China is leading the world on AI governance: other countries must engage

President Trump has announced a significant policy shift allowing Nvidia to sell its advanced H200 AI chips to approved customers in China, effectively lifting a previous export ban imposed due to national security concerns. This decision includes a 25% surcharge on sales, which experts have criticized as illogical given the context of the deal.

The Bay Area is poised to play a crucial role in the Genesis Mission, a multibillion-dollar initiative launched by the Trump administration aimed at enhancing the United States' artificial intelligence capabilities amid growing competition from China. This mission will leverage federal scientific datasets to train AI models and develop AI agents, marking a significant government effort to boost innovation in this critical sector.

US startups, including Oakland-based Brimstone, are intensifying efforts to develop domestic sources of critical raw materials essential for technology, an area historically dominated by China. This initiative is part of a broader strategy to enhance supply chain resilience and reduce dependence on foreign sources.

DeepSeek, a Chinese AI startup, is reportedly developing its next AI model using several thousand Nvidia Blackwell chips that were smuggled into China through third-party countries. This development raises concerns regarding compliance with international trade regulations and the implications of using restricted technology.

The former chief executive of Nexperia, a Dutch semiconductor company, revealed that Dutch officials were aware for years of the company's Chinese owner’s intentions to transfer technology to China. This revelation follows the Dutch government's seizure of Nexperia in September, amid rising concerns over technology security.

A recent study highlights the integration of Machine Learning (ML) and Deep Learning (DL) with Digital Signal Processing (DSP) and Digital Image Processing (DIP), showcasing transformative applications in image enhancement, filtering techniques, and pattern recognition. The research emphasizes the use of frameworks like Discrete Fourier Transform (DFT) and Python for real-time data processing.

A recent study highlights the significance of Machine Unlearning in enhancing privacy within Machine Learning models. By enabling the selective removal of data from trained models, techniques such as Naive Retraining and Exact Unlearning via the SISA framework are evaluated for their computational costs and feasibility using the HSpam14 dataset. The research emphasizes the integration of unlearning principles into Positive Unlabeled Learning to tackle challenges posed by partially labeled datasets.

China has added AI chips from domestic companies, including Huawei and Cambricon, to its government-approved supplier list for the first time, coinciding with the Trump administration's decision to allow Nvidia to export its H200 AI chips to China. This marks a significant shift in China's approach to AI technology procurement amid ongoing geopolitical tensions.