Democratizing AI adoption with Tether’s Bitnet LLM fine-tuning framework

While tech giants lock smaller businesses out of advanced AI, Tether is using localized fine-tuning and P2P networks to democratize superintelligence for billions of people.
Kennesaw State University

Student research uses machine learning to improve heart disease diagnosis

Kennesaw State University student Josiah Ware is helping turn CT scans into digital models of the human heart, research that could one day help doctors detect problems faster and personalize treatment ...
IEEE

Benchmarking Machine Learning Methods Against Finite Element and Empirical Models for Predicting Solder Joint Characteristic Life

Abstract: Accurate prediction of solder joint characteristic life is crucial for ensuring the reliability of electronic assemblies, especially under severe environmental conditions. This study ...
Stocktwits on MSN

Pasqal demonstrates logical qubits outperform physical qubits solving differential equations — an industry first for neutral-atom quantum computing

Pasqal Holding SAS (“Pasqal”) today announced new research showing a more advanced approach to quantum computing that can deliver significantly better results on practical problems. For the first time ...

Predictive Analytics: Key Models and Practical Applications

Discover how predictive analytics uses data-driven models like decision trees and neural networks to forecast outcomes and ...
The New York Times

The Ferrari of Espresso Machines Is Fueling a Hot Resale Market

The La Marzocco coffee maker has long been a sought-after classic. But used machines are now even more coveted by cafe owners and collectors. La Marzocco espresso machines have become a status symbol ...
BMJ

Predicting cardiovascular events from routine mammograms using machine learning

10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...
The Lancet

When to and when not to use machine learning in risk prediction models

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...
Frontiers

Integrating meteorological and breeding data to predict maize yields using machine learning algorithms

Accurate crop yield prediction is vital for ensuring global food security, particularly amid growing environmental challenges such as climate change. Although deep learning (DL) methods have shown ...
PNAS

Machine learning in chemistry

The Perspective by Tiwary et al. (8) offers a comprehensive overview of generative AI methods in computational chemistry. Approaches that generate new outputs (e.g., inferring phase transitions) by ...