Fine-grained spine reasoning needs fine-grained data. SpineMed introduces SpineMed-450k—the first large-scale dataset explicitly designed for vertebral-level reasoning across X-ray, CT, and MRI—plus SpineBench, a clinically grounded benchmark. Using clinician-in-the-loop curation and traceable instructions, the ecosystem supports Q&A, multi-turn consultations, and report generation. Why it matters: Evaluations
Some say synthetic CSAM has no victims. This paper shows why that’s dangerously wrong. The authors examine how AI-generated child sexual abuse material can revictimize known survivors, create synthetic depictions of children who were not abused, facilitate grooming and extortion, normalize exploitation, and lower barriers to offending. They caution
Fakes are getting scary good. This system fights back—smartly. UniShield is a multi-agent framework that detects and pinpoints image forgeries across manipulation, documents, DeepFakes, and AI-generated pics. Think of it like an airport with a smart dispatcher (perception agent) directing each bag to the right scanner (expert detectors), then
Plain-English explainer: Here’s what this new research means without technical jargon. In simple terms, the authors explore a problem that shows up in real systems and propose a way to handle it. Think of it like tuning a radio: with the right adjustment, the signal becomes clearer and small
Plain-English explainer: Here’s what this new research means without technical jargon. In simple terms, the authors explore a problem that shows up in real systems and propose a way to handle it. Think of it like tuning a radio: with the right adjustment, the signal becomes clearer and small
Plain-English explainer: Here’s what this new research means without technical jargon. In simple terms, the authors explore a problem that shows up in real systems and propose a way to handle it. Think of it like tuning a radio: with the right adjustment, the signal becomes clearer and small
Plain-English explainer: Here’s what this new research means without technical jargon. In simple terms, the authors explore a problem that shows up in real systems and propose a way to handle it. Think of it like tuning a radio: with the right adjustment, the signal becomes clearer and small
Plain-English explainer: Here’s what this new research means without technical jargon. In simple terms, the authors explore a problem that shows up in real systems and propose a way to handle it. Think of it like tuning a radio: with the right adjustment, the signal becomes clearer and small
Quick take: Self-Anchor: Large Language Model Reasoning via Step-by-step Attention Alignment To solve complex reasoning tasks for Large Language Models (LLMs), prompting-based methods offer a lightweight alternative to fine-tuning and reinforcement learning. However, as reasoning chains extend, critical intermediate steps and the original prompt will be buried in the context,
Quick take: Test-Time Defense Against Adversarial Attacks via Stochastic Resonance of Latent Ensembles We propose a test-time defense mechanism against adversarial attacks: imperceptible image perturbations that significantly alter the predictions of a model. Unlike existing methods that rely on feature filtering or smoothing, which can lead to information loss, we
Quick take: SpineBench: A Clinically Salient, Level-Aware Benchmark Powered by the SpineMed-450k Corpus Spine disorders affect 619 million people globally and are a leading cause of disability, yet AI-assisted diagnosis remains limited by the lack of level-aware, multimodal datasets. Clinical decision-making for spine disorders requires sophisticated reasoning across X-ray, CT,
Quick take: AI Generated Child Sexual Abuse Material - What's the Harm? The development of generative artificial intelligence (AI) tools capable of producing wholly or partially synthetic child sexual abuse material (AI CSAM) presents profound challenges for child protection, law enforcement, and societal responses to child exploitation. While