Why AI Has Become The Key To Innovation Today.

The term artificial intelligence was first coined by John McCarthy in 1956 when he held the first academic conference on the subject. But the journey to understand if machines can truly think began much before that. No one can refute a computer’s ability to process logic. But for many, it is unknown if a machine can think. The precise definition of think is important because there has been some strong opposition as to whether or not this notion is even possible. Artificial Intelligence (AI) has been studied for decades and is still one of the most elusive subjects in Computer Science. It has applications in nearly every way we use computers in society. It is just like understanding how human brain works.

“Artificial intelligence is a field of study that gives machine the ability to learn without being explicitly programmed”

— Arthur Samuel (Computer scientist)

“AI is the new Electricity. Electricity had once transformed countless industries: Transportation, Manufacturing, Healthcare, Communications and More. AI will now bring about an equally big transformation.”


Research In AI:

In today’s day, AI research is constant and continues to grow. Over the last five years, AI research has grown by 12.9% annually worldwide, according to technology writer Alice Bonasio. Within the next four years, China is predicted to become the biggest global source of artificial intelligence, taking over the United States’ second lead in 2004 — and it is quickly closing in on Europe’s number one spot. Europe is the largest and most diverse region with high levels of international collaboration within the field of artificial intelligence research. After China and the United States, India is the third-largest country in terms of AI research output.


When it comes to specifics, there are seven distinct research areas with limitations on AI ethics research.
· Search and Optimization
· Fuzzy Systems
· Natural Language Processing and Knowledge Representation
· Computer Vision
· Machine Learning and Probabilistic Reasoning
· Planning and Decision Making
· Neural Networks
Neural networks, machine learning, and probabilistic reasoning and computer vision show the largest volume of research growth.


Future of AI:

It has been said that we are on the cusp of the Fourth Industrial Revolution — a revolution that is completely different than the previous three. From steam and
water power, electricity and assembly lines, and computerization to now challenging the ideas about what it means to be human. According to Forbes, the Fourth Industrial Revolution “describes the exponential changes to the way we live, work and relate to one another due to the adoption of cyber-physical systems, Internet of Things and the Internet of Systems.” Smarter technologies in our factories and workplaces and connected machines that will interact, visualize the entire production chain and make decisions autonomously is just a couple of the ways that the Industrial Revolution will cause advancements in business. One of the greatest promises that the Fourth Industrial Revolution brings is the potential to improve the quality of life for the world’s population and raise income levels. Our workplaces and organizations are becoming “smarter” and more efficient as machines, humans are starting to work together, and we use connected devices to enhance our supply chains and warehouses.


AI In Next 20 Years:
2020–2025
· Between 70% and 90% of all initial customer interactions are likely to be conducted or managed by AI
· Product development in a range of sectors from fashion items and consumer
goods to manufacturing equipment could increasingly be undertaken and tested by AI
· Individuals will be able to define and design the personalized products and services they require in sectors ranging from travel through to banking, savings, and insurance · The technology is likely to be deployed across all government agencies and legal systems — with only the most complex cases requiring a human judge and full court proceedings
· Autonomous vehicles will start appearing in many cities across the world
· Our intelligent assistants could now be managing large parts of our lives from travel planning through to compiling the information we need prior to a meeting.

2026–2035
· Globally approved, smart crypto tokens may be accepted alongside fiat currencies as we edge towards a single global medium of exchange
· Artificial intelligence is likely to have penetrated every commercial sector
· The evolution of AI could see the emergence of a wide range of fully automated DAO businesses including banks, travel agents, and insurance companies
· Scientific breakthroughs could enable us to develop artificial animal and ecosystem intelligence


· The emergence of self-aware and self-replicating software systems and robots.
· There is a reasonable possibility of achieving Artificial General Intelligence
· There is a small chance of creating Artificial Super Intelligence
· The singularity remains an unlikely possibility in this timeframe.


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