From industrial robots to self-driving cars, engineers face a common problem: keeping machines steady and predictable. When ...
Ryotatsu Yanagimoto, a scientist at NTT Research, led the research under the supervision of Peter L. McMahon, an associate professor at Cornell University. The paper, " Programmable On-Chip Nonlinear ...
Partnership with Cornell and Stanford pushes beyond paradigm where photonic devices perform only single, fixed tasks ...
This allows multiple optical functions on a single chip, unlocking new possibilities for tunable light sources, optical ...
I have come across various ways of defining Artificial Neural Networks (ANNs). Many of them miss a fundamental characteristic ...
In a groundbreaking leap for photonics, scientists have created the world’s first programmable nonlinear photonic waveguide, ...
The government shutdown is now the second-longest federal work stoppage in US history after 22 days and 11 failed Senate ...
The study departs from conventional mean-based economic forecasting by focusing on quantile prediction, a technique that ...
GXIG’s deep learning model is trained through a four-step process designed to establish an optimal architecture for analysis ...
A conductive hydrogel transforms its random internal structure into a secure, unclonable signature, addressing the challenge ...
A stable ‘frequency comb’ of photons with discrete colours has been generated on a microscale chip by removing copper contaminants from the circuit. The development of PICs was enabled by advances in ...