Tootfinder

Cowboys Minicamp: don't buy into early hype on Jonathan Mingo, Joe Milton https://insidethestar.com/cowboys-minicamp-dont-buy-into-early-hype-on-jonathan-mingo-joe-milton

Unreal is all you need: Multimodal ISAC Data Simulation with Only One Engine
Kongwu Huang, Shiyi Mu, Jun Jiang, Yuan Gao, Shugong Xu
https://arxiv.org/abs/2507.08716

Unreal is all you need: Multimodal ISAC Data Simulation with Only One Engine
Scaling laws have achieved success in LLM and foundation models. To explore their potential in ISAC research, we propose Great-X. This single-engine multimodal data twin platform reconstructs the ray-tracing computation of Sionna within Unreal Engine and is deeply integrated with autonomous driving tools. This enables efficient and synchronized simulation of multimodal data, including CSI, RGB, Radar, and LiDAR. Based on this platform, we construct an open-source, large-scale, low-altitude UAV …

Apple TV: Neues Modell noch in diesem Jahr?
Apple plant vermutlich noch in diesem Jahr eine frische Multimediabox. Es könnte dieses Mal neue Hardware-Elemente geben.
https://www.heise.de/news/Apple-T…

PUMA: Layer-Pruned Language Model for Efficient Unified Multimodal Retrieval with Modality-Adaptive Learning
Yibo Lyu, Rui Shao, Gongwei Chen, Yijie Zhu, Weili Guan, Liqiang Nie
https://arxiv.org/abs/2507.08064

PUMA: Layer-Pruned Language Model for Efficient Unified Multimodal Retrieval with Modality-Adaptive Learning
As multimedia content expands, the demand for unified multimodal retrieval (UMR) in real-world applications increases. Recent work leverages multimodal large language models (MLLMs) to tackle this task. However, their large parameter size results in high training costs and low inference efficiency. To address this, we propose PUMA: a Layer-Pruned Language Model for Efficient Unified Multimodal Retrieval with Modality-Adaptive Learning. Our approach improves UMR from both structural and learning…

Multilingual Multimodal Software Developer for Code Generation
Linzheng Chai, Jian Yang, Shukai Liu, Wei Zhang, Liran Wang, Ke Jin, Tao Sun, Congnan Liu, Chenchen Zhang, Hualei Zhu, Jiaheng Liu, Xianjie Wu, Ge Zhang, Tianyu Liu, Zhoujun Li
https://arxiv.org/abs/2507.08719

Multilingual Multimodal Software Developer for Code Generation
The rapid advancement of Large Language Models (LLMs) has significantly improved code generation, yet most models remain text-only, neglecting crucial visual aids like diagrams and flowcharts used in real-world software development. To bridge this gap, we introduce MM-Coder, a Multilingual Multimodal software developer. MM-Coder integrates visual design inputs-Unified Modeling Language (UML) diagrams and flowcharts (termed Visual Workflow)-with textual instructions to enhance code generation ac…

Pistorius zu US-Unterstützung: "Ein wichtiges Signal"
Bundesverteidigungsminister Boris Pistorius hat die neue US-Unterstützung für die Ukraine begrüßt. "Ob es wirklich eine Kehrtwende ist, das wird sich zeigen", sagte er im Interview mit den tagesthemen. "Entscheidend ist, dass sich die Tonlage verändert hat, und die Mittel, die eingesetzt werden, eine klarere Sprache sprechen." Auch habe Trump Kre…
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Bundesverteidigungsminister Pistorius zu den Verhandlungen in Washington
Bundesverteidigungsminister Pistorius zu den Verhandlungen in Washington

ByDeWay: Boost Your multimodal LLM with DEpth prompting in a Training-Free Way
Rajarshi Roy, Devleena Das, Ankesh Banerjee, Arjya Bhattacharjee, Kousik Dasgupta, Subarna Tripathi
https://arxiv.org/abs/2507.08679

ByDeWay: Boost Your multimodal LLM with DEpth prompting in a Training-Free Way
We introduce ByDeWay, a training-free framework designed to enhance the performance of Multimodal Large Language Models (MLLMs). ByDeWay uses a novel prompting strategy called Layered-Depth-Based Prompting (LDP), which improves spatial reasoning and grounding without modifying any model parameters. It segments the scene into closest, mid-range, and farthest layers using monocular depth estimation, then generates region-specific captions with a grounded vision-language model. These structured, d…

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations
Michael Galarnyk, Veer Kejriwal, Agam Shah, Yash Bhardwaj, Nicholas Meyer, Anand Krishnan, Sudheer Chava
https://arxiv.org/abs/2507.08104

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations
Social media has amplified the reach of financial influencers known as "finfluencers," who share stock recommendations on platforms like YouTube. Understanding their influence requires analyzing multimodal signals like tone, delivery style, and facial expressions, which extend beyond text-based financial analysis. We introduce VideoConviction, a multimodal dataset with 6,000+ expert annotations, produced through 457 hours of human effort, to benchmark multimodal large language models (MLLMs) an…

Merz und Klingbeil begrüßen US-Druck auf Putin
Bundeskanzler Friedrich Merz und Vizekanzler Lars Klingbeil haben die Kehrtwende von US-Präsident Trump in der Ukraine-Politik begrüßt. Merz sprach von einer "wichtigen Initiative" Trumps. "Die USA werden der Ukraine in großem Umfang Waffen zur Verfügung stellen, wenn die europäischen Partner dies finanzieren." Er habe darüber mit Trump in den vergangen…
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Thomas Wiegold, Militär- und Sicherheitsexperte, zu Trumps Wende in der Ukraine-Russland-Politik
Thomas Wiegold, Militär- und Sicherheitsexperte, zu Trumps Wende in der Ukraine-Russland-Politik

Wie reagiert Kiew auf die Ankündigungen aus Washington?
Aus der Ukraine berichtet ARD-Korrespondent Vassili Golod, es werde "grundsätzlich positiv" auf die angekündigte verstärkte Unterstützung der USA reagiert. "Es gibt aber dennoch Fragen", so Golod. Die bezögen sich vor allem auf das 50-Tage-Ultimatum von US-Präsident Donald Trump an Russland - zum einen, weil Trump Ultimaten in der Vergangenheit…
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"Es gibt dennoch Fragen", Vassili Golod, ARD Kiew, zu weiteren Waffenlieferungen der USA an die Ukraine
"Es gibt dennoch Fragen", Vassili Golod, ARD Kiew, zu weiteren Waffenlieferungen der USA an die Ukraine