How Orchestration Helps Solve The Data Challenge Behind The Next Wave Of Automotive AI

The next frontier in automotive AI is about equipping vehicles to learn, adapt and evolve through orchestrated data that ...

How To Overcome The Confidence-Killer That Destroys Most Predictive AI Projects

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...
InfoQ

Google’s Eight Essential Multi-Agent Design Patterns

Google recently published a guide outlining eight essential design patterns for multi-agent systems, ranging from sequential ...
IEEE

PGC-Net: A Novel Encoder-Decoder Network With Path Gradient Flow Control for Cell Counting

Abstract: To carry out cell counting, it is common to use neural network models with an encoder-decoder structure to generate regression density maps. In the encoder-decoder structure, skip ...
IEEE

Encoder-Decoder Based Deep Reinforcement Learning for Multi-AUV Assisted Data Collection in UWSNs

Abstract: Reliable and timely data collection poses a significant challenge for underwater wireless sensor networks (UWSNs), primarily due to the extremely low data rate of underwater communication ...