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) …
Researchers have struggled to explain how we can identify familiar faces - or how that process is different from the way we perceive unfamiliar ones. Another question relates to different types of familiarity - for example, if you're looking at the face of a real-life acquaintance, or a celebrity's face that you've seen many times before. But researchers have started unraveling this mystery by working with rhesus monkeys - primates whose face-processing systems are similar to our own -discovering two previously unknown areas of the brain involved in face recognition. Researchers measured the brain activity of rhesus macaques as they responded to pictures of monkeys' faces. Because these areas are located in regions of the brain associated with memory, studying these areas could provide new insights into cognitive processes that go well beyond vision.
Former Uber CEO Travis Kalanick has been sued by a major investor claiming he fraudulently concealed serious issues with the company, and sought power over the ride-for-hire firm "for his own selfish ends". According to a complaint filed by Benchmark Capital Partners in a Delaware court, Mr Kalanick - who stepped down as CEO of the company earlier this year - "fraudulently obtained control" of seats on Uber's board of directors by covering up "gross mismanagement and other misconduct." The examples listed offer a neat summation of the scandals and legal fights that have beset the Silicon Valley giant and links Mr Kalanick to all of them, arguing that he was aware of encroaching trouble but did not disclose that to investors. They include: a now-fired executive who sought to obtain the medical records of a woman who was raped by an Uber driver in India; a controversial program known was "Greyball," first revealed by the New York Times, that was used to elude municipal officials in cities where Uber operated; a "pervasive culture of gender discrimination and sexual harassment" that has illuminated overarching issues with sexism in the tech industry and helped precipitate Mr Kalanick's departure; and an ongoing lawsuit in which Waymo, the self-driving car division of Google, claims Uber stole trade secrets. By seeking to create three new board seats despite those corporate conflagrations, the lawsuit alleges that Mr Kalanick retained his leverage over the board of directors and guaranteed himself "an outsized role in Uber's strategic direction even if forced to resign as CEO".
Travis Kalanick is being sued by one of Uber's largest investors, Benchmark Capital, which accuses the former chief executive of engaging in fraud in order to "increase his power over Uber for his own selfish ends". The Benchmark complaint exposes an ugly battle for power at the top of the nearly $70bn startup, which has been buffeted from crisis to crisis all year and is still searching for a replacement for Kalanick. The suit, filed on Thursday in Delaware Chancery court and first revealed by Axios, seeks to remove Kalanick from Uber's board of directors and bar him from interfering with Uber's business affairs. It demands redress for the alleged "fraud, breaches of fiduciary duty, and breaches of contractual obligations" perpetrated by Kalanick. The former CEO has hit back at the lawsuit, saying through a spokesperson that the case against him was "completely without merit and riddled with lies and false allegations".
A Google engineer who got fired over a controversial memo that criticized the company's diversity policies said that there might be biological reasons there are fewer women engineers. But top computer science schools have proven that a few cultural changes can increase the number of women in the field. In 2006, only about 10 percent of computer science majors at Harvey Mudd College were women. That's pretty low since Harvey Mudd is a school for students who are interested in science, math and technology. Then, Maria Klawe began her tenure as president of the college.
Data driven algorithms like neural networks have taken the world by storm. They recent surge is due to several factors, including cheap and powerful hardware, and vast amounts of data. Neural Networks are currently the state of the art when it comes to'cognitive' tasks like image recognition, natural language understanding, etc.,but they don't have to be limited to such tasks. In this post I will discuss a way to compress images using Neural Networks to achieve state of the art performance in image compression, at a considerably faster speed. This article assumes some familiarity with neural networks, including convolutions and loss functions.
With the wider availability of advanced analytics, thousands of scientists and engineers are applying machine learning to an extraordinarily broad range of domains. Over the last five decades, researchers have created literally thousands of machine learning algorithms. Traditionally an engineer wanting to solve a problem using machine learning must choose one or more of these algorithms to try, and their choice is often constrained by their familiar with an algorithm, or by the availability of software implementations. In this talk we talk about'model-based machine learning', a new approach in which a custom solution is formulated for each new application. In this talk, Christopher Bishop shows how probabilistic graphical models, coupled with efficient inference algorithms, provide a flexible foundation for model-based machine learning, and we describe several large-scale commercial applications of this framework.
Tableau, a Seattle-based business intelligence and analytics provider, announced this morning that it has acquired ClearGraph. Based in Palo Alto, Calif., ClearGraph provides smart data discovery and data analysis natural language query solutions. The purchase price has not been disclosed. ClearGraph was founded in 2014 by investment specialist Andrew Vigneault (CEO) and CTO Ryan Atallah. It is expected that ClearGraph's entire team will join Tableau and help integrate the technologies.
StarCraft and StarCraft II are among the biggest and most successful games of all time, with players competing in tournaments for more than 20 years. The original game is also already used by AI and ML researchers, who compete annually in the AIIDE bot competition. Part of StarCraft's longevity is down to the rich, multi-layered gameplay, which also makes it an ideal environment for AI research. For example, while the objective of the game is to beat the opponent, the player must also carry out and balance a number of sub-goals, such as gathering resources or building structures. In addition, a game can take from a few minutes to one hour to complete, meaning actions taken early in the game may not pay-off for a long time.
This tutorial clearly explains the steps you need to code your first Amazon Alexa skill app. Learn to code with the helpful of our intuitive tutorials Another important component is intent model. Intent is an important aspect of voice, speech coding Companion blog post http://www.siliconvanity.com/2017/07/...