MRI images have long been a significant challenge in medical imaging analysis due to their complexity and large data volume. To train large language models (LLMs) for MRI analysis, developers have had to slice the captured images into 2D images. While this approach is feasible, it limits the model's ability to analyze complex anatomical structures, particularly in intricate cases such as brain tumors, skeletal diseases, or cardiovascular conditions. Image source note: Image generated by AI, licensed by Midjourney. However, GE Healthcare this year...

Today, Deepfake is ubiquitous. With the rise of generative AI, the amount of false content online has exploded. According to identity verification platform Sumsub, the number of Deepfakes globally has increased fourfold from 2023 to 2024. By 2024, Deepfake will account for 7% of all fraud incidents, involving everything from identity impersonation and account theft to complex social engineering attacks. To effectively combat Deepfake, Meta...

At the Amazon Web Services re:Invent conference, Adobe announced a significant partnership with Amazon to extend its Experience Platform to AWS. This collaboration not only transforms how enterprises approach artificial intelligence and customer data management but also signals a profound change in the cloud computing market. As digital commerce continues to evolve, businesses urgently need to enhance customer experience through personalized services. This year's Cyber Monday data shows that mobile devices accounted for 57% of online sales.

At the re:Invent conference on Tuesday, Amazon Web Services (AWS) announced the launch of its new multimodal generative AI model series - Nova. The released Nova series includes four text generation models: Micro, Lite, Pro, and Premier, as well as the image generation model Nova Canvas and the video generation model Nova Reel. Amazon CEO Andy Jassy stated that the Micro, Lite, and Pro models will be available that day.

At the recent annual re:Invent conference held in Las Vegas, Amazon's cloud computing service AWS announced a series of new technologies, highlighting the energy efficiency improvements of its data centers, achieving efficiency levels over four times greater than traditional on-premises computing. AWS head Prasad Kalyanaraman stated that these innovations not only enhance energy efficiency but also flexibly support emerging workloads. Image source note: Image generated by AI, image licensed by service provider Midj.

The Italian Data Protection Authority (GPDP) recently issued a warning to local media group GEDI, indicating that its collaboration agreement with OpenAI, the parent company of ChatGPT, may violate EU privacy protection laws. According to this agreement, GEDI plans to provide its Italian language news content to ChatGPT subscribers, while OpenAI may use GEDI's news archives to enhance the accuracy of its products. The GPDP stressed that GEDI's digital archive contains a significant amount of personal information, including numerous details and even sensitive data.

Amazon has been reported to be developing a multi-modal large language model named 'Olympus', which is expected to be officially announced at the AWS re:Invent conference next week. According to The Information, the internal code name for this algorithm is 'Olympus'. Last November, Reuters reported that Amazon had invested millions of dollars in training a large language model named 'Olympus', with a parameter count reaching 2 trillion.

Amazon recently announced a $110 million investment in AI research to support the development of its own designed Trainium chips. This move aims to reduce Amazon's reliance on Nvidia and promote technological advancements in its cloud computing platform AWS. Note: Image generated by AI, image licensed from service provider Midjourney. Trainium is a machine learning chip tailored for deep learning training and inference tasks. Through this investment, Amazon hopes to encourage academic research.

The New York Times and the Daily News encountered an unexpected twist in their copyright lawsuit: an OpenAI engineer inadvertently deleted virtual machine search data that could have been key evidence, adding a dramatic turn to this high-profile legal dispute. According to a letter submitted to the U.S. District Court for the Southern District of New York on Wednesday night, lawyers and technical experts for the two media companies had previously invested over 150 hours searching OpenAI's AI training dataset. However, on November 14, an OpenAI engineer accidentally deleted data stored on the virtual machine.

Recently, researchers from ByteDance Research Institute and Tsinghua University jointly released a new study, pointing out that current AI video generation models, such as OpenAI's Sora, while capable of creating stunning visual effects, have significant flaws in understanding basic physical laws. This study has sparked widespread discussion on the capabilities of AI in simulating reality. The research team tested AI video generation models under three different scenarios: predictions under known patterns and predictions under unknown patterns.