IEEE

Interactive Channel Segmentation From 2-D Seismic Images Using Deep Learning and Conditional Random Fields

Abstract: In the exploration of oil and gas reservoirs, channels are important locations for storing oil and gas, and their distribution in the subsurface is usually heterogeneous. Therefore, ...
New Scientist

Human brain cells on a chip learned to play Doom in a week

Neuron-powered computer chips can now be easily programmed to play a first-person shooter game, bringing biological computers a step closer to useful applications ...
IEEE

Diverse Policy Learning via Random Obstacle Deployment for Zero-Shot Adaptation

Abstract: In this letter, we propose a novel reinforcement learning framework that enables zero-shot policy adaptation in environments with unseen, dynamically changing obstacles. Adopting the idea ...
Communications of the ACM

The ‘Matrix’ for Machines

Kamal Mann is a Software Architect with over 22 years of experience in Industry 4.0 systems. He currently advises on edge ...
Hackaday

Random Number Generator Uses Camera Noise

Random numbers are very important to us in this computer age, being used for all sorts of security and cryptographic tasks. [Theory to Thing] recently built a device to generate random numbers ...
Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Probability underlies much of the modern world—an engineering professor explains how it actually works

Probability underpins AI, cryptography and statistics. However, as the philosopher Bertrand Russell said, "Probability is the most important concept in modern science, especially as nobody has the ...