Lauren Silverman is the Health, Science & Technology reporter/blogger at KERA News. She received a Peabody Award for her contribution to NPR’s Ebola coverage in 2014 and has won several regional awards; an honorable mention for Edward R. Murrow awards, as well as the Texas Veterans Commission’s Excellence in Media Awards in the radio category.
Lauren Silverman
From this contributor
U.S. travel ban threatens to worsen nation’s doctor shortage
The U.S. medical system depends on doctors from other countries, who often work in areas in desperate need of providers.
U.S. travel ban threatens to worsen nation’s doctor shortage
Women aren’t taking first place in top medical journals
There’s a gender gap in who gets top billing on medical studies published in several of the most prestigious research journals.
Women aren’t taking first place in top medical journals
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Commentary: Citation graphs may underestimate neuroscience’s influence on AI
An alternative, albeit less quantitative, way to trace this history is through the people who carried ideas between the fields.
Commentary: Citation graphs may underestimate neuroscience’s influence on AI
An alternative, albeit less quantitative, way to trace this history is through the people who carried ideas between the fields.
Commentary: The rising absolute number of neuro-inspired AI papers represents a substantial footprint
Many of the design choices present in the current generation of artificial-intelligence tools parallel purported properties of the brain.
Commentary: The rising absolute number of neuro-inspired AI papers represents a substantial footprint
Many of the design choices present in the current generation of artificial-intelligence tools parallel purported properties of the brain.
Examining the bridge between neuroscience and AI
A citation analysis reveals that the connection between the two fields is real and gaining momentum. But it’s also narrow and tool-heavy; we need to find ways to widen it.
Examining the bridge between neuroscience and AI
A citation analysis reveals that the connection between the two fields is real and gaining momentum. But it’s also narrow and tool-heavy; we need to find ways to widen it.