AI for Science Company News Overview - Cota Healthcare and Sanofi Collaborate On April 17, Cota Healthcare, a company in the field of oncology analysis, announced a collaboration with Sanofi. The two parties will use AI to […]

In February 2024, the National Cancer Center compiled the report “Cancer Incidence and Mortality in China in 2022” based on the latest data from tumor registration and follow-up monitoring. The report shows that lung cancer is still the leading cause of malignant tumor morbidity and mortality in my country. Although the medical community is paying more and more attention to lung cancer, the diagnosis and treatment of lung cancer […]

Breaking News! Breaking News! Lao Xiang Ji’s “confidential documents” have been made public! Recently, Lao Xiang Ji has released the 200,000-word “Lao Xiang Ji Food Traceability Report” to the public, which clearly describes everything from the source of ingredients to cooking details. It is now available for download on Chao Shen Jing, come and see if there is anything you like! PS: The editor just wants to ask, […]

Almost no additional data collection costs

SUPIR image restoration tool can be applied to the restoration of blurred landscapes, characters, animals, game images, etc.

In order to fill the gap in high-quality Chinese data sets, 10 institutions including the Chinese Academy of Sciences, Zero One Everything, and Peking University jointly developed the COIG-CQIA data set. Surprisingly, the data quality of the "Retarded Post Bar" in this data set is much higher than that of knowledge communities such as Zhihu, Douban, and Think Tank. […]

New achievements, new trends, and new perspectives of AI for Science - * Fujitsu, Japan's leading IT company: Generative AI accelerates drug development * Musk: Neuralink's first brain-computer interface implant plays games with "thoughts" * Merck and AI […]

Li Jing and others from the Beijing University of Aeronautics and Astronautics developed a machine learning ensemble method Viruslmmu for predicting the immunogenicity of viral antigens.

In the past two years, the popularity of big models has continued to rise, and they have begun to be explored in a wider range of fields. With the rapid development of the industry as a whole, more and more open source big models have flooded into the market, further promoting the expansion of upper-level applications. For developers, selecting high-quality big models and data sets is crucial for their subsequent research and development and model fine-tuning.

Geographically weighted regression method effectively integrates neural networks

After ChatGPT, OpenAI released another explosive product - Sora video model. While other models are still struggling to break through the coherence problem within a few seconds, Sora has already extended the video length to 60 seconds. However, the Sora model is currently only used by a small number of researchers and creative […]

Google DeepMind and Liverpool Football Club have jointly launched TacticAI, which uses geometric deep learning methods to provide professionals with tactical insights through predictive and generative models.

AI accelerates drug repositioning

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At present, most of the research results of AI on financial models are trained based on public knowledge. However, in actual financial practice, the interpretability of this public knowledge for the current market is often seriously insufficient. An ideal financial big model should be able to understand news or data events and be able to instantly interpret the events from both subjective and quantitative perspectives.

New achievements, new trends, and new perspectives of AI for Science - * NVIDIA: There are many strategic contents in the field of AI for Science being laid out * Microsoft has joined hands with many medical institutions to launch TRAIN * Overjet has won the dental AI […]

A new milestone in controlled nuclear fusion

Orca-Math is a mathematical reasoning model released by Microsoft Research that demonstrates the value of smaller specialized models in specific areas, which can match or even exceed the performance of larger models. Microsoft recently open-sourced the Orca-Math-200K math word quiz used to train Orca-Math.

5 hours and 7 minutes to complete all analyses

Summary of the 2024 GTC keynote speeches
