Computer-Aided Design (CAD) is the go-to method for designing most of today’s physical products. Engineers use CAD to turn 2D sketches into 3D models that they can then test and refine before sending a final version to a production line. But the software is notoriously complicated to learn, with thousands of commands to choose from. To be truly proficient in the software takes a huge amount of time and practice. MIT engineers are looking to ease CAD’s learning […]

Ver mais

There is growing attention on the links between artificial intelligence and increased energy demands. But while the power-hungry data centers being built to support AI could potentially stress electricity grids, increase customer prices and service interruptions, and generally slow the transition to clean energy, the use of artificial intelligence can also help the energy transition. For example, use of AI is reducing energy consumption and associated emissions in buildings, transportation, and industrial processes. In addition, AI is helping […]

Ver mais

In 2025, “using AI” no longer just means chatting with a model, and you’ve probably already noticed that shift yourself.

Ver mais

Let’s get started.

Ver mais

Learn how to detect outliers by doing a real-life data project and improve the process with AI.

Ver mais

Author(s): Sayan Chowdhury Originally published on Towards AI. Understanding the OG Perceptron Neural networks look complex from the outside, but at their core they are built from one simple unit. This unit is called the perceptron. The OG 😀The article explains the perceptron, the simplest form of a neural network, which serves as a tiny decision maker by taking a set of inputs to decide between two outcomes. It discusses how perceptrons inspired modern deep learning systems, focusing […]

Ver mais