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Benefits of Driverless Cars
The scenarios to improve comfort and quality of life are limitless. The elderly and the physically disabled would be
independent. Other benefits include:
• Reduction of traffic congestion (30% fewer vehicles on the road)
• Reduce transportation costs by 40% (in terms of vehicles, fuel, and infrastructure)
• Free up parking lots for other uses (markets, parks)
• Reduce CO emissions by 80% worldwide
2
Reboot
1. Name any two areas where Computer Vision is effective.
2. Price forecasting uses machine learning. (Fill in the blank)
3. List one advantage of AI based weather forecasting model.
4. Name the tools used by computer vision in an autonomous car to perceive its surroundings.
5. The weather forecasting programs run on supercomputers, so they do not require huge computing
power. (State True or False)
Characteristics and Types of AI
Artificial intelligence is autonomous and can make independent decisions. It does not require any input, intervention,
or human intervention and works in the background without the knowledge of the user. These systems do not depend
on human programming, but rather learn on their own through the experience of data. Some of its characteristics are:
• Has the ability to predict and adapt: its ability to understand data patterns is used to make future decisions
and predictions.
• Continuously learns: learns from data patterns.
• AI is reactive: it perceives a problem and acts according to the perception.
• AI’s cutting: edge technology will be used in many other areas in the future.
Many applications and tools are using AI, that has a direct impact on our day-to-day life. So, we need to understand the
kind of systems that can be developed using AI.
Data Driven AI
Every AI system we know is a data-driven AI system. So what is data-driven AI?
Due to the availability of cheap data storage (hard disk, etc.), fast processors (CPU, GPU or TPU) and the development
of sophisticated deep learning algorithms, it is now possible to extract enormous value from the data. This has led to
the emergence of data dominant AI systems. Such AI systems can very effectively predict what will happen based on
what they have experienced so far. Data-driven AI systems, train with large datasets, before making any predictions or
decisions. However, the success of such systems largely depends on the availability of large, well-labelled data sets.
AI Applications and Methodologies 145

