A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Recently, to overcome this issue, machine learning algorithms such as one-dimensional convolutional neural networks (1D-CNN) have been used. However, the weakness of these algorithms lies in handling ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help ...

For engineers interested in cloud-based machine learning, this Nanodegree program is ideal. It focuses on Amazon Web Services (AWS) and covers topics like data wrangling, model building, and ...

New machine learning algorithm promises advances in computing Digital twin models may enhance future autonomous systems Date: May 9, 2024 Source: Ohio State University ...

I am a CRM and data engineering leader with 14 years of experience. Head of sales intelligence and data at Snapchat. Data-driven decision-making has seen a skyrocketing demand in today's world of ...

Electrical impedance tomography (EIT) is a non-destructive imaging technique used to visualize the interior of materials. In this method, an electric current is injected between two electrodes, ...