The Internet favors exchanges, mutual learning between civilizations

A visitor tries out an AR game at the booth of Chinese technology company Huawei during the Mobile World Congress (MWC) at the FIRA Gran Via exhibition center in Barcelona, ​​Spain, June 28, 2021. (Xinhua/Zhang Cheng) XIAMEN, July 20 (XINHUA) – The mobile game “Tower of Fantasy”, developed by Beijing-based film and game company Perfect … Read more

Microsoft AI Research introduces a new deep learning framework called Distributional Graphormer (DiG) to predict the equilibrium distribution of molecular systems.

https://arxiv.org/abs/2306.05445 The structure of a molecule determines its properties and functions. This is why structure prediction is an important problem in molecular science. Molecular scientists are appreciating the groundbreaking accuracy of deep learning approaches like AlphaFold and RoseTTAFold in identifying the most likely structures for proteins from their amino acid sequences. However, structural prediction can … Read more

Better and faster design of light-emitting organic materials with machine learning and quantum computing

image: (A) Structure of Alq3 (B) Flowchart of the authors of two selected quantum optimization algorithms (C) Illustration of the authors’ method to reduce the influence of device noise visualization Moreover Credit: QI GAO ET AL Over the past decade, organic luminescent materials have been recognized by academia and industry as promising components for lightweight, … Read more

How AI can help educators see if their learning materials work

Companies like Amazon and Facebook have systems in place that continuously respond to how users interact with their apps to streamline the user experience. What if educators could use the same adaptive experimentation strategy to regularly improve their teaching materials? That’s the question asked by a group of researchers who have developed a free tool … Read more

MIT researchers have developed BioAutoMATED: an automated machine learning system that can select and build an appropriate model for a given data set

https://www.cell.com/cell-systems/pdf/S2405-4712(23)00151-5.pdf The task of building machine learning models can be challenging, particularly for researchers with no background in machine learning. However, a team of MIT researchers has developed an innovative solution called BioAutoMATED. This automated machine learning system simplifies the model selection process and data preprocessing, significantly reducing the time and effort required. The researchers … Read more