Artificial Intelligence is the ability of a computer or other machine to perform those activities that are normally thought to require intelligence. It can also define as a branch of computer science concerned with the development of machines having this ability.
If you take a look at this you may notice that the field of AI is actually far broader than many people give it credit for. Even the Google search engine can be said to incorporate some of the research done in AI. The definition of AI and intelligence itself sometimes varies but it’s probably safe to say that a simple explanation is that if a machine exhibits a measure of intelligence in some area it can be called AI.
The AI of movies is usually entirely self aware, emotive, and for all intents and purposes ‘alive’. It is capable of learning, reasoning, explaining and deceiving. The AI I’ve experienced (and this is very basic, scratching only the surface of the depth of studies into AI) is far more specialized, focusing on just one aspect of a problem that could potentially be much larger. There are various areas of research being carried out into creating the humanoid machines of science fiction, but as yet most are still restricted to the realms of the imagination. One very impressive piece of technology is the Honda ASIMO project. This project has created a humanoid robot with some remarkable features. I’m not entirely sure if there’s really a practical use for this (I think they’re just trying to justify their funding with the applications mentioned on the website) but it scores points for being one of the coolest uses of technology I’ve ever seen.
Artificial intelligence technology has advanced leaps and bounds in a relatively short period of time. What once seemed like science fiction is quickly becoming a reality. The sudden advancement in technology has reawakened some fears about what artificial intelligence could mean for the future of humankind. Those speaking up about the dangers of artificial intelligence aren’t just conspiracy theory whack-jobs either. Recently, Stephen Hawking, arguably one of the most brilliant minds of the last century and Elon Musk, the CEO of Tesla Motors, have both voiced concerns about the future of artificial intelligence.
Will Artificial Intelligence become a dangerous threat?
According to Hawking, real artificial intelligence could bring about the end of the human race faster than global warming or any other threat to mankind. Hawking theorizes that AI could redesign itself at an exponential rate far beyond what humans have the ability to keep up with. Because computers aren’t limited in the same ways that humans are, they could very quickly surpass humanity.
Elon Musk agrees with Hawking but it quick to point out that true artificial intelligence is still quite a ways away. While there have been many impressive advancements in the field of artificial intelligence in recent years, we are nowhere near being able to create artificial intelligence capable of becoming more intelligent than humans.
How will Artificial Intelligence change our lives in future.
Many firms already use AI algorithms to process big data and automate simple tasks. And the trade dispute between the United State and China is highlighting the importance of artificial intelligence in commerce.
the once science fictional will become increasingly affordable. That means that more and more tech startups will use AI to both streamline their workflow and increase their margins.
But the change will be subtle, almost too subtle to notice. At least at first. Many of these AI innovations will be compatible with existing infrastructure, meaning that the change will be slow, and yet impactful.
We are already seeing automated customer support bots integrated into apps. In addition, digital assistants are taking some of the legwork out of everyday operations. More importantly, AI will make user interface more friendly and also provide customer data trends. These data trends will allow managers and owners to make better-informed decisions in response to consumer demand.
The science of mobile app development will be both quantitatively and qualitatively improved. All this because of the introduction of machines capable of learning. Firms should appreciate the magnitude of this shift in app development and prepare for it by seeking out the most innovative systems.