Way back in 1983, I identified A.I. as one of 20 exponential technologies that would increasingly drive economic growth for decades to come.
Artificial intelligence applies to computing systems designed to perform tasks usually reserved for human intelligence using logic, if-then rules, decision trees and machine learning to recognize patterns from vast amounts of data, provide insights, predict outcomes and make complex decisions. A.I. can be applied to pattern recognition, object classification, language translation, data translation, logistical modeling and predictive modeling, to name a few. It’s important to understand that all A.I. relies on vast amounts of quality data and advanced analytics technology. The quality of the data used will determine the reliability of the A.I. output.
Machine learning is a subset of A.I. that utilizes advanced statistical techniques to enable computing systems to improve at tasks with experience over time. Chatbots like Amazon’s Alexa, Apple’s Siri, or any of the others from companies like Google and Microsoft all get better every year thanks to all of the use we give them and the machine learning that takes place in the background.
Deep learning is a subset of machine learning that uses advanced algorithms to enable an A.I. system to train itself to perform tasks by exposing multi-layered neural networks to vast amounts of data, then using what has been learned to recognize new patterns contained in the data. Learning can be Human Supervised Learning, Unsupervised Learningand/or Reinforcement Learning like Google used with DeepMind to learn how to beat humans at the complex game Go. Reinforcement learning will drive some of the biggest breakthroughs.
Autonomous computing uses advanced A.I. tools such as deep learning to enable systems to be self-governing and capable of acting according to situational data without human command. A.I. autonomy includes perception, high-speed analytics, machine-to-machine communications and movement. For example, autonomous vehicles use all of these in real time to successfully pilot a vehicle without a human driver.
Augmented thinking: Over the next five years and beyond, A.I. will become increasingly embedded at the chip level into objects, processes, products and services, and humans will augment their personal problem-solving and decision-making abilities with the insights A.I. provides to get to a better answer faster.
Technology is not good or evil, it is how we as humans apply it. Since we can’t stop the increasing power of A.I., I want us to direct its future, putting it to the best possible use for humans.
when I say show horse leadership I am not describing an arrogant leader patting themselves on the back for a moment of leadership. Instead, I am describing moments and events of leadership that we have the capacity to personally acknowledge as good leadership. Examples of this would be a situation where you help someone on your team overcome an obstacle or you go out of your way to care for those under your leadership. There is nothing wrong with show horse leadership, in fact, I think it is extremely beneficial to identify when you are doing good leadership so you can make that behavior a trend.
plow horse. To explain, these individuals don’t view him as a leader because he is leading a big initiative or he has a position of authority. They view him this way because of how he makes them feel. I had heard countless individuals explain how he approaches meeting and interactions and it aligns perfectly with Simon Sinek’s idea of a “circle of safety” in his book Leaders Eat Last.
Why has it taken almost 100 years for these copyrights to expire? In 1999, Congress passed the Copyright Term Extension Act, which extended protections for rights holders for 20 years. That created a two-decade gap between the works of 1922—which passed into the public domain in 1998, before the law was passed—and those of 1923.
Of course, even before books, movies, and musical compositions passed into the public domain, teachers looking to reprint and distribute them in part could have claimed fair use—an exception to copyright law that allows excerpts of protected material to be used for criticism, research, journalism, or teaching without permission or payment. But what counts as fair use is decided in court, and educators could still have faced legal challenges—especially if they distributed or sold their work to other teachers.
We asked 11 people to highlight lessons learned from their favorite managers. No matter what kind of boss you have right now, you can apply these valuable pieces of advice in your own career.
1. Own Your Work
“If she told me how to do it, I would rely on her for every assignment, expecting a 1-2-3 step guide. She was training me to be independent, self-motivated, and take pride in my work,” Chocha says.2. Remember the Goal
Researchers have discovered that virtual reality simulations like this one, can make viewers more empathetic to people they virtually embody: people of different races; people with colorblindness; even an avatar of an older version of themselves.
The United Nations has created about 20 virtual reality films, including one about a 12-year-old Syrian refugee and another profiling a Liberian woman whose family died from Ebola.
In medicine, virtual reality has been used to reduce pain, help stroke victims recover, and allow doctors to plan and watch surgery.
At the Royal Trinity Hospice in London, a dying woman and her husband revisited Venice, where they had gotten engaged — the simulation was part of a larger study about VR’s effect on physical and psychological symptoms at the end of life. Another woman walked the beaches of the Maldives. A third returned to Jerusalem, the city where she grew up.
Virtual reality may also encourage people to plan for the end of life, says Marilyn Gugliucci, director of geriatric education and research at the College of Osteopathic Medicine.