Researchers are leveraging the power of neural networks and symbolic regression to not only predict communication delays but also to distill those predictions into human-readable formulas.
New research demonstrates how artificially generated patient data can significantly improve the accuracy of models predicting cardiac events.
Despite remarkable advances in language processing, artificial intelligence consistently struggles to accurately interpret user intent, opening the door to manipulation and unexpected behavior.
Researchers are leveraging the power of differential equations to more accurately and efficiently forecast the movements of multiple celestial bodies.
New research reveals a universal indicator-critical slowing down-that can predict impending failure in a wide range of systems, from engineered infrastructure to natural ecosystems.
![A novel architecture integrates agentic artificial intelligence with blockchain governance, employing perception and [latex]LangChain[/latex]-based reasoning to inform action execution-managed by a mechanism called MCP-while utilizing blockchain evaluation to ensure systemic integrity.](https://arxiv.org/html/2512.20985v1/images/fig-arch.png)
This research introduces an architecture that uses blockchain technology to enhance the security, transparency, and accountability of artificial intelligence systems operating in real-world environments.
![Figure 2: System Workflow The system operates through a cyclical process of perception, planning, and action, where incoming sensory data informs a predictive model-described by [latex]P(\mathbf{x}_t | \mathbf{x}_{t-1})[/latex]-to anticipate future states and subsequently refine action selection through a learned policy, ultimately optimizing for desired outcomes within a dynamic environment.](https://arxiv.org/html/2512.20649v1/x2.png)
A novel system aims to establish a clear record of AI application activity, fostering accountability and mitigating risks in increasingly complex AI ecosystems.
A new approach combines machine learning and physics-based modeling to assess wildfire risk at the individual building level, factoring in both environmental conditions and structural vulnerabilities.
A new framework combines qualitative analysis of investor-founder conversations with machine learning to offer a more nuanced and accurate view of startup viability.
Researchers have developed a novel framework that blends the power of artificial intelligence with formal verification to ensure the safe and reliable operation of next-generation 5G networks.