Machine learning enables customized plastics that could reduce environmental impact
About 100 million metric tons of high-density polyethylene (HDPE), one of the world's most commonly used plastics, are ...
Machine learning framework accelerates theoretical design of nonlinear optical materials
A research team from the Xinjiang Technical Institute of Physics and Chemistry of the Chinese Academy of Sciences has made ...
TechBullion10h
AI and Machine Learning Metrics Simplified Through Dynamic Charts
Artificial intelligence and machine learning are no longer abstract concepts confined to academic discussions but stand at ...
New headset reads minds and uses AR, AI and machine learning to help people with locked-in-syndrome communicate with loved ones again
According to IEEE.org this brain computer interface (BCI) is looking promising for giving paralyzed patients the ability to ...
Chromatography Online13h
Improving LC Method Development Using Machine Learning
Vrije Universiteit Brussel researchers led efforts to improve deep reinforcement learning (RL) for liquid chromatography (LC) ...
Machine learning could help predict adherence to HIV treatment in adolescents
Nearly 85% of the 1.7 million adolescents with HIV live in sub-Saharan Africa, along with half of the nearly 40 million ...
Targeted Oncology2d
Machine Learning Transforms Multicancer Detection Tests
This review discusses the current state of multicancer early detection tests, the role of machine learning in their ...
Fast Company10d
How machine learning can be used to identify microplastics
Data from microplastic analyses can inform health recommendations and policy decisions. Machine learning is one tool ...
Analytics Insight11d
The Role of Machine Learning in Strengthening Application Security
A researcher with expertise in cybersecurity, Vishwadeep Saxena explores the transformative impact of machine learning (ML) ...
College of Computing - Georgia Tech3d
Machine Learning Encoder Improves Weather Forecasting and Tsunami Prediction
Latent-EnSF outperformed three comparable models in assimilation speed, accuracy, and efficiency in shallow water wave ...
Tech Xplore on MSN7d
Machine learning precisely predicts material characteristics for high-performance photovoltaics
In the lab, perovskite solar cells show high efficiency in converting solar energy into electricity. In combination with ...
TechBullion3d
Bridging Security and Performance: Innovations in Privacy-Preserving Machine Learning
In this rapidly growing digital era, privacy-preserving machine learning (PPML) is revolutionizing data-driven applications ...