No online platform will get a free pass on children's safety on the internet in new plans, Prime Minister Sir Keir Starmer has said. The government is pledging to close loopholes in existing laws designed to protect children online and will consult on a social media ban for under-16s as part of plans for online safety. There are also plans to introduce powers to speedily change the law in response to developing online behaviours, and to update legislation to preserve children's social media and online data - as campaigned for by the group Jools' Law. Opponents accused the government of inaction, and have called for Parliament to be given a vote on the social media ban for children. The government had already said it would launch the public consultation in March, seeking opinions about restricting children's access to AI chatbots and limiting infinite scrolling features for children - also known as doomscrolling.

The government said it would close a legal loophole in the Online Safety Act. The government said it would close a legal loophole in the Online Safety Act. Starmer to announce'crackdown on vile illegal content created by AI' after scandal involving Elon Musk's Grok tool Makers of AI chatbots that put children at risk will face massive fines or even see their services blocked in the UK under law changes to be announced by Keir Starmer on Monday. Emboldened by Elon Musk's X stopping its Grok AI tool from creating sexualised images of real people in the UK after public outrage last month, ministers are planning a "crackdown on vile illegal content created by AI". With more and more children using chatbots for everything from help with their homework to mental health support, the government said it would "move fast to shut a legal loophole and force all AI chatbot providers to abide by illegal content duties in the Online Safety Act or face the consequences of breaking the law".

Correlation mechanism to capture cross-time dependency for forecasting. Besides, the dimension of the channel is set to 16 based on efficiency considerations. Weather, and the look-back window size is set as 96. Proposition 2. The time and space complexity for the Cross-variable GNN is Frequency enhanced decomposed transformer for long-term series forecasting.

To address the above issues, we propose CrossGNN, a linear complexity GNN model to refine the cross-scale and cross-variable interaction for MTS. To deal with the unexpected noise in time dimension, an adaptive multi-scale identifier (AMSI) is leveraged to construct multi-scale time series with reduced noise.

Along with the dataset, two tasks are proposed to evaluate machines'

Top-down Bird's Eye View (BEV) maps are a popular perceptual representation for ground robot navigation due to their richness and flexibility for downstream

Given this wide prevalence of (networks of) oscillators in nature and man-made devices, it is not surprising that oscillators have inspired various machine learning architectures in recent years.

Implicitly or explicitly, this data is composed of domains--varying distributions of language.