World War II at Sea: A Global History

Edwards, Sam

doi:10.1093/jahist/jaz286

Cited by 2 publications

(1 citation statement)

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“…The United States and United Kingdom needed to set up secure shipping lines to move both armaments and troops to England in preparation for a mainland European invasion. However, the German U-boats were extremely effective at disrupting and sinking many of the ships traversing these shipping lanes [3]. As such, the Allies needed to intercept German communications to swing the Battle of the Atlantic in their favor.…”

Section: Artificial Intelligence and Machine Learningmentioning

confidence: 99%

Applications of Machine Learning in Healthcare

Toh¹,

Brody²

2021

Smart Manufacturing - When Artificial Intelligence Meets the Internet of Things

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Machine learning techniques in healthcare use the increasing amount of health data provided by the Internet of Things to improve patient outcomes. These techniques provide promising applications as well as significant challenges. The three main areas machine learning is applied to include medical imaging, natural language processing of medical documents, and genetic information. Many of these areas focus on diagnosis, detection, and prediction. A large infrastructure of medical devices currently generates data but a supporting infrastructure is oftentimes not in place to effectively utilize such data. The many different forms medical information exist in also creates some challenges in data formatting and can increase noise. We examine a brief history of machine learning, some basic knowledge regarding the techniques, and the current state of this technology in healthcare.

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Section: Artificial Intelligence and Machine Learningmentioning

confidence: 99%

Applications of Machine Learning in Healthcare

Toh¹,

Brody²

2021

Smart Manufacturing - When Artificial Intelligence Meets the Internet of Things

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Guests with Guns: Public Support for “No Carry” Defaults on Private Land

Ayres¹,

Jonnalagadda²

2020

J. Law. Med. Ethics

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A nationally representative survey of 2000 American adults shows broad support for prohibiting gun-possession on private land without the landowner's explicit permission. Many states have laws which permit concealed weapon carry unless explicitly prohibited by the landowner, but our survey suggests statistically-significant majorities would prefer “no carry” defaults with regard to homeowners, employers, and retailers. While respondents who are Republican, male, or gun owners are more likely to support “carry” defaults, we find that the majoritarian rejection of “carry” defaults does not tend to vary by region or state. However, our survey does find majority support for a default right to possess guns in rented property and on an employer's parking lot. Respondents across all contexts also report substantial ignorance or misinformation about the law. Landowners who don't know or mistakenly believe that concealed carry is, by default, prohibited on their land may be less able to protect themselves by explicitly prohibiting such third-party possession.

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World War II at Sea: A Global History

Cited by 2 publications

References 0 publications

Applications of Machine Learning in Healthcare

Applications of Machine Learning in Healthcare

Guests with Guns: Public Support for “No Carry” Defaults on Private Land

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