How do AI coding agents work? We look under the hood.

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Data Holds the Key in Slowing Age-Related Illnesses

More accurate and individualized health predictions will allow for preventative factors to be implemented well in advance.
IEEE

Hierarchical Reputation Consensus Model for VANET

Abstract: The vehicular ad hoc network (VANET) enables vehicles to disseminate messages to improve traffic safety and efficiency. However, the task of enabling consensus through synchronous ...
IEEE

Guided Cooperation in Hierarchical Reinforcement Learning via Model-Based Rollout

Abstract: Goal-conditioned hierarchical reinforcement learning (HRL) presents a promising approach for enabling effective exploration in complex, long-horizon reinforcement learning (RL) tasks through ...
InfoQ

Meta Details GEM Ads Model Using LLM-Scale Training, Hybrid Parallelism, and Knowledge Transfer

Meta released details about its Generative Ads Model (GEM), a foundation model designed to improve ads recommendation across ...

Why complex reasoning models could make misbehaving AI easier to catch

In a new paper from OpenAI, the company proposes a framework for analyzing AI systems' chain-of-thought reasoning to understand how, when, and why they misbehave.

Predictive Modeling: Techniques, Uses, and Key Takeaways

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
AlphaGalileo

Bayesian Spatial Modeling Enhances Precision of Forest Biomass Estimation

A research team introduces a hierarchical Bayesian spatial approach that integrates UAV and terrestrial LiDAR data to ...