Las Vegas, HR Technology Conference & Expo #HRTech -- LEADx, Inc., the world's leading Conversational Learning (CL) platform for leadership enablement, today launched LEADx Coach Amanda, an executive coach virtual assistant powered by IBM Watson Assistant. "We believe every manager deserves a coach," said Kevin Kruse, LEADx founder and CEO. "Traditional leadership development, based on workshops and online tutorials, has long failed enterprises and managers alike. Executive coaches work well, but due to their cost they are ironically reserved for the leaders who have the most experience. But now, we've tapped the power of AI to democratize leadership development."

According to SAS, SAS Visual Data Mining and Machine Learning offers users a single platform to solve complex analytical problems. Combining data preparation, visualization, advanced analytics and model deployment, it unifies the entire machine learning process, from data access/transformation and preparation to scoring, in one environment. Running on the SAS Viya engine, SAS Visual Data Mining and Machine Learning includes the latest statistical, machine learning, deep learning and text analysis algorithms that accelerate structured and unstructured data explorations, while also supporting popular open source languages.

Everybody in the IT industry is fascinated (or scared) of artificial intelligence. The fear, however, is more a result of misinformation than anything rooted in reality. Thankfully, machine learning has a better reputation, even though it's the most important approach to achieving artificial intelligence. Machine learning consists of algorithms that are capable of consuming massive amounts of data. These algorithms understand patterns from the data and then translate the insight into actions.

You've probably heard about "machine learning" and "artificial intelligence". We break down everything you need to know. Machine learning and artificial intelligence (known as A.I.) both sound like futuristic terms for some dystopian future where robots take over the planet. There are lots of similarities and there is much overlap between different types of computer automated learning, inference, and autonomy, and each one comes with its own set of pros and cons. Sci-fi movies aside, there are lots of important differences between deep learning, machine learning, and artificial intelligence that highlight the different ways in which they work and the different applications they're best suited for.

Machine learning is an algorithm or model that learns patterns in data and then predicts similar patterns in new data. For example, if you want to classify children's books, it would mean that instead of setting up precise rules for what constitutes a children's book, developers can feed the computer hundreds of examples of children's books. The computer finds the patterns in these books and uses that pattern to identify future books in that category. Essentially, ML is a subset of artificial intelligence that enables computers to learn without being explicitly programmed with predefined rules. It focuses on the development of computer programs that can teach themselves to grow and change when exposed to new data.

After being in a limited beta run, Amadeus Code has just opened up to the public, ready to turn would-be artists into hit-making musicians. How it works: Amadeus Code's AI churns through music libraries, breaking down music into tiny units and looking for patterns. When a songwriter uses the app, the AI can then pull up those patterns and suggest new notes, slowly building the composer's melodies into music. "AI has this peculiar ability to find novel solutions--some successful, some not so much," says Amadeus Code cofounder Taishi Fukuyama in a statement. "These are suggestions which a composer can take or leave. Its decisions can spark a new idea for a composer, getting her into new creative territory."

I have recently read this paper from KDD 2018 and wanted to implement the paper and tried to see if I can reproduce the results. This is my first time implementing a paper and I don't think my implementation was perfect. However, I'm excited about this work and I would really appreciate it if y'all can take a look at it and give some feedback on the implementation! Please feel free to submit issues/PRs and I'm more than happy to discuss them and make the implementation better:)

More than 14 trillion photos are taken annually and most people have no formal training in photography. Most photographs come out subpar and it can easily be fixed with better lighting. Unfortunately, smartphone cameras do not provide sufficient lighting to accurately frame the subject, but Relonch AI changes that. This startup launched its latest product Relonch Alfred, which imitates light sources that don't exist in real life to give your camera phone photographs look as if they are professional quality. The company is inspired by the great NYC photographer Alfred Steiglitz, who revolutionized photography as an artistic medium.

The NFL is back in action, and along with it we have a slew of fall TV shows returning. That includes bingeable (it's a word) options on Netflix, Amazon and Hulu like Bojack Horseman season five, The First, Forever and American Vandal season two. For gamers, the standard edition of NBA 2K19 is here, plus the latest Tomb Raider game, while Blu-ray fans can get Oceans 8 or Batman: The Killing Joke on 4K Blu-ray. Look after the break to check out each day's highlights, including trailers and let us know what you think (or what we missed). Richard's been tech-obsessed since first laying hands on an Atari joystick.