RICHMOND HILL, N.Y.--(BUSINESS WIRE)--iHealthScreen CEO Alauddin Bhuiyan, Ph.D. along with collaborators at New York Eye and Ear Infirmary at Mount Sinai (NYEEI), presented a prospective study for early diagnosis of AMD at the annual conference of AAO, 2020. The results presented during the prestigious Original Paper Session demonstrated 88.7% accuracy, compared to ophthalmologist gradings, on detecting referable AMD.

AMD, with no early signs or symptoms, is a leading cause of adult blindness in the developed world. Early detection can enable preventative measures in time and stop AMD incident. Currently, AMD diagnosis has been limited to retinal examination by an ophthalmologist. AMD cases in the U.S. are expected to grow from 2.1 million to 5.4 million in the next ten years, and there is an increasing need for large scale screening and identification of individuals who are at risk of developing late AMD. iHealthScreens AI based tool can facilitate this screening and help prevention of late AMD.

In an interview, Dr. Bhuiyan spoke about the study and the findings: We are encouraged by the results and believe that the new AI-based technology can diagnose early AMD in primary care settings, which enables the timely preventative measures by ophthalmologist and prevent this deterioration of vision. We want to express our sincerest thanks to the participants and professional staff who were involved in this clinical trial and gathered the data.

These results speak to the feasibility of this approach, said Theodore Smith, M.D., Ph.D., Trials Principal-investigator and Professor at Icahn School of Medicine at Mount Sinai. I believe that the ease of use of iHealthScreens AI tool will contribute to its adoption in the wider primary care community.

About iHealthScreen

iHealthScreen is a private, clinical-stage, medical diagnostic/device company. iHealthScreen has developed iPredict, an AI and telemedicine-based HIPAA compliant platform for automated screening and prediction of individuals at risk of developing late age-related AMD, diabetic retinopathy (DR), glaucoma, cardiovascular heart disease and stroke.

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iHealthScreen's Artificial Intelligence (AI) Based Tool Can Accurately Diagnose Age-Related Macular Degeneration (AMD) and Help Prevent Blindness -...

When Professor Boaz Golany of the Technion gave a speech to visiting students from the Czech Technical University in Prague several years ago, he described the Golem of Prague as a metaphor for artificial intelligence (AI). The Golem is part of Jewish tradition and is well known to every Czech. The legend of the Golem and his 16th-century creator, Rabbi Loew Judah ben Bezalel, known as the Maharal, has been an integral part of popular culture in Czechia since the end of the 19th century. When people can share such complicated metaphors, it is no wonder there are currently a number of Czech-Israeli research projects using AI in different fields that assist communication between robots of different autonomous vehicles, find an optimal path for robots maneuvering with drones or improve robotic physiotherapy treatment.

Quite a few Czech intellectuals have been fascinated with the connection of the Golem to the development of science. This past September was the 100th anniversary of the publication of R.U.R., the dystopian play by the Czech author Karel apek that introduced the word robot into the English language and to the world of science. apek himself said that his robots were Golems in mass production.

Czech companies also bring high value to complicated construction projects. Dekonta, the leading Czech environmental services and technologies company, participated in a bioremediation project of contaminated soil at the Beersheva Railway Station. The JUTA company supplied high-density polyethylene (HDPE) geomembranes for the Habonim water reservoir project in the Carmel coastal area near Haifa.

Many more opportunities are on the way. The Czech ICT company Tesco SW is developing brain diagnostic software for Parkinsons disease that can be used in Israel. Last year the DLD Tel Aviv Innovation Festival brought together innovators, who announced the creation of the Czech-Israeli platform of FinTech companies in early November. They also want to support bilateral tourism and business financing.

Perhaps the Czech-Israeli collaboration in the sciences can be best epitomized by Jakub Abramson, an immunology professor at Weizmann Institute in Rehovot. Professor Abramson was born in Prague and made Aliyah ten years ago. He is very enthusiastic about Czech-Israeli collaboration. It is important for me to strengthen Czech and Israeli collaboration. In the Czech Republic, there is great potential for science. They have amazing potential that they dont use and exploit properly. Professor Abramson has done many collaborations with Czech scientists, including a description of a new auto-immune disease that attacks the teeth and combining Israeli expertise in immunology with Czech know-how in medicinal chemistry. He is looking forward to spending the next academic year on sabbatical in Prague.

The cooperation in science has been growing, thanks to joint financial support from the Israeli Ministry of Science and Technology and the Czech Ministry of Education. Currently, there are six Czech-Israeli projects examining the use of nanotechnologies in cleaning air or water, the use of AI in computer vision, the development of assistive devices for physiotherapy, planning for robotic laparoscopic surgery, and conflict-free movement of self-driven vehicles. The successful research project should be followed by commercial success. Private and public support for accelerating innovations, creating joint start-ups, or removing barriers for innovative companies to offer their products in the partner country could bring the Czech-Israeli innovative cooperation to another level.

Czech-Israeli Innovation Days

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From the Golem of Prague to artificial intelligence - The Jerusalem Post

A new report added by Big Market Research claims that the globalArtificial Intelligence (AI) in Drug Discovery marketgrowth is set to reach newer heights during the forecast period,2020-2026.

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Microsoft Corporation, NVIDIA Corporation, IBM Corporation, Google Inc., Atomwise, Inc., Deep Genomics, Cloud Pharmaceuticals, Inc., Insilico Medicine, Benevolentai, Exscientia,

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To identify drivers and challenges for global Artificial Intelligence (AI) in Drug Discovery market.

To examine competitive developments such as mergers & acquisitions, agreements, collaborations and partnerships, etc., in global Artificial Intelligence (AI) in Drug Discovery market.

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Highlights following key factors:

:- Business description A detailed description of the companys operations and business divisions.:- Corporate strategy Analysts summarization of the companys business strategy.:- SWOT Analysis A detailed analysis of the companys strengths, weakness, opportunities and threats.:- Company history Progression of key events associated with the company.:- Major products and services A list of major products, services and brands of the company.:- Key competitors A list of key competitors to the company.:- Important locations and subsidiaries A list and contact details of key locations and subsidiaries of the company.:- Detailed financial ratios for the past five years The latest financial ratios derived from the annual financial statements published by the company with 5 years history.

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Table of Contents

Chapter 1. Executive Summary

Chapter 2. Global Artificial Intelligence (AI) in Drug Discovery Market Definition and Scope

Chapter 3. Global Artificial Intelligence (AI) in Drug Discovery Market Dynamics

Chapter 4. Global Artificial Intelligence (AI) in Drug Discovery Market: Industry Analysis

Chapter 5. Global Artificial Intelligence (AI) in Drug Discovery Market, by Method

Chapter 6. Global Artificial Intelligence (AI) in Drug Discovery Market, by Style

Chapter 7. Global Artificial Intelligence (AI) in Drug Discovery Market, by Application

Chapter 8. Global Artificial Intelligence (AI) in Drug Discovery Market, Regional Analysis

Chapter 9. Competitive Intelligence

Chapter 10. Research Process

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Artificial Intelligence (AI) in Drug Discovery Market in Global : Current and the Future Trends : Microsoft Corporation, NVIDIA Corporation, IBM...

WEST LAFAYETTE, Ind. The COVID-19 pandemic is leading a Purdue University innovator to make changes as she works to provide new options for people with Parkinsons disease.

Jessica Huber, a professor of speech, language, and hearing sciences and associate dean for research in Purdues College of Health and Human Sciences, leads Purdues Motor Speech Lab. Huber and her team are now doing virtual studies to evaluate speech disorders related to Parkinsons using artificial intelligence technology platforms.

Huber and her team have been working to develop telepractice tools for the assessment and treatment of speech impairments like Parkinsons disease. They received a National Institutes of Health small business innovation and research grant to develop a telehealth platform to facilitate the provision of speech treatment with the SpeechVive device, which has received attention at the Annual Convention of the American Speech-Language-Hearing Association.

In the current study, Huber and her team are collaborating with a startup company, Modality AI, which developed the AI platform that will be used in the study.

The application of the technology we are evaluating may lead to far-reaching insights into more standardization in assessments, earlier diagnoses and possibly an easier way to track discrete changes over time to guide interventions, said Andrew Exner, a graduate research assistant in the Motor Speech Lab. My personal research passion, and the mission of our lab, is to find ways to improve the quality of life for people with Parkinsons and other related diseases.

Exner is leading the virtual study for participants across the country to evaluate an AI platform that can collect and automatically measure the speech skills of people with Parkinsons disease. The need for AI platforms is increasing as the use of telepractice explodes as a result of the COVID-19 pandemic.

My interest in speech-language pathology actually started during my training as an actor and opera singer, Exner said. I saw the effects of pathology on the voice and wanted to extend that interest into speech disorders.

SpeechVive Inc. is an Indiana startup company based on Hubers research. The company has developed a wearable medical device to improve the speech clarity of people with Parkinsons.

Anyone interested in learning more about the virtual studies or taking part can email Exner at exner@purdue.edu.

About SpeechVive

SpeechVive is a behind-the-ear smart device that helps people with Parkinsons disease speak more loudly and communicate more effectively. The SpeechVive device is based on the research of inventor and co-founder Jessica Huber at Purdue University. Clinical data over four years demonstrated SpeechVive to be effective in improving volume, articulation and speech rate in 90% of the people participating in four multi-site clinical trials. It is estimated that 1.5 million people in the U.S. and 10 million people worldwide suffer from Parkinsons disease. To learn more about SpeechVive, visit http://www.speechvive.com.

About Purdue Research Foundation

The Purdue Research Foundation is a private, nonprofit foundation created to advance the mission of Purdue University. Established in 1930, the foundation accepts gifts; administers trusts; funds scholarships and grants; acquires property; protects Purdue's intellectual property; and promotes entrepreneurial activities on behalf of Purdue. The foundation manages the Purdue Foundry, Purdue Office of Technology Commercialization, Purdue Research Park, Purdue Technology Centers and University Development Office. In 2020, the IPWatchdog Institute ranked Purdue third nationally in startup creation and in the top 20 for patents. The foundation received the 2019 Innovation and Economic Prosperity Universities Award for Place from the Association of Public and Land-grant Universities. For more information on licensing a Purdue innovation, contact the Purdue Office of Technology Commercialization at otcip@prf.org. For more information about involvement and investment opportunities in startups based on a Purdue innovation, contact the Purdue Foundry at foundry@prf.org.

About Purdue University

Purdue University is a top public research institution developing practical solutions to todays toughest challenges. Ranked the No. 5 Most Innovative University in the United States by U.S. News & World Report, Purdue delivers world-changing research and out-of-this-world discovery. Committed to hands-on and online, real-world learning, Purdue offers a transformative education to all. Committed to affordability and accessibility, Purdue has frozen tuition and most fees at 2012-13 levels, enabling more students than ever to graduate debt-free. See how Purdue never stops in the persistent pursuit of the next giant leap at purdue.edu.

Writer: Chris Adam, cladam@prf.orgSource: Andrew Exner, exner@purdue.edu

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Artificial intelligence taking role in developing technology to help Parkinson's patients during COVID-19 pandemic - Purdue News Service

COSTA MESA, Calif.--(BUSINESS WIRE)--Veritone, Inc., (Nasdaq: VERI), the creator of the worlds first operating system for artificial intelligence (AI), aiWARE, today announced it now supports the NVIDIA CUDA platform, enabling organizations across the public and private sectors to run intensive AI and machine learning (ML) tasks on NVIDIA GPUs, whether on-premises or in the Microsoft Azure and Amazon Web Services (AWS) clouds.

This Veritone innovation unlocks new performance levels for organizations using aiWARE, Veritones proprietary OS for AI, as they can now process massive amounts of video, audio and text dramatically faster and more accurately by using the parallel-processing computational power of the newest generation of NVIDIA GPUs.

The NVIDIA CUDA parallel computing platform and programming model enables dramatic increases in computing performance by harnessing the power of NVIDIA GPUs, which can process substantially more concurrent tasks than a central processing unit (CPU).

By taking advantage of the latest CUDA-compatible version of aiWARE running in the Azure and AWS clouds, organizations can leverage GPU auto-scaling to handle more demanding workloads than ever before, seamlessly scaling GPUs in the cloud, whenever faster results are needed.

The marriage of aiWARE and NVIDIA CUDA helps organizations realize artificial intelligence and machine learning solutions that can process vast amounts of data at unparalleled speeds, said Veritone Founder and CEO Chad Steelberg. We built aiWARE to uncover insights from video, audio and text data, at scale, in near real-time. Supporting the CUDA platform advances that mission.

NVIDIA AI technology enables dramatic increases in computing performance and provides the needed foundation for creating GPU-accelerated applications for a variety of business challenges, said Keith Strier, Vice President of Worldwide AI Initiatives at NVIDIA. NVIDIA CUDA offers Veritone aiWARE the power and ease of use required for todays complex GPU-based AI and machine learning workloads across a broad range of industries.

The combination of aiWARE and NVIDIA CUDA opens doors in time-critical AI applications such as:

Energy to optimize energy dispatch in real time and dynamically synchronize and control distributed energy resources such as solar, wind and battery power, down to the device level.

Security to securely and quickly authenticate into applications with multifactor SSO using face and voice biometrics.

Smart Cities to extract valuable insights from large quantities of smart city sensors, including street and municipal vehicle cameras, traffic and roadway sensors, green building and environmental sensors and more.

Media and Entertainment to automatically produce new, synthetic content from massive volumes of existing back catalog and other previously produced content.

Contact Centers to instantly transcribe, translate and voice-recognize customer calls, classify requests, gauge sentiment and intent, and route appropriately.

Industrial and Manufacturing to perform high-volume industrial inspection to efficiently manage the flow of products through fulfillment, distribution and receiving areas.

This new Veritone aiWARE capability is available on any on-prem or cloud GPU that supports NVIDIA CUDA, including AWS and Azure. aiWARE supports the latest GPUs offered by NVIDIA, including for network-isolated deployments of aiWARE. For cloud-based aiWARE deployments, Azure N-series VMs and AWS EC2 P2 and P3 instances are supported.

For more information about aiWARE and Veritones artificial intelligence solutions, visit veritone.com.

About Veritone

Veritone (Nasdaq: VERI) is a leading provider of artificial intelligence (AI) technology and solutions. The companys proprietary operating system, aiWARE powers a diverse set of AI applications and intelligent process automation solutions that are transforming both commercial and government organizations. aiWARE orchestrates an expanding ecosystem of machine learning models to transform audio, video, and other data sources into actionable intelligence. The company's AI developer tools enable its customers and partners to easily develop and deploy custom applications that leverage the power of AI to dramatically improve operational efficiency and unlock untapped opportunities. Veritone is headquartered in Costa Mesa, California, and has offices in Denver, London, New York and San Diego. To learn more, visit Veritone.com.

Safe Harbor Statement

This news release contains forward-looking statements, including without limitation statements regarding aiWAREs support of the NVIDIA CUDA platform, and the expected processing speed, use cases and other benefits to customers of the use of such chipsets with aiWARE. Without limiting the generality of the foregoing, words such as may, will, expect, believe, anticipate, intend, could, estimate or continue or the negative or other variations thereof or comparable terminology are intended to identify forward-looking statements. In addition, any statements that refer to expectations, projections or other characterizations of future events or circumstances are forward-looking statements. Assumptions relating to the foregoing involve judgments and risks with respect to various matters which are difficult or impossible to predict accurately and many of which are beyond the control of Veritone. Certain of such judgments and risks are discussed in Veritones SEC filings. Although Veritone believes that the assumptions underlying the forward-looking statements are reasonable, any of the assumptions could prove inaccurate and, therefore, there can be no assurance that the results contemplated in forward-looking statements will be realized. In light of the significant uncertainties inherent in the forward-looking information included herein, the inclusion of such information should not be regarded as a representation by Veritone or any other person that their objectives or plans will be achieved. Veritone undertakes no obligation to revise the forward-looking statements contained herein to reflect events or circumstances after the date hereof or to reflect the occurrence of unanticipated events.

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Veritone aiWARE Now Supports NVIDIA CUDA for GPU-based AI and Machine Learning - Business Wire

The 'Artificial Intelligence and Machine Learning market' research report now available with Market Study Report, LLC, is a compilation of pivotal insights pertaining to market size, competitive spectrum, geographical outlook, contender share, and consumption trends of this industry. The report also highlights the key drivers and challenges influencing the revenue graph of this vertical along with strategies adopted by distinguished players to enhance their footprints in the Artificial Intelligence and Machine Learning market.

The latest report on Artificial Intelligence and Machine Learning market undertakes an elaborate assessment of this business space to enhance the remuneration scale and ascent the growth rate. It focuses on growth history and major developments in the market space in every part of the world. The research has been conducted and documented in a way that it assists businesses in making sound business decisions.

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Furthermore, the report gives insights about the effects of COVID-19 pandemic on global as well as regional markets and points out the methods that can be useful to cater the situation created due to the pandemic.

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Product Spectrum

Application scope

Regional Overview

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Competitive terrain:

In a nutshell, the research report on Artificial Intelligence and Machine Learning market is a holistic knowledge of pivotal growth indicators and propellers impacting the future stance of this business sphere. Other details such as sales channel, supply chain, data regarding the distributors, downstream buyers, raw materials, upstream suppliers are also discussed in the market.

Table of Contents:

For More Details On this Report: https://www.marketstudyreport.com/reports/covid-19-impact-on-global-artificial-intelligence-and-machine-learning-market-size-status-and-forecast-2020-2026

Some of the Major Highlights of TOC covers:

Executive Summary

Manufacturing Cost Structure Analysis

Development and Manufacturing Plants Analysis of Artificial Intelligence and Machine Learning

Key Figures of Major Manufacturers

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2. Global Drone Identification System Market Size, Status and Forecast 2020-2026Drone Identification System Market Report covers a valuable source of perceptive information for business strategists. Drone Identification System Industry provides the overview with growth analysis and historical & futuristic cost, revenue, demand and supply data (as applicable). The research analysts provide an elegant description of the value chain and its distributor analysis.Read More: https://www.marketstudyreport.com/reports/global-drone-identification-system-market-size-status-and-forecast-2020-2026

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Latest Study explores the Artificial Intelligence and Machine Learning Market Witness Highest Growth in near future - News by Decresearch

In general, when thinking about the food industry, we are likely to think about customer service and takeaway gig-economy services. More recently, the COVID-19 pandemic and how it ties into making or breaking food businesses are at the forefront. Perhaps one of the last things to come to mind when discussing the food industry is modern technology, especially artificial intelligence, and machine learning. However, these technologies have a massive impact on the food and drink industry, and today were going to explore how.

Whether youre looking at the food or the industrys beverage side, every aspect of the process is impacted by machine learning or AI. Hygiene is a massive and important part of the food industry process, specifically when minimizing cross-contamination and maintaining high standards during a pandemic.

In the past, these tasks would be tedious, time and resource-intensive, and potentially expensive if a mistake was made or overlooked. In large manufacturing plants, complex machines would actually need to be disassembled and then put back together for them to be cleaned properly and pumping a large volume of substances through them.

However, with modern technology, this is no longer the case.

Using a technology known as SOCIP, or Self-Cleaning-in-Place, machines can use powerful ultrasonic sensors and fluorescence optical imaging to track food remains on machinery, as well as microbial debris of the equipment, meaning machines only need to be cleaned when they need to, and only in the parts that need cleaning. While this is a new technology and the current problem of overcleaning, it will still save the UK food industry alone around 100 million pounds a year.

Of course, the food and drink industrys waste aspect is a highly debated and criticized part of the industry. The foodservice industry in the UK alone loses around 2.4 billion in wasted food alone, so its only natural that technology is being used to save this money.

Throughout the worlds supply chains, AI is being used to track every single stage of the manufacturing and supply chain process, such as tracking prices, managing inventory stock levels, and even countries of origin.

Solutions that already exist, such as Symphony Retail AI, uses this information to track transportation costs accurately, all pricing mentioned above, and inventory levels to estimate how much food is needed and where to minimize the waste produced.

No matter where you go in the world, food safety standards are always important to follow, and regulations seem to be becoming stricter all the time. In the US, the Food Safety Modernization Act ensures this happens, especially with COVID-19, and countries become more aware of how contaminated food can be.

Fortunately, robots that use AI and machine learning can handle and process food, basically eliminating the chances that contamination can take place through touch. Robots and machinery cannot transmit diseases and such in a way that humans can, thus minimizing the risk of it becoming a problem.

Even in food testing facilities, robot solutions, such as Next Generation Sequencing, a DNA testing solution for food data capturing, and Electric Noses, a machine solution that tests and records the odors of food, are being used in place for humans for more accurate results. At the time of writing, its estimated that around 30% of the food industry currently works with AI and Machine Learning in this way, although this number is set to grow over the coming years.

Theres no doubt that food production uses a ton of water and resources, especially in the meat and livestock industries. This is extremely unsustainable for the planet and very expensive for the producers. To help curb costs and become more sustainable, AI is being used to manage the power and water consumption needed, thus making it as accurate as possible.

This creates instant benefits to the costs of production and profit margins in all areas of the food and drink sector. When you start adding the ability to manage light sources, food for plants and ingredients, and basically introducing a smart way to grow food at its core, then you really start to see better food, more sustainable production practices, and more profits and savings at each stage of the food chain.

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How the Food and Beverage Industry is Affected by Machine Learning and AI - IoT For All

Written by Shyna Kalra | New Delhi | Updated: November 30, 2020 9:09:02 pmDated content, faculty shortage, and limited capacity to match the current and incoming student population are some of the critical constraints the Indian higher education faces," said Raghav Gupta, Managing Director, India and APAC, Coursera. (Image Designed by Gargi Singh)

Though there is a lot of buzz around Artificial Intelligence (AI), the traditional computer science engineering (CSE) course seems to be the first choice of JEE toppers. There are a few Indian institutes that offer an on-campus traditional course, including at an undergraduate level, in AI, but not many opt for this. This year too, most toppers, including AIR 2, have opted for computer science. Chirag Falor, who secured the top rank, went to the MIT, US.

Indraprastha Institute of Information Technology (IIIT) Delhi, one of the few institutes that offer a full-time BTech course in AI, said that it has seen high-scoring students take admission for this course, but the top rankers still chose the traditional CSE. Ashutosh Brahma, assistant manager (academics), IIIT-Delhi told indianexpress.com, AI is an ongoing trend. Students are opting for AI both at the masters and BTech level. While in MTech, there is more traction than at the undergraduate level. This is because traditionally in Indian education set-up students learn about a broad domain at UG level and go into specification at PG. Likewise, students tend to study CSE at UG and AI at PG level.

He, however, believes the trend is changing. AI is expected to follow the graph of research. Like earlier research education was introduced at masters level and PhD level, now even undergraduate level students are encouraged to study research. Likewise, with AI having multiple facets, its application is more evident, it will be more and more popular for ug courses too. We are slowly seeing the trend, he said.

IIT-Delhi, one of the highest-ranking Indian institutes has introduced a school in AI. However, the courses are offered at a postgraduate level. Prof Mausam, Jai Gupta Chair, Department of Computer Science and Engineering at IIT-Delhi, who is also the founding head of the School of Artificial Intelligence at the institute, said the lack of courses in AI at UG level stems from the debate among academicians on considering AI as a multidisciplinary field or a field on its own. Some academicians believe that because AI brings in philosophical issues such as cognitive science into the study, the core fundamentals of it are slightly different than computer science and it should be taught as a different field. Others believe that even though AI is a multidisciplinary field its fundamentals are based in CSE, math, and related fields. Those who take the latter approach tend to offer the courses at a masters and a higher level of education.

For institutes like IITs, IIMs, NITs, IIITs, and centrally-funded institutes, online platforms come in handy while offering such courses. Many cite the lack of trained faculty and curated courses as one of the main reasons behind much fewer courses than the demand.

Dated content, faculty shortage, and limited capacity to match the current and incoming student population are some of the critical constraints the Indian higher education faces, said Raghav Gupta, Managing Director, India and APAC, Coursera. The ed-tech platform has collaborated with over 3700 universities and is serving more than 2.4 million students who have enrolled in 21.4 million courses under Coursera for Campus initiative. Most of these collaborations are in the emerging technologies field.

Read| Emerging courses to pursue:Virology|Actuarial science| Pharma Marketing|FinTech|Coronavirus|Robotics | Healthcare Engineering | Cyber Security| Data Science | Petroleum and Energy | Design Strategy | Business analytics | Digital auditing | Digital marketing | Luxury management | Machine learning | Gaming Industry | Product design | Transport mobility design

Academicians believe that ed-techs can evolve faster than traditional institutes and can offer more courses in the emerging domains. The reason is that in general academia is a little risk-averse. We invest time in finding the relevant material and contextual case studies. We need to learn to evolve at the pace of the industry. And it needs to happen systematically, said Janat Shah, director, IIM-Udaipur. The institute, like several others, has a tie-up with the online platform Coursera to offer online courses in the emerging domain.

The challenge, however, is that the emerging digital fields are changing at a much faster pace than we anticipated, and institutes need to be responsive. At IIM-U, we are also using ed-tech and MOOC, especially for such fields. Institutions will have to develop the competencies to leverage ed-tech for the short and medium-term. The ed-tech can be leveraged systematically to address this problem, he said, adding that tier-II and III cities can leverage more from these platforms.

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JEE toppers opt for Computer Science over Artificial Intelligence, heres why - The Indian Express