Top Trends in Data News: The Brief Roundup
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In the ever-evolving world of technology, machine learning is making significant strides in various fields. Here are some notable examples of its recent applications:
Predicting COVID-19 Hot Spots
Google has shared an anonymized dataset of symptom searches from each U.S. county, dating back to 2017. This data is being used to help predict future COVID-19 hot spots, offering valuable insights for public health officials 1.
Preventing Injuries in the U.S. Army
The U.S. Army is leveraging a machine learning system from Sparta Science to prevent and predict injuries in soldiers. The system predicts the risk an individual has for getting certain musculoskeletal injuries based on sensor-equipped scales that measure a soldier's core and lower strength during exercises like planks and jumping jacks 2.
Identifying Abstract Video Concepts
Researchers at Columbia University, MIT, and IBM have trained a machine learning model to identify and categorize abstract video concepts, such as folding clothes and hammering nails. The model performs exceptionally well, outperforming humans in scenarios where it picks which video clips complete a given abstract set and identifies which videos do not belong 3.
Deepfake Detection and Biometric Verification
In 2020, the company authID developed a tool for deepfake detection, capable of identifying deepfakes in just 700 milliseconds. They partnered with MajorKey Technologies to combat the rising AI deepfake fraud, particularly in remote hiring processes 4.
Examining Placentas for Future Complications
Researchers from Carnegie Mellon University and the University of Pittsburgh Medical Center have developed a machine learning approach to examine placentas delivered after birth for any indication of complications in future pregnancies. The algorithm identifies each blood vessel on the slide and assesses it for characteristics of disease 5.
Preserving Holocaust Survivors' Stories
The University of Southern California Shoah Foundation is utilising AI to preserve the stories and accounts of Holocaust survivors 6.
Expanding Beyond COVID-19 Symptoms
Notably, the Google dataset includes 400 symptoms and conditions beyond those commonly associated with the virus, such as stress and diabetes, providing a broader scope for future analysis 1.
These examples demonstrate the diverse ways in which machine learning is being employed to address pressing issues and improve various aspects of our lives. As technology continues to advance, the potential applications of machine learning are boundless.
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