Archive for the ‘Artificial Intelligence’ Category

Amazon’s Tactful Filtration of Skilled Artificial Intelligence Talents – Analytics Insight

Amazon conducts talent hunts every year to ensure a strong AI workforce

Amazon is an eCommerce and tech giant that leverages artificial intelligence to its best and thrives on digital transformation. It is evidently justified by its creative innovations such as Alexa. To continue the rich legacy of digital and AI solutions, Amazon hunts for the most talented skilled artisans in AI.

Amazon conducts talent hunts every year to ensure a strong AI workforce that ensures a steady yield of profit and returns on investment (ROI). One effective way Amazon follows to hires the most skilled and astute AI professionals is by taking classes in machine learning. The company believes that the authorities and seniors can teach the newcomers about machine learning, which they can master over few weeks. The training is provided in a way that the professionals are able to work diligently on cutting-edge projects after they are hired.

Amazon curates coursework that involves teaching Python to the new recruits. Python is a programming language, widely used by machine learning experts. The coursework also involves the teaching of rudimentary machine learning concepts such as statistical regression methods that are used for predicting product prices. However, these courses should not be confused with formal college courses.

The new recruits are also asked to take tests and work on forecasting models, which helps the recruiters to assess the progress and potential of the new recruits. This process of recruitment also helps Amazon to expand the pool of AI professionals.

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Amazon's Tactful Filtration of Skilled Artificial Intelligence Talents - Analytics Insight

Top NITs and IITs offering Artificial Intelligence Courses in 2021 – Analytics Insight

IIT Hyderabad is providing an M.Tech course of 2 years in Artificial Intelligence. The admission for this course is conducted in two modes: Mode R1 and Mode R2. For Mode R1, candidates must have a valid GATE score from subjects like CS/ST/MA/EE/EC. For Mode R2, candidates must have passed or in the final year of M.Ac/ B.Tech/ B.E with a minimum of 8.0 CGPA. The shortlisted candidates are declared based on the valid information in the application form. In Mode R1, candidates are selected as per the GATE score. In Mode R2, candidates are shortlisted as per academics qualifying marks secured in the qualifying exam.

IIT Delhi is offering a Ph.D. program in the school of artificial intelligence. It is also providing a 6 monthly course on artificial intelligence with a certificate. The program coordinators are Dr. Hariprasad Kodamana, a Ph.D. from IIT Bombay, Dr. Agam Gupta, a fellow of the Indian Institute of Management Calcutta (IIM Calcutta), and Dr. Manojkumar Ramteke, a Ph.D. from the Department of Chemical Engineering, IIT Kanpur. Participants of this course will be awarded a successful completion certificate from IIT Delhi on scoring at least 50% points in each of the evaluation components and maintaining a minimum attendance of 70%. Participants who are unable to maintain 50% points in the evaluation components, but have a minimum attendance of 90% shall be awarded a participation certificate.

Career Accelerator is IIT Kanpurs flagship training and internship program in AI, IoT, Machine Learning, and Data Science. The Career Accelerator Program is conducted in two phases (30 days + 15 days) for an ideal learning experience.

The department of information technology, National Institute of Technology Karnataka Surathkal has decided to start a new course in Artificial Intelligence. The Academic Senate, Board of the Institute, and Ministry of Education have approved a new four-year B.Tech program in Artificial Intelligence for the coming academic year 2021-22. The admissions to the program will be through JEE (Main) score.

M.Tech in Data Analytics offered by the Department of Computer Applications is available at NIT, Trichy. The course seeks to present its students with a vast knowledge base and wide range of data analytic techniques and is structured around the broad contours of the different types of data analytics. This programme is aimed at equipping students with the knowledge and familiarity of various tools that are necessary for big data analytics.

The E&ICT Academy at NIT Warangal has launched an online-only Post-Graduate Program in Machine Learning and AI in partnership with Edureka. The PG Program has been designed specifically for professionals who want to become experts in Machine Learning & AI or who want to transform their careers altogether. The program comprises 450 hours of intensive learning developed & curated by NIT Warangal faculty and leading Industry experts.

Indian Institute of Technology (IIT) Patna in collaboration with WileyNXT has launched a Post Graduate Certification Course in three key fields; i.e. Cybersecurity and Blockchain; AI & Machine Learning; and Big Data Engineering. The six-month online professional certification programs come with over 150 hours of learning, several capstone projects and real-world case studies, immersions at the campus, and masterclasses by top industry experts and business technology drivers in India. These are designed to drive IT professionals towards growth in career and salaries and enable them to learn cutting-edge technologies in-depth.

IIT Guwahati is set to offer a B.Tech course in Data Science and Artificial Intelligence for the 2021-22 academic session, and the admission process will be based on JEE score. IIT Guwahati has signed a Memorandum of Understanding (MoU) with the Mehta Family Foundation (MFF) USA to offer UG and PG courses in Data Science and Artificial Intelligence. As a part of this MoU, IIT Guwahati will set up the Mehta Family School of Data Science and Artificial Intelligence on its campus. The MoU was signed virtually by IIT Guwahati Director, TG Sitharam, and Rahul Mehta, CEO of Mehta Family Foundation, USA.

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Top NITs and IITs offering Artificial Intelligence Courses in 2021 - Analytics Insight

Avnet empowers the Artificial Intelligence ecosystem with its partners – Taiwan News

Jointly demonstrate innovative AI technologies and applications at the Avnet AI Cloud Exhibition

SINGAPORE - Media OutReach - 3 June 2021 - Leading global technology distributor and solutions provider Avnet Asia will host the "Avnet AI Cloud Exhibition", showcasing innovative technology, applications and solutions in artificial intelligence (AI) and machine learning together with its suppliers and partners. With the ability to quickly design, develop and deploy solutions, Avnet can meet the needs of a variety of application scenarios to accelerate the industrialization of artificial intelligence.

During this period, Avnet will also hold the "Avnet 2021 Artificial Intelligence Cloud Conference" on June 29, 2021. Joined by developers, engineers, and decision makers in the AI field, the summit will feature cutting-edge technology trends in artificial intelligence and machine learning, and in-depth discussions on the development, future prospects and blueprints for AI to encourage and accelerate innovation.

KS Lim, senior director of supplier management at Avnet Asia said, "MarketsandMarkets forecasts the global artificial intelligence (AI) market size to grow to over USD 300 billion by 2026, and the market in Asia Pacific is anticipated to grow at the highest CAGR during the forecast period. As the world's leading technology distributor and solution provider, Avnet has a comprehensive ecosystem that provides customers with end-to-end artificial intelligence and machine learning solutions, reducing the cost and complexity of product development to enable application scenarios. We will continue to work hand in hand with our suppliers and partners to further contribute to the development and maturity of the entire AI ecosystem."

The virtual exhibition is divided into three sections: AI smart solution demonstration area, Avnet design service demonstration area, and a partner solution demonstration area. In the AI smart solution demonstration area, participants can learn about Avnet's various innovative technologies and industrial applications, including:

In the partner demonstration area, Avnet's suppliers and partners will also showcase their innovations:

From now till end July, visit http://avnet.mofyi.com/avnet_en/ to learn more about the artificial intelligence technologies, applications and solutions by Avnet and its partners.

As a leading global technology distributor and solutions provider, Avnet has served customers' evolving needs for an entire century. We support customers at each stage of a product's lifecycle, from idea to design and from prototype to production. Our unique position at the center of the technology value chain enables us to accelerate the design and supply stages of product development so customers can realize revenue faster. Decade after decade, Avnet helps its customers and suppliers around the world realize the transformative possibilities of technology. Learn more about Avnet at http://www.avnet.com.

#Avnet #AI #ArtificialIntelligence

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Avnet empowers the Artificial Intelligence ecosystem with its partners - Taiwan News

The UN needs to start regulating the Wild West of artificial intelligence – Business Standard

PRI GEN INT .MONTREAL FGN6 UN-ARTIFICIAL-INTELLIGENCE The United Nations needs to start regulating the Wild West' of artificial intelligence By Eleonore Fournier-Tombs, McGill University Montreal (Canada), Jun 1 (The Conversation) The European Commission recently published a proposal for a regulation on artificial intelligence (AI). This is the first document of its kind to attempt to tame the multi-tentacled beast that is artificial intelligence. The sun is starting to set on the Wild West days of artificial intelligence, writes Jeremy Kahn. He may have a point. When this regulation comes into effect, it will change the way that we conduct AI research and development. In the last few years of AI, there were few rules or regulations: if you could think it, you could build it. That is no longer the case, at least in the European Union. There is, however, a notable exception in the regulation, which is that is does not apply to international organisations like the United Nations. Naturally, the European Union does not have jurisdiction over the United Nations, which is governed by international law. The exclusion therefore does not come as a surprise, but does point to a gap in AI regulation. The United Nations therefore needs its own regulation for artificial intelligence, and urgently so. AI in the United Nations Artificial intelligence technologies have been used increasingly by the United Nations. Several research and development labs, including the Global Pulse Lab, the Jetson initiative by the UN High Commissioner for Refugees , UNICEF's Innovation Labs and the Centre for Humanitarian Data have focused their work on developing artificial intelligence solutions that would support the UN's mission, notably in terms of anticipating and responding to humanitarian crises. United Nations agencies have also used biometric identification to manage humanitarian logistics and refugee claims. The UNHCR developed a biometrics database which contained the information of 7.1 million refugees. The World Food Programme has also used biometric identification in aid distribution to refugees, coming under some criticism in 2019 for its use of this technology in Yemen. In parallel, the United Nations has partnered with private companies that provide analytical services. A notable example is the World Food Programme, which in 2019 signed a contract worth US$45 million with Palantir, an American firm specializing in data collection and artificial intelligence modelling. No oversight, regulation In 2014, the United States Bureau of Immigration and Customs Enforcement (ICE) awarded a US$20 billion-dollar contract to Palantir to track undocumented immigrants in the U.S., especially family members of children who had crossed the border alone. Several human rights watchdogs, including Amnesty International, have raised concerns about Palantir for human rights violations. Like most AI initiatives developed in recent years, this work has happened largely without regulatory oversight. There have been many attempts to set up ethical modes of operation, such as the Office for the Co-ordination of Humanitarian Affairs' Peer Review Framework, which sets out a method for overseeing the technical development and implementation of AI models. In the absence of regulation, however, tools such as these, without legal backing, are merely best practices with no means of enforcement. In the European Commission's AI regulation proposal, developers of high-risk systems must go through an authorization process before going to market, just like a new drug or car. They are required to put together a detailed package before the AI is available for use, involving a description of the models and data used, along with an explanation of how accuracy, privacy and discriminatory impacts will be addressed. The AI applications in question include biometric identification, categorisation and evaluation of the eligibility of people for public assistance benefits and services. They may also be used to dispatch of emergency first response services all of these are current uses of AI by the United Nations. Building trust Conversely, the lack of regulation at the United Nations can be considered a challenge for agencies seeking to adopt more effective and novel technologies. As such, many systems seem to have been developed and later abandoned without being integrated into actual decision-making systems. An example of this is the Jetson tool, which was developed by UNHCR to predict the arrival of internally displaced persons to refugee camps in Somalia. The tool does not appear to have been updated since 2019, and seems unlikely to transition into the humanitarian organization's operations. Unless, that is, it can be properly certified by a new regulatory system. Trust in AI is difficult to obtain, particularly in United Nations work, which is highly political and affects very vulnerable populations. The onus has largely been on data scientists to develop the credibility of their tools. A regulatory framework like the one proposed by the European Commission would take the pressure off data scientists in the humanitarian sector to individually justify their activities. Instead, agencies or research labs who wanted to develop an AI solution would work within a regulated system with built-in accountability. This would produce more effective, safer and more just applications and uses of AI technology. (The Conversation) AMS AMS 06011028 NNNN

(Only the headline and picture of this report may have been reworked by the Business Standard staff; the rest of the content is auto-generated from a syndicated feed.)

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The UN needs to start regulating the Wild West of artificial intelligence - Business Standard

Artificial Intelligence In Healthcare Market Worth $120.2 Billion By 2028: Grand View Research, Inc. – PRNewswire

SAN FRANCISCO, June 1, 2021 /PRNewswire/ -- The global artificial intelligence in healthcare marketsize is expected to reach USD 120.2 billion by 2028 and is expected to expand at a CAGR of 41.8% over the forecast period, according to a new report by Grand View Research, Inc. Growing technological advancements coupled with an increasing need for efficient and innovative solutions to enhance clinical and operational outcomes is contributing to market growth. The pressure for cutting down spending is rising globally as the cost of healthcare is growing faster than the growth of economies. Advancements in healthcare IT present opportunities to cut down spending by improving care delivery and clinical outcomes. Thus, the demand for AI technologies is expected to increase in the coming years.

Key suggestions from the report:

Read 150 page research report with ToC on "Artificial Intelligence In Healthcare Market Size, Share & Trends Analysis Report By Component (Software Solutions, Hardware, Service), By Application (Robot Assisted Surgery, Connected Machines, Clinical Trials), And Segment Forecasts, 2021 - 2028" at:https://www.grandviewresearch.com/industry-analysis/artificial-intelligence-ai-healthcare-market

Moreover, the ongoing COVID-19 pandemic and the introduction of technologically advanced products to improve patient care are factors anticipated to drive growth further in the coming years. The ongoing COVID-19 pandemic is further driving the adoption of AI in various applications such as clinical trials, diagnosis, and virtual assistants to add value to health care by analyzing complicated medical images of patient's complications and supporting clinicians in detection as well as diagnosis. Moreover, an increase in the number of AI startups coupled with high investments by venture capitalist firms for developing innovative technologies that support fast and effective patient management, due to a significant increase in the number of patients suffering from chronic diseases, is driving the market.

In addition, the shortage of public health workforce has become a major concern in many countries around the world. This can mainly be attributed to the growing demand for physicians, which is higher than the supply of physicians. As per the WHO estimates in 2019, the global shortage of skilled personnel including nurses, doctors, and other professionals was approximately 4.3 million. Thus, the shortage of a skilled workforce is contributing to the demand for artificial intelligence-enabled systems in the industry.

Grand View Research has segmented the global artificial intelligence in the healthcare market on the basis of component, application, and region:

Find more research reports on Healthcare IT Industry, by Grand View Research:

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About Grand View Research

Grand View Research, U.S.-based market research and consulting company, provides syndicated as well as customized research reports and consulting services. Registered in California and headquartered in San Francisco, the company comprises over 425 analysts and consultants, adding more than 1200 market research reports to its vast database each year. These reports offer in-depth analysis on 46 industries across 25 major countries worldwide. With the help of an interactive market intelligence platform, Grand View Research helps Fortune 500 companies and renowned academic institutes understand the global and regional business environment and gauge the opportunities that lie ahead.

Contact: Sherry James Corporate Sales Specialist, USA Grand View Research, Inc. Phone: 1-415-349-0058 Toll Free: 1-888-202-9519 Email: [emailprotected]Web: https://www.grandviewresearch.comFollow Us: LinkedIn| Twitter

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Artificial Intelligence In Healthcare Market Worth $120.2 Billion By 2028: Grand View Research, Inc. - PRNewswire