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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, […]

Whether it is 3D bioprinting in "Westworld", Luke Skywalker's mechanical arm in "Star Wars", or the virtual world created by AI in "The Matrix", the rich imagination in these science fiction films all reveal the human desire for health and longevity. Nowadays, robotic arms, artificial intelligence, etc. often appear in movies.

"I am happy to watch the red national flag rise in Tiananmen Square in Beijing." If you read this sentence quickly, you may find that only the words "I watch the flag rise in Tiananmen Square" can summarize the information we need. In other words, there is no need to read word by word, and you can decipher all the information by grasping the key points. Then, scientific research […]

Solar photoelectrochemical (PEC) decomposition of water is a method for efficiently converting solar energy into hydrogen energy and is a promising way to produce renewable energy. However, due to the influence of electrode properties and electrode defects, the efficiency of PEC reaction is low and requires the assistance of suitable co-catalysts. The electrolytic cell, photoelectrode and co-catalyst are composed of […]

When it comes to bioinformatics, the most well-known one is AlphaFold. AlphaFold is a deep learning system first released by DeepMind in 2018. It is mainly used to predict protein structure and is regarded by many industry insiders as "completely changing biology". Its […]

In order to further promote the open source and cooperation of big models and guide the healthy and standardized development of the open source big model industry, China Academy of Information and Communications Technology has launched a case collection plan for the "Compilation of Trusted Open Source Big Model Cases (First Phase)". HyperAI will assist in the research of the technical details, application, and application of domestic open source big models as a partner.

Practical advice for practitioners

Since the beginning of the 20th century, the number of wild tigers in the world has dropped by more than 95%, and is listed as a red endangered species by the International Union for Conservation of Nature (IUCN). In recent decades, with the joint efforts of many countries and organizations, the number of wild tigers in the world has rebounded, increasing from 3,200 in 2010 to 2,220 in 2022.

Retrosynthesis aims to find a series of suitable reactants to efficiently synthesize the target product. This is an important method to solve the organic synthesis route, and it is also the simplest and most basic method for organic synthesis route design. Early retrosynthesis research relied on programming, and then this work was taken over by AI. However, existing retrosynthesis methods focus more on single-step reverse […]

Biosensing is an important medium for interaction between humans and machines, humans and the environment, and machines and the environment. Among them, touch can achieve accurate environmental perception and help users interact with complex environments. In order to imitate human touch, researchers have developed various sensors to simulate the skin's perception of the environment. However, tactile sensing has high requirements and parameter changes […]