1. Autonomous Cars :
Deep learning is widely used in driverless cars. Deep learning analyzes the real time data captured by the sensors and cameras so that the car navigates on its own. It prevents untoward events, such as collisions and pedestrian harassment.
2. Natural Language Processing (NLP) :
Deep learning makes the computers to understand and generate human language. Deep learning powers the chat bots. Deep learning makes computers understand the context and intent, summarize text, do question answers, and translations from one language to another.
3. Diagnostics and Imaging :
Deep learning facilitates diagnostics and imaging. Medical practitioners can identify diseases from the images. The computers detect the anomalies in the images. Here algorithms are used. These images could be the X-rays, CT scans or NRI scans. Diseases such as cancer, cardiac conditions and neurological disorders could be easily and precisely diagnosed.
4. E-commerce :
Deep learning is used by e-commerce platforms — customised products could be offered to the customers. There could be precise targeting. Consumer behaviour is better analyzed. The product offerings could be adapted to consumers preferences. It creates a pleasant shopping experience for the consumers.
5. Fraud Detection :
By analyzing financial transactions and detecting unusual patterns, financial frauds can be predicted .
6. Entertainment and Content Creation :
Deep learning is used for creating content and scripts. It also helps in generating music. AI can generate new material.
7. Agriculture :
Agriculture can become smarter and efficient. Drones can be used to monitor crop health. These drones can be AI-assisted. Yields can be increased and wastages reduced.
8. Manufacturing and Quality Control :
Deep learning identifies flaws in the products and helps in maintaining standards. AI-assisted inspections are used. IoT is used to have communications between machines in Industry 4.0. Wastages are reduced. AI is used in production planning and control (PPC)
9. Energy and Power Grid Optimization :
In energy sector, deep learning is used to analyze data captured by sensors to predict energy consumption and optimize distribution.
10. Drug Discovery and Development :
In the field of pharmaceuticals, deep learning speeds up new drug development. Potential molecules are identified by studying their structures. The chemical interactions could be is expedited.