A machine learning approach leverages nuclear microreactor symmetry to reduce training time when modeling power output ...

In smart grid management, ML enables dynamic control of distributed energy sources, managing real-time energy flows and ...

The last stronghold of human labor in warehouses – the grueling job of loading and unloading trucks – is rapidly giving way ...

MIT researchers developed SEAL, a framework that lets language models continuously learn new knowledge and tasks.

This article explores the current applications of artificial intelligence (AI) in chromatography. It anticipates AI’s ...

The autonomous nature and adaptability of artificial intelligence (AI)-powered pricing algorithms make them attractive for optimizing pricing ...

Sedai, the company behind the first self-driving cloud platform, has announced a $20 million Series B round to scale its vision of autonomous infrastructure management. The funding, led by AVP ...

As a result, energy-intensive infrastructures that try to maximize the use of renewable energy sources (RES), such as ...

As the diversification of frequency regulation resources, it is increasingly important to find a load frequency control (LFC) scheme that can effectively coordinate different resources. This paper ...

In this paper, a novel multilingual OCR (Optical Character Recognition) method for scanned papers is provided. Current open-source solutions, like Tesseract, offer extremely high accuracy when it ...