Search AI Products and News

Google recently released a new version of its Gemma3 series, exciting many AI enthusiasts. Just a month after its initial launch, Google released a Quantization Aware Training (QAT) optimized version of Gemma3, aiming to significantly reduce memory requirements while maintaining model quality. Specifically, the QAT-optimized Gemma3 27B model reduces VRAM requirements from 54GB to 14.1GB, meaning users can now run it on a single NVIDIA RTX 3090.

Recently, researchers developed an AI model named DIAMOND (Diffusion for World Modelling) that can simulate the popular computer game Counter-Strike: Global Offensive (CS:GO) within a neural network. This model runs on a single Nvidia RTX 3090 graphics card, achieving a speed of 10 frames per second. Although the frame rate is not very high, this achievement is still impressive in the field of AI simulation. DIAMOND's training

A remarkable breakthrough in AI has recently garnered widespread attention in the gaming and tech communities. A research team has successfully developed an AI model named DIAMOND (Diffusion for World Modelling) that can simulate a simplified version of Counter-Strike: Global Offensive (CS:GO) within a neural network. This innovative achievement not only showcases the tremendous potential of AI in the field of game simulation but also provides new ideas for constructing future virtual worlds. One significant feature of the DIAMOND model...