Enterprise AI isn’t limited by models. Companies can run test pilot programs, execute common tasks, and implement proof-of-concept models much faster than…
Category: AI
Beyond Prompting: Efficient and Robust Contextual Biasing for Speech LLMs via Logit-Space Integration (LOGIC)
arXiv:2601.15397v3 Announce Type: replace Abstract: The rapid emergence of new entities — driven by cultural shifts, evolving trends, and personalized…
AI Still Needs a Coach and Human Oversight Needs a Playbook
AI is everywhere you look, and professional football is no exception. The NFL has introduced the Digital Athlete, which uses data and AI to help teams…
Timely Clinical Diagnosis through Active Test Selection
arXiv:2510.18988v5 Announce Type: replace Abstract: There is growing interest in using machine learning (ML) to support clinical diagnosis, but most…
Domain-Specific Hallucination Detection in Large Language Models
arXiv:2609.11878v1 Announce Type: cross Abstract: Large language models generate fluent text that can contain unfaithful claims — a phenomenon known as…
Biology-in-the-loop: Amortized Adaptive Hit Discovery in CRISPR Screens
arXiv:2609.11877v1 Announce Type: cross Abstract: Many biological discovery problems require experiments to be selected sequentially under constrained…
Generative Marketing Mix Modeling: A Causal Inference Framework Linking GEO and GEM to Business Impact
arXiv:2609.11915v1 Announce Type: cross Abstract: Generative artificial intelligence changes how firms reach customers, but standard marketing data do not…
The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement
arXiv:2609.11873v1 Announce Type: cross Abstract: Recursive self-improvement (RSI) enables AI systems to turn experience and feedback into persistent…
OpenAI’s Sam Altman says it would be ‘ill-advised’ to go public in 2026
While OpenAI has filed confidentially for an IPO, the company will not be going public this year, according to CEO Sam Altman.
General Quantification of Covariate and Concept Shifts
arXiv:2609.11918v1 Announce Type: cross Abstract: Generalization under distribution shift remains a core challenge in modern machine learning, yet…