Projects
Machine Learning (ML) and Deep Learning are subsets of artificial intelligence
Project Description
Machine learning involves the usage of complex algorithms that automatically learn and refine the learning from a vast amount of data and data patterns. The performance of these systems plateau after an extended period of training.
Deep learning, on the other hand, is a subset of machine learning. Large neural networks (complex algorithms with brain-like functions) are constructed and trained with a huge amount of data continuously. The performance of these networks improves as the training increases. This results in the development of machines that can predict outcomes through deductive reasoning and logic.
We assist customers in identifying AI opportunities for improved efficiency of operations. Our decade long expertise in AI and ML software development can be leveraged to build intelligent systems that effectively automate tedious or repetitive tasks. Deep learning, on the other hand, is a subset of machine learning . Large neural networks (complex algorithms with brain-like functions) are constructed and trained with a huge amount of data continuously. The performance of these networks improves as the training increases.
test
Project Description
testGoal
The goal of the field is to achieve human and super-human abilities in machines that can help us in every-day lives. Autonomous vehicles, smart homes, artificial assistants, security cameras are a first target.
Solution Statement
"But this is not artificial intelligence, which requires acting in the real world often learning without supervision and from experiences never seen before, often combining previous knowledge in disparate circumstances to solve the current challenge."
Technology Stacks
- Natural Language Generation
- Speech Recognition
- Virtual Agents
- Decision Management
- AI Optimized Hardware
- Bio-metrics
- Text Analytics and Natural Language Processing (NLP)
Screenshots
Demo Video
how machine learning is
evolving into AI