Tootfinder

Bears, star CB Jaylon Johnson mulling options with season-ending surgery possible https://www.foxsports.com/articles/nfl/bears-star-cb-jaylon-johnson-mulling-options-with-seasonending-surgery-possible

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

🇺🇦 Auf radioeins läuft...
Chris Malinchak:
🎵 So Good To Me
#NowPlaying #ChrisMalinchak
https://l-jay94.bandcamp.com/track/11-so-good-to-me-chris-malinchak-westfunk-steve-smart-remix
https://open.spotify.com/track/2v53W5gUEexmbI3tzvbtXv

Controlling Multimodal LLMs via Reward-guided Decoding
Oscar Ma\~nas, Pierluca D'Oro, Koustuv Sinha, Adriana Romero-Soriano, Michal Drozdzal, Aishwarya Agrawal
https://arxiv.org/abs/2508.11616

Controlling Multimodal LLMs via Reward-guided Decoding
As Multimodal Large Language Models (MLLMs) gain widespread applicability, it is becoming increasingly desirable to adapt them for diverse user needs. In this paper, we study the adaptation of MLLMs through controlled decoding. To achieve this, we introduce the first method for reward-guided decoding of MLLMs and demonstrate its application in improving their visual grounding. Our method involves building reward models for visual grounding and using them to guide the MLLM's decoding process. Co…

Rund 15 % der britischen Bevölkerung waren laut einer Umfrage bereits von der #Flut eingeschlossen – oft wegen Fehleinschätzungen.
Viele wissen nicht, dass sich #Gezeiten täglich verschieben und sich örtlich stark unterscheiden. Gerade auf

Misunderstanding the tide is putting millions at risk on UK coasts – here’s what you need to know
Four in ten people surveyed were unaware that tides come in twice daily, that they vary in timing each day, and that they differ in height across the country.

Muovi hajoaa ympäristössä mikromuoveiksi, mistä seuraa ongelmia sekä luonnolle että ihmisille. Muovin aiheuttamat terveyskulut ovat maailmassa melkoiset. https://www.maaseuduntulevaisuus.fi/koti/28eb0d3c-3b7c-4464-bd5f-eed14b3f3531

Tiesitkö? Tässä suomalaisturistien suosimassa meressä on muovia hurjat määrät
Muovi hajoaa ympäristössä mikromuoveiksi, mistä seuraa ongelmia sekä luonnolle että ihmisille. Muovin aiheuttamat terveyskulut ovat maailmassa melkoiset.

It's fascinating that we largely went from a network of personal computers processing data locally that could access an open hypertext system linking together millions of websites…
…to phones with proprietary closed apps that often largely are little more than little windows to timesharing mainframes.

The World Shipping Council launches an AI tool to scan millions of bookings in real time to identify risks of cargo fires, which reached a decade-high in 2024 (Financial Times)
https://www.ft.com/content/8e9c70f1-af80-4e9b-8171-59b1ad54aaf6

@… like millions of date strings suddenly cried out…

MM-R1: Unleashing the Power of Unified Multimodal Large Language Models for Personalized Image Generation
Qian Liang, Yujia Wu, Kuncheng Li, Jiwei Wei, Shiyuan He, Jinyu Guo, Ning Xie
https://arxiv.org/abs/2508.11433

MM-R1: Unleashing the Power of Unified Multimodal Large Language Models for Personalized Image Generation
Multimodal Large Language Models (MLLMs) with unified architectures excel across a wide range of vision-language tasks, yet aligning them with personalized image generation remains a significant challenge. Existing methods for MLLMs are frequently subject-specific, demanding a data-intensive fine-tuning process for every new subject, which limits their scalability. In this paper, we introduce MM-R1, a framework that integrates a cross-modal Chain-of-Thought (X-CoT) reasoning strategy to unlock …