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How does OpenAI's new "cash cow" make money? The launch of GPT Store has received great attention from users and the media. The media want to explore the deep meaning behind OpenAI's move, and some even directly compare it to Apple's App Store. Perhaps, simply comparing the App Store to guess OpenAI's intention is not accurate and comprehensive enough, so the HyperAI super neural editorial team started a bold brainstorming, hoping to catch clues in the GPT Store, which is "like fog, rain and wind".

Cities not only carry people's eager expectations for a peaceful and happy life, but are also an important foundation for supporting various economic activities. From the agricultural age to the industrial age, and then to today's digital age, people have never stopped improving the comfort and safety of cities. In this process, the importance of urban planning has become increasingly prominent.
The research team of Tsinghua University proposed a reinforcement learning model and method for urban community spatial planning, and realized an urban planning process in which human planners collaborate with artificial intelligence algorithms, providing a new idea for the automated planning of smart cities.

In 1928, the discovery of penicillin gave humans a powerful weapon to defeat pathogenic bacteria for the first time. However, the widespread use of antibiotics has also brought about a huge crisis - antibiotic resistance. The misuse of antibiotics has led to the emergence of certain "super bacteria", which has become an important clinical cause of disease in the 21st century. To solve this problem, it is urgent to develop new antibiotics.

Researchers from MIT developed a deep learning method to discover antibiotics, using the graph neural network Chemprop to identify potential antibiotics from a large chemical library and discovered a new class of antibiotics. This article is an interpretation and sharing of the experimental process →

Author: Li Baozhu Editor: Li Weidong, xixi, The occurrence of the Sanyang earthquake involves many variables, and "prediction" is challenging, but the prediction of the number and intensity of aftershocks has made significant progress. At 23:59 on December 18, 2023, a 6.2 earthquake occurred in Jishishan County, Linxia Prefecture, Gansu Province. […]

Extreme ultraviolet radiation (EUV) not only affects the atmospheric drag of low-Earth orbit satellites, but also poses a threat to human health. Excessive exposure to EUV radiation can lead to vision loss, sunburn, and even serious diseases such as skin cancer. Predicting EUV is inseparable from a complete solar image, but reconstructing the three-dimensional geometric structure of the sun is quite challenging.

In response to this, Benoit Tremblay, a solar physicist at the National Center for Atmospheric Research in Colorado, and his colleagues used the NeRFs neural network to convert a two-dimensional image of the sun into a three-dimensional reconstructed image, revealing the sun's poles for the first time. This article is an interpretation and sharing of the research →

Years pass, and the chapters are renewed. In the past 2023, AI for Science has brought too many surprises and planted the seeds of more imagination. Since 2020, scientific research projects represented by AlphaFold […]

Author: Sanyang, Li Baozhu, Li Weidong, Yudi, xixi Editor: Li Baozhu In the era of big models, machine learning systems are undergoing unprecedented changes. The rapid expansion of model size has allowed us to witness the tremendous improvement of AI capabilities. However, this improvement has not only brought new opportunities to various fields, but also brought new opportunities to various fields.

Author: xixi Editor: Li Baozhu, Sanyang On December 21, 2023, the "Compilation of Trusted Open Source Large Model Case Studies (First Issue)" co-authored by HyperAI was officially launched at the 2024 China Academy of Information and Communications Technology ICT In-depth Observation Report Conference "Open Source and Software Supply Chain Forum" […]

The following article is from OpenBayes Bayesian Computing, author Xiaobei OpenBayes Bayesian Computing. OpenBayes Bayesian Computing is a leading high-performance computing service provider in China. By grafting classic software ecosystems and machine learning models for the new generation of heterogeneous chips, it provides services to industrial enterprises and universities […]

A sneak peek at AI for Science’s new achievements, new developments, and new perspectives: * DeepMind’s latest FunSearch research appears in Nature * Google launches MedLM, a healthcare industry model * Jingtai Technology strives to be listed on the Hong Kong Stock Exchange, empowering AI+robots[…]

Overview: The 2023 Meet TVM Year-End Gathering successfully concluded in Shanghai on December 16th. This meetup not only featured insightful presentations from four AI compiler experts but also included a new roundtable discussion, offering more diverse perspectives for collaborative discussions [...]

PANDA performs slightly better than professional readers

Author: Binbin Editor: Li Baozhu, Sanyang Tsinghua University research team proposed a framework for communication games, demonstrating the ability of large language models to learn from experience, and also found that large language models have non-pre-programmed strategic behaviors such as trust, confrontation, disguise, and leadership. In recent years, AI has been used to play games such as Werewolf and Poker. […]

Explosive AI applications: risks and opportunities coexist In the fields of space and environmental science, AI tools are increasingly being used in a wide range of fields, such as weather forecasting and climate simulation, energy and water resource management, etc. It can be said that we are experiencing an unprecedented explosion of AI applications. Facing the opportunities and risks, we need to think more carefully.

Scientists from DeepMind and EleutherAI have proposed that large models are just role-playing. After ChatGPT became popular, large language models have become the darling of the industry and capital. In the conversations between people, whether they are curious or exploratory, the large language models have shown that […]

With a dataset of 3 million images and 15,000 zebrafish embryos, systems biologist Patrick Müller successfully implemented AI-based embryo recognition. Author: Jialing Editor: Sanyang During animal development, embryos undergo complex morphological changes over time. Researchers hope to […]

Content at a glance: Understanding global crystal symmetry and analyzing equivariant information are crucial for predicting material properties, but existing convolutional network-based algorithms cannot fully meet these requirements. In response to this, Li Huashan and Wang Biao’s research group at Sun Yat-sen University developed a machine learning model called SEN that accurately perceives the intrinsic crystal symmetry.

Apple's Machine Learning Research Center open sources MLX. Is it reinventing the wheel from scratch or reinventing the wheel?

Content at a glance: G protein-coupled receptors (GPCRs) are transmembrane proteins that transmit stimuli outside the cell membrane to the cell membrane and are widely involved in human physiological activities. Recently, researchers at the University of Florida determined the binding selectivity of GPCRs and G proteins and developed an algorithm to predict the selectivity of the two.

AI tool GNoME discovered 2.2 million new crystals, equivalent to 800 years of experimental output by human scientists, of which 380,000 new crystals can become stable materials for future high-tech. From computer chips, batteries to solar panels, they all rely on structurally stable inorganic crystals (inorganic crystals).

In March this year, the first offline event of the 2023 Meet TVM series started from Shanghai and spanned multiple cities, dedicated to providing a learning and communication platform for engineers from all over the world who are concerned about AI compilers. December 16 2023 Meet TVM · Year-end […]

Content at a glance: If the growth conditions of all crops in the field can be determined and predicted in a short period of time, the best harvest date can be set, the number of non-standard size crops can be reduced, and income losses can be minimized. In response to this, researchers from the University of Tokyo and Chiba University have proposed an AI + drone solution. Keywords: Agriculture […]

Content at a glance: Traditional methods for analyzing the interaction between chemical systems and external fields have disadvantages such as low efficiency and high cost. Jiang Bin's research group at the University of Science and Technology of China introduced field-related features in the description of atomic environments and developed FIREANN, which uses machine learning to describe the field correlation of the system. Key […]

The water adsorption isotherm of porous materials is a very important parameter, but it is not easy to obtain this parameter. This is because there are too many types of porous materials and their structures are diverse. It is too costly and time-consuming to obtain water adsorption isotherm data through experiments and calculations. Li Song's research group at Huazhong University of Science and Technology established a two-step machine learning model […]

01 The new export restrictions on chips from the U.S. Department of Commerce to China officially took effect. On November 16, local time, the new export restrictions on chips and semiconductor equipment (hereinafter referred to as chip export restrictions) issued by the Bureau of Industry and Security (BIS) of the U.S. Department of Commerce officially took effect. The new regulations were issued by BIS on October 17 […]

Li Honglin's research group at East China University of Science and Technology developed Macformer based on Transformer. Macformer successfully macrocyclized the acyclic drug feizotinib to obtain a new compound with stronger efficacy, providing a new method for drug development.

Scientific discovery is a complex process involving several interrelated stages, including hypothesis formation, experimental design, data collection and analysis. In recent years, the integration of AI and basic scientific research has become increasingly profound. With the help of AI, scientists have been able to accelerate the progress of scientific research and promote the implementation of scientific research results. The authoritative journal "Natural Science" […]

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Inscriptions and steles are the embodiment of the thoughts, culture and language of past civilizations. To decipher the codes of thousands of years ago, epigraphers need to complete three major tasks: text restoration, time attribution and geographical attribution. The mainstream research method is "string matching", which is to match inscriptions with similar fonts by memory or querying corpus, which leads to confusion and misjudgment of the results. […]

Numerical weather forecasting is the mainstream method of weather forecasting. It uses numerical integration to solve the state of the earth system grid by grid, which is a process of deductive reasoning. However, as the resolution of weather forecasts continues to increase and the forecast time gradually increases, the computing power required by the NWP model increases rapidly, limiting its development. On the other hand, […]