Tootfinder

La France rattrapée par son héritage colonial en Nouvelle-Caledonie
https://www.lapresse.ca/international/europe/la-france-rattrapee-par-son-heritage-colonial/2024-06-16/le-retroviseur-est-un-…

trec_web: TREC WT10g (2003)
A web graph network originally constructed in 2003 as a testbed for information-retrieval techniques, including web search engines. Distributed by University of Glasgow.
This network has 1601787 nodes and 8063026 edges.
Tags: Informational, Web graph, Unweighted
https://netw…

Sadness / death
One of our #NASA GISS interns passed away.
Toshiro Tokunaga started interning the fall 2022 & worked with us since doing radiation and polarimetry research w my colleague, Jacek Chowdhary, fine-tuning PACE retrievals !HARD!
This young man had amazing fortitude. He was super smart- a Stanford kid doing great things before a cancer diagnosis upended his life. He went back to school at Santa Monica Community College. And poured himself into climate research.
Rest In Peace Toshiro.

Ex-federal prosecutor recalls first Trump admin’s retaliation against feds: 'We haven’t seen anything yet' - Alternet.org
https://www.alternet.org/trump-retaliations-feds/

Ex-federal prosecutor recalls first Trump admin’s retaliation against feds: 'We haven’t seen anything yet'
During Sunday's episode of MSNBC's The Weekend, former federal prosecutor Glenn Kirshner warned of the retaliation tactics he would expect Donald Trump and his administration to use if he wins in November. Amid his prosecutions and convictions, the former president has promised revenge and retributi...

Progress towards decoding visual imagery via fNIRS #MindEye

Progress Towards Decoding Visual Imagery via fNIRS
We demonstrate the possibility of reconstructing images from fNIRS brain activity and start building a prototype to match the required specs. By training an image reconstruction model on downsampled fMRI data, we discovered that cm-scale spatial resolution is sufficient for image generation. We obtained 71% retrieval accuracy with 1-cm resolution, compared to 93% on the full-resolution fMRI, and 20% with 2-cm resolution. With simulations and high-density tomography, we found that time-domain fN…

Dog park time!
Our favorite dog park in Matthews has added gravel around the water bowl area, so now it’s not muddy!
We have the large dog side all to ourselves this afternoon.
Life is good in the summertime as North Carolina classroom teachers!

Cryptgeon is a secure, open source sharing note / file service.
Each note has a generated id (256bit) and key 256(bit). The id is used to save & retrieve the note. the note is then encrypted with aes in gcm mode on the client side with the key and then sent to the server. data is stored in memory and never persisted to disk.
🔏 https://

Bundesminister #RobertHabeck hat #ArcelorMittal einen #Förderbescheid über 1,27 Mrd. Euro zur

Ad Auctions for LLMs via Retrieval Augmented Generation
MohammadTaghi Hajiaghayi, S\'ebastien Lahaie, Keivan Rezaei, Suho Shin
https://arxiv.org/abs/2406.09459

Ad Auctions for LLMs via Retrieval Augmented Generation
In the field of computational advertising, the integration of ads into the outputs of large language models (LLMs) presents an opportunity to support these services without compromising content integrity. This paper introduces novel auction mechanisms for ad allocation and pricing within the textual outputs of LLMs, leveraging retrieval-augmented generation (RAG). We propose a segment auction where an ad is probabilistically retrieved for each discourse segment (paragraph, section, or entire ou…

Enhancing Knowledge Retrieval with In-Context Learning and Semantic Search through Generative AI
Mohammed-Khalil Ghali, Abdelrahman Farrag, Daehan Won, Yu Jin
https://arxiv.org/abs/2406.09621

Enhancing Knowledge Retrieval with In-Context Learning and Semantic Search through Generative AI
Retrieving and extracting knowledge from extensive research documents and large databases presents significant challenges for researchers, students, and professionals in today's information-rich era. Existing retrieval systems, which rely on general-purpose Large Language Models (LLMs), often fail to provide accurate responses to domain-specific inquiries. Additionally, the high cost of pretraining or fine-tuning LLMs for specific domains limits their widespread adoption. To address these limit…