Recently Google has made a set of educational resources about machine learning and AI available, including a free online machine learning crash course that anyone can use to learn and practice machine learning concepts.The opportunity is huge and not constrained by location – a company in Bangalore or Gurgaon could serve the whole world.Every year, Google tends to give large grants to over 250 academic research projects worldwide, supports PhD students, and hosts thousands of interns.When every developer, entrepreneur or researcher can leverage the power of intelligent systems, there’s no limit to what AI/ML can accomplish, and that benefits all of us.Jeff Dean, Senior Fellow, Google and Prabhakar Raghavan, VP, Apps Google Cloud kicked off the workshop by sharing Google’s vision for AI and the work we are doing to help businesses and developers innovate with AI. This does, however, require for the whole eغير مجاز مي باشدystem, be it government, industry professionals, academia or the developer community to come together and identify areas and opportunities; participate and contribute to high-quality research and innovation, and turn these systems into effective business models.India already has some of the key ingredients to becoming a major force in leading the next generation of disruptive innovation in machine learning (ML): a tech-savvy talent pool, renowned universities, healthy levels of entrepreneurship and strong corporations.Bringing together people from different parts of the community in a workshop is one step the Google’s seems to be taking to inspire people in India to innovate with AI.(Source). As a first step towards that, the company organised a workshop at their campus in Bangalore, to bring together a cross-section of the AI and ML community in India. Faculty and researchers from the IITs and other leading universities, and industry practitioners from both startups and bigger companies including Amazon, Flipkart, LinkedIn, Myntra, Microsoft and Ola participated and spoke on the ongoing research and work being undertaken in India in many areas of AI/ML such as Deep Learning, Computer Vision, Natural Language Processing, ML Systems, and Generative Models.Google wants to actively work with the community to foster and nurture the eغير مجاز مي باشدystem. This is over and above the grants, they have already made since 2012 to faculty and PhD students in India to support academic research and they are given as unrestricted grants with no return obligation (IP etc) to Google. It also provides researchers, companies and developers with tools to solve complex problems with machine learning, including the open-source machine learning framework TensorFlow, custom-built machine learning chips TPUs, and Cloud AI – a suite of products to help businesses build their own machine learning powered services from pre-trained APIs to Cloud AutoML and the Cloud Machine Learning Engine.

In fact, a recent report by Accenture concluded that India, by embracing AI technologies could add nearly trillion to its GDP arc MMA welder Factory by 2035. Google believes that AI will help tackle huge challenges like healthcare, environmental protection and other social and developmental problems, while also spurring innovation for businesses and developers.Artificial intelligence has the potential to improve people’s lives in profound ways — from helping diagnose diseases and breaking down language barriers to making businesses more efficient.Likewise, for entrepreneurs, Google is working on an accelerator program, based in India, focused primarily on AI/ML technologies. The global accelerator program has already supported over 30 Indian startups of which six are focused on applied AI/ML innovation. At the event in Bangalore, the company announced an additional focused award round to support five faculty members in India on their AI research proposal

com Inc, Alphabet Inc, Facebook Inc and Uber Technologies Inc have long paid lucrative salaries to highly technical candidates with machine learning skills.” - By Bloomberg.The technology sector has offered the highest-paying jobs in the US for the last four consecutive years, according to a recent Glassdoor report. Across the board, companies are paying six-figure salaries to attract workers from a limited pool of qualified candidates.A director of analytics received the highest average pay among AI and machine learning jobs this year, topping off at 0,837, the report stated. Principal scientists, machine learning engineers, computer vision engineers and data scientists also saw highly competitive salaries, with the lowest average base pay well over USD 130,000.Prospective employees are increasingly seeking out those jobs, too.From Silicon Valley to Wall Street, there’s increasing demand for highly-skilled workers in Artificial Intelligence and machine learning. “As companies continue to adopt AI solutions or develop their own in-house capabilities, it’s likely that demand by employers for these skills will continue to rise.“The industry needs to be creative in order to solve the supply-demand imbalance, one way to do so is by embracing job seekers with non-traditional backgrounds or by training them on the job,” Mukherjee said. Search entries for AI and machine learning positions have increased by 182 percent over the last three years. Surprisingly, New York and not San Francisco boasts the highest percentage of AI and machine learning positions in a single metro area, with more than 11 per cent of national job postings.Now other industries, including finance and healthcare, are doling out hefty paychecks as they seek to grab AI talent.com.If you’re looking to get into AI, set your sights on New York City, according to the report.The number of job postings featuring “artificial intelligence” or “machine learning” in their description has doubled since 2015, according to global jobs site Indeed. The report identified job titles that saw more than 20 per cent of postings list “artificial intelligence” or “machine learning” in the description and derived information about salary and location. Companies pulse MIG welder Manufacturers such as Apple Inc, Amazon.”Indeed said it analysed millions of job postings in the US from June 2015 through June 2018.

But more job searches don’t mean more qualified applicants, as industries struggle to find sufficiently skilled candidates.“As AI development and adoption continues to rise across industries, it’s likely there will be more competition for this talent,” said Raj Mukherjee, senior vice president of product at Indeed.“It may be cause for concern for employers looking to find workers with AI skill sets, since these jobs require highly skilled workers with backgrounds in natural language processing, machine learning, and data science. But there’s a limited pool of talent, and viable candidates who smell the desperation are putting a high price on their skills

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