How to reduce margin and improve performance on very large devices.
Stephen Crosher, CEO of Moortec, talks about monitoring temperature differences on-chip in AI chips and how to make the most of the power that can be delivered to a device and why accuracy is so critical.
An upbeat industry at the start of the year met one of its biggest challenges, but instead of being a headwind, it quickly turned into a tailwind.
Continuous design innovation adds to verification complexity, and pushes more companies to actually do it.
The semiconductor industry will look and behave differently this year, and not just because of the pandemic.
Experts at the Table: Any chip can be reverse-engineered, so what can be done to minimize the damage?
More than $1.5B in funding for 26 startups; December was a big month for AI hardware.
New data suggests that more chips are being forced to respin due to analog issues.
The number of options is increasing, but tooling and methodologies haven’t caught up.
Big investment in EV, batteries, and data center chips as 26 companies raise $2.6B.
Interconnects are becoming the limiter at advanced nodes.
Chips are hitting technical and economic obstacles, but that is barely slowing the rate of advancement in design size and complexity.
As implementations evolve to stay relevant, a new technology threatens to overtake SerDes.
Predicting the power or energy required to run an AI/ML algorithm is a complex task that requires accurate power models, none of which exist today.
Experts at the Table: Security, reliability, and margin are all in play at leading-edge nodes and in advanced packages.
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