Letting atomic simulations learn from phase diagrams

A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...
Analytics Insight

Explore Data Science This Weekend: Best YouTube Channels to Follow

Overview: Free YouTube channels provide structured playlists covering AI, ML, and analytics fundamentals.Practical coding demonstrations help build real-world d ...
Tech Xplore

AI energy use: New tools show which model consumes the most power, and why

AI users and developers can now measure the amount of electricity various AI models consume to complete tasks with an ...
PCMag UK

With Nvidia's GB10 Superchip, I’m Running Serious AI Models in My Living Room. You Can, Too

I’m a traditional software engineer. Join me for the first in a series of articles chronicling my hands-on journey into AI ...

IIT Delhi Opens Admissions for Third Batch of Certificate Programme in Applied Data Science and Artificial Intelligence

The Indian Institute of Technology (IIT) Delhi has announced admissions for the third batch of its Certificate Programme in ...
Tech Xplore

Study finds 'dosed' nonlinearity can beat linear and fully nonlinear AI

Umbrella or sun cap? Buy or sell stocks? When it comes to questions like these, many people today rely on AI-supported recommendations. Chatbots such as ChatGPT, AI-driven weather forecasts, and ...
marktechpost

A Coding Implementation to Establish Rigorous Prompt Versioning and Regression Testing Workflows for Large Language Models using MLflow

In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...
IEEE

Systematic Bias of Machine Learning Regression Models and Correction

Machine learning models for continuous outcomes often yield systematically biased predictions, particularly for values that largely deviate from the mean. Specifically, predictions for large-valued ...
GitHub

A Flexible Framework for Experiencing Cutting-edge LLM Inference Optimizations

KTransformers, pronounced as Quick Transformers, is designed to enhance your 🤗 Transformers experience with advanced kernel optimizations and placement/parallelism strategies. KTransformers is a ...
Wired

AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
International Monetary Fund

Nowcasting GCC GDP: A Machine Learning Solution for Enhanced Non-Oil GDP Prediction

This paper presents a machine learning–based nowcasting framework for estimating quarterly non-oil GDP growth in the Gulf Cooperation Council (GCC) countries. Leveraging machine learning models ...
Beebom

What is the Difference Between Deep Learning and Machine Learning

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...