Usage of AI-ML Lab:

Today’s college and university students are increasingly tech-savvy, bringing agrowing number and variety of personal devices with them to campuses. They also bring expectations of using those devices to support their classwork, with access to the same caliber of tools and graphics-intensive applications as they experience personally, day to day.

Educational institutions struggle to keep up with the ever-changing technologyneeds. They want to offer new ways of learning. Special software and hardware requirements bring students into computer labs to complete their work, adding challenges of scheduling, capacity, and maintenance.

These issues, plus the growing interest in remote access options, are causing educational institutions to look for technology solutions that are outside the traditional classroom and computer labs.

AIOTF Offers a collaborative solution to this need and has successfully setup a AIML LAB at AIOTF.

To be able to initiate common sense, reasoning and problem-solving power, AI needs knowledge engineering – which provides data about objects, categories,properties etc.

Artificial intelligence (AI) is enabling machines and systems to simulate humancognitive functions based on computer science, mathematics, psychology, and neuroscience. Every industry, ranging from health to fitness to media to dating apps to finance, have all adopted AI in some capacity to optimize and automate their processes.

The AI revolution is just getting started and promises to permeate every aspect of human life. But it also poses urgent challenges that cut across firms, developers, government, and workers. Both existing and future workforces will need to be re-skilled to bring out the greatest innovations using AI. This needs to be done quickly to keep up with the AI revolution that’s reaching unprecedented levels of adoption.

Application of Artificial Intelligence and Data Science AI solutions in many application areas have now increased the acceptance and very high expectations associated with it. AI can be applied in any domain where it can be trained through the vast amounts of content, able to automatically adapt and learn from its mistakes and failures. Repetitive routine actions that requires large Amount of data or knowledge have the highest potential to benefit from AI system. High adoption segments that are currently are getting exponentially accelerated include:

Other Areas: Public Cloud, Internet, Image Classification, Speech Recognition, Language Translation, Sentiment Analysis, Question Answering,Recommendations