arXiv:2608.17618v1 Announce Type: cross Abstract: Learning analytics models can identify students at risk of poor performance, but they do not directly…
Author: script
HarnessRisk: A Lifecycle-Oriented Benchmark for Agent Harness Safety
arXiv:2608.17597v1 Announce Type: cross Abstract: Large language models are increasingly deployed through agent harnesses that manage tools, extensions,…
Meet the startup helping Wall Street put a price on AI compute
The AI buildout shows no signs of slowing. And with hundreds of billions of dollars a year going into data centers and GPUs, compute has become the single…
Multi-turn Conversational AI from Text to Multimodal Interaction: Data, Models, Evaluation, and Open Challenges
arXiv:2608.17605v1 Announce Type: cross Abstract: Conversational AI is moving beyond isolated text prompts toward sustained, multimodal interaction. In…
Offering Zero Data Retention for frontier models
OpenAI reaffirms Zero Data Retention for eligible API customers and previews Private Safety Processing for advanced AI safety without compromising data…
Iterative Grasp Pose Refinement: A Deep Reinforcement Learning Approach for 2D Vision
arXiv:2608.17628v1 Announce Type: cross Abstract: Developing robots capable of understanding and manipulating objects requires compact, interpretable, and…
Rob Collie, CEO and Founder, P3 Adaptive and Author of Fair Game – Interview Series
Rob Collie is the founder and CEO of P3 Adaptive, a Microsoft Solutions Partner for Data and AI that serves hundreds of mid-market and Fortune 1000…
DEPT: Document Embedding Preservation Tuning for Unified Query Expansion and Retrieval
arXiv:2608.17632v1 Announce Type: cross Abstract: Large language models (LLMs) can both expand underspecified queries and encode text as dense…
Domain-Adapted Molecular Language Models for Efficient Search of Make-on-Demand Libraries
arXiv:2608.17567v1 Announce Type: cross Abstract: Pretrained molecular language models are increasingly used as molecular encoders for learning…
No Gaussian Required: Contrastive Inverse Dynamics for JEPA World Models
arXiv:2608.17542v1 Announce Type: cross Abstract: Joint-Embedding Predictive Architectures (JEPAs) learn world models by predicting future embeddings, but…