artificial intelligence, noun: The capacity of computers or other machines to exhibit or simulate intelligent behavior; the field of study …

The idea of having AI and machine learning write an essay is no longer science fiction. Like many people who go to college, I had to work and go to school full time. I had entered a Pre Med program while I was working six hours a day managing a pharmacy and serving as a pharmacist technician. My job forced me to have to handle a great deal of responsibility serving four senior care facilities and keeping up with my classes. Managing my time was difficult.

The path from research lab to patient is a long and costly one. According to the California Biomedical Research Association, it takes an average of 12 years for a drug to travel from the research lab to the patient. Only five in 5,000 of the drugs that begin preclinical testing ever make it to human testing and just one of these five is ever approved for human usage. Furthermore, on average, it will cost a company US $359 million to develop a new drug from the research lab to the patient[1]. Drug research and discovery is one of the more recent applications for AI in healthcare.

While only a handful of researchers currently have the experience and skills to work on machine learning, it is imperative that the general public understand the role AI will play in our society and learn to adapt with it. Economists argue on exact figures of unemployment, but there is no doubt that AI will alter, if not eliminate, most unskilled labor jobs. There is not enough mainstream media coverage depicting this, leaving far too many people in the dark. The "Today" show should bring in computer scientists and engineers to discuss AI instead of a fashion designer to cover an awards show.

In this live webcast our expert panel will discuss the emergence and increasing use of robotics and Artificial Intelligence (AI) within health and how this is redrawing the care landscape. The wave of innovations being driven by these technologies is not only transforming clinical decision-making, patient monitoring and care, and surgical support, but fundamentally changing how we approach healthcare for our populations.

Like many in Silicon Valley, technology entrepreneur Bryan Johnson sees a future in which intelligent machines can do things like drive cars on their own and anticipate our needs before we ask. What's uncommon is how Johnson wants to respond: find a way to supercharge the human brain so that we can keep up with the machines. From an unassuming office in Venice Beach, his science-fiction-meets-science start-up, Kernel, is building a tiny chip that can be implanted in the brain to help people suffering from neurological damage caused by strokes, Alzheimer's or concussions. Top neuroscientists who are building the chip -- they call it a neuroprosthetic -- hope that in the longer term, it will be able to boost intelligence, memory and other cognitive tasks. The medical device is years in the making, Johnson acknowledges, but he can afford the time.

Like many in Silicon Valley, technology entrepreneur Bryan Johnson sees a future in which intelligent machines can do things like drive cars on their own and anticipate our needs before we ask. What's uncommon is how Johnson wants to respond: Find a way to supercharge the human brain so that we can keep up with the machines. From an unassuming office in Venice Beach, his science-fiction-meets-science start-up, KerNEL, is building a tiny chip that can be implanted in the brain to help people suffering from neurological damage caused by strokes, Alzheimer's, or concussions. The team of top neuroscientists building the chip -- they call it a neuroprosthetic -- hope that in the longer term, it will be able to boost intelligence, memory, and other cognitive tasks. The medical device is years in the making, Johnson acknowledges, but he can afford the time.