Facing the direct impact of video quality on viewing experience, especially regarding the presentation of facial details, current methods such as simply applying super-resolution networks to face datasets or independently processing each frame often struggle to balance the detail of facial reconstruction with temporal consistency. To address this challenge, the research team at Nanyang Technological University has launched the innovative framework KEEP, which utilizes the principles of Kalman filtering to achieve a 'memory' capability in facial restoration, significantly enhancing the consistency and continuity of facial details during the restoration process. The KEEP framework consists of four key modules: Encoder, Decoder, Kalman.

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.

Large hospitals are actively experimenting with generative artificial intelligence technologies, which are viewed as capable of fundamentally transforming certain aspects of care services and saving costs. Healthcare institutions are racing to adopt generative AI, but regulatory agencies are struggling to keep pace with technological advancements, leading to challenges in risk and liability. The potential risks and unknowns posed by generative AI complicate regulatory efforts, placing regulators in a dilemma regarding the management of new technologies.

The UK House of Commons Technology Committee has stated that the UK government's approach to AI regulation lags behind that of the EU and the US. Lawmakers are urging the UK government to formulate an AI bill, or risk falling further behind other jurisdictions in AI regulation. They hope that the AI Safety Summit in November will include participation from as many countries as possible.