What is Artificial Intelligence (AI)?
- AI refers to machines performing human-like tasks such as learning, reasoning, and decision-making.
- Core components include:
- Machine Learning (ML): Algorithms that improve over time with data.
- Neural Networks: Mimicking the human brain for pattern recognition.
- Natural Language Processing (NLP): Enabling machines to understand and generate human language.
- AI systems process inputs, apply algorithms and deliver intelligent outputs.
Types of Artificial Intelligence:
- Narrow AI: Task-specific systems like virtual assistants (e.g., Alexa, Siri).
- General AI: Mimics human intelligence across diverse tasks (yet to be achieved).
- Super AI: A hypothetical future form surpassing human intelligence.
AI Techniques in Machine Learning:
- Supervised Learning: Uses labelled data to predict outcomes (e.g., facial recognition).
- Unsupervised Learning: Identifies patterns in unlabelled data (e.g., clustering algorithms).
How Does AI Work?
- Data acquisition: Collect and preprocess data.
- Feature extraction: Identify relevant patterns in the data.
- Algorithm selection and training: Use machine learning, deep learning, or rule-based methods to create models.
- Evaluation and deployment: Optimize and deploy models to make intelligent predictions or decisions.
Indian Pharmaceutical Industry’s Growth Potential:
- Current market size: Approximately USD 58 billion, expected to grow to USD 120-130 billion by 2030.
- Global contribution: India contributes about 20% of the global generic drug supply, focusing on affordability and quality.
- Policy support and digital talent: India is leveraging favourable policies, a skilled workforce, and digital innovation to strengthen its global healthcare position.
