Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal ...

Property prediction for materials under realistic conditions has been a long-standing challenge within the digital transformation of materials design. MatterSim investigates atomic interactions from ...

Advances in deep learning methods for protein design Protein design aims to generate proteins with a pre-determined shape and/or function with great potential for the rational design of enzymes, ...

Hi, @matlab-deep-learning: There is a case study "Extract 3D Vehicle Information from Recorded Monocular Camera Data for Scenario Generation" in the Automated Toolbox of R2023b that can be used to be ...

The educational robot uses Arduino open-source hardware and supports various programming interfaces including C/C++, Python and Matlab. The robot uses an attached android mobile phone to capture image ...

Demystifying Nvidia's Deep Learning Supersampling Technology If you have a compatible Nvidia GeForce RTX graphics card, you can get more out of your games with DLSS.

NOTE: This solution (formerly known as "Arduino IO Package") is no longer supported. It is recommended that you use Arduino support packages that are developed and supported by MathWorks: MATLAB ...

If you are interested in learning more about training robots using machine learning techniques and technologies you might be interested in a new Arduino project to ascertain whether a basic robot ...

When we think about machine learning, our minds often jump to datacenters full of sweating, overheating GPUs. However, lighter-weight hardware can also be used to these ends, as demonstrated by [Ni… ...

Arduino, the open-source hardware pioneer today announced the closing of an additional $22 million in funding for a total of $54 million in Series B financin ...