Wednesday November 13, 2019
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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.

Dell EMC
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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IIT-Madras Develops AI Model for Learning and to Solve Engineering Problems

The researchers utilised a data-driven AI and a deep learning model to arrive at solutions for engineering problems after training the AI with data sets

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IIT-Madras
The researchers of IIT-Madras are going to establish a start-up to deploy their AI Software called 'AISoft' to develop solutions to engineering problems in varied fields. Pixabay

The Indian Institute of Technology, IIT-Madras on Monday said its researchers have developed algorithms that enable novel applications for artificial intelligence (AI), machine learning and deep learning to solve engineering problems.

The researchers are going to establish a start-up to deploy their AI Software called ‘AISoft’ to develop solutions to engineering problems in varied fields such as in thermal management, semiconductors, automobile, aerospace and electronic cooling applications.

“We tested AIsoft and used it to solve such thermal management problems. We found it to be nearly million-fold faster compared to existing solutions currently used in the field,” said Vishal Nandigana, Assistant Professor, Fluid Systems Laboratory, Department of Mechanical Engineering.

“Our AI works on any generalised rectilinear and curvilinear input geometry. Our research saves the computational time, which is the bottleneck to solve most engineering problems, Nandigana added.

The researchers utilised a data-driven AI and a deep learning model to arrive at solutions for engineering problems after training the AI with data sets.

These prior data sets can be from existing big data in the relevant engineering industry where there are lots of experimental data available.

IIT-Madras
IIT-Madras on Monday said its researchers have developed algorithms that enable novel applications for artificial intelligence (AI), machine learning and deep learning to solve engineering problems. Pixabay

Also, if data is not available for training the AI, it can be generated using commercially-available CFD (Computational Fluid Dynamics) software on small independent pieces of the full-blown problem.

This idea is new and is only now being looked at by a few research groups across the world. Most of these research groups use Convolutional Neural Networks (CNN) or C-GAN (conditional generative adversarial network) to solve engineering problems.

They have also developed hardware products using graphics processing unit (GPU) and multi-threading processing to solve thermal management problems in thermal and electronic cooling industries.

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Both the software and hardware products are several times faster than commercial numerical method software and open source software in the market.

These algorithms will solve a lot of pressing problems for industries and can also be used for educational purposes. (IANS)