In their town, the internet is available, devices are common, but AI remains an idea, a distant tool rather than a skill they ...

A new AI makerspace at UNL is designed to spark creativity, research and ethical exploration of artificial intelligence. It puts Nebraska in a unique position to lead the Midwest in ...

RULER (Relative Universal LLM-Elicited Rewards) eliminates the need for hand-crafted reward functions by using an LLM-as-judge to automatically score agent trajectories. Simply define your task in the ...

Overview AI growth in 2025 relies heavily on large, open, and legal datasets.Combining text and image data enables smarter, ...

Agentic CPT is a new training framework that enables open-source models to match the performance of leading proprietary deep ...

We’re often seduced by data. Charts, dashboards, surveys and analytics seem like the ultimate way to understand customers.

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a chatbot is more humanlike and aware than it actually is, like believing it's ...

The results of the 2025 NMT revealed a deep crisis in school education—massive failures in mathematics, poor knowledge of ...

Abstract: Synthetic aperture radar (SAR) image target detection and recognition (SAR-TDR) tasks have become research hot spots in the remote sensing application. These targets include ships, vehicles, ...

AI is a set of algorithms capable of solving problems. But how relevant are they to the tasks that EDA performs?

Abstract: In this paper, we introduce Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning (Dist-QTRL), a novel approach to addressing the scalability challenges of traditional ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...