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Indian Railways to use artificial intelligence

Earlier, railways used a manual maintenance system

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Indian Railways is one of the most important and controversial transport in India. Wikimedia Commons
Indian Railways is one of the most important and controversial transport in India. Wikimedia Commons

New Delhi. November 21, 2017:

Aiming to reduce the possibilities of signals failing, Indian Railways has undertaken remote condition monitoring of the system, a new approach for the national transporter, to predict failures through the effective use of Artificial Intelligence.

The Signalling system is vital for safe train operations and the railways completely depend on the health of its signalling assets along with real-time information.

Currently, the railways follow a manual maintenance system and adopt find-and-fix methods rather than predict-and-prevent approach.

“Now, we are introducing remote condition monitoring using non-intrusive sensors for continuous online monitoring of signals, track circuits, axle counters and their sub-systems of interlocking, power supply systems including the voltage and current levels, relays, timers,” said a senior Railway Ministry official involved with the project.

The system entails the collection of inputs on a pre-determined interval and sending this to a central location.

As a result, any flaws or problems in the signalling system would be detected on a real-time basis and rectified to avoid possible delays and mishaps.

The failure of signals is one of the major reasons for train accidents and delays.

Currently, remote monitoring of signalling is operational in Britain.

The system envisages data transfer through a wireless medium (3G, 4G and high-speed mobile) and data based on these inputs will be utilised, with help of Artificial Intelligence (AI), for predictive and prescriptive Big Data analytics.

This will enable prediction of signalling asset failures, automated self-correction and informed decisions on intervention strategies, said the official.

The railways have decided that trial is taken up in two sections of Western Railway and South Western Railway at Ahmedabad-Vadodara and Bengaluru-Mysuru.

Depending on the feedback, the system would gradually be extended to other sections. (IANS)

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Microsoft Announces a Business School in Artificial Intelligence

However, very few are using AI across their organisation and identifying business opportunities and problems that AI can address

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Microsoft, Taiwan AI
A man walks past a Microsoft sign set up for the Microsoft BUILD conference at Moscone Center in San Francisco, April 28, 2015. VOA
Microsoft on Monday announced a business school in Artificial Intelligence (AI) that will help companies improve decision-making in integrating AI across their operations.
INSEAD, a graduate business school with campuses in Europe, Asia and the Middle East, partnered with Microsoft to build the AI Business School’s strategy module, which includes case studies about companies across many industries that have successfully transformed their businesses with AI, the company said in a statement.
A series of short introductory videos provide an overview of the AI technologies driving change across industries, but the bulk of the content focuses on managing the impact of AI on company strategy, culture and responsibility, the company said in a statement.
Microsoft
Logo of Microsoft outside it’s office. Pixabay
“There is a gap between what people want to do and the reality of what is going on in their organisations today, and the reality of whether their organisation is ready,” said Mitra Azizirad, Corporate Vice President for AI marketing at Microsoft in Redmond, Washington.
“This school is a deep dive into how you develop a strategy and identify blockers before they happen in the implementation of AI in your organisation,” she added.
According to Nick McQuire, analyst with market research firm CCS Insight, more than 50 per cent of the companies his firm has surveyed are already either researching, trialling or implementing specific projects with AI and machine learning.
However, very few are using AI across their organisation and identifying business opportunities and problems that AI can address, he added. (IANS)