How 2025 Recalibrated AI Models Race

In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...
The Brighterside of News on MSN

AI models tested in a classic economics game reveal major differences from human thinking

We are living at a time when large language models increasingly make choices once reserved for people. From writing emails to ...
CNET

How Smart Do We Want AI to Be? World Models May Understand Things Better Than We Do

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

Testing AI logic in biomedical research

Manchester researchers have developed a systematic methodology to test whether AI can think logically in biomedical research, ...
IEEE

A Logic Circuit-Based Intrusion Detection System Using a Dendritic Neural Model Ensemble

Abstract: An intrusion detection system (IDS) plays a crucial role in network security by distinguishing hostile activities from network traffic. Conventional hardware-based IDS architectures have ...
Microsoft

Self-explaining deep models with logic rule reasoning

We present SELOR, a framework for integrating self-explaining capabilities into a given deep model to achieve both high prediction performance and human precision. By “human precision”, we refer to ...
IEEE

Distributed Model Predictive Control for Probabilistic Signal Temporal Logic Specifications

Abstract: This paper proposes a distributed model predictive control (DMPC) for a class of discrete-time stochastic multi-agent systems subject to partially coupled temporal logic tasks. For each ...