Vineyards AI Lab

  A New, Transparent AI Tool May Help Detect Blood Poisoning It is a promising application using AI for medical services. It is a hot topic using AI to help people’s health issues. This novel algorithm can scan electric records and may reduce sepsis death, but the wide application still needs more time. Summary A solution based on machine learning was developed to help physicians detect sepsis earlier, which could save lives. Johns Hopkins Hospital developed the solution and has been deployed at three different hospitals for a try. Electronic records are used directly for an automation alert.  Limitations User side: Physicians could not have a high willingness to try a new tool they are not familiar with. Solution side: The solution depends on the electronic records. It has missing fields and values in the records, which could block the solution. Model side: It is better that we can explain the results predicted by the model detecting sepsis. Deep learning usually has a bette...

For openness in AI, one side is that we need more to boost AI development. While another side, usually some big work is finished by big tech companies and the open source can not be used directly with limited computation resources. Kind of conflicting for each one.  News link. need more openness in AI. open source isn't working for AI. 

Today's post is about DCT, which is fundamental to image compression. Through this, we can enjoy real-time image and video transmission.   Here is a Wikipedia link.

 It could be a must-think about AI ethics now. Some AI models, such as GPT-3, can generate text in its powerful ability even an academic paper about itself.  News link:  We Asked GPT-3 to Write an Academic Paper about Itself—Then We Tried to Get It Published