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Faridabad Surroundings

COMITCon 2019 welcomes you to Faridabad. The home of the Manav Rachna Vidyantariksha (Knowledge Universe).

Faridabad is located in the north Indian state of Haryana in Faridabad district. It is a leading industrial centre and situated in the National Capital Region bordering the Indian capital New Delhi. Located 284 km south of the state capital Chandigarh, it is the most populous city in the state of Haryana. The river Yamuna forms the eastern district boundary with Uttar Pradesh. Government of India included it the second list of Smart Cities Mission on 24 May 2016.

The Delhi Metro Violet Line connects Faridabad with Delhi. There are 9 metro stations in the Faridabad corridor of Delhi Metro which are all elevated. Currently the Faridabad corridor of Delhi Metro Violet Line is the longest metro corridor in the National Capital Region (NCR) consisting of 9 stations and the total length of corridor being 14 km.

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Delhi Metro Violet Line. Source: Indian Express

 

Faridabad is the industrial capital of Haryana. As of 2013, out of total 11,665 registered working factories in Haryana, 2,499 were in Faridabad which was followed by Gurgaon with 2,116 factories. Faridabad is home to large-scale companies like India Yamaha Motor Pvt. Ltd., Havells India Limited, JCB India Limited, Indian Oil (R&D), Larsen & Toubro (L&T), Agri Machinery Group (Escorts Limited), Whirlpool India Ltd., ABB Group, Goodyear India Ltd., Bata India Ltd and Eicher Tractor Ltd.

 

Surajkund Tourist Complex and International Crafts Fair

Surajkund (सुरजकुण्ड) is an ancient reservoir dating back to the 10th century located in Faridabad situated less than 5 km away from the Manav Rachna campus. Surajkund (literal meaning is ‘Lake of the Sun’) is an artificial Kund (‘Kund’ means “lake” or reservoir) built in the backdrop of the Aravalli hills with an amphitheater shaped embankment constructed in semicircular form. It is said to have been built by the king Suraj Pal of the Tomar dynasty in the 10th century.

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Surajkund Artificial Lake (10th Century), Faridabad, Haryana

The place is known the Surajkund International Crafts Mela, the annual crafts fair. The 2015 edition of fair was visited by 1.2 million visitors including 160,000 from outside India with more than 20 countries participating in the fair.

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Surajkund International Crafts Fair, Faridabad

 


Source: Wikipedia, the Free Encyclopedia, https://en.wikipedia.org/wiki/Faridabad

Focus Areas

Machine Learning, Big Data, Cloud and Parallel Computing

Arthur Samuel, an American pioneer in the field of computer gaming and artificial intelligence, coined the term “Machine Learning” in 1959 while at IBM. Evolved from the study of pattern recognition and computational learning theory in artificial intelligence, machine learning explores the study and construction of algorithms that can learn from and make predictions on data – such algorithms overcome following strictly static program instructions by making data-driven predictions or decisions, through building a model from sample inputs. Machine learning is employed in a range of computing tasks where designing and programming explicit algorithms with good performance is difficult or infeasible; example applications include email filtering, detection of network intruders or malicious insiders working towards a data breach, optical character recognition (OCR), learning to rank, and computer vision.

Big data is a term for data sets that are so large or complex that traditional data processing application software is inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating and information privacy.

Cloud computing is an information technology (IT) paradigm, a model for enabling ubiquitous access to shared pools of configurable resources (such as computer networks, servers, storage, applications and services), which can be rapidly provisioned with minimal management effort, often over the Internet. Cloud computing allows users and enterprises with various computing capabilities to store and process data either in a privately-owned cloud, or on a third-party server located in a data center, thus making data-accessing mechanisms more efficient and reliable. Cloud computing relies on sharing of resources to achieve coherence and economy of scale, similar to a utility.

Parallel computing is a type of computation in which many calculations or the execution of processes are carried out simultaneously. Large problems can often be divided into smaller ones, which can then be solved at the same time. There are several different forms of parallel computing: bit-level, instruction-level, data, and task parallelism. Parallelism has been employed for many years, mainly in high-performance computing, but interest in it has grown lately due to the physical constraints preventing frequency scaling. As power consumption (and consequently heat generation) by computers has become a concern in recent years, parallel computing has become the dominant paradigm in computer architecture, mainly in the form of multi-core processors.


Source: Wikipedia, the Free Encyclopedia, https://en.wikipedia.org/wiki/Cloud_computing