If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Machine learning (ML) is a type of programming that enables computers to automatically learn from data provided to them and improve from experience without deliberately being programmed. It is based on algorithms that parse data, learn and analyze them, and make predictions or intelligent decisions in an autonomous fashion. With this clever characterization of Machine Learning, it is often interchanged with Artificial Intelligence (AI). However, to be accurate, ML is only a subset of artificial intelligence. Machine Learning is simply applied AI based on the idea that machines need to be given access to data in order for them learn and analyze it themselves.
For decades, discovering novel antibiotics meant digging through the same patch of dirt. Biologists spent countless hours screening soil-dwelling microbes for properties known to kill harmful bacteria. But as superbugs resistant to existing antibiotics have spread widely, breakthroughs were becoming as rare as new places to dig. Now, artificial intelligence is giving scientists a reason to dramatically expand their search into databases of molecules that look nothing like existing antibiotics. A study published Thursday in the journal Cell describes how researchers at the Massachusetts Institute of Technology used machine learning to identify a molecule that appears capable of countering some of the world's most formidable pathogens.
Imagine you're a fossil hunter. You spend months in the heat of Arizona digging up bones only to find that what you've uncovered is from a previously discovered dinosaur. That's how the search for antibiotics has panned out recently. The relatively few antibiotic hunters out there keep finding the same types of antibiotics. With the rapid rise in drug resistance in many pathogens, new antibiotics are desperately needed.
Customer experience is rising to become the top priority of many business companies nowadays. The expectations of these customers with the services provided by an organization are also growing with each passing moment. The need is to have a system that can guarantee improved customer satisfaction, which is where Artificial Intelligence (AI) plays a vital role. Here is how we are improving customer service using AI. More and more organizations are using AI to improve their customer interactions and experiences, by searching for immediate solutions and actions regarding opportunities that can boost customer experience and simultaneously provide them leverage over their respective competitors.
The fact that tech has a long way to go when it comes to its lack of diversity shouldn't be news to anyone at this point. The technology sector is the third biggest contributor to the US economy. And the people behind it--from founders to hiring managers to investors--overwhelmingly look like me: white men with a visible degree of affluence. Similarly, more than 90% of American venture capitalists are white men, and those white mend tend to fund startups led by people who also look like them. And as a result, men receive 35 times more funding than women.
Mobile app technology has reduced the gap between the global audience and the businesses. In less than a decade, applications became mainstream in the business world, because of its wide-ranging functionalities. As a flourishing concept in the market, it has been bombarded with a lot of different technologies. And today we will talk about one such technology. Yes, we are talking about mobile app development.
The healthcare industry is evolving rapidly with large volumes of data and increasing challenges in cost and patient outcomes. In this evolution, artificial intelligence (AI) has started playing a key role towards providing personalised patient experiences, streamlined operations and improved bottom lines. Early adopters of AI in the healthcare space are reaping the benefits in terms of patient care and adding to their bottom line results. These companies are using AI in a number of scenarios like managing claims, detecting fraud, improving clinical workflows, and predicting hospital acquired infections. AI is getting increasingly sophisticated at doing what humans do, but more efficiently, more quickly and at a lower cost.