C-suite is eager to embrace AI while employees are less likely to. This highlights Moravec's paradox and the divide in AI adoption, or the AI productivity paradox.

Abstract: The advent of large language models (LLMs) has revolutionized the field of code translation, enabling automated translation between programming languages. Despite these advancements, the ...

Macros are powerful, but they don't work on the web or mobile. I’ve switched to the native REDUCE function for my complex ...

A new AI proficiency report, based on a survey of 5,000 knowledge workers at companies with more than 1,000 employees in the ...

But a new research study by AI company Section surveying 5,000 knowledge workers at large organizations in Canada, the United ...

97% of the workforce are using AI poorly or not at all. Only 2.7% qualify as “AI practitioners” – people who have embedded AI ...

ICs are more likely to feel anxious or overwhelmed by AI, less likely to trust it, and less likely to say it’s having a ...

This position is an excellent opportunity for someone willing to work on the latest technologies and play a critical role in providing a roadmap for IP and IP solutions ...

Last year’s rush was about basic literacy: do staff know what generative AI is, the risks of data leakage, and how to write a ...

Seventy% of the workforce are what the authors call “AI experimenters”: people who use AI for very basic tasks – summarising meeting notes, rewriting emails, getting quick answers. The second‑largest ...

Say goodbye to source maps and compilation delays. By treating types as whitespace, modern runtimes are unlocking a “no-build” TypeScript that keeps stack traces accurate and workflows clean.

When the Arduino UNO Q was first unveiled in October 2025, the specifications of the Qualcomm DragonWing SBC listed the ABX00162 SKU with 2GB RAM and 16GB ...