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Google's DeepMind announced a major breakthrough in hurricane forecasting on Thursday, launching an innovative artificial intelligence system capable of unprecedented precision in predicting the path and intensity of tropical cyclones. This achievement solves long-standing challenges faced by traditional meteorological models for decades. At the same time, DeepMind also launched "Weather Lab", an interactive platform to showcase its experimental cyclone prediction model. The model can generate up to 50 possible storm scenarios 15 days in advance. More notably, De

JD Retail's technology team announced the successful launch of TimeHF, its first self-developed billion-parameter time series model for sales forecasting. This model leverages Reinforcement Learning from Human Feedback (RLHF), applying it for the first time to sales forecasting. The accuracy of predictions has been significantly improved by over 10%, substantially reducing uncertainty in demand forecasting. This achievement has demonstrated excellent performance in JD's internal automated replenishment scenarios for 20,000 products.

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 November 29, the China Meteorological Administration's Huafeng Meteorological Media Group, in collaboration with Alipay, officially launched the first national-level weather smart assistant – 'China Weather Assistant'. This smart assistant uses authoritative meteorological data provided by the China Meteorological Administration, combined with the Ant AI model and Alipay's government AI solutions, to offer users a variety of helpful services including weather inquiries, clothing recommendations, and meteorological education. Users can experience the 'China Weather Assistant' by pulling down on the Alipay homepage or downloading the Zhixiaobao APP. The 'China Weather Assistant' connects data from over 2,400 meteorological stations nationwide.

Recently, Microsoft announced that its email client Outlook will introduce a new feature called 'Copilot Themes,' which is an AI-driven theme customization option aimed at providing users with a more personalized visual experience. This feature requires support from Copilot Pro or enterprise licenses, allowing users to add a unique look to Outlook. This AI-driven theme feature will be available on Windows, macOS, iOS, and Android.

Alibaba's DAMO Academy (Lakeside Laboratory) has announced a significant breakthrough in Beijing: the 'Baguan' meteorological big model developed based on global meteorological models. This innovative model, named 'Baguan' (meaning 'Insight from All Directions, Observing All Phenomena'), elevates weather forecasting accuracy to unprecedented levels. The most remarkable feature of this meteorological big model is its ultra-high accuracy. By integrating multi-source regional data, the model achieves an ultra-fine prediction resolution of 1 km × 1 km × 1 hour. In practical applications, this model predicts key meteorological indicators with greater accuracy compared to traditional forecasts.

NVIDIA has released StormCast, a generative AI model designed for high-fidelity atmospheric dynamics simulations, aiming to accurately predict mesoscale weather, which is crucial for disaster planning and mitigation. This model made its debut in papers co-authored with research institutions, providing groundbreaking predictive capabilities for frequently occurring extreme weather events, such as the over $150 billion annual losses in the U.S. StormCast is part of the NVIDIA Earth-2 digital twin cloud platform, integrating AI, physics simulations, and computer graphics.

Perceptive Space, a startup based in Toronto, Canada, has announced its emergence from stealth mode with a $2.8 million funding round aimed at significantly enhancing the accuracy of space weather predictions through artificial intelligence technology. The company plans to develop an innovative platform to address changes in the space environment, particularly concerning the safety of satellite operations, communication systems, and ground power grids. Compared to existing forecasting agencies like the National Oceanic and Atmospheric Administration (NOAA), Perceptive Space's prediction accuracy is expected to reach

Recently, Google has made a remarkable breakthrough in the field of weather forecasting. They have developed a new atmospheric circulation model called NeuralGCM, which boasts a computational efficiency that is 100,000 times higher than traditional physical models, equivalent to the progress made in high-performance computing over the past 25 years.By combining machine learning with physical modeling, NeuralGCM performs both rapidly and accurately in simulating Earth's atmosphere. The results of

The generative AI tool Make Designs recently launched by design software company Figma has sparked controversy due to its striking similarity to Apple's iOS weather app. Andy Allen, CEO of Not Boring Software, highlighted this similarity on social media, raising concerns about potential legal risks. Figma's CEO, Dylan Field, responded quickly, acknowledging that the company rushed into releasing this feature. He emphasized that Make Designs was not trained on Figma's content or app designs, and