15 primary articles · 7 secondary mentions
S&P Global has downgraded Oracle’s credit rating to “BBB-“ due to concerns that OpenAI represents a significant financial risk. According to S&P Global, OpenAI accounts for roughly half of Oracle’s...
A massive security breach has exposed credentials for thousands of sensitive networks, affecting high-profile organizations including Oracle, Lenovo, FedEx, and a NATO contractor. This incident raises urgent concerns about cybersecurity...
Problem This paper addresses the gap in understanding the verification capabilities of test files generated by AI coding agents in open-source pull requests (PRs). Despite the proliferation of agent-authored PRs—over...
Cognizant has announced its collaboration with Oracle Recruiting to implement AI-led hiring solutions across 60 countries. This strategic move aims to streamline and enhance the recruitment process, enabling Cognizant to...
A newly discovered 0-day vulnerability in Oracle’s PeopleSoft software poses a severe threat to hundreds of organizations, allowing attackers to steal gigabytes of sensitive data. This issue has emerged at...
Problem — The paper addresses the gap in time series forecasting methods that assume future observation timestamps are known, which is often unrealistic in real-world scenarios. Existing techniques, including Neural...
Problem The paper addresses the limitations of existing algorithms for contextual queueing bandits, which achieve a queue length regret of $\widetilde{\mathcal{O}}(T^{-1/4})$. This work is particularly relevant as it is a...
Problem This work addresses the gap in lidar semantic scene completion (SSC) performance enhancement without necessitating complex architectural changes. The authors highlight that existing literature often overlooks the potential of...
Oracle’s Executive Vice President, Clay Magouyrk, has made a compelling case for the necessity of building and scaling AI data centers, asserting that this infrastructure is crucial for enhancing the...
Problem This paper addresses the challenge of instance selection for labeling in low-label tabular learning, particularly in the cold-start scenario where no labeled instances are available. The authors note that...
Problem This preprint addresses a significant gap in the interpretability of language models, specifically focusing on the uncertainty quantification (UQ) of activation oracles. While activation oracles have shown promise in...
Problem This paper addresses the gap in the literature regarding embodied spatial intelligence, specifically the perception-action loop where agents actively explore their environment rather than passively observing it. The authors...
Problem This paper addresses a significant gap in the understanding of query complexity in min-max optimization, particularly for nonconvex-nonconcave functions. The authors demonstrate that existing algorithms for finding approximate stationary...
In a recent development at Oracle, laid-off employees are facing challenges in negotiating better severance packages after the company denied their requests. This situation is particularly significant as it highlights...
Problem This preprint addresses a significant gap in the understanding of Mixture-of-Experts (MoE) models, specifically regarding the conditions that lead to a healthy expert ecology versus the collapse into dead...
