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Earth System Models are crucial tools for predicting environmental changes, helping us better prepare for the future. However, these models have extremely high computational demands, limiting their operation at fine enough resolutions. Currently, most models operate at a resolution of approximately 100 kilometers, equivalent to the size of Hawaii, making accurate predictions for specific regions difficult. Nevertheless, for practical applications such as agriculture, water resource planning, and disaster response, city-scale prediction accuracy around 10 kilometers is vital. Therefore, improving the resolution of these models is essential for better protection.

Recently, Sam Altman, CEO of OpenAI, published a new blog post, predicting that AI technology has crossed a critical threshold and will witness major breakthroughs in the coming years. From AI systems that discover novel insights in 2026 to robots capable of executing tasks in the real world by 2027, up to the great abundance of intelligence and energy in the 2030s, Altman's vision has sparked global discussions. The AIbase editorial team has compiled the latest information to provide you with an in-depth analysis of this blueprint for the future of AI and its impact on the world.

In his latest report, Wells Fargo securities analyst Ken Gawrelski made a striking prediction: By 2030, ChatGPT will capture 30% of the global search advertising market, with annual revenue approaching $100 billion. This forecast suggests that competition between OpenAI and Google in the search market will intensify further. The report notes that the entire search advertising market is expected to grow at an 8% compound annual growth rate over the next few years, reaching $340 billion by 2030.

Sarah Frueh, CFO of OpenAI, recently revealed at the Dublin Tech Summit that the company's ongoing organizational restructuring is paving the way for a possible initial public offering (IPO). Although OpenAI is actively preparing, whether it can successfully go public depends on both the company's own preparation and the overall atmosphere of the capital market. Image source note: Images generated by AI, images authorized service provider Midjourney. Frueh mentioned Microsoft's investment in OpenAI.

Artificial intelligence is sparking a revolutionary change in the financial sector! A newly popular open-source AI financial analysis tool called FinRobot has been causing a sensation recently. By leveraging its multi-agent collaborative system and multi-modal data processing capabilities, it provides powerful support for financial needs such as trading prediction, investment portfolio optimization, report generation, and risk early warning. AIbase analyzes in-depth how FinRobot helps the financial industry step into the smart new era. Multi-agent collaboration, precise analysis of financial data. The core of FinRobot lies in its...

Researchers from Hong Kong and the UK have recently proposed a novel image tokenization method designed to convert images into digital representations (tokens) in a more compact and accurate manner. Unlike traditional methods that distribute information uniformly across all tokens, this method employs a hierarchical structure, capturing visual information layer by layer, thereby improving the quality and efficiency of image reconstruction. Traditional image tokenization techniques typically divide each part of an image equally into multiple tokens, whereas the new method adopts a hierarchical structure. Initial tokens encode rough shapes and structural elements,

AI is revolutionizing life sciences. Biocomputing company ProFluent recently launched ProGen3, a powerful generative protein language model (PLM) poised to drive breakthroughs in antibodies, industrial enzymes, and gene editing. Research shows ProGen3's scale and design optimizations enable the generation of highly functional novel proteins, potentially reshaping our understanding of biology. Proteins are vital molecules within living organisms, responsible for diverse physiological functions, from catalyzing reactions to recognition.

With the rapid advancement of AI technology, predictions about the future are increasingly captivating. The newly released AI2027 scenario report, compiled by a team of researchers and forecasting experts from OpenAI, the Center for AI Safety, and other institutions, provides detailed predictions for the next 2-3 years, outlining upcoming technological milestones in the field of artificial intelligence. Image note: Image generated by AI, image licensing provider Midjourney. The report makes a striking prediction: the achievement of Artificial General Intelligence by 2027.

Hangzhou-based medical AI company, MeiYin Intelligence Technology Co., Ltd., recently announced it has secured millions of yuan in seed funding. The funding will primarily be used for R&D and commercialization of its core product. The round was led by Zhuoyuan Asia, with participation from Xihu Government Direct Investment Fund. MeiYin Intelligence focuses on leveraging AI to predict disease risk and promote health management. Its core product, based on its self-developed DP-LLM large model, supports the processing of multimodal medical data to accurately quantify an individual's future disease risk, covering hundreds of diseases and more.

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...

Artificial intelligence is rapidly transforming protein discovery and design in biotechnology. Recently, a collaborative team from UC Berkeley and Caltech developed ProteinDT, a novel multimodal framework leveraging text descriptions to aid in protein design. This innovative approach integrates protein sequence and structural information with a wealth of biological knowledge represented in text, opening a new chapter in protein design.

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.

Recently, the world's first 'Humanoid Robot' Protoclone has garnered widespread attention on social media. This robot not only features an exquisite design but also possesses a muscle and skeletal structure, which is astonishing. In a captivating video, Protoclone hangs quietly on a frame, and as time passes, it begins to twitch and move, ultimately activating its limbs and displaying an extremely human-like posture. Protoclone was created by the tech startup Clone Robotic.