We present GameNGen, the first game engine powered entirely by a neural model that enables real-time interaction with a complex environment over long trajectories at high quality. GameNGen can interactively simulate the classic game DOOM at over 20 frames per second on a single TPU. Next frame prediction achieves a PSNR of 29.4, comparable to lossy JPEG compression. Human raters are only slightly better than random chance at distinguishing short clips of the game from clips of the simulation. GameNGen is trained in two phases: an RL-agent learns to play the game and the training sessions are recorded, and a diffusion model is trained to produce the next frame, conditioned on the sequence of past frames and actions. Conditioning augmentations enable stable auto-regressive generation over long trajectories.
The cost effectiveness of bots is key to the magnitude of impact of the Economic Singularity. Watch this cheap bot as companies find profitable use cases and unemployment rises.
Unitree unveiled a new video of its G1 robot performing acrobatic feats, as part of its lead up to production.
What does the future hold? What will become of this planet and its inhabitants in the centuries to come? We are living in a historical period that sometimes feels like the prelude to something truly remarkable or terribly dire about to unfold. This captivating video seeks to decipher the signs and attempt to construct plausible scenarios from the nearly nothing we hold in our hands today. As always, it will be scientific discoveries leading the dance of change, while philosophers, writers, politicians, and all the others will have the seemingly trivial task of containing, describing, and guiding. Before embarking on our journey through time, let me state the obvious: No one knows the future! Numerous micro and macro factors could alter this trajectory—world wars, pandemics, unimaginable social shifts, or climate disasters. Nevertheless, we’re setting off. And we’re doing so by discussing the remaining decades of the century we’re experiencing right now.
Summary: Researchers developed a brain-inspired AI technique using neural networks to model the challenging quantum states of molecules, crucial for technologies like solar panels and photocatalyst.
This new approach significantly improves accuracy, enabling better prediction of molecular behaviors during energy transitions. By enhancing our understanding of molecular excited states, this research could revolutionize material prototyping and chemical synthesis.
Discover how NGate, a new Android malware, steals contactless payment data using NFC relay attacks. Learn about the latest cybersecurity threat target.
Simulating particles is a relatively simple task when those particles are spherical. In the real world, however, most particles are not perfect spheres, but take on irregular and varying shapes and sizes. Simulating these particles becomes a much more challenging and time-consuming task.
Organoid intelligence (OI) is an emerging scientific field aiming to create biocomputers where lab-grown brain organoids serve as ‘biological hardware’
In their article, published in Frontiers in Science, Smirnova et al., outline the multidisciplinary strategy needed to pursue this vision: from next-generation organoid and brain-computer interface technologies, to new machine-learning algorithms and big data infrastructures.