In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...

While the datasets are useful tools for training AI models, they do come with their own risks, from regulatory risks to ...

Advanced statistical modelling, hypothesis testing, and academic workflows make R preferred for data-heavy research and reproducible ...

Public cloud spending is on a steep curve, rising from $595.7 billion in 2024 to $723.4 billion in 2025, and the fastest growing line items are often the ones n ...

GL Communications Inc., a global leader in telecom test and monitoring solutions, highlighted its comprehensive portfolio of telecom test, monitoring, and analysis solutions designed to support ...

The open Battery Data Format standard for battery testing data enables researchers, designers, and manufacturers, as well as ...

A 24-year-old Indian-origin engineer shared how joining an AI startup and moving to San Francisco transformed his career. He described the city’s intense work culture and stressed that continuous ...

Python is a language that seems easy to do, especially for prototyping, but make sure not to make these common mistakes when ...

IF YOU live with a student, you do not need a briefing to see AI is in the mix. Many encounter it daily. It shows up in what gets recommended next in a feed, the writing tools they tap when they are ...

There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.

Makeblock mBot2 Rover Kit features anodized aluminum parts, for STEM and more realistic engineering practice. Ages 8+ and 12+ tiers ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...