Shift Left Is The Tip Of The Iceberg
A transformative change is underway for semiconductor design and EDA. New languages, models, and abstractions will need to be created.
Is In-Memory Compute Still Alive?
It hasn’t achieved commercial success, but there is still plenty of development happening; analog IMC is getting a second chance.
Managing The Huge Power Demands Of AI Everywhere
More efficient hardware, better planning, and better utilization of available power can help significantly.
Big Changes Ahead For Analog Design
In-house flows are unable to keep up with foundry PDKs and heterogeneous integration, but commercial EDA tools add their own set of challenges.
2025: So Many Possibilities
This will be an incredible year for innovation, driven by AI and for AI, and pushing the limits of fundamental physics.
New AI Data Types Emerge
Several PPA considerations mean no single type of data is ideal for all AI models.
What’s The Best Way To Sell An Inference Engine?
The hardware choices for AI inference engines are chips, chiplets, and IP. Multiple considerations must be weighed.
Chiplet Interconnects Add Power And Signal Integrity Issues
More choices, interactions, and tiny dimensions create huge headaches.
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