AI for molecular simulations may not need built-in physics to deliver strong results

Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.
GitHub

autosome-ru/MPRA-MNIST

We present MPRA-MNIST: a standardized dataset and toolkit. This resource integrates rigorously preprocessed MPRA data from seminal studies, preserving experimental fidelity while providing: Consistent ...
marktechpost

A Coding Guide to Build a Scalable End-to-End Machine Learning Data Pipeline Using Daft for High-Performance Structured and Image Data Processing

In this tutorial, we explore how we use Daft as a high-performance, Python-native data engine to build an end-to-end analytical pipeline. We start by loading a real-world MNIST dataset, then ...
Forbes

Machine Learning Trends For 2026

You're probably a little tired of reading or hearing about AI, right? Well, if that's the case, then you're in the right place because here, we're going to talk about machine learning (ML). Yes, it's ...
IEEE

Optimizing Machine Learning Models for Resource-Constrained Environments: A Comprehensive Study of Compression and Quantization Across CIFAR-10, MNIST, and Fashion MNIST

Abstract: Integration of machine learning (ML) in resource-constrained environments, such as Internet of Things (IoT) devices, embedded systems, and mobile applications, has become one of the crucial ...
marktechpost

Nested Learning: A New Machine Learning Approach for Continual Learning that Views Models as Nested Optimization Problems to Enhance Long Context Processing

How can we build AI systems that keep learning new information over time without forgetting what they learned before or retraining from scratch? Google Researchers has introduced Nested Learning, a ...
InfoWorld

AI and machine learning outside of Python

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
IEEE

Intelligent Indian Twins Identification by MNIST Dataset Using Machine Learning

Abstract: This research provides a novel method for digitally differentiating identical and non-identical twins using machine learning. The main goal is to present a novel approach that, by applying ...