“The United States has a strong interest in continuing to develop a robust and competitive artificial intelligence industry that sets the standard for the…
DISTAL: Distillation and Self-Supervised Pretraining for Structure-Agnostic Materials Property Prediction
arXiv:2609.00059v1 Announce Type: cross Abstract: Materials property prediction remains difficult in low-data settings, where many target properties are…
REAL-Q: E2E LLM Quantization via Dynamic Gradient Descent
arXiv:2609.00049v1 Announce Type: cross Abstract: Post-training quantization (PTQ) is essential for deploying large language models (LLMs) under strict…
ValueGraph: Value-Signal Guided Graph Pre-training for Contextualized User Representation
arXiv:2609.00057v1 Announce Type: cross Abstract: Value signals are aggregated user-level moral representations that capture users’ inferred value-related…
iPronics Raises $125M Series B to Scale Optical Networking for AI Data Centers
iPronics has raised $125 million in Series B funding to accelerate the commercial deployment of its programmable optical networking technology for…
Towards Agentic Cloud Engineering: Graph and Loop Engineering with a Zero-Trust Agent Harness
arXiv:2609.00050v1 Announce Type: cross Abstract: Agentic AI is enabling cloud-based workflows in which autonomous agents reason over operational state,…
Gemini 3.8 Flash is Google’s third budget model in six weeks while frontier models remain MIA
Google’s Gemini 3.8 Flash, the third Flash model in six weeks, matches Claude Opus 5 on some agentic coding benchmarks at lower cost. But its “working…
Zero-Shot Respiratory Sound Classification through LLM-Augmented Audio-Text Alignment
arXiv:2609.00055v1 Announce Type: cross Abstract: Self-supervised respiratory encoders lack semantic grounding in clinical domain needed for zero-shot…
Lutnick Declares Administration’s Trust in Anthropic at G20 Meeting
Commerce Secretary Howard Lutnick said the Trump administration now trusts Anthropic, telling Axios in an interview on September 1, 2026, that the AI…
From Detection to Refusal: Safer LLMs via Circuit-Guided Weight Scaling
arXiv:2609.00051v1 Announce Type: cross Abstract: Despite extensive alignment efforts, Large Language Models (LLMs) remain vulnerable to generating unsafe…
AI News Brief Hourly Summary 2026-09-02 19h : 19 posts
19 posts published in the last hour 16:33Task-Specific Prompt with Global Context for Multi-Task Graph Pre-Training 16:33Motional and MIT AI explains self-driving car decisions 16:33RAPIDMap: Rapid Multi-Agent Pipeline for Interpretable Disaster Mapping from Satellite and Street-view Imagery 16:33Wonderful more than…
Task-Specific Prompt with Global Context for Multi-Task Graph Pre-Training
arXiv:2609.00047v1 Announce Type: cross Abstract: Graph prompt learning is an effective paradigm to adapt pre-trained graph models to downstream tasks in…
Motional and MIT AI explains self-driving car decisions
Motional and MIT researchers have built a system that lets self-driving cars explain their decisions in real-time, tackling the black-box problem in…
RAPIDMap: Rapid Multi-Agent Pipeline for Interpretable Disaster Mapping from Satellite and Street-view Imagery
arXiv:2609.00046v1 Announce Type: cross Abstract: Rapid and reliable disaster mapping of impacted areas, damaged infrastructure, and affected populations…
Wonderful more than doubles its valuation to $5B in under 6 months
Wonderful’s $550M Series C was led by Insight Partners, with Salesforce, Index Ventures, IVP, Vine Ventures, 9Yards and Bessemer participating.
GUI-CC: Benchmarking Contextual Consistency of GUI World Models as Agent Environments
arXiv:2609.00048v1 Announce Type: cross Abstract: GUI world models are increasingly evaluated as one-step next-screen predictors, yet their intended use…
Introducing Gemini 3.8 Flash and 3.8 Flash Cyber
This post has no text preview — click the link below to read the original article. This article has been indexed from Google DeepMind News Read the original article: Introducing Gemini 3.8 Flash and 3.8 Flash Cyber
Behaviorally Grounded User Profiles from the Wild for Personalized Alignment and Multi-Perspective Reasoning
arXiv:2609.00014v1 Announce Type: cross Abstract: Persona-driven techniques increasingly adapt large language models (LLMs) to diverse contexts. However,…