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AI at Facebook Improves Urdu to English Translation

Earlier this year, Microsoft brought machine learning to improve language translation for Hindi, Bengali and Tamil

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Artificial Intelligence (AI) researchers at Facebook have set a new record in improving translation from Urdu to English.

San Francisco, Sep 2 (IANS) Artificial Intelligence (AI) researchers at Facebook have set a new record in improving translation from Urdu to English.

Neural Machine Translation (NMT) is the field concerned with using AI to do translations in any language.

The team from Facebook AI Research (FAIR) has seen a dramatic improvement in its results, the Forbes reported on Saturday.

“To give some idea of the level of advancement, an improvement of 1 BLEU point (a common metric for judging the accuracy of MT) is considered a remarkable achievement in this field; our methods showed an improvement of more than 10 BLEU points,” the team said in a paper that described translation from Urdu to English.

Facebook AI researchers seek to understand and develop systems with human-level intelligence by advancing the longer-term academic problems surrounding AI.

The research covers the full spectrum of topics related to AI, and to deriving knowledge from data: theory, algorithms, applications, software infrastructure and hardware infrastructure.

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Facebook App on a smartphone device. (VOA)

“Long-term objectives of understanding intelligence and building intelligent machines are bold and ambitious, and we know that making significant progress towards AI can’t be done in isolation,” said researchers from FAIR.

FAIR researchers have tested a new approach that teaches bots how to chit-chat like humans.

Facebook is making deep investments in AI technology and in May announced the next version of its open-source AI framework for developers.

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Microsoft is currently leading when it comes to AI and Deep Neural Networks to improve real-time language translation.

Earlier this year, Microsoft brought machine learning to improve language translation for Hindi, Bengali and Tamil.

With Deep Neural Networks-powered language translation, the results are more accurate and the sound more natural. (IANS)

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Dell EMC Announces New Solutions Based on Artificial Intelligence

According to an IDC estimate, 40 per cent of digital transformation initiatives will use AI services by 2019

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To help organisations realise the full potential of Artificial Intelligence (AI), Dell EMC on Tuesday announced new solutions designed to simplify the AI environment and accelerate its adoption.

With the new “Ready Solutions for AI”, organisations no longer have to individually source and piece together their own solutions, Dell EMC said in a statement.

Instead, they can rely on a Dell EMC-designed and validated set of best-of-breed technologies for software – including AI frameworks and libraries – with compute, networking and storage, the company added.

Dell EMC said its portfolio of services, including consultation, deployment and support, among others, helps customers drive the rapid adoption and optimisation of their AI environments.

“There’s no doubt that AI is the future, and our customers are preparing for it now,” said Tom Burns, Senior Vice President, Networking and Solutions, Dell EMC.

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Dell EMC releases new AI solutions for digital transformation. Pixabay

“Our goal is to lead the industry with the most powerful and fully-integrated AI solutions. What we’re announcing today allows customers at any scale to start seeing better business outcomes and positions them for AI’s increasingly important role in the future,” Burns added.

According to an IDC estimate, 40 per cent of digital transformation initiatives will use AI services by 2019.

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The new AI solutions from Dell EMC come with specialised designs for Machine Learning (ML) with Hadoop, an ecosystem of open source components, and Deep Learning with Nvidia, a US-based computer chip manufacturer.

Dell EMC, a part of Dell Technologies, enables organisations to modernise, automate and transform their data centre using industry-leading converged infrastructure, servers, storage and data protection technologies. (IANS)

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