Awesome, not awesome.
#Awesome
"According to the American Cancer Society, more than 229,000 people will be diagnosed with lung cancer in the United States this year, with adenocarcinoma being the most common type. To help with diagnosis, researchers from Dartmouth’s Norris Cotton Cancer Center and the Hassanpour Lab at Dartmouth University developed a deep learning-based system for automated classification of histologic subtypes on lung adenocarcinoma surgical resection slides on par with pathologists. ” - NVIDIA News Center Learn More from NVIDIA >
#Not Awesome
"“The future of human flourishing depends upon facial recognition technology being banned,” wrote Woodrow Hartzog, a professor of law and computer science at Northeastern, and Evan Selinger, a professor of philosophy at the Rochester Institute of Technology, last year. “Otherwise, people won’t know what it’s like to be in public without being automatically identified, profiled, and potentially exploited.” Facial recognition is categorically different from other forms of surveillance, Mr. Hartzog said, and uniquely dangerous. Faces are hard to hide and can be observed from far away, unlike a fingerprint. Name and face databases of law-abiding citizens, like driver’s license records, already exist. And for the most part, facial recognition surveillance can be set up using cameras already on the streets." - Sahil Chinoy, Graphics editor Learn More from The New York Times >
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