Media
BREATH: A Bio-Radar Embodied Agent for Tonal and Human-Aware Diffusion Music Generation
Wang, Yunzhe, Tang, Xinyu, Huang, Zhixun, Yue, Xiaolong, Zeng, Yuxin
We present a multimodal system for personalized music generation that integrates physiological sensing, LLM-based reasoning, and controllable audio synthesis. A millimeter-wave radar sensor non-invasively captures heart rate and respiration rate. These physiological signals, combined with environmental state, are interpreted by a reasoning agent to infer symbolic musical descriptors, such as tempo, mood intensity, and traditional Chinese pentatonic modes, which are then expressed as structured prompts to guide a diffusion-based audio model in synthesizing expressive melodies. The system emphasizes cultural grounding through tonal embeddings and enables adaptive, embodied music interaction. To evaluate the system, we adopt a research-creation methodology combining case studies, expert feedback, and targeted control experiments. Results show that physiological variations can modulate musical features in meaningful ways, and tonal conditioning enhances alignment with intended modal characteristics. Expert users reported that the system affords intuitive, culturally resonant musical responses and highlighted its potential for therapeutic and interactive applications. This work demonstrates a novel bio-musical feedback loop linking radar-based sensing, prompt reasoning, and generative audio modeling.
AutoGraph-R1: End-to-End Reinforcement Learning for Knowledge Graph Construction
Tsang, Hong Ting, Bai, Jiaxin, Huang, Haoyu, Xiao, Qiao, Zheng, Tianshi, Xu, Baixuan, Liu, Shujie, Song, Yangqiu
Building effective knowledge graphs (KGs) for Retrieval-Augmented Generation (RAG) is pivotal for advancing question answering (QA) systems. However, its effectiveness is hindered by a fundamental disconnect: the knowledge graph (KG) construction process is decoupled from its downstream application, yielding suboptimal graph structures. To bridge this gap, we introduce AutoGraph-R1, the first framework to directly optimize KG construction for task performance using Reinforcement Learning (RL). AutoGraph-R1 trains an LLM constructor by framing graph generation as a policy learning problem, where the reward is derived from the graph's functional utility in a RAG pipeline. We design two novel, task-aware reward functions, one for graphs as knowledge carriers and another as knowledge indices. Across multiple QA benchmarks, AutoGraph-R1 consistently enables graph RAG methods to achieve significant performance gains over using task-agnostic baseline graphs. Our work shows it is possible to close the loop between construction and application, shifting the paradigm from building intrinsically ``good'' graphs to building demonstrably ``useful'' ones.
STANCE: Motion Coherent Video Generation Via Sparse-to-Dense Anchored Encoding
Chen, Zhifei, Xu, Tianshuo, Wu, Leyi, Wang, Luozhou, Yan, Dongyu, You, Zihan, Luo, Wenting, Zhang, Guo, Chen, Yingcong
MIT Figure 1: Videos generated by ST ANCE. Controls yield physically meaningful edits while preserving appearance: increasing mass can reverse collision outcomes, larger speeds produce longer travel and earlier contact, and rotating the arrow reorients trajectories and shifts contact points; z disambiguates out-of-plane intent under camera motion. Examples span both simple collision setups and realistic scenes, including gentle pushes that dislodge or trigger collisions. Video generation has recently made striking visual progress, but maintaining coherent object motion and interactions remains difficult. We trace two practical bottlenecks: (i) human-provided motion hints (e.g., small 2D maps) often collapse to too few effective tokens after encoding, weakening guidance; and (ii) optimizing for appearance and motion in a single head can favor texture over temporal consistency. First, we introduce Instance Cues--a pixel-aligned control signal that turns sparse, user-editable hints into a dense 2.5D (camera-relative) motion field by averaging per-instance flow and augmenting with monocular depth over the instance mask. This reduces depth ambiguity compared to 2D drag/arrow inputs while remaining easy to user. Second, we preserve the salience of these cues in token space with Dense RoPE, which tags a small set of motion tokens (anchored on the first frame) with spatial-addressable rotary embeddings.
This Is Just the Internet Now
T he prompts read like tiny, abstract poems. The scenes come to life before my eyes in the form of AI-generated video. The videos pop up instantly--before my brain has had time to picture the prompts using my own imagination, as if the act of dreaming has been rendered obsolete, inefficient. I am experiencing Vibes, a new social network nested within the Meta AI app--except it's devoid of any actual people. This is a place where users can create an account and ask the company's large language model to illustrate their ideas. The resulting videos are then presented, seemingly at random, to others in a TikTok-style feed.
'Every kind of creative discipline is in danger': Lincoln Lawyer author on the dangers of AI
'Every kind of creative discipline is in danger': Lincoln Lawyer author on the dangers of AI Michael Connelly says tech is moving so fast that he feared his new novel would seem'archaic' before it was published H e is one of the most prolific writers in publishing, averaging more than a novel a year. But even Michael Connelly, the author of the bestselling Lincoln Lawyer series, feared he might fall behind when writing about AI. Connelly's eighth novel in the series, to be released on Tuesday, centres on a lawsuit against an AI company whose chatbot told a 16-year-old boy that it was OK for him to kill his ex-girlfriend for being unfaithful. But as he was writing, he witnessed the technology altering the way the world worked so rapidly that he feared his plot might become out of date. "You don't have to lick your finger and hold it up to the wind to know that AI is a massive change that's coming to science, culture, medicine, everything," he said.
Beware the eye in the sky! AI traffic cop catches thousands of drivers texting behind the wheel
Marjorie Taylor Greene's revenge mission: Ex-GOP strategist reveals why firebrand has turned on Trump administration Accountant arrested after'opening fire on MAGA supporter' in row over Trump sign... as victim recalls bullets whizzing past his head'Half the internet' goes down after Amazon cloud outage leaving millions unable to use Ring, Alexa, and banking apps - as experts say we'can't rule out a cyberattack' This is exactly how I look this good at 68 - and you can too: World-famous make-up guru BOBBI BROWN reveals her 10 beauty tricks to hide wrinkles, tighten skin... and the one thing that's almost as good as a facelift Shocking behavior that led to little girl's horror plunge from Disney cruise ship is revealed for first time Keri Russell, 49, SLAMS plastic surgery trends in Hollywood and admits it feels'strange' to look natural Doctors expose the truth about melatonin... as terrifying side-effects soar Trump drops expletive as he issues blunt response to millions of'No Kings' protesters Shock new twist in death of ex-NFL star Doug Martin, 36, as it emerges he died'after brief struggle with police' How I lost 4st fast WITHOUT weight-loss jabs. Virginia Giuffre's memoir appears in book shops a day early: Prince Andrew accuser details multiple encounters with the disgraced royal and reveals how her traumatic childhood made her'perfect victim' for Epstein Greedy waitress chases down customer and calls cops because he didn't tip her: 'Who said he's obligated to tip?' Bailey Zimmerman debuts new cosmetic procedure after revealing he's been'insecure' about it since childhood Are you anxious, tired and have difficulty concentrating? You could be suffering from this common but widely misunderstood condition - and here's how to help yourself: DR MAX PEMBERTON Biden's former mouthpiece Karine Jean-Pierre reveals how ex-president left her'enraged and heartbroken' as she turns on Democrats Sarah Ferguson could turn on Andrew to'save her own skin' if cash runs low - as he faces potential police probe into'dirt digging' after losing his titles Sharon Stone played her mother who tied her to a bed to go party now the real daughter tells the story'Casino' didn't dare show Beware the eye in the sky! READ MORE: How AI cops are already patrolling Britain's streets Whether it's sending a quick text or casting an eye over your emails, those tempted to look at their phone while driving are finally being caught out. UK trials of an AI'traffic cop' have successfully detected thousands of drivers using their phone behind the wheel.
When Everything Is Fake, What's the Point of Social Media?
When Everything Is Fake, What's the Point of Social Media? Earlier this week, a heartwarming post about a girl, a puppy, and a police officer went viral across social media platforms. The post consisted of two dashcam images of a distraught 12-year-old who, desperate to heal her sick puppy, got behind the wheel for the first time and tried to drive to the vet. She was pulled over, but commended by a police officer for being "amazing, strong, compassionate, and smart," and the puppy was saved. Comments flooded in celebrating the bond between a girl and her furry best friend.
China's rare earth restrictions aim to beat U.S. at its own game
China's rare earth restrictions aim to beat U.S. at its own game Magnetic slices made from rare earth metals. Beijing last week announced a sweeping set of rules that are set to restrict the flow of rare earths worldwide. WASHINGTON - Over the past three years, Washington has claimed broad power to impose global rules that bar companies anywhere in the world from sending cutting-edge computer chips or the tools needed to make them to China. U.S. officials have argued that approach is necessary to make sure China does not gain the upper hand in the race for advanced artificial intelligence. But a sweeping set of restrictions announced by Beijing last week showed that two can play that game.