MGM wants to revive the franchise with the appropriately-titled RoboCop Returns, which will apparently directly follow the 1987 original film -- and ignore the 2014 reboot. Returns will be based on an old spec script that the first film's writers Ed Neumeier and Michael Miner wrote shortly after the original's release. Due to the 1988 writer's strike, that screenplay wasn't used and the studio brought in a young Frank Miller of comics fame to craft a new one. But the delay also means the next RoboCop will be directed by someone who grew up with the original. "What I connected to as a kid has evolved over time," Blomkamp told Deadline. "At first, the consumerism, materialism and Reaganomics, that '80s theme of America on steroids, came through most strongly.

My friends, I've had this dream for more than a decade now--a dream which I've invited you all to share with me. In six months we begin construction of Delta City, where Old Hollywood now stands. Old Hollywood has a cancer. The cancer is unfamiliar intellectual property. At MGM, we believe James Bond movies are only part of the solution.

The fear of the unknown is a basic human feeling, shared by most people. The fear mechanism is one of the most developed devices throughout our evolution. It's there to protect us from evildoers, from predators, from everything that strays from the ordinary, the routine, the repetitive. When asked about artificial intelligence's place in our lives, it usually activates the same sensors in people, eliciting the same response. It's the robots we read about in books, that we see in films.

Scarcity of labeled data is one of the most frequent problems faced in machine learning. This is particularly true in relation extraction in text mining, where large corpora of texts exists in many application domains, while labeling of text data requires an expert to invest much time to read the documents. Overall, state-of-the art models, like the convolutional neural network used in this paper, achieve great results when trained on large enough amounts of labeled data. However, from a practical point of view the question arises whether this is the most efficient approach when one takes the manual effort of the expert into account. In this paper, we report on an alternative approach where we first construct a relation extraction model using distant supervision, and only later make use of a domain expert to refine the results. Distant supervision provides a mean of labeling data given known relations in a knowledge base, but it suffers from noisy labeling. We introduce an active learning based extension, that allows our neural network to incorporate expert feedback and report on first results on a complex data set.

MGM is developing the sequel "RoboCop Returns" with "District 9" and "Elysium" filmmaker Neill Blomkamp to direct. The film will be a sequel to Paul Verhoeven's 1987 original about a cyborg police officer in a crime-ridden Detroit. It's to be based on a never-made spec script by the 1987 film's writers, Edward Neumeier and Michael Miner.

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Netflix has just dropped the trailer for its science-fiction thriller Extinction, in which a man's nightmares of losing his family morph into a reality as alien invaders try to wipe out humanity. The movie has a strong cast, including Ant-Man and The Wasp's Michael Peña, Lizzy Caplan and Luke Cage star Mike Colter. Netflix snapped up Extinction after Universal yanked it from its scheduled January release. When Extinction hits Netflix July 27th, the streaming giant will be hoping the flick fares better than The Cloverfield Paradox, which the company bought from Paramount. Netflix gave the latest entry in the Cloverfield series a surprise release just after the Super Bowl, but the sci-fi movie debuted to poor reviews.

Drones come in many shapes and sizes. At their most affordable, drones are fun flying toys. And for industrial uses or professional filmmakers, you've got specialist machines that can run well into tens of thousands of dollars. Parrot's new $700 Anafi falls somewhere in between, balancing a decent camera and plenty of features with a price tag that isn't prohibitively expensive. DJI is the dominant player in drones right now.

What if you could take your photos that were originally taken in low light and automatically remove the noise and artifacts? Have grainy or pixelated images in your photo library and want to fix them? This deep learning-based approach has learned to fix photos by simply looking at examples of corrupted photos only. The work was developed by researchers from NVIDIA, Aalto University, and MIT, and is being presented at the International Conference on Machine Learning in Stockholm, Sweden this week. Recent deep learning work in the field has focused on training a neural network to restore images by showing example pairs of noisy and clean images.

In its early days, the television was a wood-enclosed box that blended in with your existing living room furniture. Its screen was small; plastics and composites weren't yet commonplace. Over time, manufacturing abilities, design trends, and television usage changed. The TV became the focal point of the living room--and it didn't need to blend in anymore. The device lost its homely trappings and evolved into the giant, black, personality-less screen we know today.