Grab your popcorn—2026 is going to be a huge year for sci-fi fans. Big stories are hitting the big screen, from survival epics on a ruined Earth to time-bending adventures and eerie tales of AI love gone wrong. Some are fresh takes, others are long-awaited sequels, but all promise to keep you talking long after the credits roll. Here are five sci-fi movies you’ll want to mark on your calendar.
Release Date: January 9, 2026
Director: Kate Dolan
Stars: Lily Sullivan, David Rysdahl and Claudia Doumit
Soulm8te will take you to a dark AI universe. The film follows a grieving man who turns to an AI android to ease the pain of losing his wife. At first, the relationship feels like a second chance at love, but the bond soon spirals into a dangerous romance.
Noting how companion-style robots already exist in parts of the world, Wan and executive producer Allison Williams wanted to reimagine technology in the form of a female humanoid built for intimacy. Wan, who also directed M3GAN 2.0, another chilling story centered on an AI doll, brings that same unsettling vision to Soulm8te. Ultimately, what begins as comfort soon twists into obsession, turning desire into a deadly consequence.
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Release Date: January 9, 2026
Director: Ric Roman Waugh,
Stars: Morena Baccarin, Amber Rose Revah, Sophie Thompson, Trond Fausa Aurvåg
Back in 2020, Greenland introduced audiences to John Garrity (Gerard Butler), a father racing against time to save his family as fragments of a comet threatened to wipe out life on Earth. The story ended with humanity’s last hope lying in survival bunkers deep in Greenland.
The sequel, Greenland: Migration, picks up several years later as the Garrity family emerges from shelter into a devastated world. Now set in post-apocalyptic Europe, John must lead his family across a dangerous wasteland in search of a new home. With survival once again at stake, the journey promises both peril and resilience.
Release Date: March 20, 2026
Director: Phil Lord & Chris Miller
Stars: Ryan Gosling, Milana Vayntrub, Sandra Hüller
Andy Weir’s sci-fi novel Project Hail Mary (from the author of The Martian) is headed to the big screen, with Ryan Gosling starring as Ryland Grace. Once a junior high science teacher, Grace wakes up inside a spaceship with no memory of who he is or why he’s there. He’s been in a coma for nearly four years, kept alive by advanced robotic arms that fed and rotated his body. Slowly, he recalls the truth: this is a suicide mission, with no fuel or food to bring him back home.
Turns out, his path to space began when Eva Stratt, head of a global task force, recruited him after reading his paper on alien survival without water. Now Grace must stop a deadly infestation of star-eating microbes called “astrophage” before they wipe out life on Earth.
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Where smarter storage meets smarter logistics.
Updated
December 3, 2025 4:06 PM
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Kioxia's flagship building at Yokohama Technology Campus. PHOTO: KIOXIA
E-commerce keeps growing and with it, the number of products moving through warehouses every day. Items vary more than ever — different shapes, seasonal packaging, limited editions and constantly updated designs. At the same time, many logistics centers are dealing with labour shortages and rising pressure to automate.
But today’s image-recognition AI isn’t built for this level of change. Most systems rely on deep-learning models that need to be adjusted or retrained whenever new products appear. Every update — whether it’s a new item or a packaging change — adds extra time, energy use and operational cost. And for warehouses handling huge product catalogs, these retraining cycles can slow everything down.
KIOXIA, a company known for its memory and storage technologies, is working on a different approach. In a new collaboration with Tsubakimoto Chain and EAGLYS, the team has developed an AI-based image recognition system that is designed to adapt more easily as product lines grow and shift. The idea is to help logistics sites automatically identify items moving through their workflows without constantly reworking the core AI model.
At the center of the system is KIOXIA’s AiSAQ software paired with its Memory-Centric AI technology. Instead of retraining the model each time new products appear, the system stores new product data — images, labels and feature information — directly in high-capacity storage. This allows warehouses to add new items quickly without altering the original AI model.
Because storing more data can lead to longer search times, the system also indexes the stored product information and transfers the index into SSD storage. This makes it easier for the AI to retrieve relevant features fast, using a Retrieval-Augmented Generation–style method adapted for image recognition.
The collaboration will be showcased at the 2025 International Robot Exhibition in Tokyo. Visitors will see the system classify items in real time as they move along a conveyor, drawing on stored product features to identify them instantly. The demonstration aims to illustrate how logistics sites can handle continuously changing inventories with greater accuracy and reduced friction.
Overall, as logistics networks become increasingly busy and product lines evolve faster than ever, this memory-driven approach provides a practical way to keep automation adaptable and less fragile.