Computers don't cry during sad stories, but they can tell when we will. Sunspring debuted at the SCI-FI LONDON film festival in 2016. Set in a dystopian world with mass unemployment, the movie attracted many fans, with one viewer describing it as amusing but strange. But the most notable aspect of the film involves its creation: an artificial-intelligence (AI) bot wrote Sunspring's screenplay. "Maybe machines will replace human storytellers, just like self-driving cars could take over the roads."

This week most series are wrapping up with fall finales, but the biggest TV show making its exit is Mr. Robot. While we wait for the new Star Wars flick this weekend, movie fans can check out Dunkirk via video on-demand services or Moonlight on 4K Blu-ray. On streaming, Netflix is back with season two of its worldwide reality TV show Ultimate Beastmaster. For gamers, Okami HD will be available Xbox One and PS4, and Yooka-Laylee is coming to Switch while PlayerUnknown's Battlegrounds availability on Xbox One begins Tuesday morning at 2 AM ET. Look after the break to check out each day's highlights, including trailers and let us know what you think (or what we missed).

The acquisition gives Apple ownership of an app that helps users identify unfamiliar songs. Users are often directed to listen to those songs at Apple Music or Spotify, helping those services possibly reach new subscribers. Such referrals could help Apple boost the number of subscribers to its streaming-music service from its current 30 million. Spotify AB says its service has 60 million paid subscribers. Shazam, which made its debut as an app in 2008, also gives Apple access to extensive data and insight on people's musical interests.

A troubling new video that appears to show Wonder Woman star Gal Gadot performing in a short adult film has shed startling light on what could happen when machine learning falls into the wrong hands. The video, created by Reddit user deepfakes, features a woman who takes on the rough likeness of Gadot, with the actor's face overlaid on another person's head. It was made by training a machine learning algorithm on stock photos, Google search images, and YouTube videos of the star – and experts warn the technique is'no longer rocket science.' The algorithm was trained on real porn videos and images of Gal Gadot, allowing it to create an approximation of the actor's face that can be applied to the moving figure in the video. As all of this is freely available information, it could be done without that person's consent.

Artificial intelligence is a game-changer. Never in the history of human existence has there existed a technology with the power to wipe out cancer, end traffic accidents, and perhaps even formulate an actionable plan to reverse climate change. And fortunately for us, some of the smartest people in the world are working on ways to ...

Artificial intelligence (AI), once a topic only explored in science fiction movies, TV shows, and books, is something that has quickly become a part of the world of today. In 1969, management consulting firm McKinsey & Company released an article claiming that computers were not smart enough to make any decisions, but rather the human's intelligence behind the devices was powering them. With modern computers replacing skilled human labor in such fields as medicine, agriculture, and education, it is fascinating to see how incorrect this claim turned out to be. Some may even argue that artificial intelligence is the way of the future. With buzzwords like "artificial intelligence," "machine learning," and "bots" being tossed around, sometimes incorrectly interchangeably, it can be confusing to keep up with what is going on in this booming industry.

Amazon SageMaker is a fully managed service for developers and data scientists to quickly build, train, deploy, and manage their own machine learning models. AWS also introduced AWS DeepLens, a deep learning-enabled wireless video camera that can run real-time computer vision models to give developers hands-on experience with machine learning. And, AWS announced four new application services that allow developers to build applications that emulate human-like cognition: Amazon Transcribe for converting speech to text; Amazon Translate for translating text between languages; Amazon Comprehend for understanding natural language; and, Amazon Rekognition Video, a new computer vision service for analyzing videos in batches and in real-time. Today, implementing machine learning is complex, involves a great deal of trial and error, and requires specialized skills. Developers and data scientists must first visualize, transform, and pre-process data to get it into a format that an algorithm can use to train a model.

It seems as if these three terms are appearing everywhere these days, from news stories to press releases and even TV shows and advertising. For many of us, when we hear artificial intelligence (or AI), we think of either Commander Data from Star Trek (the utopian version) or Cylons from Battlestar Galactica (the dystopian version). But what does AI really mean? And how is it different from machine learning (ML) and deep learning (DL)? Here at Prowess, we've been taking on more and more projects that touch on these technologies. In this post, I'll pass on some of what we've learned about what the terms mean, how the technologies are changing our lives, and what hardware and software developments are enabling AI technologies to take off.

She's appeared on the cover of Britain's ELLE magazine and talk shows like Good Morning Britain and The Tonight Show. When Charlie Rose interviewed her on CBS's 60 Minutes this past June, the dangers of this humanoid hit me like a tidal wave. Sophia is the latest in a string of robotic humanoids. And, she is arguably the most powerful and threatening "woman" on the planet. Renowned scientist Stephen Hawking and hundreds of technology leaders are also worried about the potential risk of robots like Sophie being used as weaponry.

Artificial intelligence (AI) may not be ready to write the next blockbuster movie, but a team of AI researchers from the Massachusetts Institute of Technology's (MIT) Media Lab successfully used machine learning to teach computers about emotional arcs in movies. The researchers, which collaborated for this project with McKinsey, used machine learning to analyze thousands of videos, including movies, TV shows and short films found on Vimeo. "We developed machine-learning models that rely on deep neural networks to'watch' small slices of video--movies, TV, and short online features--and estimate their positive or negative emotional content by the second," the team wrote in a blog post Monday morning. The approach didn't just pay attention to the general plot line of a movie, but also to more subtle aspects, including the score, and close-ups of a person's face. Using these clues, the project's machine learning algorithms were able to identify positive and negative emotions, and map out the extend to which each scene would provoke emotional responses -- something the researchers called "visual valence."