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FEATURE | Artificial Intelligence or Artificial God? The Deification of AI
"When part of a mechanism is concealed from observation, the behaviour of the machine seems remarkable." This quote was from English psychiatrist Ross Ashby at a 1956 Dartmouth College technology workshop, later known as the "founding event" of artificial intelligence. It's long been known that what we don't see, we do not understand, and what we do not understand, we cannot—and often do not willingly—interrogate. In the modern age of artificial intelligence, this observat
Helena Wang (Hopkins '27)
4 min read


FEATURE | Shortening the Diagnostic Odyssey: Utilizing ML and Attention-Based AI for the Advancement of Genetic Disease Diagnostics
Families who are trying to solve the mystery of rare genetic disorders often have to endure a long journey before the diagnosis: a journey that doctors refer to as the “diagnostic odyssey.” The patients visit different doctors and must perform repeated tests before waiting for the genetic sequencing result, which often fails to explain the disorder despite the long search. Recently, however, a potential bypass into this labyrinth has come via the use of artificial intelligenc
Miles Liao (Hopkins '27)
4 min read


FEATURE | Applications of Artificial Intelligence to Global Healthcare in the Past and Present
With the release of ChatGPT to the general public in November 2022, discussions of artificial intelligence became mainstream, and the implications of AI for many facets of human society became apparent. Students could use large language models (LLMs) to complete their homework in record time, customer support agents could employ artificial neural networks (ANNs) to analyze queries, and linear regression machine learning (ML) models could be used for price prediction in financ
Jacob Richards (Hopkins '27)
3 min read
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