A fast AI chip is only useful if developers can program it easily. Here is what a software stack is and why ecosystems shape the hardware...
Quantization stores a model's numbers with fewer bits so it uses less memory and power. Here is how it works and what tradeoffs it brings.
AI models are often described by how many parameters they have. Here is what a parameter is, why the count matters for hardware and where size...
FLOPS figures headline nearly every AI chip announcement. Here is what the number counts, why it can mislead and how to read it with care.
AI chips can often compute far faster than they can fetch data. This gap, known as the memory wall, shapes chip design more than most headlines...
Moore's Law is quoted constantly and often misunderstood. Here is the original observation, how it changed and what it means for AI hardware today.
Instead of one giant slab of silicon, many advanced processors are now assembled from several smaller dies. Here is why the chiplet approach caught on.
High-bandwidth memory, or HBM, has become one of the most important parts of an AI accelerator. Here is what it is, how it is built and...
Chip generations are named with numbers like 7nm, 5nm and 3nm. Those numbers no longer measure anything physical. Here is what they really signal.
The company whose name is on a chip is often not the company that manufactured it. Here is how the foundry and fabless models divide the...
Extreme ultraviolet lithography is the technology behind today's most advanced chips. Here is what makes it different and why it took decades to work.
Lithography is the step that draws a chip's pattern onto silicon. Here is how it works, why it is so hard, and why it sits at...
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Markets and the AI build-out on iPhone, iPad and Apple Watch: live quotes, plain-English research and headlines, with in-app trading on the way.
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Every app in the family is coming to Apple’s new foldable. Open it, and each app spreads into a two-pane layout: the feed on one side, the story on the other.