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Episode 483 - Dissent Into Madness
Israel Placed Surveillance Devices Inside Secret Service Emergency Vehicles...
Here is the alleged partial chat log between Tyler Robinson and his trans lover...
MAJOR BREAKING: State Department & UN ties to Armed Queers SLC leader now confirmed
This "Printed" House Is Stronger Than You Think
Top Developers Increasingly Warn That AI Coding Produces Flaws And Risks
We finally integrated the tiny brains with computers and AI
Stylish Prefab Home Can Be 'Dropped' into Flooded Areas or Anywhere Housing is Needed
Energy Secretary Expects Fusion to Power the World in 8-15 Years
ORNL tackles control challenges of nuclear rocket engines
Tesla Megapack Keynote LIVE - TESLA is Making Transformers !!
Methylene chloride (CH2Cl?) and acetone (C?H?O) create a powerful paint remover...
Engineer Builds His Own X-Ray After Hospital Charges Him $69K
Researchers create 2D nanomaterials with up to nine metals for extreme conditions
Machine learning was used to train LogitBoost, which its developers say can predict death or heart attacks with 90 per cent accuracy.
It was programmed to use 85 variables to calculate the risk to the health of the 950 patients that it was fed scans and data from.
Patients complaining of chest pain were subjected to a host of scans and tests before being treated by traditional methods.
Their data was later used to train the algorithm.
It 'learned' the risks and, during the six-year follow-up, had a 90 per cent success rate at predicting 24 heart attacks and 49 deaths from any cause.
Services like Netflix and Spotify systems all use algorithms in a similar way to adapt to individual users and offer a more personalised look.
Study author Dr Luis Eduardo Juarez-Orozco, of the Turku PET Centre, Finland, said these advances go beyond medicine.