Will technology replace humans in the future? | CodewithHarsh

Will technology replace humans in the future?

Far And Wide we turn these days we can see robotization technologies replacing humans. It's advancing at a rapid-fire rate, and in the moment’s world, we all know that tech can replace mortal workers. In some places, it can do, an acceptable job but still we need humans. So, CAN TECHNOLOGY REPLACE HUMANS?

The pace of robotization and technology deployment is only anticipated to increase over the coming many times as businesses aim to digitalize their operations.

CAN TECHNOLOGY REPLACE HUMANS?

People are also bothered about their future as they believe that it can replace humans. Though Tech is a commodity that lessens homemade function with further effectiveness and smaller crimes but still when it eliminates certain work it's humans who have thousand of further options and open doors that it indeed doesn’t know exists.

But we can fully deny that because colorful companies are developing their artificial intelligence and robotic moxie with the idea that through these they will be suitable to:-

• Cut cost

• Increase effectiveness

• Offer a new value proposition

• Execute a new business model

 

Artificial intelligence

• Artificial Intelligence( AI), an ultramodern approach, is a new wisdom-making machine that helps machines learn on their own with mortal- suchlike intelligence through a combination of Deep Learning, Machine Learning, and Data Science algorithms.

• Technologies like Neural Networks, Natural Language Processing, Robotics Processing, Cognitive Services, Mixed Reality( AR/ VR), etc. make machines more intelligent. As a result, machine systems make opinions the same way we do in our diurnal lives. This machine decision-making system is fueling debates like Human Intelligence vs Artificial Intelligence!

Artificial Intelligence

• To give you a good perspective about this hotly batted, we will moment bandy the advantages of artificial intelligence, the significance of mortal intelligence, and pitfalls of artificial intelligence to humans and their diurnal lives.

• pictures like Robert Downey Jr.'s Iron Man, Arnold Schwarzenegger's Terminator, Will Smith's Eye of the Smith, Robot, Tom Cruise's Cruise Oblivion, and Age of hereafter educate us that sooner or latterly there will be an increased dependence on people mortal intelligence.

Artificial Intelligence vs Human Intelligence

Nature:-

Whereas Human Intelligence aims to adapt to new environments using a combination of various cognitive processes, Artificial Intelligence aims to create machines that can mimic human behavior and perform human-like actions. The human brain is similar, but machines are digital.

Functioning:-

Humans use the brain's computing power, memory, and thinking ability, while AI-powered machines rely on data and specific instructions fed into systems.

Learning power:-

Human intelligence is all about learning from various events and past experiences. It is about learning from mistakes made through a lifetime trial and error approach. Intelligent thought and intelligent behavior are at the core of human intelligence. However, artificial intelligence lags behind in this matter - machines cannot think.

They can learn from data and through continuous training, but they can never achieve a thought process unique to humans. While AI-powered systems can perform specific tasks quite well, it can take years for them to learn an entirely different type of task for a new application area.

Join AI and ML courses online from top universities in the world to fast-track your career - Masters, Executive Post Graduate Program, and Advanced Certificate Program in ML & AI.

Artificial Intelligence & Human Intelligence

What AI Can't Do Without – The “Human” Factor?

• The Artificial Intelligence vs Human Intelligence debate is not fair. It is believed that while AI has helped develop intelligent machines that can outperform humans in some respects (in the case - AlphaGo and DeepBlue), they still take too long to match the capacity of the human brain. the way is to be determined. Although AI systems are designed and trained to mimic and imitate human behavior, they cannot make rational decisions like humans.

• The decision-making power of AI systems is primarily based on events, the data on which they are trained, and how they relate to a particular event. AI machines cannot understand the concept of "cause and effect" simply because they lack common sense. SQL Services Data Scientist, Nick Burns, puts it quite well: "No matter how good your models are, they are only as good as your data..."

• Human beings have the unique ability to learn and apply their acquired knowledge in a combination of logic, reasoning, and understanding. Real-world scenarios require a holistic, logical, rational,l and emotional approach that is typical of humans.

Artificial Intelligence vs Human Intelligence: What Will Happen in the Future?

Right now, AI is still evolving and moving forward. The time required to train an AI system is quite high, which is not possible without human intervention. Be it autonomous cars and robots, or sophisticated technologies like natural language processing and image processing, they all rely on human intelligence.

At present, automation is the leading AI application that is rapidly entering the industry. In a 2018 WEF report, the Swiss think tank predicted that AI would displace 75 million jobs globally while also creating 133 million new jobs by 2022. The new job profile will require data science-specific skills such as maths and statistics and knowledge of ML algorithms, proficiency in programming, data mining, data wrangling, software engineering, and data visualization.

Today, companies using Big Data and Data Science techniques have skilled experts like ML Engineers, Data Scientists, Data Engineers, etc., who know the nuances of AI/ML. It is the domain knowledge and multifaceted skills of experts that create value from Big Data.

Artificial Intelligence

HELPING HUMANS

So AI and humans can evolve together in the coming future. Humans will train machines and machines will help humans. By working together they can ameliorate day-to-day productivity, enhance data analytics, and can also ameliorate decision timber.

Technology Helping Humans

Helping Humans

So it would be better than technology and humans can work together rather than replacing.