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Zhejiang University, in collaboration with vivo, has launched a revolutionary video virtual try-on model called MagicTryOn. Its outstanding spatiotemporal consistency, clothing detail fidelity, and generalization capability have sparked industry discussions. This innovative technology not only supports image and video fitting but also achieves realistic clothing effects in complex scenes and during large movements, opening up new possibilities for e-commerce, fashion, and virtual content creation. A global first: MagicTryOn, the video try-on framework based on diffusion Transformer, discards the traditional U-Net architecture.

At the 7th Beijing Zhiyuan Conference, Wang Xingxing, CEO of Unitree Technology, publicly stated that the ultimate goal the company has always adhered to is to make robots work - whether in household scenarios or industrial applications. Dancing and fighting are just training methods and technical verifications on the way to achieve this goal. We hope to empower humanoid robots through AI, enabling them to complete various full-body movements and eventually handle practical tasks such as serving tea and cooking meals. Wang Xingxing pointed out that currently, through embodied intelligence demonstrations such as fighting and dancing by Unitree Technology, they are actually training and testing robots' ability to...

Japanese startup Carelogy has partnered with a Japanese university to develop an app called 'CatsMe!' This program uses artificial intelligence (AI) technology to provide cat owners with a new way to understand and care for their beloved pets.

Alibaba's Tongyi Laboratory has released an AI animation project called Animate Anyone, which generates animated videos of characters using just a static image and skeletal animation. Cats dancing to 'Tie Shan Kao' have become a viral sensation online.

Due to the characteristics of neural networks, they are susceptible to adversarial attacks. Google DeepMind's latest research shows that human judgment is also influenced by these adversarial perturbations. What is the relationship between the human neural network and artificial neural networks? Research suggests our previous understanding may be incorrect! Human judgment is also affected by these adversarial perturbations.