The goal of engineering analysis is to use models of the real world to simulate and predict the performance of a design with confidence, explore design modifications, and inform downstream ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...

From more AI evolution to shoring up your talent shortage, here are Deloitte's top engineering and construction trends to ...

Today’s data landscape presents unprecedented challenges for organisations, due to the need for businesses to process thousands of documents in numerous data formats. These, as Bogdan Raduta, head of ...

The latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post for the Computer Weekly Developer Network written by Justin Pront, senior ...

Data engineering is the gritty, often unglamorous work that underpins every AI model, every dashboard, and every strategic data driven decision. For years, we treated our data lakes like giant, messy ...

Driven by a plethora of benefits, data sharing is gradually becoming a “must have” for advanced device nodes and multi-die ...

Lockheed Martin has begun the “engineering analysis” around adding sixth-generation features to the company’s fifth-generation fighters based on development work it did on the losing bid for the Air ...

In the world of cybersecurity and software development, binary analysis holds a unique place. It is the art of examining compiled programs to understand their functionality, identify vulnerabilities, ...