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[Light session, many on break this week]
[Light session, many on break this week]
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Catching up with js - generators, groupBy; and more
Catching up with js - generators, groupBy; and more
Generators:
Generators:
... (Daniel) ...
https://observablehq.com/@anjana/the-power-of-js-generators
groupBy ... there are two:
groupBy ... there are two:
...(Jonas)...
Object.GroupBy()
> use when group elements are stringsMap.GroupBy()
> returns a Map
Mozzila Docs:
The Map.groupBy() static method groups the elements of a given iterable using the values returned by a provided callback function. The final returned Map uses the unique values from the test function as keys, which can be used to get the array of elements in each group.
The method is primarily useful when grouping elements that are associated with an object, and in particular when that object might change over time. If the object is invariant, you might instead represent it using a string, and group elements with Object.groupBy().
Maybe worth having a look at localForage API or an indexedDB angle?
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10:00 [Lee, Jun]
10:00 [Lee, Jun]
ASCO, Google and Lee's AI perspectives
Similar project with ASCO/Google: https://cancerletter.com/clinical/20250523_4/
Demonstrative prototype https://lkmason.github.io/screenllm-prototype/
Leaderboard for in-browser AI
Leaderboard for in-browser AI
discuss, maybe in the context of:
May 22, 2025
NCI has issued a Request for Information (RFI) to gather feedback on key artificial intelligence (AI) benchmarks and related data sets. This input will play a key role in driving progress in the development, evaluation, and validation of AI technologies for cancer research and care.
Key questions to consider include the following:
What specific cases or tasks in cancer research and care could benefit from high-quality AI benchmarks?
What are the most important features of these benchmarks (considering quality, usefulness, and accessibility)?
Can researchers use or adapt any existing data sets to create benchmarks in cancer research and care?
What are the main obstacles to creating or using AI benchmarks in the cancer research field?
Your ideas will help ensure these benchmarks meet the real-world needs of both the cancer and AI communities.
Submissions are due no later than June 30, 2025, at 11:59 p.m. ET.
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