arXiv:2608.18539v1 Announce Type: cross Abstract: The remarkable capabilities of large language models (LLMs) are often undermined by their instability.…
Category: AI
Inertia Enterprises finds a way to make its fusion fuel fast
Fusion power startup Inertia Enterprises reduced the fuel filling process from a week to just a few hours. It’s one of ten hurdles the company must…
Prior-Conditioned Gaussian Discriminants for Generalizable AI-generated Image Detection
arXiv:2608.18523v1 Announce Type: cross Abstract: Diffusion-based generators have made synthetic images ubiquitous, but detectors often fail under…
Broadening access to Skala creates a faster path to predictive DFT
Skala 1.1, the updated deep-learning exchange-correlation functional from Microsoft Research, provides greater accuracy, expanded accessibility across the…
GCNO: Gramian Chebyshev Neural Operator for Physics-Based Compression of Wireless Channels
arXiv:2608.18522v1 Announce Type: cross Abstract: Large antenna arrays allow wireless systems to serve more users and achieve higher data rates, but they…
How ChatGPT Work helps Stampli move ideas to market
With a fixed deadline and design resources committed elsewhere, Stampli used Codex and ChatGPT Work to compress weeks of launch production into days.
DART-SD: Diamond-topology Aware Retrieval and Tuning for Self-Distillation of Multi-Turn Tool-Calling Agents
arXiv:2608.18524v1 Announce Type: cross Abstract: Equipping Large Language Models (LLMs) with multi-turn tool-calling capabilities is essential for…
ERASE: EaRly bAckpropagation SchEdule for Faster Training of Modern Recommendation Systems
arXiv:2608.18469v1 Announce Type: cross Abstract: Lightweight proxy models enable rapid experimentation without repeatedly training frontier-scale…
Coverage-Driven RTL Assertion Generation with Formal Exploration and Neuro-Symbolic Refinement
arXiv:2608.18482v1 Announce Type: cross Abstract: Hardware functional verification relies on high-quality assertions to expose design bugs and establish…
Science Done on a Machine by a Machine: AI Agents in Computational Chemistry
arXiv:2608.18508v1 Announce Type: cross Abstract: We are witnessing an explosion of agentic systems for computational chemistry simulations: from half a…
