The biggest names in tech are teaming up to form a new organization dedicated to advancing the public's understanding of machine learning. The Partnership on Artificial Intelligence to Benefit People and Society (aka the Partnership on AI) is a non-profit whose members include Amazon, Google, Facebook, IBM, and Microsoft. As its lengthier title suggests, the organization's mission statement is to "address opportunities and challenges with AI technologies." It aims to achieve this goal through research, which will be made available to the public, on topics related to AI such as ethics, privacy, transparency, the exchange of information between machine learning systems, and collaboration between people and AI. Additionally, the partnership plans to host discussions, conferences, and outreach with the public.

With the ability to make intelligent decisions based on data and behavior triggers, Oracle states that it will help users streamline business tasks and provide them with individualized recommendations for engaging with prospective customers. The announcement, named Adaptive Intelligent Applications, was made at the company's annual OpenWorld Conference and came shortly after Salesforce unveiled its Einstein project, which will incorporate AI into its core cloud offerings. The moves may also be connected to buyer needs. In a study conducted by Marketing ID (a sister publication to Demand Gen Report), one-third (33%) of marketers surveyed say their top budget priority will be predictive tools, slightly more than CRM integration (31%) and campaign reporting and metrics (31%). Industry experts noted that AI will provide users with insights into customer activities they haven't had access to previously.

Artificial Intelligence (AI), is a form of scientific advancement where robots and computer programmes have an ability to make decision independently and get closer to the way we, humans, think. Development of AI has a huge role to play in future. Today we can see driveless cars being tested, self-operating space shuttles being sent to Jupiter and even a robotic waiters waiting to welcome you at certain restaurants. However, when it comes to the future of AI, the scene is bigger and better than ever. AI enthusiasts like us grew up hoping that someday'Back to the Future' will become a reality.

A positive label means that an utterance was an actual response to a context, and a negative label means that the utterance wasn't – it was picked randomly from somewhere in the corpus. Each record in the test/validation set consists of a context, a ground truth utterance (the real response) and 9 incorrect utterances called distractors. Before starting with fancy Neural Network models let's build some simple baseline models to help us understand what kind of performance we can expect. The Deep Learning model we will build in this post is called a Dual Encoder LSTM network.

Are you a distinguished Machine Learning researcher with a strong academic track record? Are you excited and interested by what the future of AI holds? Do robots, human computer interaction and emotional intelligence excite you? Are able to think of ideas and translate them into products? Can you manage a Machine Learning team? One of the hottest Deep Learning start-ups globally, is looking for a forward thinking VP of Research to lead a group of Data Scientists.

Relink, a recruitment technology startup based in Copenhagen, has launched the beta version of the Goodwin API, the API powering the Goodwin recruitment data service. Currently in beta, Goodwin is a free service provided by Relink that recruiters can use to search for and obtain hiring information and insights for specialized job roles. Goodwin provides job role data such as most important skills, previous positions, educational background, time spent in the position, and next position. Relink is a startup that is building and providing a recruitment technology platform for HR and recruitment software vendors. The Relink platform uses machine learning and recommendation algorithms to analyze job descriptions and profile data in order to provide recruiters a fast and intelligent recruitment experience.

Soon scientists and the public will have the chance to easily test hypotheses about America's ecological challenges with the help of an ensemble of technologies, including artificial intelligence. Researchers at Georgia Institute of Technology will link their technology for systems thinking with IBM Watson and the Encyclopedia of Life at the Smithsonian. Scientists will then be able to use the information to create their own models about the environment and efficiently test them. The project is one of 10 "Big Data Spokes" announced by the National Science Foundation (NSF). The NSF's 10 million initiative was created to improve the ability to solve the nation's most pressing challenges with the use of big data.

In this video, I compare 5 of the most popular deep learning frameworks (SciKit Learn, TensorFlow, Theano, Keras, and Caffe). We go through the pros and cons of each, as well as some code samples, eventually coming to a definitive conclusion. If you like my videos, feel free to support me on Patreon and please LIKE, SUBSCRIBE, COMMENT, AND SHARE! https://www.patreon.com/user?u

Yahoo just announced the latest of its open-source releases, it's computer version code that detects pornography in images. The system detects whether a specific image contains pornography or not by using a special type of artificial intelligence called deep learning. It comprises educating artificial neural networks on lots of data (like porn images) and getting them to make a judgment about new data. Yahoo expects its neural network will authorize others to guard others against pornography, at the same time admitting its neural network isn't perfect because of the technology's very nature. "This model is a general purpose reference model, which can be used for the preliminary filtering of pornographic images," says a post on the Yahoo Engineering Tumblr.