Brief Overview of Artificial Intelligence (AI)
Introduction to AI -
Artificial Intelligence, also known as (AI) is a branch of computer science and tech, where a combination of different technologies and processes are working together in harmony to make machines make sense in mimicking how machines to sense, problem-solve, act and learn with human-like levels of intelligence.
Where is AI used -
AI is used in our everyday life around us and AI for beginners can be classified into two types -
- General (Software-based) AI — Examples like Alexa, Siri, Google searches, Amazon shopping recommendations, Smart home appliances, etc.
- Embodied (Hardware-based) AI — Examples like drones, robots, machinery, driverless cars, etc.
How is AI used -
Artificial Intelligence is used in many different ways around us in our day to day lives. The foundation of AI is through these basic principles of learning, theories and methodologies that are -
- Machine Learning
- Neural Network
- Deep Learning
- Cognitive Computing
- Computer Vision
- Natural Language Processing (NLP)
A combination of these principles leads to AI being used in software, products and services around us.
The technologies that support and enable AI to make it a viable option to be considered are -
- Graphic Processing Units (GPU)
- The Internet of Things (IoT)
- Advanced Algorithms
- Application Programming Interfaces (API)
History of Artificial Intelligence (AI) -
Artificial Intelligence has made major strides over the years. It all started after World War 2 when mathematician Alan Turing simply asked the question — “can machines think?”
Turing’s paper “Computing Machinery and Intelligence” (1950) laid the foundation of AI and proved its vision and fundamental goal.
During the ’50s a lot of new terms were being coined and the foundation was being laid for the future of AI, the scientist Mccarthy decided that the benchmark for programming for AI should be this platform he built called — Lisp. The basic groundwork started for AI by many scientists across the globe. Samuel was the first one to coin the term “machine learning” in the late ‘50s.
In 1961, the first piece of hardware with a hint of AI was placed at the General Motors factory that would do tasks such as transporting die castings which would be deemed dangerous for factory workers. The first programmes to help people to solve complex algebra and calculus were programmed in the ’60s. The foundation of the first virtual assistant was formed in the ’60s. Soon the trend caught on to pop cultures, where movies and tv shows depicted robots and helpers who were electronic.
It was a developmental period for AI and tech until Mercedes Benz made a driverless car in ’86 that could drive up to 55 miles per hour without human supervision and no obstacles.
In ’97, IBM’s AI project Deep Blue beat a Russian Chess Champion.
Early 2010 onwards the field of AI went into a boom developmentally and financially with funding and interest from all over the globe. Google launched a self-driving car that actually passed a driving test. Apple released Siri, a virtual assistant for the first time on a product with mass numbers and outside of military or scientific use. Microsoft and XBOX launched Kinect which was the first console/machine that could track human movement through a camera and infrared detection. Amazon released Alexa, Microsoft released Cortana, Google created their range of smart home products such as Google Home which are widely used and popular among the masses now. Samsung created Bixby. Alibaba was the first company to test it directly against human competition, the AI outscored its human counterparts. AI across the years has been a mix of development in software, hardware and language processing tasks because of the rise in virtual assistants and smart home products.
Benefits of AI -
The main benefits of AI are -
- Automation processes
- Research and breaking down data through analysis in a quicker manner
- Since it’s run with code and everything is automated and accounted for in terms of action there’s a lesser margin for error
- Medical advancements and the recent boom of surgeries performed by robotic equipment
- AI is available 24/7!
- AI is a work-horse that can handle big amounts of data to process and AI learns over time that can figure out irregularities in patterns that can be a boost in the cybersecurity and the banking sector.
Drawbacks/Cons of AI -
- Expensive to maintain, not a cost-effective solution
- Expensive to develop and build and the developmental stage is time-consuming
- Maintenance and upkeep is costly in case of outages and errors
- No element of creativity and impromptu solution finding skills like humans
- Fear of unemployment by assigning tasks to AI solutions
Future of AI -
With Artificial Intelligence making progress leaps and bounds. The future of AI is an exciting prospect and an interesting phase with the resources at our disposal.
AI is making progress and making its presence felt in all sectors. Right from Healthcare, Transportation, Education, Customer Service, Media, etc. We have already seen a rise in chatbots and virtual assistants and we’re going to see this number increase in the future as all our processes and products on a daily basis that we use get automated and in sync with technology.
AI will drive and lead a vast number of efficient solutions across industries but it’ll have its roadblocks. The future will lead to AI getting into automated machine learning, driverless cars and natural language processing tools. The drawbacks will need to be looked at by industry experts in order to grow AI with a conscience, ethically and in harmony with current times.