Alex Garland continues to cultivate his reputation as one of the most exciting and challenging voices in modern science fiction cinema.

Annihilation is an upcoming science fantasy action horror film written for the screen and directed by Alex Garland based on the novel of the same name by Jeff VanderMeer. The film stars Natalie Portman, Jennifer Jason Leigh, Gina Rodriguez, Tessa Thompson, Tuva Novotny, and Oscar Isaac.

Having previously written screenplays for cult classics like 28 Days Later and Dredd, Garland’s Ex Machina is arguably the definitive film about artificial intelligence (and killer robots) of the 21st century. And that was only his directorial debut.

The robots are coming for your … chess game.

Google’s AI, AlphaZero, developed a “superhuman performance” in chess in just four hours.

Essentially, the AI absorbed humanity’s entire history of chess in one-sixth of a day — and then figured out how to beat anyone or anything.

After being programmed with the rules of the game (not the strategy) AlphaZero played 100 games against Stockfish, the world champion chess program. AlphaZero won 25 playing as white (which has first-mover advantage) and three games playing as black. The last 72 games were a draw with AlphaZero recording no losses and Stockfish recording no wins.

Awesome!

A few months after demonstrating its dominance over the game of Go, DeepMind’s AlphaZero AI has trounced the world’s top-ranked chess engine—and it did so without any prior knowledge of the game and after just four hours of self-training.

AlphaZero is now the most dominant chess playing entity on the planet. In a one-on-one tournament against Stockfish 8, the reigning computer chess champion, the DeepMind-built system didn’t lose a single game, winning or drawing all of the 100 matches played.

And it shreds.

Artificial intelligence could be the powerful tool we need to solve some of the biggest problems facing our world, argues Raia Hadsell. In this talk, she offers an insight into how she and her colleagues are developing robots with the capacity to learn. Their superhuman ability to play video games is just the start.

Raia Hadsell is a research scientist on the Deep Learning team at DeepMind. She moved to London to join DeepMind in early 2014, feeling that her fundamental research interests in robotics, neural networks, and real world learning systems were well-aligned with the agenda of Demis, Shane, Koray, and other members of the original team. Raia’s research at DeepMind focuses on a number of fundamental challenges in AGI, including continual and transfer learning, deep reinforcement learning, and neural models of navigation. Raia came to AI research obliquely. After an undergraduate degree in religion and philosophy from Reed College, she veered off-course (on-course?) and became a computer scientist. Raia’s PhD with Yann LeCun, at NYU, focused on machine learning using Siamese neural nets (often called a ‘triplet loss’ today) and on deep learning for mobile robots in the wild. Her thesis, ‘Learning Long-range vision for offroad robots’, was awarded the Outstanding Dissertation award in 2009.