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) …
As you know a perceptron serves as a basic building block for creating a deep neural network therefore, it is quite obvious that we should begin our journey of mastering Deep Learning with perceptron and learn how to implement it using TensorFlow to solve different problems. In case you are completely new to deep learning, I would suggest you to go through the previous blog of this Deep Learning Tutorial series to avoid any confusion. Basically, a problem is said to be linearly separable if you can classify the data set into two categories or classes using a single line. On the contrary, in case of a non-linearly separable problems, the data set contains multiple classes and requires non-linear line for separating them into their respective classes. Let us visualize the difference between the two by plotting the graph of a linearly separable problem and non-linearly problem data set:Since, you all are familiar with AND Gates, I will be using it as an example to explain how a perceptron works as a linear classifier.
Even after years of experience, senior underwriters can still spend a large part of their day doing the administrative tasks that they were taught early in their careers. AntWorks, a global artificial intelligence (AI) and intelligent automation company, can transform the way they spend their time. "All the rules and learning are completely discoverable, addressing concerns often held about AI and RPA technologies." "In your first weeks of work you may have been trained to recognise insurance slips and documents that brokers might present to you as an underwriter," said Mike Hobday, AntWorks' senior vice president for Europe. "You would be trained to understand the data you need to extract, to think about the standing of the broker and the nature of the risks. You might even make some calculations and underwrite the offered risk by entering data into the core systems of the business. "As a very senior and experienced underwriter, there might still be a large part of your day spent doing the administration you were taught in those earlier days.
David Ferrucci led the team that built Watson, the IBM question-answering system that beat the top humans in the world at the game of Jeopardy. He is also the Founder, CEO, and Chief Scientist of Elemental Cognition, a company working engineer AI systems that understand the world the way people do. This conversation is part of the Artificial Intelligence podcast.
We've all heard it before: "Win or go home." Whether in business or on the playing field, the pressure to win is intense. And in today's financial services industry, the winner can literally take all. As banks struggle to adapt in the throes of digital disruption, executives find themselves squeezed to use artificial intelligence (AI) or machine learning (ML) models to power their digital transformation initiatives forward. The industry's use of computational finance models to make decisions is nothing new.
Description: The Health Group of Leidos is currently seeking a Research Scientist / Data Analyst to provide analytical and database support for a variety of health and psychological research studies. This position will be in the Health and Behavioral Sciences Department at the Naval Health Research Center located in San Diego, CA. Duties and Responsibilities: The successful candidate will use SAS 9.4 and SAS Enterprise Guide to support comprehensive data management processes for diverse, research projects. They will work collaboratively with the Principal Investigator and research scientists identify ways to answer complex mental and physical health questions with population-level military medical and personnel electronic records. Due to contract restrictions, candidate must be a U.S. citizen and will be required obtain a Secret Clearance.
To cross the Atlantic with an unmanned, autonomous ship will push technology to its limits. Like the Mayflower's 101 passengers in 1620, we'll also need a lot of help and some good luck. I grew up in Boston, Massachusetts. I spent a lot of time messing around in the ocean, swimming and diving. Unlike my friends and brothers, I preferred looking at the fish to eating them.
Despite the ups & downs of the market and locking of horns with the regulators, Cryptos have seen a growing interest from retail and institutional traders alike over the past money months. No wonder then we have seen innovative new products being launched to cater to this growing interest. Legacy financial markets provide an ample opportunity to trade with products like index funds which track the performance of a multitude of underlying financial instruments. These index funds are usually popular with retail traders as well since they don't have to deal with the volatility of trading just one security. Trading Cryptos actively involves a lot of risks since most of the digital assets are so volatile in nature.
It's quite a direct statement to make, but at the end of the day, that's what it really comes down to. If your site content or service isn't catering to exactly what your audience is looking for, then they will leave within a few seconds and likely never come back. Unfortunately, this is something that happens millions of times per day across millions of sites on the internet. Too much emphasis is being placed on creating content and not enough on personalizing content. With user engagement, interests and browsing habits being collected and tracked more than ever before… websites and blogs of all sizes should be using this data to improve user experience through site content, navigation, calls-to-action, and user intent.
The financial landscape has been rapidly evolving with the rise of financial technology (fintech) companies and startups that are more agile and technologically advanced. This has led financial services institutions (FSIs) to revise their business models and evaluate how they can integrate technology into their operations. Robotic process automation (RPA) is no longer a foreign term in the financial field. Pairing RPA with artificial intelligence (AI) creates intelligent process automation (IPA) that works as a catalyst in digital transformation in FSIs. Like many other industries, the financial field is heavily reliant on documents and legacy systems.
Adversarial examples are inputs to machine learning models that an attacker has intentionally designed to cause the model to make a mistake. An adversarial attacker could target autonomous vehicles by using stickers or paint to create an adversarial stop sign that the vehicle would interpret as a'yield' or other sign. A confused car on a busy day is a potential catastrophe packed in a 2000 pound metal box. So far, the majority of adversarial attacks, the attacker designed few perturbations to produce an output specific to a given input. The attacks consisted of untargeted attacks that aim to degrade the performance of a model.