Overview AI image generation in 2026 prioritizes control, safety, and real-world usability over experimental creativity.The ...

Generative AI tools are making unauthorised use of vast amounts of copyrighted material, challenging traditional notions of ...

ETRI, South Korea’s leading government-funded research institute, is establishing itself as a key research entity for ...

Abstract: Infrared imaging systems are widely used across industries. However, their output images often exhibit striped noise due to the nonuniform response of the detection system, which ...

For its part, xAI had promoted Grok as a less constrained alternative to rival models, emphasizing reduced censorship and ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Here are the highlights of the year’s AI breakthroughs and discoveries that could set the stage for an even more ...

The most valuable AI systems will not look dramatic. They will look ordinary. They will fade into routine decisions and ...

Gunn is part of a research team at UC Berkeley that has developed an undetectable watermark for generative image models. The ...

Thermaltake's new MAGCurve 360 Ultra ARGB Sync AIO supports the "AI Forge" feature, which allows you to generate custom ...

Abstract: Latent Diffusion Models have emerged as an efficient alternative to conventional diffusion approaches by compressing high-dimensional images into a lower-dimensional latent space using a ...