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The Pentagon Is Experimenting With AI That Can Predict Events ‘Days in Advance’

If you’re wondering just how advanced artificial intelligence (AI) systems are getting, then know this: the US military is testing an experimental AI network tasked with identifying likely future events worthy of closer attention, and days before they occur.

The series of tests are called the Global Information Dominance Experiments (GIDE), and they combine data from a huge variety of sources, including satellite imagery, intelligence reports, sensors in the field, radar, and more.

Cloud computing also plays an important part in this setup, making sure that vast chunks of data collected from all over the world can be processed efficiently, and then accessed by whichever military officials and agencies need them.

Machine Learning Approach for Predicting Risk of Schizophrenia Using a Blood Test

Summary: Blood tests revealed specific epigenetic biomarkers for schizophrenia. Researchers applied machine learning to analyze the CoRSIVs region of the human genome to identify the schizophrenia biomarkers. Testing the model with an independent data set revealed the AI technology can detect schizophrenia with 80% accuracy.

Source: Baylor College of Medicine.

An innovative strategy that analyzes a region of the genome offers the possibility of early diagnosis of schizophrenia, reports a team led by researchers at Baylor College of Medicine. The strategy applied a machine learning algorithm called SPLS-DA to analyze specific regions of the human genome called CoRSIVs, hoping to reveal epigenetic markers for the condition.

Veteran software engineer launches AI startup Hal9 while battling long COVID and pandemic concerns

Is there ever really a good time to launch a startup?

That’s the question Javier Luraschi was asking and sort of answering for himself in discussing his effort to “democratize artificial intelligence” through his new company called Hal9.

And while getting a startup off the ground is challenging enough under normal circumstances, Luraschi made his move during the COVID-19 pandemic and while suffering the effects of and searching for answers to long COVID, a condition in which people experience symptoms of the illness for extended periods of time.