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) …
Bitcoin's price has tumbled, falling by more than 25 per cent over the past seven days. At one point today, it was worth just half as much as it was a month ago. That's an enormous decline, and investors are concerned that they may be about to lose money. Here's the latest on bitcoin and why its value has plummeted. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph.
In this episode of Robots in Depth, Per Sjöborg speaks with Erin Rapacki about how the FIRST robotics competition was a natural and inspiring way into her career spanning multiple robotics companies. She also shares her game plan for starting a new robotics company and insight on the startup and venture capital landscape.
Artificial intelligence can beat humans at games such as Jeopardy, chess and Go, but these much-celebrated achievements aren't actually what we need. We want AI to work with us not against us – and the key may be a little banter. Jacob Crandall at Brigham Young University in Utah and his colleagues created an algorithm capable of learning to cooperate with people that uses short snippets of conversation known as "cheap talk". By including chit-chat, the team doubled the rate of cooperation between humans and AI across 472 games. These games were two-player interactions such as the prisoner's dilemma, where participants repeatedly choose from two options with the outcome dependent on the other player.
The American criminal justice system couldn't get much less fair. Across the country, some 1.5 million people are locked up in state and federal prisons. More than 600,000 people, the vast majority of whom have yet to be convicted of a crime, sit behind bars in local jails. Black people make up 40 percent of those incarcerated, despite accounting for just 13 percent of the US population. With the size and cost of jails and prisons rising--not to mention the inherent injustice of the system--cities and states across the country have been lured by tech tools that promise to predict whether someone might commit a crime.
This article was written by Kasper Fredenslund. Once we have downloaded the data, the first thing we want to do is to load it in and inspect its structure. For this we will use pandas. Pandas is a python library that gives us a common interface for data processing called a DataFrame. DataFrames are essentially excel spreadsheets with rows and columns, but without the fancy UI excel offers.
Ensemble is the art of combining diverse set of learners together to improvise on the stability and predictive power of the model. In short, you can simply create millions of unique ensembles within a single line of code using this package. This is the 1st release and the package is still under development. Feel free to shoot any questions regarding use of this package.
Google on Wednesday introduced a new security tool for G Suite that aims to bring together analytics, insights and recommendations about an organization's data security. SaaS has set off a revolution in the way companies consume services on-demand. We look at how it's spreading to other IT services and transforming IT jobs. With security center for G Suite, admins and executives can view security metrics on a unified dashboard, examine security analytics to flag threats, and adopt security best practices based off of customized recommendations. "We want to make it easy for you to manage your organization's data security," Google said.
No company can afford the backlash associated with a data breach. It's not just the fines, it's also the monumental impact to the company's reputation and potential hit to customer loyalty that can ultimately prove difficult for even the largest organizations to overcome. Unfortunately, data breaches and ransomware attacks are seemingly regular events with new occurrences continuously making headlines. In fact, in the first 10 months of 2017 alone there were a reported 1,120 breaches and more than 171 million records exposed -- a significant jump from the 36.6 million exposed records in all of 2016. As such, it's time for organizations to step up their approach to protecting enterprise data.
Once we start delving into the concepts behind Artificial Intelligence (AI) and Machine Learning (ML), we come across copious amounts of jargon related to this field of study. Understanding this jargon and how it can have an impact on the study related to ML goes a long way in comprehending the study that has been conducted by researchers and data scientists to get AI to the state it now is. In this article, I will be providing you with a comprehensive definition of supervised, unsupervised and reinforcement learning in the broader field of Machine Learning. You must have encountered these terms while hovering over articles pertaining to the progress made in AI and the role played by ML in propelling this success forward. Understanding these concepts is a given fact, and should not be compromised at any cost.