Recently, at the 12th Digital Finance and Technology Finance Conference, part of the Zhongguancun Forum series of events, Ant Group's Deepfake detection solution was selected as a “Financial Technology Innovation and Application Case.” Leveraging its Tiantong Laboratory, Ant Group has constructed the first large-scale, high-quality, multi-modal Deepfake dataset in the industry, synthesizing over a million multimedia contents that fully simulate Deepfake attack samples in real-world financial risk control environments, becoming a benchmark for evaluating existing Deepfake detection in the financial sector.

Recently, the Italian data protection authority announced a €15 million fine on OpenAI's AI chatbot ChatGPT. This decision was made following an investigation launched in March 2023, which found that OpenAI violated privacy protection regulations in multiple areas. Image source note: the image is generated by AI, image authorized by service provider Midjourney. The investigation indicated that OpenAI made significant errors in handling personal data. Firstly, the company failed to promptly report data breach incidents.

Databricks, a startup based in San Francisco, USA, recently announced it has successfully raised $10 billion in funding, bringing the company's valuation to $62 billion. This news reflects strong investor interest in the field of artificial intelligence, particularly in the growing demand for investments in generative AI. Founded in 2013 by students from the University of California, Berkeley, Databricks focuses on providing cloud computing platforms to help enterprises manage data using artificial intelligence technologies.

With the surge in demand for artificial intelligence and large-scale data processing, data centers, as the infrastructure for these operations, are having an increasingly negative environmental impact. A recent research report delves into the environmental and regulatory issues associated with AI data centers, highlighting the urgent need for improvements in the current policy framework to address the growing consumption of energy and water resources. Image source note: The image is generated by AI and licensed through the service provider Midjourney. The research report emphasizes significant gaps in the current approaches of the EU and the US in this field, calling for countries to develop more robust regulations.

According to the Globe and Mail, the Canadian federal government is considering introducing incentives of up to CAD 15 billion to encourage major domestic pension funds to invest in AI data centers powered by green energy. This proposal was made during private consultations with pension funds and may be considered as part of the government's fall economic statement. Image source note: Image generated by AI, image authorized by service provider Midjourney. With the rapid development of AI technology, platforms like OpenAI's ChatGPT.

Microsoft announced that its Phi series of generative AI models has a new member - Phi-4. Compared to previous versions, Phi-4 shows improvements in several areas, particularly in solving mathematical problems, thanks to the enhanced quality of training data. As of Thursday evening, access to Phi-4 is relatively limited, available only on Microsoft's newly launched Azure AI Foundry development platform and restricted to research purposes under the Microsoft Research Licensing Agreement. Image source note: Image generated by AI, image licensed.

Harvard University announced on Thursday the release of a high-quality dataset containing nearly one million public domain books, which anyone can use to train large language models and other AI tools. This dataset was created by Harvard's newly established Institutional Data Initiative and is funded by Microsoft and OpenAI. The included books are all works scanned by the Google Books Project that are no longer under copyright protection.

Meta is investing $10 billion to build a large AI data center in Richland Parish, Louisiana. This data center will be the largest of Meta's 20 data centers, with construction expected to begin this month and continue until 2030. It is reported that it will be optimized to support Meta's AI workloads, aiding in the operation of Meta's technologies including Facebook, Messenger, Instagram, WhatsApp, and Threads.

In the digital age, computer chips are getting smaller, but computing problems are becoming larger. With the continuous advancement of AI models, energy consumption and computing demands in data centers are growing exponentially. IBM's recent breakthrough in optical technology promises to transform this situation. Traditional data centers face two major technical bottlenecks: the limitations of copper wire transmission and electronic transmission speeds. Currently, most CPUs are largely idle, simply waiting for data packets to be transmitted. This represents a significant waste of computing resources. Image source note: Image generated by AI, image licensed.

Recently, Marvell Technology's market capitalization briefly exceeded $100 billion, marking the rise of this small chipmaker in the tech sector. Since 2016, CEO Matt Murphy has led the company to significant success in the rapidly growing data center chip market. Murphy stated that he did not want to take over a chip company ten times the size of his own, as this choice is not only smarter but also appears more ambitious.

According to South Korean media The Elec, Apple has recently requested Samsung to start researching a new packaging method for Low Power Double Data Rate (LPDDR) DRAM in order to further enhance the edge AI performance of the iPhone. This requirement marks Apple's continued efforts to enhance the AI capabilities of its devices. Currently, Apple's iPhone uses a Package on Package (PoP) solution, stacking LPDDR DRAM directly on top of the System on Chip (SoC), a design that has been in use since 2010.