Eviden sets the stage for AtLaS, the European Defence Fund challenge on Human Language Technology processing

This requires extensive knowledge about the languages and the ability to interpret it. NLP certainly provides useful functionalities such as part of speech tagging, lemmatization, phrase extraction, text categorization, entity extraction, topic extraction and parsing. AtLaS aims to evaluate the automatic language processing (ALP) solutions provided by various European partners in the defense sector. It addresses the specific constraints of these solutions’ operational frameworks, such as processing different dialects and languages in degraded and varied contexts including noisy environments, theaters of operation, and communications.

Toward a Viksit Bharat Through Open Innovation

This draws on best NLP practice to focus on a leaderís role to motivate and empower their business and the business community. Over a period of three days delegates will develop a 30-day leadership plan based on their own and organisationís needs. Time will be given to explore vision, values, frameworks, and scenarios with practical solutions in a dedicated environment. Time frames, opportunities and challenges will also be considered.Inspired Leaders need an ever increasing range of skills and attitudes to maintain control over todayís business environment. Itís essential to master themselves, their teams, their stakeholders and at times their industry. 2005 and ensuing years will provide greater challenges and opportunities than in previous times and many tried and tested ideas may be outdated or irrelevant.

A Step Toward Digital Governance and Data Sovereignty

This project, one of the four selected projects, is launched and financed by the European Defence Fund. Eviden will also supply BARTENDER, its own innovative software which enables natural language processing in hundreds of languages. NitiAyog in its #AIforall program is committed to leverage AI for economic growth and social development.

• The AtLaS project focuses on advancing Human Language Technology (HLT) in defense, by combining artificial intelligence (AI) and Natural Language Processing (NLP) to handle low-quality and multilingual data.
• This is done via something called Backpropagation inside of a larger process called Gradient descent which lets you change the parameters in a way that improves your model.
• AtLaS aims to evaluate the automatic language processing (ALP) solutions provided by various European partners in the defense sector.
• Time frames, opportunities and challenges will also be considered.Inspired Leaders need an ever increasing range of skills and attitudes to maintain control over todayís business environment.

Revolutionary solutions may be essential.The Master Class is run for accomplished leaders, interested in reviewing their own skill set and objectives, as well as for those who have been thrust into a leadership role seeking a wider picture. The objective is to enable participants to make a significant step change in leadership performance based on their individual style within the context of their current or future leadership role.Neuro Linguistic Programming was introduced as a tool for personal development 30 years ago. It is continually assessing and developing frameworks for understanding attitudes, it models successful performers and provides techniques for improving thought processes and communications skills. Further master-class seminars in leadership, sales, change management, presenting impact and hypnotic influence can lead to Master Practitioner accreditation.

Add to that, documents such as legal contracts, news articles, research reports etc. which often use domain-specific discourse models, which also need to be incorporated into an NLP algorithm to enhance its performance. Bain & Company’s extensive report, ‘Unlocking Digital for Bharat’ estimates India to have 390 million internet users today with one in five owning a smartphone. But it also recognizes the need to create solutions based on local needs and behavior as critical to improving user engagement. With online users skewed towards a young, male, urban demographic there are large parts of the population still untouched by online access.

• Itís essential to master themselves, their teams, their stakeholders and at times their industry.
• Unfortunately, the size of data sets available for most Indian languages are small compared to those available for major Western languages.
• Over a period of three days delegates will develop a 30-day leadership plan based on their own and organisationís needs.

It is therefore hard for machines to understand human language as it is accompanied by nuances and meanings that depend on context and non-explicit information. Indic languages do not use Latin alphabets but alphabets derived from Brahmic scripts. Dr. Saurabh Garg reiterated that the selected problem statements align with MoSPI’s vision for future-ready statistical systems.

The initiative marks a major milestone in the celebration of 75 years of the National Sample Survey (NSS) and is organized under MoSPI’s Data Innovation Lab (DI Lab)—a pioneering unit aimed at incubating technological advancement in India’s statistical systems. Based on a recent survey – how chatbots are reshaping online experience – the benefit of bots that consumers pointed to was the ability to get 24-hour service (64%), followed by getting instant responses to inquiries (55%), and getting answers to simple questions (55%). “The Statathon is not just a competition—it is a gateway for young minds to become co-creators of India’s data future,” said Dr. Garg.

What Are The Differences Between AI, Machine Learning, NLP, And Deep Learning?

We can certainly expect to see NLP-driven conversational bots in the future, reaching all corners of India and its diverse languages. Most NLP algorithms need sufficiently large collections of text with all possible permutations and combinations of meaning put into it. Discovering these word-based patterns reveal the intelligence in the text, giving better NLP performance.