Artificial Intelligence Brainy n Bright
blog

What is AI?

Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction.

From SIRI to self-driving vehicles, AI is advancing quickly. While sci-fi regularly depicts AI as robots with human-like attributes, AI can include anything from Google’s search algorithms to IBM’s Watson to autonomous weapons.


AI in Future:

AI is appropriately known as narrow AI (or weak AI), it is trained to perform one particular task for example facial recognition or self driving cars. However the objective of numerous scientists is to make general AI (AGI or solid AI). While thin AI may outflank people at whatever its particular undertaking is, such as playing chess or comprehending conditions, AGI would beat people at about each subjective errand.

Artificially intelligent systems demonstrate learning, reasoning, problem solving behaviours just like human intelligence. AI automates the learning process and adds intelligence to machines, it can accurately analyse data and by 2022 AI will create 58 Million new jobs.

Education has no boundaries, and AI can assist with dispensing with limits. Innovation brings extreme advances by encouraging the gaining of any course from anyplace over the globe and whenever.

Innovation in AI has become all inescapable and to introduce as a subject CBSE has collaborated Intel, IBM, Microsoft.

AI with Brainy n Bright:

Brainy n Bright online course on AI is built for not only getting familiar with the terminologies of AI but also on identifying different problems which can be solved using AI. We help the professionals learn and earn proper certifications in Artificial Intelligence through the course of the training.
 
Instructive methodology and assignments are customized based on each student's strengths, needs, skills and interests. Learning plans are developed based on what the student knows and how the student learns best and teamwork skills a re-promoted during class projects.

The content is more comprehensible and it is supported with assignments and MCQ tests. The course focuses on developing critical analytical skills which can be used for solving different problem using application of AI.