system.


AI, ML, 5G, IoT will be most important tech in 2021: Study

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Bengaluru, Nov 23: Artificial intelligence (AI), Machine learning, 5G and Internet of Things (IoT) would be the most important technologies in 2021, according to a new study by the Institute of Electrical and Electronics Engineers (IEEE). The technical professional organisation on Monday released the results of a survey of Chief Information Officers (CIO) and Chief Technology Officers (CTO) in the US, the UK, China, India and Brazil. The survey was on the most important technologies for 2021, the impact of the COVID-19 pandemic on the speed of their technology adoption and the industries expected to be most impacted by technology. On which would be the most important technologies, nearly one-third of the total respondents (32 per cent) said AI and ML followed by 5G (20 per cent) and IoT (14 per cent), according to an IEEE statement. Manufacturing (19 per cent), healthcare (18 per cent), financial services (15 per cent) and education (13 per cent) are the industries that most believe would be impacted by technology, according to the CIOs and CTOs surveyed.


AI firm Pucho 'designs' molecules that can fight Covid-19

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A Bengaluru-based Artificial Intelligence (AI) firm has come up with "designs" of several chemical molecules that may help stop SARS-CoV2 virus, which causes Covid-19 infection from multiplying in an infected person. The firm, which used deep learning technology to identify structures of molecules that would inhibit a critical enzyme of the virus – called 3CLpro, is already in talks with an Indian pharma company, which could synthesise the molecules for testing, if the deal materialises. "We are not in a position to disclose the name of the pharma firm yet," said Vikram Jha, CEO of Pucho Technology Information Limited, the five-year-old firm. The firm, which has office in Bengaluru has been involved in developing an AI platform that offers search and information services to people who have otherwise access to the Internet in languages they are comfortable with when the lockdown happened. "We were ready with our platform but could not launch because of the lockdown. So, we decided to direct our energies towards the Covid-19 fight in a meaningful way using our expertise in AI. That was when two of our engineers specialising in deep learning suggested they could use neural network technology to look for generating potential lead compounds that can target the viral enzyme, 3CLpro," said Jha.


Google backs six artificial intelligence-based research projects – Details

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Artificial Intelligence (AI) is opening up the next phase of technological advances. Riding the AI wave, Google has started six AI-based research projects in India. These projects would focus on addressing social, humanitarian and environmental challenges in sectors such as healthcare, education, disaster prevention and conversation. Google Research India, based in Bengaluru, will provide funding and computational resources besides supporting the efforts with expertise in computer vision, natural language processing, and other deep learning techniques, says Manish Gupta, director of Google Research Team in India. The research team will focus on two pillars: First, advancing fundamental computer science and AI research by building a strong team and partnering with the research community across the country and secondly, applying this research to tackle big problems in fields such as healthcare, agriculture and education while also using it to make apps and services more helpful.


The Machine Learning research revolution

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In recent times, we have seen an increasing number of instances of Artificial Intelligence (AI) donning the proverbial lab coat. In early 2019, thousands of people were screened every day in a hospital in Madurai by an AI system developed by Google that helps diagnose diabetic retinopathy, a condition that can lead to blindness. Startups like Niramai, based in Bengaluru are developing AI technology for early diagnosis of conditions like breast cancer and river blindness. The sudden, accelerated growth of Machine Learning not just in research but in all walks of life can bring to mind Black Mirror-esque visions of dystopia in which machines rule over humanity. But let us leave worrying about the consequences of the far future to science fiction and look at the immediate impact this technology has had in science.


Artificial intelligence: success, limits, myths and threats (Lecture 1) by Marc Mézard

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INFOSYS-ICTS TURING LECTURES ARTIFICIAL INTELLIGENCE: SUCCESS, LIMITS, MYTHS AND THREATS SPEAKER: Marc Mézard (Director of Ecole normale supérieure - PSL University) DATE: 06 January 2020, 16:00 to 17:30 VENUE: Chandrasekhar Auditorium, ICTS-TIFR, Bengaluru Lecture 1 (Public Lecture): 6 January 2020, 4:00 PM Title: Artificial intelligence: success, limits, myths and threats Abstract: Artificial Intelligence is about to have a dramatic impact on many sectors of human activity. In the last ten years, thanks to the development of machine learning in "deep networks", we have experienced spectacular breakthroughs in diverse applications such as automatic interpretation of images, speech recognition, consumer profiling, or go and chess playing. Algorithms are now competing with the best professionals at analyzing skin cancer symptoms or detecting specific anomalies in radiology; and much more is to come. Worrisome perspectives are frequently raised, from massive job destruction to autonomous decision-making "warrior" robots. In this talk, we shall open the black box of deep networks and explore how they are programmed to learn from data by themselves.


Data Science with Machine Learning Course Training Part 2

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But doing more with that data using machine learning is just what retailers need to really succeed in the current market. Machine Learning in Retail 5. 5 03 Data Science Applications …4 Skin Cancer Deduction Facial Recognition HR Analytics Recommendations 6. 6 04 Visual Analytics with Tableau 7. 7 05 Business Statistics Various Data Types a)discrete, b)continuous, c)Nominal, d) Ordinal, e) Interval Scale, f) Ratio • Central Tendency, • Measures of Dispersion • Random Variable • Probability Distribution • Normal Distribution • Skewness • Kurtosis • Random Sample • Confidence Interval • Sampling Frame • Z-Calculations • Central Limit Theorem • Chi-Square Test Analysis on X and Y data: One-Way Anova, 2 Sample t-test, Case Study on One-Way Anova and 2 Sample T Test,Hypothesis Testing Converting Statistics.. Hmm! 8. 8 06 Machine Learning Enabling machine to learn without being explicitly programmed 9. 9 DataMites is a global institute of Data Science, Machine Learning, IoT and Artificial Intelligence Training and Consulting for individuals and Corporate. For courses enquires Call: 1 415 8522477 (USA) 1800 200 6848 (India Toll Free) Email: enquiry@datamites.com But doing more with that data using machine learning is just what retailers need to really succeed in the current market. For courses enquires Call: 1 415 8522477 (USA) 1800 200 6848 (India Toll Free) Email: enquiry@datamites.com