WATCH: A New Framework for Continually Monitoring AI Systems with Weighted-Conformal Martingales
As AI systems become increasingly integrated into high-stakes applications, ensuring their reliability post-deployment is critical. Traditional methods often focus on
How Malicious RL Fine-Tuning Can Break AI Safety Guardrails — And How to Stop It
Large language models (LLMs) are increasingly fine-tuned using reinforcement learning (RL) to improve their capabilities, but this same optimization power
Audio-SDS: How AI is Revolutionizing Sound Synthesis and Separation
Imagine being able to tweak a synthesizer to sound exactly like a 'warm bass note' just by typing
EchoInk-R1: How Reinforcement Learning is Teaching AI to 'Hear' and 'See' Like Humans
The Multimodal Reasoning Breakthrough You Didn't See (Or Hear) Coming
Imagine an AI that doesn't just
FlexiAct: The AI That Brings Any Image to Life with Custom Actions
FlexiAct: The AI That Brings Any Image to Life with Custom Actions
Imagine taking a static image—a cartoon character,
ViSafe: A Vision-Only System for High-Speed Airborne Collision Avoidance
In the rapidly evolving world of autonomous aerial systems, ensuring safe separation between airborne vehicles is a critical challenge—especially
VITA-Audio: The First Real-Time Speech Model with Zero Audio Token Delay
The Future of Human-Computer Interaction Just Got Faster
Imagine a world where AI assistants respond to your voice as naturally
SIM-RAG: Teaching AI When to Stop Searching and Start Answering
The Problem with Overconfident AI
Retrieval-augmented generation (RAG) systems have become the workhorses of enterprise AI, combining the knowledge of
Privacy Risks and Preservation Methods in Explainable AI: A Scoping Review
Explainable Artificial Intelligence (XAI) has emerged as a critical component of Trustworthy AI, aiming to bring transparency to complex, opaque
LISAT: The AI That Can Understand and Segment Satellite Imagery Like Never Before
Satellite imagery has long been a critical tool for everything from disaster response to urban planning. But while segmentation models—