Demystifying Artificial Intelligence and Machine Learning

Artificial intelligence and machine learning are two of the most frequently used tech terms in recent years. According to a study by Pearson and ServiceNow, automation and AI will create more than 4.7 million new jobs and necessitate the upskilling and reskilling of 16.2 million employees by 2027. The report further said India is the home to over 70 generative AI startups.

The trends suggest it's an opportune time to pursue a career in AI and ML. Also, budding entrepreneurs can explore business opportunities in generative AI, automation and other tech of Industry 4.0 or, if we can say, Industry 5.0, where human-machine interaction will be the key factor for innovative solutions for efficient operations, communications and production.

If you want to pursue a career in AI or be the next technopreneur, studying at one of the top engineering colleges in India is essential. Leading engineering colleges provide suitable infrastructure, education resources, vibrant and diverse campus environments, subject-matter expert faculty, experiential learning, labs, and much more that groom the best of your engineering skills. We suggest exploring Manipal University Jaipur for BTech Computer Science Engineering (Artificial Intelligence and Machine Learning). Keep scrolling to learn more.

Before moving ahead and pursuing a specialisation in AI and ML, let's first explore the details of artificial intelligence and machine learning and sort out your concepts.

What is Artificial Intelligence?

John McCarthy, an emeritus Stanford Professor, coined the term artificial intelligence in the 1950s. In his words, "AI is the science and engineering of making intelligent machines."

Artificial Intelligence is a set of computing systems that perform tasks and prompts usually considered within human intelligence. These software-driven AI systems incorporate big data and data analytics to take actionable decisions. These data-based decisions approximate cognitive functions, including learning and problem-solving.

Over the decades, the concept of AI has evolved significantly and has become an essential tool for orchestrating technological transformations across organisations (public and private).

Artificial Intelligence and Its Subsets

Machine Learning: Predictive Analytics and Deep Learning
Speech: Text to Speech and Speech to Text
Vision: Machine Vision, Image Recognition
Natural Language Processing (NLP): Data Extraction, Classification, and Translation
Expert Systems
Planning and Optimisation
Robotics

Forms of Artificial Intelligence

With widespread applications across industries and research worldwide, the domain of AI has evolved to a great extent. This has become an umbrella term which encompasses the following forms.

Manipal University, Jaipur, one of the best engineering colleges in India, offers world-class labs where students practise, develop unique perspectives, learn from their practical applications and more.

General AI

Computer systems with General AI learn from the world around them and apply data cross-domain. For example, DeepMind, an AI platform now owned by Google, use a neural network to learn and play video games similar to humans.

Natural Language Processing

NLP enables machines to read, understand, and analyse human language. NLP applies semantic programming and statistical methods to understand syntax and grammar, and advanced systems can also recognise the emotions of the people interacting with or writing.

Examples of NLP;

Smart Assistants (Alexa, Siri)
Email Filters (Primary, Social, Promotions in Gmail)
Predictive Texts
Search Results
Language Translation
Digital Phone Calls
Text Analytics
Data Analytics

Machine Perception

Over the years, we have seen tremendous developments in sensors with cameras, accelerometers, radar, GPS, microphones, etc. This new-age tech has powered machine perception, encompassing computer vision and speech recognition for objects and facial recognition.

Robotics

Robotics has several applications across industries, including hospitals, e-commerce companies, courier services, manufacturing plants, etc. Drones are also using AI tech and have been used for defence and commercial purposes. Robotics and drones require complex programming and sophisticated mapping to navigate and perform tasks.

Social Intelligence

Robots, digital assistants (Siri, Alexa) and autonomous vehicles need coordination and orchestration. These AI systems must understand social and human behaviour to predict and serve better.

Methods of Artificial Intelligence

Here are vital methods to conceive, design and build an AI ecosystem. These include;

Machine Learning

Machine Learning uses algorithms and statistical methods to discover patterns and "train" AI systems for decisions or predictions without explicit programming. The process may include supervised and semi-supervised machine learning (labels and classifications) and unsupervised machine learning (using only data inputs and no human-applied tags)

Bayesian Networks

This AI method is based on probabilistic graphical approaches that use random variables and conditional independence to understand better and act on the relationships between things like a light switch turning on, drug and side effects or darkness.

Deep Learning

This AI method is based on artificial neural networks (ANNs) to approximate the human brain's neural pathways. Organisations use deep learning to develop speech recognition systems, video games, medical diagnoses, social network filtering, machine translation, and computer vision.

Genetic Algorithms

Genetic algorithms tap a heuristic method based on the natural selection model. The system applies crossover techniques and mutation models to solve complex biological challenges.

Top universities of Rajasthan, like Manipal University Jaipur, provide detailed modules on AI and ML with BTech CSE. You can learn from the best and pursue lucrative career options.

Are Machine Learning and Artificial Intelligence the Same?

Expert and experienced faculty at Manipal University Jaipur clear all the crucial concepts with real-life examples that leave imprints on your mind forever. Let's explore how AI and ML are related or if they are similar.

Artificial Intelligence is an umbrella term, and Machine Learning is a subset. ML applies algorithms to study data and execute tasks. AI is computer software that can learn and mimic human cognition.

Career Prospects of AI and ML

AI and ML specialisation from one of the top engineering colleges in India opens several career options. Some of the top careers in 2023 for AI and ML experts are Machine Learning Engineer, AI Research Scientist, Robotics Engineer, UX Designer, AI Ethicist, Business Intelligence Developer, Data Scientist and more.

Now that you know all about AI and ML, it's time to enrol at Manipal University, Jaipur, the best university in Rajasthan, and wing your dream with specialisation in AI and ML.