Roastery equipment maker Sovda this week announced the Precision Fill Mini V2, an upgraded version of its popular bagging machine now in production. The V2 features a lower profile for easier loading ...

This article will examine the practical pitfalls and limitations observed when engineers use modern coding agents for real enterprise work, addressing the more complex issues around integration, ...

With the open-source Dataverse SDK for Python (announced in Public Preview at Microsoft Ignite 2025), you can fully harness the power of Dataverse business data. This toolkit enables advanced ...

Valve revealed its next batch of at-home hardware on Wednesday, including a new take on the Steam Machine, a gaming PC that's intended to be used like a console. Also revealed were the Steam Frame, ...

Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...

Microsoft is now publishing standard attestations about third-party CVEs through the Vulnerability Exploitability eXchange (VEX) standard including vulnerabilities in embedded open-source software in ...

SpaceX closed a troubled but instructive chapter in its Starship rocket program Monday with a near-perfect test flight that carried the stainless steel spacecraft halfway around the world from South ...

Discover the ultimate DIY Automatic Coin Sorting Machine made out of cardboard! In version 2.0, you'll need just a few materials: cardboard, a cutting knife, a battery, an electric motor, a small nut, ...

Microsoft has released Azure Container Storage v2.0.0, introducing significant performance enhancements and architectural simplifications for stateful workloads on Azure Kubernetes Service (AKS). The ...

Online learning is undergoing a fundamental transformation, moving from dedicated platforms to the conversational space where millions already seek answers. This shift is solidified by the launch of ...

Abstract: In continual learning (CL), the newly arrived data are often out-of-distribution from the previous ones, causing drastic representation shift (RS) when updating the old model on the new data ...