Artificial Intelligence & Data Science
In the current scenario, we have a huge demand of greater strides in computer processing and deep learning algorithms. Actually, learning of machines through experiences, adjusting to new inputs and performing human- like task is all possible due to Artificial Intelligence (AI). In daily life, we see numerous examples, starting from chess playing computers to self-driving cars; rely heavily on deep learning and natural language processing. With the use of these technologies, computers can be trained to achieve particular tasks by processing large amounts of data and recognizing patterns in the data.
From financial services to manufacturing, healthcare and the public sector, the adoption of AI is pervasive with promise for powerful capabilities beyond anyone imagination. Also, by using the deep learning software algorithms take in a large sum of data and eventually extract insights from the patterns that were created from the data. The data can include a variety of things, including videos, customer data, images, and more. All of this data can be obtained if the data has been structured in the proper form.
One of the major advantage of using the deep learning is that it does not depend on sequential algorithms to instruct it on how to find a conclusion. By, this we can achieve the same performance as the human beings, in every related task.
Now, the question arises that is there any degree of alarm when it comes to Artificial Intelligence? Although we do have several aids of AI implementation, following are the several points by which we are afraid of.
- The major concern is that when the machines will learn automatically and will function without the human intervention, the world may lack humanity, but the truth is that with the use of Artificial Intelligence, the tasks would be more accurately completed, for e.g., a driverless car.
- The second concern is that these machines may take away jobs, leaving the mass of population unemployed. However, this is true to some extent, but we must not forget that Using AI in ways that can make people more successful and boost customer satisfaction is what we call “human-centred AI”. This puts employees and customers first, ahead of technology that supports them.
- The third major concern is Digital Ethics. We are afraid that after executing the learning algorithms for a longer period, it may become very complex due to self-learning mechanisms, hence difficult to understand. But the reality is that when we combine the inherent opacity of the algorithm with datasets that may be limited or not representative, or including real-world biases that are not desirable, then sometimes scenarios are presented where the AI decision may be discriminative and undesirable.
In AI, data to pattern match is the crucial factor as it takes the real world examples and experiences and cognitively recognise tasks to yield a prediction. The prominence is to ensure that there is the fairness in AI and an ethical dimension in decision making that AI supports.
AI advances are even quicker and dramatic than anticipated. Study Engineering in Artificial Intelligence and Machine Learning from one of the Top MAMCET College in Trichy and have knowledge of one of the fastest growing technology.
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To be a school of excellence to produce empowered professionals and trend setters for next generation IT Industry
1. To provide solid foundation in fundamentals of mathematics, modern computing and engineering and develop critical thinking, dynamism and innovation to meet the needs of the industry and society.
2. To collaborate in interdisciplinary projects with academia and industry through state of art facilities.
3. To inculcatelifelong learning, professional behaviour, ethical values, innovative research capabilities and leadership abilities
Program Educational Outcomes
PEO 1: Be an expert in providing technical feasible solutionsthrough Artificial Intelligence for complex real-life problems in industry and society.
PEO 2: Emerge as an innovator, researcher, developer, by engaging in lifelong learningand adapting to challenging environment in the IT industry.
PEO 3: Exhibit entrepreneurship skill, leadership qualities, and professional ethics to start new ventures.
a. Create, select, and apply appropriate techniques, resources,and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
b. Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
Program Specific Outcomes
PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO2: Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
PO3: Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
PO5: Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
PO6: The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
PO7: Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10: Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
PO11: Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
PO12: Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.