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Tencent ARC Lab, in collaboration with City University of Hong Kong, recently unveiled AnimeGamer, an innovative research project. This unique tool enables infinite anime life simulation and possesses the powerful ability to predict the next game state. This means users can immerse themselves in their favorite anime worlds in unprecedented ways, interacting with dynamic environments in real-time through open-ended natural language commands. Become the anime protagonist and enjoy limitless interaction. AnimeGamer's most notable feature is...

Recently, the National Astronomical Observatories of China (NAOC) and Alibaba Cloud jointly announced the launch of Jinwu, the world's first solar large model, marking a significant step in the deep integration of solar physics research and artificial intelligence technology. The model, built on Alibaba Cloud's open-source Tongyi Qianwen framework, boasts a prediction accuracy exceeding 91% for M5-class solar flares, achieving the highest global level for this type of prediction. This achievement not only improves the accuracy of space weather forecasting but also provides new techniques for addressing the potential terrestrial impacts of solar activity.

Accurate power generation forecasting and supply-demand management are crucial for the rapid development of the new energy industry. On March 26, Ant Group released its new energy power time series large model – EnergyTS. This model aims to help companies optimize their business strategies and improve operational efficiency through high-precision data analysis. EnergyTS demonstrates particularly strong performance in photovoltaic scenarios, surpassing Google's TimesFM-V2.0 and Amazon's Chronos-Lar in power generation prediction accuracy.

On March 26th, at the Spring Summit of the New Energy Digital Asset Community in Suzhou, Ant Group officially launched EnergyTS, a time-series model for energy and power. This marks a significant breakthrough for Chinese companies in the field of energy AI. Specifically designed for the new energy sector, EnergyTS demonstrated significantly higher accuracy in photovoltaic power generation prediction compared to leading international general-purpose time-series models such as Google's (TimesFM-V2.0) and Amazon's (Chronos-Large). In T+1 day prediction, the model's mean absolute error is only...

The University of Science and Technology of China (USTC) recently announced a significant breakthrough. Professor Sun Cheng's research group and collaborators have successfully developed the "TIMES" scoring system for predicting liver cancer recurrence, and have translated it into a publicly available, free AI diagnostic tool. The findings were published in the international academic journal Nature on March 13th, Beijing time. Liver cancer, the third leading cause of cancer-related deaths globally, has a recurrence rate of up to 70% after surgical resection. Accurate prediction of liver cancer recurrence has long been a medical challenge. The spatial distribution of immune cells in the tumor microenvironment significantly impacts patient prognosis, but previously...

Microsoft recently open-sourced a new multimodal AI Agent foundation model called "Magma" on its official website. This novel AI boasts the ability to traverse both the digital and physical worlds, processing various data types such as images, videos, and text simultaneously. Unlike traditional AI assistants, Magma's unique capability lies in its psychological prediction function, allowing for more accurate understanding of the intentions and future behavior of individuals or objects within videos. Magma's applications are vast; users can leverage this AI for a wide range of tasks.

Crunchbase announced that it will abandon its role as a historical data provider and transform into an AI-driven prediction engine. This new platform will be able to predict startup funding rounds, acquisitions, and growth trajectories with an accuracy of up to 95%, marking a significant strategic shift for Crunchbase. Crunchbase CEO Jagger McConnell stated in an interview that the traditional historical data industry is in decline. He believes that data companies relying solely on historical data...

Quantum computing is rapidly becoming a new opportunity in the field of Artificial Intelligence (AI). Recently, AI has emerged as the biggest investment hotspot in the tech industry, with semiconductor stocks benefiting greatly from their critical role in generative AI applications. However, the quantum computing sector has started to attract investor attention, becoming a new focus for investment. Note: Image generated by AI, image licensed through Midjourney. According to recent market trends, many quantum computing companies' stocks have experienced significant growth by the end of 2024.

At the recent Qianfan Think Tank Life Sciences Forum, Baidu Smart Cloud launched the new biocomputing model tool HelixFold 3. This tool was co-developed by Baidu's PaddleHelix team and the CHPC High-Performance Computing Platform team, aiming to provide more accurate, efficient, and convenient solutions for life sciences research. The release of HelixFold 3 marks another technological breakthrough in the field of biocomputing. This model is particularly focused on RNA structure prediction and covalent modification.

ViTPose is an open-source action estimation model that excels at recognizing human postures, as if it can understand the actions you are performing. The standout feature of this model is its simplicity and efficiency; it does not use complex network structures but directly employs a technique called Vision Transformer. The core of ViTPose uses a pure Vision Transformer, which acts like a powerful 'skeleton' to extract key features from images. Unlike other models, it does not require complexity.

Billionaire Elon Musk recently shared his latest predictions about artificial intelligence (AI) on his social media platform X, stating that AI technology will make remarkable progress in the coming years. He expects that by the end of 2025, AI intelligence will surpass that of any single individual, and by 2027 to 2028, AI may even surpass the intelligence of all humans. Musk's prediction has sparked widespread interest, with many shocked by the rapid development and potential impact of AI. In his post, Musk pointed out that current human understanding of AI...

Recently, a research team has released a new image super resolution (SR) technology based on Diffusion Inversion, aimed at enhancing image resolution and clarity by fully utilizing the image prior information within large pre-trained diffusion models. This research was jointly completed by three scholars from different academic institutions, who aim to bring new breakthroughs to the field of image super resolution. In this technology, the researchers designed a method called 'Partial Noise Prediction'.

According to the latest forecast from research firm IDC, global spending on artificial intelligence (AI) technologies is expected to reach $337 billion by 2025, and this figure is projected to double to $749 billion by 2028. As IT leaders across industries continue to drive the implementation of AI strategies, future application scenarios will be increasingly diverse. Image source credit: Image generated by AI, image provided by licensing service provider Midjourney. In line with this trend, more and more companies are starting to experiment with generative AI.