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 […]

Peptides are biologically active substances composed of two or more amino acids through peptide bonds, which can form higher-level protein structures through folding and helical formation. Peptides are not only associated with multiple physiological activities, but can also self-assemble into nanoparticles and participate in biological detection, drug delivery, and tissue engineering. However, the sequence composition of peptides is too diverse, with only 10 […]

According to statistics from the World Health Organization, there are 2.2 billion people with visual impairment in the world, including 285 million visually impaired people and 39 million completely blind people. Moreover, this number will continue to increase with the aging population. Although the visually impaired face many inconveniences, assistive devices for the visually impaired are expensive, difficult to maintain, and difficult to operate.

According to statistics from the World Wildlife Fund, from 1970 to 2016, the number of representative species in the world decreased by 68%, and biodiversity continued to decline. To protect biodiversity, it is necessary to accurately analyze the local ecological conditions and formulate reasonable ecological protection policies. However, ecological data is too complex and statistical standards are difficult to unify. […]

Giving Medical Imaging AI an Acceleration

Anomalies in galaxies are key to our understanding of the universe. However, with the development of astronomical observation technology, astronomical data is growing exponentially, exceeding the analytical capabilities of astronomers. Although volunteers can participate in the processing of astronomical data online, they can only perform some simple classifications and may miss some key data. […]

Comprehensive interpretation from three perspectives: scientific research, industry, and investment

The human genome has 3.16 billion base pairs, which are constantly replicated, transcribed, and translated, and are at risk of error mutations. Missense mutations are a common form of gene mutation, but humans have only observed a small fraction of them, and only 0.1% can be interpreted. Accurately predict missense […]

According to statistics from the World Health Organization, there were 2.3 million new cases of breast cancer in 2020, ranking first among all cancers and surpassing lung cancer to become the most common cancer. However, if it can be detected and treated in time, killing cancer cells before the tumor metastasizes, the mortality rate of breast cancer can be greatly reduced. Currently, the initial screening of breast cancer […]

The United Nations predicts that the world population is expected to reach 9.1 billion in 2050, and the global demand for food will increase by 70%. However, due to the uneven development of agriculture in the world, the food production in many regions cannot be accurately counted, so it is impossible to make reasonable plans for agricultural development in these regions. The existing food production statistics method […]

New breakthrough in brain-computer interface

Content at a glance: Smells are always around us. However, it is difficult for us to accurately describe smells. Recently, Osmo, a subsidiary of Google Research, developed an odor analysis AI based on graph neural networks. It can predict the smell of molecules based on the structure of chemical molecules. Based on this […]

This article was first published on HyperAI WeChat public platform~ The emergence of ChatGPT has once again caused a stir in the technology circle. This stir has far-reaching impacts and has divided the technology community into two camps. One camp believes that the rapid development of AI may replace humans in the near future. Although this "threat theory" is not without reason […]

Contents at a glance: In a world surrounded by stainless steel, we may have almost forgotten the existence of corrosion. However, corrosion exists in every aspect of life. Whether it is rusty steel nails, aging and leaking wires, or dull cars, all of these are related to corrosion. According to statistics, the economic losses caused by metal corrosion worldwide each year[…]

In the famous adventure disaster film "Twister" released in 1996, the protagonist personally brought detection equipment into the center of the tornado to conduct in-depth research on tornadoes in order to achieve real-time data recording. Inspired by this film, Australian meteorologists Joshua Soderholm and Julian […]

Two steps and three models to achieve perfect prediction

Contents at a glance: The 3rd offline meetup of 2023 Meet TVM will be held on September 16 at Tencent Building in Shenzhen! This Meetup includes 5 wonderful talks on AI compilers. We look forward to meeting you in Shenzhen! Keywords: Compiler & […]

Content at a glance: From glamorous stars to ordinary people in plain clothes, everyone will inevitably grow old, experience changes in appearance and deterioration of physical functions. Because of this, people are also trying to find a secret recipe to delay aging. However, existing anti-aging drugs always come with some side effects. Recently, with the help of deep learning, the Nat […]

There are no difficult jobs, only brave dogs!

AI sounds the alarm on wildfires

7 tips for whale research included

Recently, a research team from UC Berkeley used support vector machines and random forest models to quantitatively analyze the amount and location of dopamine released in the body, providing new ideas for neuroimaging and neural research.

For the pig farming industry, sow farrowing is a key part of the process. Therefore, improving the survival rate of piglets and ensuring the safety of sow farrowing have become important issues. Existing AI monitoring methods have problems with high equipment costs and unstable information transmission. Researchers from Nanjing Agricultural University use a lightweight deep learning method to provide early warning and effective monitoring of the sow farrowing process, reducing costs while improving monitoring accuracy.

Columbia University's LEAP Lab used global storm analysis simulations and machine learning to create a new algorithm that addresses the problem of missing information in traditional models and provides a more accurate prediction method.