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Bengalurus Aster CMI Hospital, in association with the Indian Institute of Science (IISc), launched an artificial intelligence (AI) lab on Friday. 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.

Speaking on how technology is transforming the healthcare system in India, Dr Azad Moopen, founder chairman and managing director of the Aster DM Healthcare conglomerate, said, With the use of AI, doctors and medical providers will now be able to deliver more accurate diagnosis in the fastest possible time, which can aid the treatment journey. Also, AI would be a big leap towards predictive and proactive data analytics, which will improve preventive care recommendations for patients. We are really glad to partner with IISc, which will open doors for healthcare professionals to undertake research and better utilize AI tools to understand their patients disease patterns and improve treatment outcomes significantly.

Commenting on the collaboration, Dr Lokesh B, a neurologist at the hospital, said, This lab will be hosted at Aster CMI to enable faster translation into the clinical care system. This collaboration is only a start; future scope includes exchange of personnel as well as joint workshops for increased cooperation in making AI in medicine more effective both for clinicians as well as patients. This is the first collaborative lab in the clinical environment with an aim to perform impactful as well as translatable research work in the space of AI in medicine.

Phaneendra K Yalavarthy, professor of medical imaging at the IISc, has been instrumental in setting up the lab by providing computational infrastructure and expertise. Yalavarthy said, Artificial intelligence-powered medical technologies have been rapidly evolving and have become powerful adjunct tools in clinical practice. The broad spectrum of digital medicine, especially to enable the 4P model of medicine (predictive, preventive, personalized, and participatory) involves natural collaboration between academic institutions and medical institutions. This artificial intelligence lab is a collaborative effort to develop these AI technologies in the hospital settings so that the translation to the clinic will be seamless. The initial focus of this collaborative lab will be in neurology and its scope will later be expanded to other clinical specialities.

The hospital will be working with Yalavarthy and his team on the development of deep-learning methods for automated tracking and segmentation of nerves in ultrasound images. Dr Sriram Ganapathy, associate professor of electrical engineering, has been collaborating on automatic acute stroke symptom detection using mobile health technologies and also on audio analytics in neurological disorders. These initial projects have a direct impact on the current clinical practice in neurosciences. The problem-solving requires deep technical and clinical knowledge, which the Aster-AI lab aims to bring together.

Excerpt from:
Aster launches artificial intelligence lab in collaboration with Bengaluru IISc - The Indian Express

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The EU is taking a bold step in its attempt to regulate artificial intelligence a technology that is increasingly used in many areas of public life. Unfortunately, artificial intelligence systems also exacerbate existing injustices and create new harms for people who already suffer from racial discrimination and systemic injustice. The EUs Artificial Intelligence Act brings a unique opportunity to correct and prevent those harms, and to give people ways to seek redress.

The Open Society European Policy Institute and European Digital Rights (EDRi) invite you to rewatch us on a deep dive with EU policy-makers, academic and civil society experts. The virtual conference explored how the Artificial Intelligence Act can be a positive force in Europe towards protecting peoples human rights and delivering social justice.

ORGANISED BY: The Open Society European Policy Institute and European Digital Rights (EDRi)

MEDIA PARTNER: EURACTIV

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Media Partnership - Discrimination and surveillance: Can the EU Artificial Intelligence Act fix injustice? - EURACTIV

Most festival visitors witnessed inventions for the first time, challenging guests to rethink the way we may one day go about our daily lives. Festival seekers were greeted by a host robot who encouraged fluid conversation in Arabic, speaking on a variety of topics from tourism, health and pop culture. Families, couples, and school groups from around the region of Qassim were encouraged to explore and immerse themselves throughout the 600 square meter event space, broken up into 3 experience zones:

In addition to the 3 zones, the festival offered a series of half-hour workshops relating to various technologies, beyond those featured in the zones, from ioT, blockchain, and quantum computing. The venue also provided groups with a leisure area where food trucks, pop-up coffee shops and lounge space could accommodate festival goers.

The festival was curated and organized by Knowliom, a Riyadh based agency that specializes in museum management, edutainment and informal educational programming. Adil Khan, Digital Fabrication Expert at Knowliom and Lead Festival Curator said, "It was essential to our team that we provide an awe inspiring guest experience while at the same time showcasing how real and accessible these inventions are and how they may improve our quality of life. Furthermore, Most festivals and gatherings of this caliber are hosted in the capital city of Riyadh, therefore it was an honor to bring cutting edge technology inventions and hands-on experiences into a relatively remote region of Saudi Arabia."

About Knowliom

Leading the way in informal learning experiences throughout the Kingdom of Saudi Arabia, Knowliom is a privately held company and member of All Group, a conglomerate of event-centric companies dedicated to enhancing the quality of life and elevating entertainment experiences around the region. Knowliom is an agency based in Riyadh, that provides museum operation solutions, edutainment as well as learning and cultural based programming to its clients. Working on a variety of projects, from art exhibitions, science museums to heritage festivals, Knowliom's team blends together its deep understanding of the local market with its broad perspective of international learning standards to deliver fun, interactive and meaningful experiences to festival, museum and programming guests.

For more information, please visit http://www.knowliom.comor contact [emailprotected]for direct inquiries.

SOURCE Knowliom

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Newly unveiled Qassim Science Center hosts its first event series, The Robotic and Artificial Intelligence Festival - PR Newswire

A recently announced report titled Global Artificial Intelligence (AI) in Drug Discovery Market Size, Share, Growth, Industry Trends and Forecast 2028 by Data Bridge Market Research aims to deliver a detailed investigation of all necessary data related to the global market. Artificial Intelligence (AI) in Drug Discovery Industry Research Report is an in-depth and deep Research on the present condition of the Artificial Intelligence (AI) in Drug Discovery industry in the global market. Furthermore, this Report presents a detailed overview; cost structure, size, revenue, growth, share, dynamics, competitive analysis, Companies and Artificial Intelligence (AI) in Drug Discovery strategy & statistics analysis. This Report is segmented on basis of product type, end-user, application and geographical regions. These trends are anticipated for the market during the forecast period from 2022 to 2028.

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Market Analysis and Size

Artificial Intelligence (AI) is described as a machine that uses advanced technologies to execute activities related to the human mind. Medicine discovery researchs main goal is to find drugs that can help in the prevention or treatment of specific diseases. The challenges of examining, gathering, and applying data to solve challenging medical problems in the pharmaceutical sector fuelled the demand for artificial intelligence (AI) in drug discovery market.

Data Bridge Market Research analyses that the Artificial Intelligence (Ai) In Drug Discovery Market is expected to reach the value of USD 7,818.93 million by 2029, at a CAGR of 41.0% during the forecast period. Artificial intelligences expanded applications in a variety of areas of medicine discovery, including polypharmacology, chemical synthesis, drug screening, drug design, and drug repurposing, are expected to significantly boost market growth.

Report Highlights:

The report firstly introduced Artificial Intelligence (AI) in Drug Discovery basics: definitions, classifications, applications and market overview; product specifications; manufacturing processes; cost structures, raw materials and so on. Then it analyzed the worlds main region market conditions, including the product price, profit, capacity, production, supply, demand and Artificial Intelligence (AI) in Drug Discovery market growth rate and forecast etc. In the end, the report introduced new project SWOT analysis, investment feasibility analysis, and investment return analysis.

Artificial Intelligence (AI) in Drug Discovery Market Dynamics

Drivers

Strategic collaborations and partnerships

The increasing number of cross-industry collaborations and partnerships will act as major driver influencing the markets growth rate.

Reduction in total time involved in drug discovery process

Competitive Analysis

Complete Report Details with Table of Content and Figures https://www.databridgemarketresearch.com/toc/?dbmr=global-artificial-intelligence-ai-in-drug-discovery-market

With an extensive SWOT analysis, the Data Bridge Market Research study presents the strengths, weaknesses, growth prospects and challenges of each player. The report also includes important data including the sales strategy, pricing strategy, and marketing strategy adopted by these players in the Artificial Intelligence (AI) in Drug Discovery market.

Artificial Intelligence (AI) in Drug Discovery Market: Segmentation

By Offering (Software, Services),

By Technology (Machine Learning, Other Technologies)

By Drug Type (Small Molecule, Large Molecules)

By Application (Immuno-Oncology, Neurodegenerative Diseases, Cardiovascular Disease, Metabolic Diseases, Other Applications)

By End-User (Pharmaceutical & Biotechnology Companies, Contract Research Organizations, Research Centres and Academic & Government Institutes)

Critical Questions Answered in the Report

COVID-19 Impact on Artificial Intelligence (AI) in Drug Discovery Market

The COVID-19 outbreak had a beneficial impact on the expansion of artificial intelligence in drug discovery industry due to its widespread use by various organization for the identification as well as screening of existing medicines used in the treatment of COVID-19. Artificial intelligence (AI) has been shown to be useful in detecting active chemicals for the prevention of SARS-CoV, HIV, SARS-CoV-2, influenza virus, and others. During the pandemic, economies all over the world relied on artificial intelligence-based medication discovery rather than traditional vaccine detection processes, which take years to create and are equally expensive, contributing to the growth of artificial intelligence (AI) in drug discovery market.

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Global Artificial Intelligence (AI) in Drug Discovery Market Scope

The artificial intelligence (AI) in drug discovery market is segmented on the basis of offering, technology, drug type, application and end user. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.

Offering

Based on offering, artificial intelligence (AI) in drug discovery market is segmented intosoftwareand services.

Technology

On the basis of technology, artificial intelligence (AI) in drug discovery market is segmented intomachine learningand other technologies. Machine learning has been further segmented into deep learning, supervised learning, reinforcement learning, unsupervised learning and other machine learning technologies.

Drug Type

Based on drug type, artificial intelligence (AI) in drug discovery market is segmented into small molecule and large molecules.

Application

On the basis of application, artificial intelligence (AI) in drug discovery market is segmented into immuno-oncology, neurodegenerative diseases, cardiovascular disease, metabolic diseases and other applications.

End-User

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An absolute way to forecast what future holds is to comprehend the trend today!Data Bridge set forth itself as an unconventional and neoteric Market research and consulting firm with unparalleled level of resilience and integrated approaches. We are determined to unearth the best market opportunities and foster efficient information for your business to thrive in the market. Data Bridge endeavors to provide appropriate solutions to the complex business challenges and initiates an effortless decision-making process.

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Excerpt from:
Artificial Intelligence (AI) in Drug Discovery Industry Share, Size, Emerging Technologies, Future Trends, Competitive Analysis, and CAGR of 41.0% By...

According to Data Bridge Market Research new analysis, The Global Artificial Intelligence in Aviation Market analysis provides a high-level summary of classification, competition, and strategic actions taken in recent years. For a global scenario, the global Artificial Intelligence in Aviation market report provides historical details, future forecasts, and market size.

Artificial Intelligence in Aviation report gives clear idea to this industry in regard with what is already available in the market, what market anticipates, the competitive environment, and what to be get done to surpass the competitor. The report presents key statistics on the market status of Global and Regional manufacturers and proves to be an important source of guidance and direction for companies and individuals interested in the industry. To achieve maximum return on investment (ROI), its very fundamental to figure out market parameters such as brand awareness, market landscape, possible future issues, industry trends and customer behaviour where this Artificial Intelligence in Aviation report comes into picture.

This global Artificial Intelligence in Aviation market research report has complete overview of the market, covering various aspects such as product definition, segmentation based on various parameters, and the prevailing vendor landscape. Information and data provided through the Artificial Intelligence in Aviation report can be very decisive for this industry when it comes to dominating the market or creating a mark in the market as a new emergent. The research study performed in Artificial Intelligence in Aviation report also helps to understand the various drivers and restraints impacting the market during the forecast period. This market research report serves a great purpose of better decision making and achieving competitive advantage.

Data Bridge Market Research analyses the artificial intelligence in aviation market will exhibit a CAGR of 46.3% for the forecast period of 2022-2029 and is likely to reach the USD 9,995.84 million by 2029.

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Top Players Analysed in the Report are:

Some of the major players operating in the artificial intelligence in aviation market are IBM, Microsoft, Amazon Web Services, Inc., Airbus S.A.S., Xilinx, NVIDIA Corporation, Intel Corporation, General Electric, Micron Technology, Inc., Garmin Ltd., Lockheed Martin Corporation, SAMSUNG, Thales Group, MINDTITAN, Mitsubishi Electric Corporation, OMRON Corporation, TAV Technologies and IRIS Automation, among others.

Porters five forces model in the report provides insights into the competitive rivalry, supplier and buyer positions in the market and opportunities for the new entrants in the global Artificial Intelligence in Aviation market over the period. Further, Growth Matrix gave in the report brings an insight into the investment areas that existing or new market players can consider.

Research Methodology

Our primary research involves extensive interviews and analysis of the opinions provided by the primary respondents. The primary research starts with identifying and approaching the primary respondents, the primary respondents are approached include

Our primary research respondents typically include

Secondary research involves extensive exploring through the secondary sources of information available in both the public domain and paid sources. Each research study is based on over 500 hours of secondary research accompanied by primary research. The information obtained through the secondary sources is validated through the crosscheck on various data sources.

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Who Will Get Advantage of This Report?

The prime aim of the Global Artificial Intelligence in Aviation Market is to provide industry investors, private equity companies, company leaders and stakeholders with complete information to help them make well-versed strategic decisions associated to the chances in the Concealed Door Closer market throughout the world.

The secondary sources of the data typically include

Key Market Segmentation:

On the basis of technology, the artificial intelligence in aviation has been segmented into computer vision, machine learning, context awareness computing and natural language processing. Machine learning is further segmented into deep learning, supervised learning, unsupervised learning, reinforcement learning and semi-supervised learning.

Based on offering, the artificial intelligence in aviation market has been segmented into hardware, software and services. Hardware is further segmented into processors, memory and networks. Software is further segmented into AI solutions and AI platforms. Services are further segmented into deployment and integration and support and maintenance.

On the basis of application, the artificial intelligence in aviation market has been segmented into dynamic pricing, virtual assistants, flight operations, smart maintenance, manufacturing, surveillance, training and other applications. Manufacturing is further segmented into material movement, predictive maintenance and machinery inspection, production planning, quality control and reclamation.

Key Elements that the report acknowledges:

To check the complete Table of Content click here: @ https://www.databridgemarketresearch.com/toc/?dbmr=global-artificial-intelligence-in-aviation-market

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About Data Bridge Market Research, Private Ltd

Data Bridge Market ResearchPvtLtdis a multinational management consulting firm with offices in India and Canada. As an innovative and neoteric market analysis and advisory company with unmatched durability level and advanced approaches. We are committed to uncover the best consumer prospects and to foster useful knowledge for your company to succeed in the market.

Data Bridge Market Research is a result of sheer wisdom and practice that was conceived and built-in Pune in the year 2015. The company came into existence from the healthcare department with far fewer employees intending to cover the whole market while providing the best class analysis. Later, the company widened its departments, as well as expands their reach by opening a new office in Gurugram location in the year 2018, where a team of highly qualified personnel joins hands for the growth of the company. Even in the tough times of COVID-19 where the Virus slowed down everything around the world, the dedicated Team of Data Bridge Market Research worked round the clock to provide quality and support to our client base, which also tells about the excellence in our sleeve.

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Artificial Intelligence in Aviation Market Giants Spending Is Going To Boom Forecast By 2029 - Digital Journal