Self-hosted speech AI carries an observability trade-off: the numbers that drive capacity planning and cost management stay locked inside the vendor…
Author: script
Toward a New Science of AI as Cognitive Infrastructure
arXiv:2507.22893v3 Announce Type: replace-cross Abstract: Contemporary human-AI interaction research overlooks how AI systems fundamentally reshape human…
Reduce ASR inference costs by 75% with NVIDIA MPS on Amazon EC2
Serving automatic speech recognition (ASR) models at scale is costly when each request uses only a fraction of a GPU. Learn how NVIDIA CUDA Multi-Process…
Recurrence Meets Transformers for Universal Multimodal Retrieval
arXiv:2509.08897v3 Announce Type: replace-cross Abstract: With the rapid advancement of multimodal retrieval and its application in LLMs and multimodal…
From Accuracy to Robustness: A Study of Rule- and Model-based Verifiers in Mathematical Reasoning
arXiv:2505.22203v3 Announce Type: replace-cross Abstract: Trustworthy verifiers are essential for the success of reinforcement learning with verifiable…
Residual Reward Models: Leveraging Prior Knowledge for Efficient Preference-based Reinforcement Learning in Robotics
arXiv:2507.00611v2 Announce Type: replace-cross Abstract: Preference-based Reinforcement Learning (PbRL) provides a promising alternative to heuristic…
Temporally-Grounded Language Generation: Towards Real-Time Vision-Language Models
arXiv:2505.11326v2 Announce Type: replace-cross Abstract: Vision-language models (VLMs) have shown remarkable progress in offline tasks such as image…
From In-Silico to Wet-Lab: Evaluating AI Protein Design Performance
In this tutorial, we analyze Anthropic’s 1,440 AI-designed protein binder dataset to benchmark 10 leading structure predictors. Discover how target…
HybridProver: Augmenting Theorem Proving with LLM-Driven Proof Synthesis and Refinement
arXiv:2505.15740v2 Announce Type: replace-cross Abstract: Formal methods play a crucial role in ensuring the reliability of critical systems through…
OpenAI researcher warns ultrafast AI could leave security teams in the dust
An OpenAI researcher warns that state-of-the-art AI models running 50 times faster could infiltrate systems before human teams can react. Simple…