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https://www.readbyqxmd.com/read/28826509/infrastructural-intelligence-contemporary-entanglements-between-neuroscience-and-ai
#1
Johannes Bruder
In this chapter, I reflect on contemporary entanglements between artificial intelligence and the neurosciences by tracing the development of Google's recent DeepMind algorithms back to their roots in neuroscientific studies of episodic memory and imagination. Google promotes a new form of "infrastructural intelligence," which excels by constantly reassessing its cognitive architecture in exchange with a cloud of data that surrounds it, and exhibits putatively human capacities such as intuition. I argue that such (re)alignments of biological and artificial intelligence have been enabled by a paradigmatic infrastructuralization of the brain in contemporary neuroscience...
2017: Progress in Brain Research
https://www.readbyqxmd.com/read/28751970/service-evaluation-of-the-implementation-of-a-digitally-enabled-care-pathway-for-the-recognition-and-management-of-acute-kidney-injury
#2
Alistair Connell, Hugh Montgomery, Stephen Morris, Claire Nightingale, Sarah Stanley, Mary Emerson, Gareth Jones, Omid Sadeghi-Alavijeh, Charles Merrick, Dominic King, Alan Karthikesalingam, Cian Hughes, Joseph Ledsam, Trevor Back, Geraint Rees, Rosalind Raine, Christopher Laing
Acute Kidney Injury (AKI), an abrupt deterioration in kidney function, is defined by changes in urine output or serum creatinine. AKI is common (affecting up to 20% of acute hospital admissions in the United Kingdom), associated with significant morbidity and mortality, and expensive (excess costs to the National Health Service in England alone may exceed £1 billion per year). NHS England has mandated the implementation of an automated algorithm to detect AKI based on changes in serum creatinine, and to alert clinicians...
2017: F1000Research
https://www.readbyqxmd.com/read/28726841/the-deepmind-debacle-demands-dialogue-on-data
#3
Hetan Shah
No abstract text is available yet for this article.
July 19, 2017: Nature
https://www.readbyqxmd.com/read/27830057/automated-analysis-of-retinal-imaging-using-machine-learning-techniques-for-computer-vision
#4
Jeffrey De Fauw, Pearse Keane, Nenad Tomasev, Daniel Visentin, George van den Driessche, Mike Johnson, Cian O Hughes, Carlton Chu, Joseph Ledsam, Trevor Back, Tunde Peto, Geraint Rees, Hugh Montgomery, Rosalind Raine, Olaf Ronneberger, Julien Cornebise
There are almost two million people in the United Kingdom living with sight loss, including around 360,000 people who are registered as blind or partially sighted. Sight threatening diseases, such as diabetic retinopathy and age related macular degeneration have contributed to the 40% increase in outpatient attendances in the last decade but are amenable to early detection and monitoring. With early and appropriate intervention, blindness may be prevented in many cases. Ophthalmic imaging provides a way to diagnose and objectively assess the progression of a number of pathologies including neovascular ("wet") age-related macular degeneration (wet AMD) and diabetic retinopathy...
2016: F1000Research
https://www.readbyqxmd.com/read/25719643/deepmind-algorithm-beats-people-at-classic-video-games
#5
Elizabeth Gibney
No abstract text is available yet for this article.
February 26, 2015: Nature
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