AI News & Updates
A curated collection of the latest AI developments — model releases, research breakthroughs, tool reviews, and expert analysis. Stay ahead with the stories that matter.
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Proactive Road Safety Intervention in Australia: Predicting Risky Driving Hotspots from Connected Vehicle Data
Transport agencies in Australia have long depended on crash reports to spot dangerous roads, a method that only reveals problems after harm has already happened....
A decodability criterion predicts when hidden-state selection beats majority voting in large language models
When a language model generates several answers to the same prompt, the usual way to pick a final response is to count how often each...
DiSCO: Defending text-to-image generation through distribution-guided contrastive prompt optimization
Recent advances in text‑to‑image models have unlocked impressive creative capabilities, but they also open the door to unsafe outputs such as violence, nudity, or other...
Mr.Dec: Daily-Scale Longitudinal Multimodal Modeling for 30-Day Readmission Prediction
We need to write a blog post 400-600 words, using HTML with only allowed tags: , , , , . No or . Must not...
Detecting and Discriminating Operator Misspecification in Hybrid PDE-Parameter Learning: a Reference-Free Instrument, with Discrimination Bounded In Sample
When fitting hybrid PDE‑parameter models, practitioners often wonder whether a poor fit stems from an incorrect differential operator or simply from parameters that cannot be...
Runtime Governance for Agentic AI: Action-Boundary Control with Trusted Provenance and Fail-Closed Execution
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The Problem Is the Problem: Towards Scalable Mathematical Discovery
Mathematics has always relied on creative insight, but the rise of powerful AI models is shifting where that insight is needed most. As these models...
SW-ProxyCE: Zero-Query Adversarial Transfer from Public EEG Encoders to Private Downstream Models
We need to write a blog post about the paper with title "SW-ProxyCE: Zero-Query Adversarial Transfer from Public EEG Encoders to Private Downstream Models". Provide...
KernelArc: A Multi-Agent Framework for GPU Kernel Optimization
KernelArc introduces a multi‑agent system that autonomously tunes GPU kernels for diverse workloads. Instead of relying on a single optimizer, it runs several strategy‑focused agents...
Memory Is Communication: The Frontier Between Remembering and Signaling
When an agent makes a decision it can draw on two limited resources: what it remembers from its own past and what it learns from...
The Price of Thinking: Reasoning Effort as a Model-Specific API Contract
When you purchase access to a language model through an API, you are not just buying a model name; you are entering into a contract...
GxP-Agent: Process-DAG Topology for Reliable Clinical Trial Programming with LLM Agents
Clinical trial programming turns study protocols into analysis‑ready datasets that must obey CDISC standards, a step that often adds weeks to regulatory filings. Recent tests...
Position: AI Governance Needs ISO-like Interoperability Protocols, Not Just Laws
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Etched’s valuation doubles to $21B in a month
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Calibrated Trust, Not Sharper Prediction: An Empirical Test of Uncertainty Fusion
Legal scholars and technologists often argue that combining several uncertainty‑aware methods will make AI better at predicting court outcomes. A recent study puts that claim...
Position: Certified Correctness in Neural Constraint Reasoning Requires Symbolic Integration
Imagine a neural network that can solve Sudoku puzzles with near‑perfect accuracy on the examples it has seen during training, yet when presented with a...
Large Language Models Show Metacognitive Sensitivity in Medical Reasoning
The ability of a language model to gauge its own certainty can be as important as the answer it gives, especially when the stakes involve...
Forward Pass Domain Adaptation (Without Cross-Layer Backpropagation)
We need to write a blog post about a paper. Title: Forward Pass Domain Adaptation Pass Domain Adaptation (Without Cross-Layer Backpropagation). Provide HTML structure with...
PIKFNO: An Interpretable Neural Operator Based on Physics Informed Kernel Function
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DumpsterCluster: From Dumpster Diving to Serving LLaMA-70B on $60 GPUs
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