In The Cloud: Microsoft Signs Deal With Xiaomi, AI Used To Diagnose Diseases, Google Adds Features To Flight App.

Microsoft Signs Deal With Xiaomi for AI, Cloud, and Hardware.

Last week Xiaomi signs deal with Microsoft to collaborate on services in regards to integration of AI, cloud computing, and hardware. Microsoft and Xiaomi are going to strategically partner to examine ways to deploy new technology integrations, mainly around artificial intelligence. The deal itself will allow Microsoft’s ability for cloud computing and AI technologies to be combined with Xiaomi mobile and smart devices to expedite and expand Xiaomi ’s international growth.

One of the important stipulations of the deal is that the Azure cloud platform will be used to support Xiaomi’s users’ data storage and services along with Xiaomi laptops. Integrating Microsoft’s technology with Xiaomi’s smart hardware and smart devices will help them develop brilliant and more cutting-edge technology with already one of the most innovative companies in China.

To learn more about the deal between Microsoft and Xiaomi, click here.

Artificial Intelligence Helps Diagnose Eye Disease and Pneumonia.

Disease diagnosis for medical professionals sometimes is one of the most difficult stages in the process of treating a patient. However, what if you could more accurately and quickly diagnose and treat patients with diseases they are suffering from using artificial intelligence? This would make a huge difference in the level of medical care and eliminate a lot of the time it takes out of figuring out what is or could be wrong with the patient.

Knowing the condition the patient is suffering from is the most important part of the process obviously because you need to understand how to treat that patient. For awhile doctors have been making efforts to involve artificial intelligence to diagnose diseases more efficiently all around. It is the most crucial part of treatment and unfortunately is part of the stage where things can go wrong when a misdiagnosis takes place.   

Scientists at the Shiley Eye Institute in affiliation with the California University, at San Diego Medical School are using machine learning and AI. They have created an AI-powered tool that screens patients with retinal diseases. The findings of this project were published February 22nd.

The tool is able to screen patients with common but potentially blinding retinal diseases by using computational techniques. By doing this the diagnoses process along with the ability to treat the conditions has speeded up. Using this tool has been a great achievement in medicine and allows for better use of resources and saves time, but also is more efficient all around.

Obviously, this is just a small sector and has yet to untap the unbelievable potential that artificial intelligence has in medicine. Even though this is a big step in the right direction, the scientists and doctors claim that they are nowhere close to seeing what this technology and artificial intelligence is able to do for medicine.

To find out more about what doctors are saying about the advancement of AI in the medical field and how it will help them in the near future, click here.  

Google Can Predict Flight Delays By Using Machine Learning.

Google has announced some updates to its Flight app that would use historical data to inform users when it thinks their flight will be delayed. New updates to this app along with a couple new features will help travelers with their next trip to the airport. This first feature uses machine learning to predict flight delays as I mentioned, but the second feature breaks down exactly what different airlines mean by “basic economy” by explaining what is and is not included. However, if you fly enough I’m assuming you already know or can guess what basic economy is from airline to airline.

I imagine most people are going to be more interested in the new flight delay feature. It will search through data of past flight delays to look for patterns in late departures which will include things like location, weather, and late arrivals. Only when the algorithms are 80% sure there’ll be a delay, the information will then appear in the search results when looking up your flight number, route, or airline. Google wants to stress that you shouldn’t take the predictions as fact because even though 80% is a good prediction, you should still show up for your flights on time.

To learn more about Google new Flight app, click here.

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