How to build an efficient and flexible multi-die system for edge AI.
D-IC thermal management & KGD strategies; system-level engineering; within-wafer variability; image segmentation.
Foundry-Enabled Patterning of Diamond Quantum Microchiplets for Scalable Quantum Photonics” was published by researchers at ...
Researchers from Ulsan National Institute of Science and Technology (UNIST) designed a biodegradable, energy efficient artificial synapse that uses a layered structure made from naturally-derived ...
Triggered Backdoors” was published by researchers at Berlin Institute for the Foundations of Learning and Data (BIFOLD), TU ...
Multi-die assemblies are the next phase of Moore’s Law, scaling up and out to improve performance and add flexibility into ...
Tightly coordinated data movement and low-latency on-chip storage for real-time environments.
Researchers at UCSD and Columbia University published “ChipBench: A Next-Step Benchmark for Evaluating LLM Performance in AI-Aided Chip Design.” Abstract “While Large Language Models (LLMs) show ...
Verifying an extensible processor is more than a one-step process, especially when software compatibility is important.
Workflows and the addition of new capabilities are happening much faster than with previous technologies, and new grads may ...
A new technical paper titled “Enhancing Cu-barrier properties of 2D-WS2 barriers: The role of grain size and surface passivation” was published by researchers at National University of Singapore, ...
A cornerstone of effective STCO is the ability to conduct multi-domain analyses—for example, signal integrity, power ...