“The United States has a strong interest in continuing to develop a robust and competitive artificial intelligence industry that sets the standard for the…
Category: AI
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…