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) …
When he was 8 years old, Matt Reeves started making 8-millimeter movies inspired by his love for the original "Planet of the Apes." "I'd have my friends put on gorilla masks and run around shooting these little sci-fi films," he recalls. "As a kid, I was captivated by these images of horses with apes on them." Decades later, Reeves, perched on a sofa in his tidy Hollywood office, has taken his fascination with primate cinema to a whole new level as the auteur behind the 2014 performance-capture blockbuster "Dawn of the Planet of the Apes" and this summer's "War for the Planet of the Apes." Taking the reins from "Rise of the Planet of the Apes" director Rupert Wyatt, Reeves, lauded for his low-budget horror hit "Cloverfield," initially harbored reservations about helming Twentieth Century Fox's multimillion-dollar franchise.
Artificial intelligence (AI) technology has been around for decades, but its capabilities, funding and the overall interest have skyrocketed in recent years. Machine learning functionalities are disrupting nearly every industry and our everyday lives, from self-driving cars to Facebook's facial recognition. According to CB Insights, funding for AI startups reached $5 billion in 2016. Further disruption is almost guaranteed as the acceleration of AI technology continues. This rapid progression is driven by advanced machine learning -- systems that continuously consume and apply knowledge to improve accuracy and analysis.
Movie history is filled with computers that make us miserable. Unlike today's computers that make our lives dreadful, like the little ones in our pockets eager to sell out our privacy for a nickel, or crash when we need them most, yesterday's computers were their own character in each film. Everyone knows how rude HAL got at the end of 2001: A Space Odyssey (1968). In The Aries Computer (1972, a mysterious Vincent Price film that may have not been filmed or released, part of the Zodiac series) the reported plot was this: It's 2013 and a supercomputer named Aries has become a ruling force, and humans need to figure out how to take their power back. Later came films like Terminator (1984), with it's hive-mind Skynet keeping humans under its virtual thumb.
In our daily lives we are all faced with the need to make decisions. We usually make personal decisions based on personal experience and information. We draw from our friends' experience as well as Internet and other external sources. The data needed to solve a particular challenge usually fits in our head and is structured in sketches in our mind, a notebook or a special document such as mind map. In business, the volume of available data increases in multiples and we are tasked with data collection, analysis and the sheer impossibility of not only holding all the information in our head but even structuring it in a single document.
Industry 4.0 is impacting not only Operational Technology, but Information Technology as well. This can most readily be seen, perhaps, when one considers how machine learning and artificial intelligence is driving efficiencies in business processes that begin with physical documents, digitize them, and then classify, enrich and dispatch them to workflows before they are, finally, archived in document management systems. "Digital" is now firmly embedded in every business. But even with technology as an integral part of the organization and its strategy, it is people who will ensure success in a world that continues to reinvent itself at an unprecedented rate. Simply adding more technology to the enterprise is insufficient; we must focus instead on enabling people to do more with that technology.
User interface design has always been a crucial part of the digital product development process. UIs represent the connection between people and technology, they're how we interact with digital products. And those interactions form the experiences we go through while using a software or an app. As users we naturally gravitate towards interactions that feel natural to us. We want frictionless, lightweight, and enjoyable experiences that represent the extension of our daily lives.
More investors are setting their sights on the financial technology (Fintech) arena. According to consulting firm Accenture, investment in Fintech firms rose by 10 percent worldwide to the tune of $23.2 billion in 2016. China is leading the charge after securing $10 billion in investments in 55 deals which account for 90 percent of investments in Asia-Pacific. The US came second taking in $6.2 billion in funding. Europe, also saw an 11 percent increase in deals despite Britain seeing a decrease in funding due to the uncertainty from the Brexit vote.
It isn't just the tech entrepreneurs and Hollywood directors who dream about the role that artificial intelligence can play, or will play, in everyday human life--educators have begin to join them. However, those dreams aren't always pleasant and may, in fact, sometimes turn into nightmares. If computer systems are able to perform tasks that humans have performed for thousands of years, will it render teachers and administrators a thing of the past? Or is artificial intelligence the secret to freeing up educators' time for other, non-routine tasks, like mentoring and spending more one-on-one time with students? To find out, I went straight to the source--eight educators, including superintendents, coaches and teachers--to find out whether AI tickles their fancy or scares them straight.
Uber is working on a system to prevent travel sickness in cars, which it sees as a barrier to the adoption of self-driving vehicles, stopping people from doing other things as they are ferried to their destination. According to a patent, which describes a "sensory stimulation system for autonomous vehicles", Uber plans to use vibrating and moving seats, the flow of air targeting the face or other part of the body, and light bars and screens to prevent passengers from feeling travel sick. "With the advent of autonomous vehicle technology, rider attention may be focused on alternative activities, such as work, socialising, reading, writing, task-based activities and the like," Uber says in the patent. "As the autonomous vehicle travels along an inputted route, kinetosis (motion sickness) can result from the perception of motion by a rider not corresponding to the rider's vestibular [balance and spatial orientation] senses." Uber's plan is to have a system that can stimulate the occupants as the self-driving car makes turns, brakes or accelerates, not necessarily to mimic the experience of being outside the car but instead provide distractions and learned responses to motion.
Deep Learning and Reinforcement learning library for TensorFlow for building end to end models and experiments. Modularity: The creation of a computation graph based on modular and understandable modules, with the possibility to reuse and share the module in subsequent usage. Usability: Training a model should be easy enough, and should enable quick experimentations. Configurable: Models and experiments could be created using a YAML/Json file, but also in python files. Extensibility: The modularity and the extensive documentation of the code makes it easy to build and extend the set of provided modules.