You'll have to wait a while longer to slay Superman. Rocksteady Studios has delayed Suicide Squad: Kill the Justice League from sometime in 2022 to spring 2023. Company co-founder Sefton Hill didn't explain the decision, but promised the extra time would be used to "make the best game" possible. The title has Harley Quinn, King Shark and other Suicide Squad villians fight mind-controlled superheroes like Superman and The Flash as they cause chaos. Rocksteady hasn't shown gameplay, but Kill the Justice League will be available for PC, PlayStation 5 and Xbox Series X/S.

"Machine intelligence is the last invention that humanity will ever need to make " -- Nick Bostrom As we have already discussed RNNs in my previous post, it's time we explore LSTMs for long memories. Since LSTM's work takes previous knowledge into consideration it would be good for you also to have a look at my previous article on RNNs ( relatable right?). Let's take an example, suppose I show you one image and after 2 mins I ask you about that image you will probably remember that image content, but if I ask about the same image some days later, the information might be fade or totally lost right? The first condition is where we need RNNs ( for shorter memories) while the other one is when we need LSTMs for long memory capacities. For more clarification let's take another one, suppose you are watching a movie without knowing its name ( e.g. Justice League) in one frame you See Ban Affleck and think this might be The Batman Movie, in another frame you see Gal Gadot and think this can be Wonder Women right?

Most of DC Fandome's big reveals today have focused on its upcoming films, but there was still time to squeeze in a video game announcement or two. Earlier today we got a look at Warner Bros. Montreal's new Bat-Family title, Gotham Knights. Now we've finally gotten more details on Rocksteady's upcoming Suicide Squad title after it was teased earlier this month. The game's relationship to James Gunn's movie, which was also showcased during Fandome, is mostly nonexistent. The game will highlight a smaller roster of Harley Quinn, Deadshot, King Shark and Captain Boomerang.

Warner Bros. is turning to artificial intelligence company Cinelytic to help decide which movies it should make Finally, Warner Bros. is acknowledging its continued reactionary decision making and mishandling of some of its most valuable IPs, and is partnering with an AI analytics firm to get a clearer picture of what works and what doesn't. Up until recently, the studio had made a series of blunders with its tent-pole DC superhero properties that garnered nothing but divisiveness among critics and fans, and led to its Avengers-style team-up film Justice League costing the studio more than $100 million. In addition, the rate at which new projects were being announced and shelved, the amount of directors signing on and then leaving in-development films, and the handling of relationships with big Hollywood names like Ben Affleck and Zack Snyder resulted in wave after wave of negative headlines. Big changes were clearly needed. After the financial failings of Justice League, WB appointed Walter Hamada as the head of DC Films, and under his leadership the studio has seen increased success with its DCEU titles, such as Aquaman, and more recently its standalone film Joker.

It seems Warner Bros. is taking data analytics out of their own hands and into those of an artificial intelligence system. The 96-year-old company has faltered in recent years due to allegations of executive misconduct and critical business mistakes. Warner Bros. has also bungled the development of some of their most valuable IPs, such as DC superhero films like Batman v Superman: Dawn of Justice and Justice League. It's no secret that Warner Bros. has struggled to catch up with Marvel at the box office, but it's surprising just how far behind they really are. Justice League, a movie that was supposed to be the pièce de résistance of the DCEU, ended up costing the studio upwards of $100 million.

Max Kalmykov is the VP of Media and Entertainment at DataArt. Broadcasters and movie studios alike are starting to explore the huge potential of modern technologies to bring a new generation of filmed entertainment to our TV sets and cinemas. Artificial intelligence, machine learning, and deep learning are the buzzwords that excite video executives with promises of revolutionary new abilities for video creation and editing. Deep learning, in particular, is the new frontier for the video industry, allowing video professional to do things automatically that would have taken weeks of work in the past, as well as some things that wouldn't have been possible at all. How is deep learning different from other machine learning algorithms?

In her new book Race After Technology: Abolitionist Tools for the New Jim Code, Ruha Benjamin breaks down the "New Jim Code," technology design that promises a utopian future but serves racial hierarchies and racial bias. When people change how they speak or act in order to conform to dominant norms, we call it "code-switching." And, like other types of codes, the practice of code-switching is power-laden. Justine Cassell, a professor at Carnegie Mellon's Human-Computer Interaction Institute, creates educational programs for children and found that avatars using African American Vernacular English lead Black children "to achieve better results in teaching scientific concepts than when the computer spoke in standard English." But when it came to tutoring the children for class presentations, she explained that, "We wanted it [the avatar] to practice with them in'proper English.' Standard American English is still the code of power, so we needed to develop an agent that would train them in code-switching."

The first generation of 3D video games are ugly. I think they are ugly in a charming way, but many people disagree with even that. The truth is that the Nintendo 64, PlayStation, and Saturn were like the Atari and Intellivision for 3D graphics. While modern technology has easily surpasses those hardware limitations, new processes may have a way to make those old games look slightly better. And it all comes down to neural networks and machine learning. One of the big reasons a game like Final Fantasy VII looks so ugly today is because of its textures.

When 2017 superhero flick Justice League went through $25 million worth of "extensive reshoots," there was one particularly unexpected hurdle: Henry Cavill's mustache. The actor, who plays Superman in the DC universe, had grown the soup strainer for his role in Mission: Impossible 6. But when reshoots for Justice League came around, he couldn't just shave the thing off, so it had to be digitally edited out. But can cheap AI do better? In the video above, one internet user shows how the latest machine learning-powered image manipulation techniques handle the task of facial topiary.

The most recent episode of Rotten Tomatoes' new movie-review series, See It/Skip It, opened not with a rave, nor a thumbs-down, but a semi-apology. "We've seen the conversations online about the Justice League Tomatometer," co-host Jacqueline Coley told her Facebook Watch audience, "and we get it: You guys are passionate about this film. But we hope everyone understands the only thing we're trying to do is add context and conversation around the Tomatometer, and not just give a number." What's Zack Snyder Been Doing Since He Left Justice League? It was an odd, stilted start to what's supposed to be a breezy movie-chat show (the phrase "context and conversation around the Tomatometer" sounds like something a drunken Babelfish bot might spit out).