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

Contents at a glance: Drug inkjet printing is a highly flexible and intelligent way of making medicines. According to relevant reports, the market size of this field will grow exponentially in the near future. In the past, the method of screening suitable bio-inks was time-consuming and laborious, and thus became one of the main challenges in the field of drug inkjet printing. To solve this problem, the country […]

Attached ppt and sharing record

Three young people standing at the forefront of AIGC

A breakthrough in domestic regenerative medicine

Content at a glance: As the population continues to age, dementia has become a public health issue. Currently, the medical community can only treat the disease through medication, and no effective cure has been found. Therefore, preventing dementia is particularly urgent. Against this background, researchers at Yonsei University have developed several machine learning methods to predict BPSD.

Early warning of forest pests

Content at a glance: The second stop of the 2023 Meet TVM offline gathering is scheduled for June 17! This time we have set up 5 talks and look forward to meeting everyone in Zhongguancun, Beijing!

Keywords: compiler, offline activities, 2023MeetTVM

AI has joined the fight against malaria