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) …
Amazon applied science manager Dr. Nashlie Sephus has lived in New York City, Atlanta, Silicon Valley, and Seoul while pursuing her education and work in machine learning. She knows the look of a community that's thriving from technology and innovation, but she didn't see that growth happening in her hometown of Jackson, Mississippi. That's why last week she concluded an 18-month process by signing contracts to secure 12 acres of land that will be home to the Jackson Tech District. The Bean Path, a nonprofit organization created by Sephus, will operate a maker and innovation space on the land. There will also be restaurants and residential lofts spread across eight buildings, all located near the historically Black Jackson State University.
Stopping the spread of infectious disease has taken on a new urgency. But what's the best way to check large groups of people for signs of illness? One option is to set up a fever screening station. Thermal screening stations are not a new concept. Many of us have walked through them in airports or hospitals.
On September 18th The Lancet Digital Health released an article called " Artificial intelligence in COVID-19 drug repurposing" (written by Yadi Zhou, PhD, Prof Fei Wang, PhD, Prof Jian Tang, PhD, Prof Ruth Nussinov, PhD, Prof Feixiong Cheng, PhD) in the article it explained how artificial intelligence is being used for drug reproposing,which is where an already existing is drug used to fight novel diseases such as COVID-19. Artificial intelligence is being used to speed up this process, with the exponential growth in computing power, memory storage and a plethora of data its only right for the medical sector to use this to speed up a process that help fight against the worlds latest threat that is COVID-19. So how is artificial intelligence being used to speed up this process, well the article explains how artificial intelligence used for extracting hidden patterns and evidence from biomedical data, which otherwise would have been done manually saving a considerable amount of time. In connection to the medical sector, artificial intelligence in medicine may be racially biased. Just like explained above artificial intelligence has transformed the healthcare and has really cut the time on many aspects of medicine such as making a breast or lung cancer diagnosis based on imaging studies, or deciding when patients should be discharged in a matter of second which is just incredible, but like all good things it comes with its flaws.
Artificial Intelligence is one of the most innovative technologies in recent times and is taking mobile technology to the next level. AI technology enhances user experience with various features like face recognition, voice commands, image labeling. Alan Turing, an American Computer Scientist has sowed the seeds of the concept of artificial intelligence in 1956. He also developed a'Turing test' to determine whether a computer (machine) can intelligently think like a human. Today, every industry has realized the fact that AI is the next big technology that will transform human machine interactions. AI automates specific tasks and helps in problem solving.
In this article, I have shared a 3-month plan to learn mathematics for machine learning. As we know, almost all machine learning algorithms make use of concepts of Linear Algebra, Calculus, Probability & Statistics, etc. Some advanced algorithms and techniques also make use of subjects such as Measure Theory(a superset of probability theory), convex and non-convex optimization, and much more. To understand the machine learning algorithms and conduct research in machine learning and its related fields, the knowledge of mathematics becomes a requirement. The plan that I have shared in this article can be used to prepare for data science interviews, to strengthen mathematical concepts, or to start researching in machine learning. The plan will not only help in understanding the intuition behind machine learning but can also be used in many other advanced fields such as statistical signal processing, computational electrodynamics, etc.