Aegis School of Business, Data Science, Cyber Security & Telecommunication
|Start date:||Sep 1, 2018|
|End date:||Sep 1, 2018|
|Event fee:||500 INR|
|Total event fee:||500 INR|
|Registration deadline:||Aug 31, 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?
Aegis School of Data Science believes any conference outcome 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 there leaders.
On AI Day 2018 Aegis School of Data science is launching Lynx which is a humanoid powered by Alexa to know a more lively about application of AI, Machine Learning, Neural network, computer vision NLP etc.
- Meet Lynx Robot powered by Alexa
- Deep Learning for AI
- Conversational AI
- Computer Vision
- Paradigm shift in software development based on development in AI
- Recommender system
- Spark for AI
Registration Fees : Rs. 500/- (includes lunch and refreshments)
Date : 1st September 2018
Time : 10AM - 5PM
Venue : Shah & Anchor Kutchhi Engineering College. Mahavir Education Trust Chowk, W.T Patil Marg, Next To Duke's Company, Chembur, Mumbai, Maharashtra 400088