Minghao Chi Strengthens Pension Fund Risk Management with Data-Driven Index Weight Prediction Research

A predictive modeling framework integrating machine learning with real-time trading strategies generates over $500,000 documented profitability ...
Opinion

With Consumer Data Models, Who Needs Government Data?

In a data-driven world, pauses in government economic data do more than inconvenience economists, they create dangerous blind spots for investors and business leaders.
eLife

Unbend: Correction of local beam-induced sample motion in cryo-EM images using a 3D spline model

This paper describes Unbend - a new method for measuring and correcting motions in cryo-EM images, with a particular emphasis on more challenging in situ samples such as lamella and whole cells. The ...
Tech Xplore

Self-evolving edge AI enables real-time learning and forecasting in small devices

Researchers from The University of Osaka's Institute of Scientific and Industrial Research (SANKEN) have successfully ...

Which Machine Learning Models Are Most Used In Crypto Signal Generation?

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...
MIT Technology Review

DeepSeek may have found a new way to improve AI’s ability to remember

The technique can also be used to produce more training data for AI models. Model developers are currently grappling with a ...
Frontiers

Advancing Computational Material Science and Mechanics through Integrated Deep Learning Models

The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...
IEEE

Automated Epilepsy Detection System Based On Tertiary Wavelet Model(TWM) Techniques

Abstract: A computerized method for classifying epilepsy from electroencephalogram (EEG) data using a Tertiary Wavelet Model (TWM) as a feature extractor is detailed. Before extracting features such ...
eLife

Critique of impure reason: Unveiling the reasoning behaviour of medical large language models

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

Cognizant's AI Lab Announces Breakthrough Research for Fine-Tuning LLMs and Records its 61st U.S. Patent Issuance

Cognizant (Nasdaq: CTSH) today announced a breakthrough from its AI Lab that introduces a novel, efficiency-focused method ...
IEEE

Scalable and Consistent Graph Neural Networks for Distributed Mesh-based Data-driven Modeling

Abstract: This work develops a distributed graph neural network (GNN) methodology for mesh-based modeling applications using a consistent neural message passing layer. As the name implies, the focus ...
IT-Online

Senior Data Scientist at Datonomy Solutions

Cape Town based candidates only. The Senior Data Scientist will be responsible for developing, validating, and operationalizing advanced machine learning and AI models that support strategic business ...