This paper addresses the challenge of automatically classifying text according to political leaning and politicalness using transformer models. We compose a comprehensive overview of existing datasets and models for these tasks, finding that current approaches create siloed solutions that perform poorly on out-of-distribution texts. To address this limitation, we compile a diverse dataset by combining 12 datasets for political leaning classification and creating a new dataset for politicalness by extending 18 existing datasets with the appropriate label. Through extensive benchmarking with leave-one-in and leave-one-out methodologies, we evaluate the performance of existing models and train new ones with enhanced generalization capabilities.

The lack of dedicated CS datasets limits ASR performance, as most models rely on monolingual or mixed-language corpora that fail to reflect real-world CS patterns. This issue is critical in multilingual societies where CS occurs in informal and formal settings. A key example is Catalan-Spanish CS, widely used in media and parliamentary speeches. In this work, we improve ASR for Catalan-Spanish CS by exploring three strategies: (1) generating synthetic CS data, (2) concatenating monolingual audio, and (3) leveraging real CS data with language tokens. We extract CS data from Catalan speech corpora and fine-tune OpenAI's Whisper models, making them available on Hugging Face. Results show that combining a modest amount of synthetic CS data with the dominant language token yields the best transcription performance.

-- Previous studies on multimodal fake news detection mainly focus on the alignment and integration of cross-modal features, as well as the application of text-image consistency. However, they overlook the semantic enhancement effects of large multimodal models and pay little attention to the emotional features of news. In addition, people find that fake news is more inclined to contain negative emotions than real ones. Therefore, we propose a novel Semantic Enhancement and Emotional Reasoning (SEER) Network for multimodal fake news detection. We generate summarized captions for image semantic understanding and utilize the products of large multimodal models for semantic enhancement. Inspired by the perceived relationship between news authenticity and emotional tendencies, we propose an expert emotional reasoning module that simulates real-life scenarios to optimize emotional features and infer the authenticity of news. Extensive experiments on two real-world datasets demonstrate the superiority of our SEER over state-of-the-art baselines.

Despite rapid progress in end-to-end AI music generation, AI-driven modeling of professional Digital Signal Processing (DSP) workflows remains challenging. In particular, while there is growing interest in neural black-box modeling of audio effect graphs (e.g. reverb, compression, equalization), AI-based approaches struggle to replicate the nuanced signal flow and parameter interactions used in professional workflows. Existing differentiable plugin approaches often diverge from real-world tools, exhibiting inferior performance relative to simplified neural controllers under equivalent computational constraints. We introduce WildFX, a pipeline containerized with Docker for generating multi-track audio mixing datasets with rich effect graphs, powered by a professional Digital Audio Workstation (DAW) backend. WildFX supports seamless integration of cross-platform commercial plugins or any plugins in the wild, in VST/VST3/LV2/CLAP formats, enabling structural complexity (e.g., sidechains, crossovers) and achieving efficient parallelized processing. A minimalist metadata interface simplifies project/plugin configuration. Experiments demonstrate the pipeline's validity through blind estimation of mixing graphs, plugin/gain parameters, and its ability to bridge AI research with practical DSP demands. The code is available on: https://github.com/IsaacYQH/WildFX.

Fourier ptychography (FP) is a powerful light-based synthetic aperture imaging technique that allows one to reconstruct a high-resolution, wide field-of-view image by computationally integrating a diverse collection of low-resolution, far-field measurements. Typically, FP measurement diversity is introduced by changing the angle of the illumination or the position of the camera; either approach results in sampling different portions of the target's spatial frequency content, but both approaches introduce substantial costs and complexity to the acquisition process. In this work, we introduce Inverse Synthetic Aperture Fourier Ptychography, a novel approach to FP that foregoes changing the illumination angle or camera position and instead generates measurement diversity through target motion. Critically, we also introduce a novel learning-based method for estimating k-space coordinates from dual plane intensity measurements, thereby enabling synthetic aperture imaging without knowing the rotation of the target. We experimentally validate our method in simulation and on a tabletop optical system.

Tech expert Kurt Knutsson says Hugging Face has launched affordable open-source humanoid robots for home AI exploration. Cable bills are only getting higher, and many people are looking for ways to save without losing access to their favorite shows. "Can you give me any tips on how to cut the cord? I have Verizon Fios right now. I am a senior on a fixed income."

MikeroweWORKS Foundation founder Mike Rowe joins'The Brian Kilmeade Show' to discuss how AI and robots threaten white-collar jobs, as the nation faces a need for blue-collar workers. Mike Rowe is sounding the alarm about the future of white and blue-collar jobs, and is urging young Americans to rethink their career choices due to threats from artificial intelligence. The former star of the shows "How America Works" and "Dirty Jobs" sat down with Fox News Radio host Brian Kilmeade to discuss the outlook for the U.S. job market amid recent developments from President Donald Trump's administration to invest in domestic energy and artificial intelligence. Trump visited Pittsburgh on July 15 to announce a 90 billion investment in data centers and other energy projects in Pennsylvania. Rowe was also present at the event, dubbed the Energy and Investment Summit, at Carnegie Mellon University.

Mallal says he wants to see a "broadly accessible and easy-to-use programme where artists are compensated for their work". Beeban Kidron, a cross-bench peer and leading campaigner against the government proposals, says AI film-making tools are "fantastic" but "at what point are they going to realise that these tools are literally built on the work of creators?" She adds: "Creators need equity in the new system or we lose something precious." YouTube says its terms and conditions allow Google to use creators' work for making AI models – and denies that all of YouTube's inventory has been used to train its models. Mallal calls his use of AI to make films "prompt craft", a phrase that uses the term for giving instructions to AI systems. When making the Ukraine film, he says he was amazed at how quickly a camera angle or lighting tone could be adjusted with a few taps on a keyboard.

Fox News anchor Bret Baier examines the U.S. power supply on'Special Report.' POWER UP: A new White House study warns that electricity prices may spike due to artificial intelligence demand if the United States does not boost energy output. TURNED OFF: Google is making a push to ensure its AI, Gemini, is tightly integrated with Android systems by granting it access to core apps like WhatsApp, Messages, and Phone. The rollout of this change started on July 7, 2025, and it may override older privacy configurations unless you know how to disable Gemini on Android. Here's what you need to know. OPINION: DIGITAL DOMINANCE: The global race to harness the power of artificial intelligence (AI) has begun.

"Eddington" is a slog, but a slog with ambitions--and its director and screenwriter, Ari Aster, is savvy enough to cultivate an air of mystery about what those ambitions are. His earlier chillers, "Hereditary" (2018) and "Midsommar" (2019), had their labyrinthine ambiguities, too, but they also had propulsive craft and cunning, plus a resolute commitment to scaring us stupid. Then came the ungainly "Beau Is Afraid" (2023), a cavalcade of Oedipal neuroses both showy and coy, in which Aster didn't seem to lose focus so much as sacrifice it on the altar of auteurism. With "Eddington," his high-minded unravelling continues. No longer a horror wunderkind, Aster, at thirty-nine, yearns to be an impish anatomist of the body politic.