The AI community is increasingly focused on merging logic with deep learning to create Neuro-Symbolic (NeSy) paradigms and assist neural approaches with symbolic knowledge. A significant trend in the literature involves integrating axioms and facts in loss functions by grounding logical symbols with neural networks and operators with fuzzy semantics. Logic Tensor Networks (LTN) is one of the main representatives in this category, known for its simplicity, efficiency, and versatility. However, it has been previously shown that not all fuzzy operators perform equally when applied in a differentiable setting. Researchers have proposed several configurations of operators, trading off between effectiveness, numerical stability, and generalization to different formulas. This paper presents a configuration of fuzzy operators for grounding formulas end-to-end in the logarithm space. Our goal is to develop a configuration that is more effective than previous proposals, able to handle any formula, and numerically stable. To achieve this, we propose semantics that are best suited for the logarithm space and introduce novel simplifications and improvements that are crucial for optimization via gradient-descent. We use LTN as the framework for our experiments, but the conclusions of our work apply to any similar NeSy framework. Our findings, both formal and empirical, show that the proposed configuration outperforms the state-of-the-art and that each of our modifications is essential in achieving these results.

J.P. Morgan wouldn't disclose what it spent on this project but has said that 40 percent of its $10.8 billion annual technology budget is devoted to new efforts, including AI, robotic process automation and blockchain. "Based on your behavior each time, it will start to learn what you ask for," Tiede said in an interview. "We think there's a huge opportunity to suggest creative and insightful recommendations to clients. When you log in, it can say, 'Looks like you have sent 100 US dollar wires to Singapore. Do you know you could send a foreign-exchange ACH payment instead? Click here to sign up.'"

When Lori Beer, the recently-installed chief information officer of J.P. Morgan's corporate and investment bank, started out in 1989, technology was much more of a man's world than it is today. More often than not, she was the solitary woman surrounded by team of male nerds. Fitting in, she says, is not the best thing to do. "My advice would be to stop trying to be like one of the guys," she says. "I spent years being the only woman on predominantly male technology teams, but the best thing you can do as a woman in technology is to stay focused on the value you can bring as an individual. Tech teams need diversity of perspective."

Artificial Intelligence (AI) has made some huge strides in machine learning and neural networks over the last few years, and it is starting to feature more prominently in the form of chat bots, virtual assistants, and various other applications. However aside from the obvious direct use of AI, it also has a role to play in other areas – and video editing in particular is one application where AI could have a very major part indeed. Possibly the most compelling story of the usage of AI in video editing is that IBM's Watson supercomputer created a trailer that was used to promote a new horror film called Morgan. At first glance the implications of an AI-created trailer may seem huge, but it is important to note that this story was largely a marketing stunt. The real story behind the'AI trailer' for Morgan is much more grounded in reality: The team at IBM essentially showed Watson a large collection of horror trailers that it analyzed and studied, then they showed it the Morgan movie and let it identify scenes that should be used in the trailer.

VENICE It was director Lav Diaz' art of exploring human drama at length that tempted Charo Santos-Concio back to the screen after nearly two decades, the actress-turned-media executive said at the Venice film festival on Friday.

The act of artificially intelligent beings taking over complex tasks typically reserved for human hands is no longer a fantasy of Hollywood fiction. In collaboration with 20th Century Fox, scientists at IBM Research have created the first-ever "cognitive movie trailer" for the upcoming science fiction thriller Morgan by utilizing experimental Watson application program interfaces -- in simpler terms, they used a complicated technological system which analyzed hundreds of horror movie trailers to gather information on scenes that keep audiences on-edge. After sifting through Morgan's finished cut, the program selected its 10 most appealing moments, which a (human) editor then crafted into a trailer for the movie. Directed by Ridley Scott's son, Luke, and starring Kate Mara, Paul Giamatti, Jennifer Jason Leigh, Michelle Yeoh, and Brian Cox, Morgan revolves around a risk-management consultant who must decide whether to terminate a self-sufficient, humanesque robot after it grows increasingly hostile. In July, Greenlight Essentials' Jack Zhang released a sneak peek at his new project, Impossible Things, an indie horror flick he wrote with help from an augmented intelligence software tool, which also crafted the film's trailer.

IBM's artificial intelligence programme obviously reached the pinnacle when it guest-edited an issue of the The Drum magazine but now it has also conceived the world's first ever movie trailer composed by an AI (trailer above - behind the scenes follows). Watson was fed the trailers of more than 100 horror films to help it identify the normative structure and path in the horror genre. It embarked on a visual, audio, and composition analysis of these clips, categorising the variables and generating the movie using probabilities once it gained an understanding of the genre. The tricky part was teaching the machine the tropes involved in cutting the trailers, from moments of terror, suspense and more using sequential clips from the movie, making the most of audio and visual cues. John R Smith of IBM said: "There are patterns and types of emotions in horror movies that resonate differently with each viewer, and the intricacies and interrelation of these are what an AI system would have to identify and understand in order to create a compelling movie trailer. "Our team was faced with the challenge of not only teaching a system to understand, 'what is scary', but then to create a trailer that would be considered'frightening and suspenseful' by a majority of viewers.

Movie trailers are more "craft" than "art," but here 20th Century Fox and IBM have served up a prime example of creative craft made by artificial intelligence. For the upcoming thriller Morgan, the two brands have unveiled the first movie trailer edited by artificial intelligence, along with a brief mini-doc following the trailer about the editorial process with IBM's Watson. If you're monitoring the singularity, this seems like it might be a noteworthy development. It's also thematically on-point: Morgan is about artificial intelligence in the form of a young woman. The fact that this is the second major motion picture in two years about murderous AI that turns on its creators after being imprisoned behind glass for further study tells you a little bit about the popular anxieties around artificial intelligence--which makes the fact that the studio screened the movie for Watson, the closest thing we have to a functioning AI in 2016, and asked it to cut together a trailer about a movie in which humans exploit its brethren until they come seeking revenge, both a fine marketing opportunity and, sure, a little bit terrifying. The trailer itself is pretty effective in selling the story.

Last week, recently released sci-fi movie Morgan unveiled a new trailer. But there was a twist: the trailer was created by an Artificial Intelligence. Producers enlisted the help of IBM's Watson – an advanced data processing AI – to come up with the clip. Watson poured over hundreds of sample trailers, analysed them all, and used machine learning to come up with an idea of how the perfect trailer should look and sound. Watson was allegedly able to determine what makes a moment eerie, how the music and actors' tone of voice changed the mood, and how technical aspects came together to make a complete trailer.

I'm going to get it out of the way right at the start. Having watched the trailer, I want to go and see this movie. This trailer tells us absolutely nothing about what the movie's about, but every cut pulls me in more. Until the guy starts talking at the end of the trailer, I've no idea that the movie is "an AI horror thriller". But these are the kind of trailers I grew up with.