Three ways AI is learning to understand the physical world

Large language models lack grounding in physical causality — a gap world models are designed to fill. Here's how three distinct architectural approaches (JEPA, Gaussian splats, and end-to-end ...

Controlling the pinewood nematode: Finding the best balance between cost and effectiveness

The pinewood nematode (Bursaphelenchus xylophilus) is the most devastating parasite of pine forests across Eurasia. To combat ...

New approach improves precipitation accuracy for hydrological models

Hydrological models represent water movement in natural systems, and they are important for water resource planning and management. But the models depend on reliable input data for weather factors, ...
IEEE

A Dense Retrieval Model Training Method Combining Matryoshka Representation Learning and Knowledge Distillation

Abstract: Recently, Retrieval-Augmented Generation (RAG) driven by Large Language Model (LLM) has gained significant attention. RAG-based systems retrieve information from a large document corpus, ...
Semiconductor Engineering

Pathfinding Method That Models ECC Overhead for Chiplet Interconnects (UCLA)

A new technical paper, “Link Quality Aware Pathfinding for Chiplet Interconnects,” was published by researchers at UCLA. Abstract “As chiplet-based integration advances, designers must select among ...
IEEE

ANN-Assisted Model Predictive Control Method for IPMSM Drive Using Torque-Deviations Mapping

Abstract: The high performance of conventional model predictive control (CMPC) for electric drives depends on the fidelity of the machine’s parametric model. However, the parameters of the interior ...