Artificial Intelligence – The Future of Technology
“Everything we love about civilization is a product of intelligence, so amplifying our human intelligence with artificial intelligence has the potential of helping civilization flourish like never before – as long as we manage to keep the technology beneficial. “
Artificial intelligence (AI) is progressing rapidly. While science fiction often portrays AI as robots with human-like characteristics, AI can encompass anything from Google’s search algorithms to IBM’s Watson to autonomous weapons.
Artificial intelligence today is properly known as narrow AI or weak AI, in that it is designed to perform a narrow task (e.g. only facial recognition or only internet searches or only driving a car). However, the long-term goal of many researchers is to create General AI or Strong AI. While narrow AI may outperform humans at whatever its specific task is, like playing chess or solving equations, AGI would outperform humans at nearly every cognitive task.
Technology moves at breakneck speed, and we now have more power in our pockets than we had in our homes in the 1990s. Artificial intelligence (AI) has been a fascinating concept of science fiction for decades, but many researchers think we’re finally getting close to making AI a reality. In the last few years, scientists have made breakthroughs in “machine learning,” using neural networks, which mimic the processes of real neurons.
This is a type of “deep learning” that allows machines to process information for themselves on a very sophisticated level, allowing them to perform complex functions like facial recognition. Big data is speeding up the AI development process, and we may be seeing more integration of AI technology in our everyday lives relatively soon. While much of this technology is still fairly rudimentary at the moment, we can expect sophisticated AI to one day significantly impact our everyday lives. Here are 6 ways AI might affect us in the future.
1. Automated Transportation
We’re already seeing the beginnings of self-driving cars, though the vehicles are currently required to have a driver present at the wheel for safety. Despite these exciting developments, the technology isn’t perfect yet, and it will take a while for public acceptance to bring automated cars into widespread use. Google began testing a self-driving car in 2012, and since then, the U.S. Department of Transportation has released definitions of different levels of automation, with Google’s car classified as the first level down from full automation. Other transportation methods are closer to full automation, such as buses and trains.
2. Cyborg Technology
One of the main limitations of being human is simply our own bodies—and brains. Researcher thinks that in the future, we will be able to augment ourselves with computers and enhance many of our own natural abilities. Though many of these possible cyborg enhancements would be added for convenience, others might serve a more practical purpose. AI will become useful for people with amputated limbs, as the brain will be able to communicate with a robotic limb to give the patient more control. This kind of cyborg technology would significantly reduce the limitations that amputees deal with on a daily basis.
3. Taking over dangerous jobs
Robots are already taking over some of the most hazardous jobs available, including bomb defusing. Whatever their classification, they have saved thousands of lives by taking over one of the most dangerous jobs in the world. As technology improves, we will likely see more AI integration to help these machines function.
Other jobs are also being reconsidered for robot integration. Welding, well known for producing toxic substances, intense heat, and earsplitting noise, can now be outsourced to robots in most cases.
4. Solving climate change
Solving climate change might seem like a tall order from a robot, but machines have more access to data than one person ever could—storing a mind-boggling number of statistics. Using big data, AI could one day identify trends and use that information to come up with solutions to the world’s biggest problems.
5. Robot as friends
Who wouldn’t want a friend like Robot Sophia (the humanoid robot created by Hanson Robotic, who attends four-day Digital World 2017 expo in Dhaka.)? At this stage, most robots are still emotionless and it’s hard to picture a robot you could relate to. However, a company in Japan has made the first big steps toward a robot companion—one who can understand and feel emotions. Introduced in 2014, “Pepper” the companion robot went on sale in 2015, with all 1,000 initial units selling out within a minute. The robot was programmed to read human emotions, develop its own emotions, and help its human friends stay happy. Pepper goes on sale in the U.S. in 2016, and more sophisticated friendly robots are sure to follow.
6. Improved elder care
For many seniors, everyday life is a struggle, and many have to hire outside help to manage their care, or rely on family members. “Home” robots could help seniors with everyday tasks and allow them to stay independent and in their homes for as long as possible, which improves their overall well-being.
Conclusion:
Although we don’t know the exact future, it is quite evident that interacting with AI will soon become an everyday activity. These interactions will clearly help our society evolve, particularly in regards to automated transportation, cyborgs, handling dangerous duties, solving climate change, friendships and improving the care of our elders. Beyond these six impacts, there are even more ways that AI technology can influence our future, and this very fact has professionals across multiple industries extremely excited for the ever-burgeoning future of artificial intelligence.
Accounts Executive at Union Group
6 年Thank you sir for the valuable information.
Creative Writer at SEO
6 年hallucination will be the disease if it breaks the functioning of life.
Jr. Executive, Digital Marketing at ACI Limited
6 年such a informative article to read !! thank you.?
Predictive Maintenance in plants & Industrial Remote Controls - MBA/SWUFE
6 年Machine learning is much useful to industrial applications. It can help with equipment maintenance. Such as ALPHA IoT pre-warning system in mineral processing plants. This system can predict the equipment failure after deep machine learning and data analysis. Then do adaptive adjustment.
Intern at Bashundhara Paper Mills Ltd
6 年splendid thought on Al...