Machine learning speeds up prediction of materials' spectral properties
Many techniques in computational materials science require scientists to identify the right set of parameters that capture ...
Scientists use machine learning to develop an opener for a molecular can
In an era of medical care that is increasingly aiming at more targeted medication therapies, more individual therapies and ...
techxplore on MSN10d
Self-supervised machine learning adapts to new tasks without retraining
The field of machine learning is traditionally divided into two main categories: "supervised" and "unsupervised" learning. In supervised learning, algorithms are trained on labeled data, where each ...
Build a Vision App Using Ollama Structured Outputs
Explore how Ollama’s structured outputs and local processing models can revolutionize your app development process.
Computer models are vital for studying everything from climate change to disease – here’s how AI could make them even better
However, after a model is trained, using it to make predictions is comparatively fast and cheap. The results show that AI can ...
Psychology Today1d
Using AI to Predict Health and Longevity
A new study evaluates 17 different AI algorithms to determine which ones were best at predicting biological age from human ...
techexplorist13d
Most recent Large Language Models remain vulnerable to simple manipulations
Researchers from the School of Computer and Communication Sciences’ Theory of Machine Learning Laboratory (TML) conducted a ...
Visual Studio Magazine3h
Random Forest Regression and Bagging Regression Using C#
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random forest regression ...
AI And The Municipal Bond Market: Algorithmic Trading & AI Predictions
Noting AI and algorithmic trading are liquifying the municipal odd lot market (an odd lot is a block of bonds trading at $100 ...
Science Daily24d
Not so simple machines: Cracking the code for materials that can learn
Li and Mao used their algorithm and a simple experimental ... akin to what's done in machine learning on computers, to train their MNNs. In one example of this, different input forces corresponded ...
Delivering Dividends Through Digital Technology
Digital twins are also leveraged during real-time operations. Instead of the model being fed with simulated data, real-time ...