D-ICs for the masses; chiplet power issues; more data to optimize chips; design and generative AI; faster debug; MIPI in auto; drive strength; GNNs; ADAS porting issues; object detection.

AI can help with workload distributions when considering on-device versus cloud processing. The latter has a very large ...

Robust and reliable data transmission protocols are necessary to handle increased data flow and ensure real-time processing.

In the below example, you can notice that a higher drive strength cell (BUFX20) has less transition time (0.0349ns), results ...

Advanced assemblies have enabled an unprecedented rate of advancement in the data center, especially for neural processing, ...

Delivering and managing power are becoming key challenges in the rollout of chiplets, adding significantly to design ...

Predict dynamic behaviors in a physics system in a way that's computationally efficient and adaptable to a range of scenarios.

Knowing where circuits came from, and the conditions in which they operate, can help designers optimize devices already in ...

Scale Integrated Photonic Device Platform for Energy-Efficient AI/ML Accelerators” was published by researchers at HP Labs, ...

A new technical paper titled “A Survey on Advancements in THz Technology for 6G: Systems, Circuits, Antennas, and Experiments ...

Multi-party Computation for Protecting Chiplet-based Systems” was published by Worcester Polytechnic Institute. Abstract “The introduction of shared computation architectures assembled from ...

Commonly used outlier detection approaches, such as parts average testing or determining whether a die is good based upon other dies in the immediate neighborhood, are falling short in advanced ...