Asia


Why Learn Machine Learning and Artificial Intelligence?

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Machine learning, artificial intelligence (ML & AI) and big data form up a new niche area that is seeing a fast-paced growth rate in India. To clarify terminologies for a layperson, AI is basically all about mimicking human intelligence in machines, ML is a sub-set of AI and is about techniques that enable these machines to continuously learn on their own through data and perform a desired set of processes. Big Data analytics is about extracting huge data and observing unanticipated patterns from the same, while ML uses the same to provide incremental data/information to help the machine learn on its own. Data science and big data industry in India is growing at 33per cent CAGR (Compounded annual growth rate) and stood at $2.71 Billion in 2018. While the Finance & Banking industry leads the share in the analytics market, travel-hospitality and healthcare saw the fastest growth in recent years, in terms of analytics-use.


Multilingual translation tools spread in Japan with new visa system

The Japan Times

The use of multilingual translation tools is expanding in Japan, where foreign workers are expected to increase in the wake of April's launch of new visa categories. A growing number of local governments, labor unions and other entities have decided to introduce translation tools, which can help foreigners when going through administrative procedures as they allow local officials and other officers to talk to such applicants in their mother languages. "Talking in the applicants' own languages makes it easier to convey our cooperative stance," said an official in Tokyo's Sumida Ward. The ward introduced VoiceBiz, an audio translation app developed by Toppan Printing Co. that covers 30 languages. The app, which can be downloaded onto smartphones and tablet computers, will be used in eight municipalities, including Osaka and Ayase in Kanagawa Prefecture, company officials said.


Now, artificial intelligence to enhance safety at petrol pumps - ET EnergyWorld

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KOCHI: Don't be surprized if you receive personalized offers based on your vehicle profile, the next time you pull into an Indian Oil petrol pump. Neuroplex, a startup that emerged from Future Technologies Lab an initiative by Kerala Startup Mission has signed an agreement with Indian Oil Corporation (IOC) to use artificial intelligence (AI) to qualitatively improve customer interaction and safety in their petrol pumps across the country. Their signature product'Eyes Age' uses deep learning to empower video surveillance with AI capabilities. It creates visual relationships between objects in the video which allows for a logical analysis of video data. "The system can identify customers by analysing the number plate of the vehicle and give them unique offers," said Keerthi, a developer with Neuroplex.


Why is the white hot Chinese tech sector cooling down?

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China's once scorching tech sector is cooling off. "Winter is coming," laughs Lin Liu, a 29-year-old Shanghai tech worker. Electric vehicles, industrial robots, and microchip production all slowed recently. Big firms like Alibaba, Tencent, and search engine Baidu have slashed jobs. Overall, one in five Chinese tech companies plans to cut recruitment, says jobs site Liepin.com.


Machine Learning Institute (Training) Course in Chandigarh

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Machine learning future has just begun and you can grab this opportunity to build your future and earn good salary packages in the industry. If you want to become a data scientist or want to lead the team of analysts, enrol in machine learning training in Mohali. We help you to clear your doubts and learn data science techniques, gain expertise in machine learning algorithms. You will learn to handle multi-variety or multi-dimensional data in dynamic environments. Don't get confused to choose your career path as you can build a successful career in machine learning.


Senior Database Developer - IoT BigData Jobs

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Zeta Global is currently seeking a strong Database Developer to join our Technical Services team for a long term & rewarding full-time role. In this role we're looking for someone that is comfortable working with / supporting multiple databases & data-driven, web-based, marketing applications and solutions. Job Description: Developer position is primarily responsible for design, development, deployment, and production support for API, middle tier and database solutions, interacting with RESTful and SOAP API's, service layer, batch file import and extract, and web-based applications. The ability to work in a team environment is necessary. Candidate will focus on developing in a multi-tiered environment.


Chinese AI & Conversational Commerce Market Overview: Alibaba Enters Connected Car Market

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Alibaba has enabled the AliGenie virtual assistant in Audi, BMW, Honda, Renault, and Volvo vehicles. This article in The Motley Fool identifies a range of services that AliGenie enables as the conversational commerce portal to Alibaba's Taobao and Tmall marketplaces as well as to Alipay: It also acts as a hub for a wide range of smart home devices. Last year, Alibaba introduced Tmall Genie Auto, a version for connected cars. BMW and Volvo initially agreed to install Alibaba's speakers in their cars, and the company recently added Volkswagen's Audi, Renault, and Honda to its customer list. However, China's smartphone shipments fell 14% last year, according to Canalys, due to the saturation of the market.


Role of Artificial Intelligence in the Indian Manufacturing environment

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This story has appeared in "The Machinist" magazine May 2019 issue. Artificial Intelligence (AI) in Manufacturing domain is pretty much where Digitization was about 10–15 years ago. Very few people are actively doing anything with it, few folks have it on presentation slides and most people want to go with it but don't know where to start. This is not just the story in India but also a global one. As manufacturing companies are starting to see value from digitization, AI brings the promise to increase that value exponentially.


UVA Scientists Use Machine Learning to Improve Gut Disease Diagnosis

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Machines use Google-type algorithms on biopsy images to help children get treatment faster. A study published in the open access journal JAMA Open Network today by scientists at the University of Virginia schools of Engineering and Medicine says machine learning algorithms applied to biopsy images can shorten the time for diagnosing and treating a gut disease that often causes permanent physical and cognitive damage in children from impoverished areas. In places where sanitation, potable water and food are scarce, there are high rates of children suffering from environmental enteric dysfunction, a disease that limits the gut's ability to absorb essential nutrients and can lead to stunted growth, impaired brain development and even death. The disease affects 20 percent of children under the age of 5 in low- and middle-income countries, such as Bangladesh, Zambia and Pakistan, but it also affects some children in rural Virginia. For Dr. Sana Syed, an assistant professor of pediatrics in the UVA School of Medicine, this project is an example of why she got into medicine.


The Global Push to Advance AI

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While different nations often see matters of national policy in very different terms, there are times of nearly universal agreement. That's the case today when it comes to commitments to fuel the advancement of artificial intelligence. Governments around the world agree on the importance of investing in AI initiatives. This point is underscored in a recent report by McKinsey Global Institute. The briefing notes that China and the United States are leaders in AI-related research activities and investments, followed by a second group of countries that includes Germany, Japan, Canada and the United Kingdom.