Phys.org

Machine learning method uses nonlinear optics and structured light to expand information network accuracy and capacity

Structured light can significantly enhance information capacity, due to its coupling of spatial dimensions and multiple degrees of freedom. In recent years, the combination of structured light ...
University of Geneva

PhD positions: Machine Learning in participe physics and astro-physics

The Stochastic Information Processing Group (SIP) ( http://sip.unige.ch ), University of Geneva, Switzerland, has two open PhD positions in machine learning in the scope of Swiss Synergia Project ...
EurekAlert!

Ateneo machine learning lab opens doors to industry partners, collaborators

The Ateneo Laboratory for Intelligent Visual Environments (ALIVE) is eager to co-develop machine learning solutions with ...
Semiconductor Engineering

Developing ReRAM As Next Generation On-Chip Memory For Machine Learning, Image Processing And Other Advanced CPU Applications

In modern CPU device operation, 80% to 90% of energy consumption and timing delays are caused by the movement of data between the CPU and off-chip memory. To alleviate this performance concern, ...
mccormick.northwestern.edu

BME 414: Deep Learning for Biomedical Imaging

Good knowledge of programming (Python including familiarity with PyTorch); basic knowledge of linear algebra and calculus; basic knowledge of image processing and machine learning is preferred MS, PhD ...
Purdue University

AI and Machine Learning

The AI and Machine Learning major is one of two specialized majors in Purdue University’s 100% online Master of Science in Artificial Intelligence program. This major equips you with advanced ...