Tootfinder

drosophila_flybi: Fruit fly protein interactions (Drosophila melanogaster)
Binary protein-protein interactions (PPIs) for Drosophila melanogaster, containing 8723 PPIs among 2939 proteins. The iteractions were identified using a yeast two-hybrid (Y2H) analysis.
This network has 2939 nodes and 8723 edges.
Tags: Biological, Protein interactions, Unweighted

Pelosi raked in millions last year -- and her portfolio out-performed every large hedge fund with stunning returns (Gabrielle Fahmy/New York Post)
https://nypost.com/2025/06/21/us-news/pelosi-added-millions-to-net-worth-last-year-report/
http://www.memeorandum.com/250621/p25#a250621p25

Fantastic reporting (as usual) from @… for @… :

How Tea’s Founder Convinced Millions of Women to Spill Their Secrets, Then Exposed Them to the World
A 404 Media investigation reveals how the man who started Tea, the ‘women dating safety’ app, tried to hire a female ‘face’ for the company and then hijack her grassroots community.

Apple Watch – eine Uhr für (fast) alle Fälle | Mac & i-Podcast
Vom holprigen Start über Health-Meilensteine und enttäuschte Erwartungen bis zu Alltagsnutzen und Problemstellen: höchste Zeit für eine Apple-Watch-Episode.

drosophila_flybi: Fruit fly protein interactions (Drosophila melanogaster)
Binary protein-protein interactions (PPIs) for Drosophila melanogaster, containing 8723 PPIs among 2939 proteins. The iteractions were identified using a yeast two-hybrid (Y2H) analysis.
This network has 2939 nodes and 8723 edges.
Tags: Biological, Protein interactions, Unweighted

U-MARVEL: Unveiling Key Factors for Universal Multimodal Retrieval via Embedding Learning with MLLMs
Xiaojie Li, Chu Li, Shi-Zhe Chen, Xi Chen
https://arxiv.org/abs/2507.14902

U-MARVEL: Unveiling Key Factors for Universal Multimodal Retrieval via Embedding Learning with MLLMs
Universal multimodal retrieval (UMR), which aims to address complex retrieval tasks where both queries and candidates span diverse modalities, has been significantly advanced by the emergence of MLLMs. While state-of-the-art MLLM-based methods in the literature predominantly adopt contrastive learning principles, they often differ in their specific training recipes. Despite their success, the mechanisms underlying their retrieval capabilities remain largely unexplored, potentially resulting in …

“We kissed Trump’s ass and kowtowed to a fascist.” https://ec.social-network.europa.eu/@EUCommission/115067151811326127

European Commission (@EUCommission@ec.social-network.europa.eu)
Attached: 1 image 🇪🇺🤝🇺🇸 Today, the EU and US moved forward in restoring stability and predictability in transatlantic trade. This agreement brings: ✅ Predictability and stability for businesses and consumers ✅ Protection for millions of EU jobs and long-term economic growth ✅ Opportunities for industries on both sides of the Atlantic, including the car sector Fair, balanced, and mutually beneficial, this deal avoids harmful escalation and strengthens the transatlantic …

Indian crypto exchange CoinDCX says $44 million stolen from reserves https://therecord.media/indian-crypto-dcx-millions-stolen

StreamMem: Query-Agnostic KV Cache Memory for Streaming Video Understanding
Yanlai Yang, Zhuokai Zhao, Satya Narayan Shukla, Aashu Singh, Shlok Kumar Mishra, Lizhu Zhang, Mengye Ren
https://arxiv.org/abs/2508.15717

StreamMem: Query-Agnostic KV Cache Memory for Streaming Video Understanding
Multimodal large language models (MLLMs) have made significant progress in visual-language reasoning, but their ability to efficiently handle long videos remains limited. Despite recent advances in long-context MLLMs, storing and attending to the key-value (KV) cache for long visual contexts incurs substantial memory and computational overhead. Existing visual compression methods require either encoding the entire visual context before compression or having access to the questions in advance, w…

fly_hemibrain: Fly hemibrain (2020)
A synaptic map of the hemibrain connectome of fruit fly Drosophila melanogaster. Nodes are neurons, and edges are synaptic connections, traced individually from brain image sections using EM reconstruction techniques. Neurons are labeled by their type. Edges are annotated by the connection strength between the neurons.
This network has 21739 nodes and 4259624 edges.
Tags: Biological, Connectome, Weighted, Metadata