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Artificial Intelligence Day, Delhi 2018
What is AI (Artificial Intelligence)? Artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. Artificial intelligence makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Most AI examples that you hear about today – from chess-playing computers to self-driving cars – rely heavily on deep learning and natural language processing. Using these technologies, computers can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data. How does Artificial Intelligence work? AI works by combining large amounts of data with fast, iterative processing and intelligent algorithms, allowing the software to learn automatically from patterns or features in the data. AI is a broad field of study that includes many theories, methods and technologies, as well as the following major subfields: Machine learning automates analytical model building. It uses methods from neural networks, statistics, operations research and physics to find hidden insights in data without explicitly being programmed for where to look or what to conclude. A neural network is a type of machine learning that is made up of interconnected units (like neurons) that processes information by responding to external inputs, relaying information between each unit. The process requires multiple passes at the data to find connections and derive meaning from undefined data. Deep learning uses huge neural networks with many layers of processing units, taking advantage of advances in computing power and improved training techniques to learn complex patterns in large amounts of data. Common applications include image and speech recognition. Cognitive computing is a subfield of AI that strives for a natural, human-like interaction with machines. Using AI and cognitive computing, the ultimate goal is for a machine to simulate human processes through the ability to interpret images and speech – and then speak coherently in response. Computer vision relies on pattern recognition and deep learning to recognize what’s in a picture or video. When machines can process, analyze and understand images, they can capture images or videos in real time and interpret their surroundings. Natural language processing (NLP) is the ability of computers to analyze, understand and generate human language, including speech. The next stage of NLP is natural language interaction, which allows humans to communicate with computers using normal, everyday language to perform tasks. What is AI Day 2018? AI Day gives you exposure of the most exciting field of Artificial Intelligence and related fields like Machine Learning, Deep Learning, NLP, NLG, Computer Vision, Robotics, conversational IA, Data Science etc. AI Day focuses on technical and practical verticals of Artificial Intelligence and its use cases based on AI. Get a chance to hear from the experts sharing their knowledge and the work they are doing in this field. Not only this, you will get to meet Lynx Humanoid powered by AWS Alexa. Aegis School of Data Science believes that the outcome of any conference is based on its learning and experience for the delegates. There is already vast content accessible in the open world and we believe there is a need for the event where the participants can get more information on AI from the leaders. Registration Fees : Rs. 550/- (includes lunch and refreshments) Date : 29th September 2018 Time : 10AM - 5PM Venue : Bharati Vidyapeeth's Institute of Computers Applications and Management. Address : BVICAM, A-4, Paschim Vihar, Opp. Paschim Vihar (East) Metro Station, Rohtak Road, New Delhi, Delhi[masked]

Bharati Vidyapeeth's Institute of Computer Applications and Management (BVICAM)

A-4, Paschim Vihar, Opp. Paschim Vihar (East) Metro Station, Rohtak Road. · New Delhi

₹550.00
Respond by: 9/28/2018

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    What we're about

    Aegis-IBM Data Science, Big Data, Analytics, AI, Machine Learning, Deep Learning meet up group is formed to help you cut the cluster and to get the 10,000 feet overview at the same time take you deeper into these areas. This platform is created for following objectives:

    • Understand these technologies at conceptual level

    • Use cases

    • Provide hands on

    • how to launch your career in these fields

    • job trends

    • skills needed to launch your career

    • networking with practitioners

    • networking with prospective recruiters

    • This group will help you to get insight on various open source and IBM tools, s/w, technologies like: R, Python, SAS, Hadoop, Spark, EC2, AI, Machine Learning, Deep Learning, Tensor Flow, Elastic search, Microsoft azure ML, Amazon ML, Weka, IBM Watson Analytics, Watson ML, IBM Cognos TM1, IBM Cognos Insight, IBM InfoSphere Big Insight, SPSS, IBM Worklight, IBM BlueMix, etc

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