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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 […]

Overview: On September 16th, the 2023 Meet TVM · Shenzhen, hosted by the MLC.AI community and HyperAI, and co-organized by Openbayes and Tencent AI Lab, was successfully held at Tencent Building. It invited speakers from Shanghai Jiao Tong University […]

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.

True human-machine collaboration

Prediction accuracy exceeds 99%

A comprehensive horizontal comparison of the three major methods

Rejuvenation from the inside out

Prospecting action, Action!

AI: a cure and a poison

Technology helps farmers add new Buff

Overview: In recent years, the global climate change situation is severe, and the butterfly effect caused by it is profoundly affecting humans and nature. In this context, collecting data on flowering patterns within hundreds or even thousands of kilometers and understanding how climate change affects flowering plants has become one of the important topics of ecological research in recent years. However, traditional […]

New option to fight drug-resistant bacteria

Grand opening of Riva Riverside

The multifaceted life of Associate Professor Huang Hong from Huazhong University of Science and Technology

New breakthrough in grape breeding technology

Attached ppt and sharing record