Future of AI

In just a few years, Artificial Intelligence has gone from science fiction to reality. The plan for a fascinating plotline was machines that could think like humans. However, it has recently moved from fiction to fact, and we are now living in the Future of Artificial Intelligence. People are utilizing AI technology in their daily lives, and it has been ingrained in their daily routines.

Do you know how? Well, asking Alexa or Siri to tell you the time or having them plan your next meeting in the calendar is what AI is all about.

But how did the evolution of Artificial Intelligence start?

The evolution of Artificial Intelligence wasn’t as smooth and straightforward as it appears.

Let us walk you through the evolution of AI and how it came to be interwoven into our daily lives.

Evolution Of AI

Alan Turing was the one who first proposed the idea of machines that can think like humans. He devised the Turing test, which was used to determine whether machines could think like humans. AI research began in the late 1950s when people began creating devices that could think and act like humans.

AI technology gained momentum when it got acquainted with a series of computers. Before, they used to be massive computers that could calculate at a faster rate. They did, however, update the gadgets to save, retrieve, and analyze data that could help them perform more efficiently.

Stephen Hawking and Elon Musk, among others, have worked on this topic. They’ve come up with some incredible gadgets and even concepts that could save the globe from extinction.

The goal was to create self-recognition devices that could use natural language processing to help people learn better.

The technology was created to allow machines to continue to learn and update themselves based on the data they have access to.
But what does Artificial Intelligence’s future hold? Let’s try to know what’s really going on here:

Next Decade Of Artificial Intelligence

Artificial Intelligence’s future appears to be highly fascinating and adventurous in the coming decade. For starters, you’ll notice a rise in the usage of modern technology in everyday life.

From Ok Google! and SIRI to driverless vehicles, alpha zero, and Sophia, technology is progressing at a breakneck pace these days. In science fiction films, AI is depicted as humanoid robots, but in fact, it includes programs such as alpha zero, which recently defeated all humans in chess and other games.

AI has applications in practically every field, and we’ll talk about the future of AI in each of the key fields.

1. Improved HealthCare

From identifying brain tumors to choosing which cancer treatment is optimal for each individual, artificial intelligence will drive the customized medicine revolution.

In India, not everyone has access to health care facilities. The reason is- shortage of qualified doctors and inadequate infrastructure. Today, if you don’t go to the doctor, AI can diagnose disease based on symptoms by reading data from a fitness band or your medical history.

Analyzing the pattern and suggesting appropriate medication can be delivered right to one’s fingertips via cell phone.

In the healthcare industry, over 86 percent of errors may be avoided, and AI will play a key part in this. The future of AI in healthcare is a step toward democratizing healthcare for the benefit of both patients and healthcare providers, while also lowering costs and improving accuracy through AI-powered predictive treatment. Such intelligent healthcare systems may be able to predict when a person is most likely to develop a chronic condition and provide preventative medication to treat it before it worsens.

2. Reinforcement Learning

Reinforcement learning is a type of algorithm or programming that trains algorithms through the use of a reward and punishment system.

To learn to make a prediction or complete a task, reinforcement learning employs algorithms that do not rely solely on historical data sets.

These algorithms learn through trial and error in the same way that we humans do. Reinforcement learning has gotten a lot of attention for its wide range of applications, including time-series forecasting in highly dynamic settings, handling complicated logistical issues, and making recommendations based on behaviors and preferences, to mention a few.”

3. CyberSecurity

Artificial intelligence combined with human intellect will lead to the creation of advanced cybersecurity advances in the future. It will make it easier to combat cybercrime and cyberattacks.

Cybersecurity breaches totaled roughly 707 million in 2015, with 554 million in the first half of 2016. Companies are battling with hackers so that they can stay one step ahead of them.

AI’s self-learning and automated skills, according to experts, can help consumers protect their data more consistently and affordably, keeping them safe from terrorism or even small-scale identity theft. Before harmful computer viruses and programs can steal vast amounts of data or cause havoc, AI-based techniques hunt for patterns linked with them.

4. Banking & Finance

The global business value of AI in Banking is expected to reach $300 billion by the end of 2030, according to IHS Markit’s AI in Banking research. Artificial Intelligence (AI) is expected to take center stage in the next decade in areas such as corporate intelligence and security, resulting in lower costs, increased productivity, and improved customer experiences.

AI assistants, like chatbots, employ AI to provide individualized financial advice and process data to provide rapid, self-help consumer assistance. As systems become more efficient and intelligent, it is getting easier to detect and stop fraud in the financial sector.

When determining the optimal approach to handle funds, an AI system could consider a large number of variables. It is said to outperform a human supervisor. It could be disastrous for some fund management organizations that cannot afford such facilities and could have a large-scale impact on business because the choice would be made quickly and abruptly. The competition would be fierce and tense at all times.

5. Military

Artificial intelligence has been used by the military for a variety of purposes. Because AI is self-aware, it can be used in hostile settings where sending humans isn’t possible.

Many wealthy countries, including the United States, Russia, China, the United Kingdom, and France, are investing heavily in the development of autonomous weapons systems. Here are a few examples of artificial intelligence in the military:

6. Surveillance on the Battlefield

For a military reaction, having up-to-date knowledge about hostile zones is critical. Due to the significant risk, live updates are not always possible. Drones controlled by artificial intelligence are already in use in developed countries such as the United States and Russia for this purpose. These drones can monitor hotspots and dangerous environments. When they detect an anomaly, they send out an immediate alarm. These drones are also utilized for pre-emptive strikes or first-response missions in some instances.

7. Detection of Intruders

One of the most potential uses of intelligent computing systems is cybersecurity. AI can keep track of the state of a network and all data transactions in real-time.

As a result, AI is ideally suited to detecting and preventing breaches into systems and networks containing sensitive and classified data. With the correct management of AI, very sensitive information and processes, such as nuclear access codes, can be safeguarded.

8. Autonomous Cars

In the near future, self-driving cars may be one of the most significant areas where AI will have a significant impact.

By 2025, the market for AI-driven autonomous vehicles is expected to be worth $127 billion.

AI drivers, unlike humans, never look down at the radio, or squabble with their children in the backseat. Thanks to Tesla, Level 2.0 Autonomy has already been achieved, but watch for them to be ubiquitous by 2030.

Self-driving trains have already taken over the rails in a number of European towns, and Boeing is working on a self-flying airplane.

9. e-Learning

“The level of education received by youngsters determines a country’s progress.”

We’ve all seen the downfall of the education sector during the Covid-19 Pandemic.

Right from underprivileged teens to engineering students faced the dilemma to get educated. Thanks to the digitization of education, AI would now make education completely accessible to the general public.

It has abolished the need for traditional classes and has given birth to Artificial Intelligence Automation. With the help of Artificially Intelligent technologies, the concept of education will be redefined from the comfort of one’s own home, customized according to each student’s needs.

Individuals would now have unprecedented access to the discoveries of the world’s greatest professionals, allowing them to extend their knowledge in unimaginable ways.

10. Automated Manufacturing

Every manufacturer strives to find new and innovative ways to save and earn money, decrease risks, and increase overall production efficiency. This is critical for their survival and a prosperous, long-term future.

Companies that use AI have seen cost reductions and revenue increases, according to McKinsey. 16 percent of those polled reported a 10-19% drop in costs, while 18 percent reported a 6-10% rise in overall revenue.

Increased factory robot utilization and predictive analytics in the sector will improve product quality and streamline logistics and supply chains.

Manufacturers can save countless hours by dramatically lowering false positives and the hours necessary for quality control by imbuing the system with artificial intelligence and self-learning capabilities.

11. Generative Adversarial Networks

Perhaps you’ve heard about AI that can mimic human speech or create photos of individuals that are difficult to differentiate from real-life photographs. generative adversarial networks (GANs) are two-part AI models that consist of a generator that generates samples and a discriminator that tries to distinguish between the generated samples and real-world samples. GANs may do incredible feats of media synthesis, such as writing songs and substituting sheep for giraffes, as well as hallucinating footage of ice skaters and soccer players, thanks to its unique arrangement.

Eyewitnesses or police officers can use this technique to construct an avatar of a criminal by selecting from a list of possibilities.
This is less stressful than traditional sketches, which can be difficult because sketching an image based on simple verbal explanations may not be completely correct.

12. Machines Will Become as Intelligent as Humans

“When Will AI Be Able to Outperform Humans?”

Experts in artificial intelligence estimated that “human-level machine intelligence,” or HLMI, had a 50% probability of emerging within 45 years and a 10% chance of occurring within 9 years, according to “Evidence from AI Experts.” However, anyone who has spoken with Alexa or Cortana (two of the most popular virtual assistants on the market today) might claim that HLMI has already been here.

Machines are already exceeding humans in some fields, according to Eliza Kosoy, a researcher at MIT’s Center for Brains, Minds, and Machines. They can beat us at a variety of strategy games, including chess, Go, and some Atari video games. Machines can even operate on humans and fly planes. Machines have recently begun to drive automobiles and trucks, albeit some of them may have difficulty passing driver’s ed. “With enough data and the suitable machine learning techniques, machines can make life more joyful for humans,” Kosoy says.

13. Entertainment

Netflix, step aside.

In the future, you may be able to rest on your couch while watching a tailored movie with your beloved virtual actors. Smart algorithms will be able to devise the most basic marketing and advertising solutions. By employing predictive analytics and AI, it is feasible to develop all marketing processes a couple of times faster.

AI will be able to predict not just our preferences, but also our mood in the future, and will show material accordingly.
In the future, film companies may be able to avoid flops by analyzing the storyline of a film script via predictive computers, which will forecast its box office potential.

AI to Create Millions of Employment Possibilities

“Artificial Intelligence will steal our jobs!” is the most popular concern about the future of artificial intelligence. With artificial intelligence automating all types of work, we may imagine a more comfortable future for ourselves in which new employees are created rather than being displaced. According to a World Economic Forum research on the Future of Jobs, AI will generate 58 million new artificial intelligence jobs by 2022.

The expansion in the Indian AI industry is fueled by professionals migrating themselves into artificial intelligence engineers via various mentored AI courses.

Artificial Intelligence Myths

1. SuperIntelligence is Impossible by 2100

The truth is that we currently have no way of knowing whether or not superintelligence exists. It could happen in decades, centuries, or never, but nothing is certain. Several surveys have questioned AI researchers how many years they believe it will be before we develop human-scale AI with a 50% chance of achieving it. All of these polls come to the same conclusion: the world’s greatest experts disagree, hence we have no idea.

For example, at the 2015 Puerto Rico AI conference, a survey of AI experts found that the (average) answer was by 2045, however other researchers projected hundreds of years or more.

2. All human jobs will be replaced by AI

It’s undeniable that the rise of AI and automation has the potential to substantially disrupt labor – and is already doing so in many cases. However, viewing this as a simple transfer of labor from humans to machines is greatly exaggerated.

AI has ushered in a change in businesses across the board, and individuals are concerned that as AI advances, they may lose their employment. In actuality, AI has increased the number of jobs and possibilities available to humans in every industry. Every machine necessitates the presence of a human operator. However, while AI has taken over some occupations, it has also increased the number of jobs available to individuals.

3. Super-Intelligent Computers Will Soon Outperform Humans In Any Task

As previously said, AI may be classified into three types: weak AI, which can perform specialized jobs such as weather prediction, and strong AI, which can perform a wide range of tasks. General AI: Capable of completing tasks as well as being a human. Super AI is an AI that is capable of outperforming humans in any task.

At the moment, we’re deploying rudimentary AI that does a single task and improves over time. General AI and Super AI, on the other hand, have not yet been developed, and research is ongoing. They will be capable of doing a variety of activities in a manner similar to human intellect. However, such AI is still a long way off, and developing such applications will take years, if not centuries.

Furthermore, the efficiency of an AI, and whether it will be better than humans, is unknown at this time.

4. Artificial Intelligence Does Not Necessitate Human Intervention

People also believe that AI does not necessitate human intervention. However, AI has not yet progressed to the point where it can make decisions on its own. To pre-process the data, prepare the models, prepare a training dataset, identify and minimize bias and variance, etc., a machine learning engineer/specialist is necessary. Every AI model is still reliant on people. However, once the model is ready, it learns from its mistakes and improves its performance on its own.

How can Artificial Intelligence be risky?

The majority of scientists feel that super AI will never be able to express human emotions like love, hate, or kindness. Furthermore, we should not expect an AI to become benevolent or vengeful on purpose. Furthermore, if we consider AI to be risky, there are primarily two scenarios:

1. Ai Is Programmed To Perform Something Destructive

Autonomous weapons are AI systems that are programmed to kill. These weapons might potentially result in huge casualties if they fall into the wrong hands. Furthermore, an AI arms race could unintentionally lead to an AI war with catastrophic victims. To avoid being unsatisfied with the opponent, these weapons would be engineered to be incredibly difficult to “switch off,” allowing people to lose control in a circumstance like this. This risk exists even with restricted AI, but it increases as AI intelligence and autonomy improve.

2. Mismatches Between Our Aims And Machines

The second concern of AI as a risky technology is that even if intelligent AI is supposed to perform something useful, it can have harmful outcomes.

Let’s say we tell the self-driving automobile to “get us to our destination as soon as feasible.” Our instructions will be instantly followed by the machine. It could be hazardous to human lives unless we clarify that traffic regulations must also be followed and that human life is valued. It may violate traffic laws or cause an accident, which is not exactly what we wanted, but it completed the task at hand. A

s a result, super-intelligent machines can be destructive if they ask to achieve a goal that does not match our standards.

Conclusion

The Future of Artificial Intelligence is on its way — and it’s coming soon! Now is the moment to invest in education and training to prepare for the AI era.