Netflix released at least one movie a week over the past two years – I challenge you to name them all! According to Bloomberg, the streaming giant is restructuring its movie division and releasing fewer movies overall. Despite the sheer number of titles Netflix previously released, only a few had won accolades, attained significant hours of streaming, or had the kind of cultural impact some of the biggest blockbusters had achieved. Netflix ramped up its film development after studios started building their own streaming services instead of licensing their movies to the company. This restructuring will combine the team working on small projects with a budget of $30 million or less and the unit that produces mid-budget films that cost $30 million to $80 million.

Outside of combat, the banter during walking segments itself basically encourages players to navigate these environments slowly. There's so much written and recorded dialogue, the game was always struggling to keep up with my pace, even if I was merely walking through environments. Jokes and background information would often get cut off because I would stumble into the next narrative checkpoint. The game should be praised for the amount of scenarios the developers wrote and planned for, because even mundane tasks like Rocket opening a door might have new, contextual lines based on whatever's happening to the team. The game is linear, but it still makes great effort to accommodate many situations.

Walt Disney Co. (NYSE:DIS) presented at a conference last month its newly developed artificial-intelligence (AI) technology for tracking the facial reactions of theatergoers as they watch a movie. The tech could help the entertainment giant make even better movies and could also have other applications across its empire. Disney tapped an NVIDIA (NASDAQ:NVDA) graphics processing unit (GPU) to play a starring role in the development of its new tech. Here's what you should know. Disney's new factorized variational autoencoders (FVAE) tech falls within the branch of AI called deep learning, which aims to mimic human thought processes. In deep learning, an artificial neural network is trained how to think or make inferences, and then it's deployed where it makes inferences from new data, which could be images, speech, and so on.