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Q-Silicon: A New Material for Quantum Computing

By Dick Weisinger

Silicon is the most widely used material in the electronics industry, but it has some limitations when it comes to quantum computing. Quantum computing is a new paradigm that exploits the strange properties of quantum physics to perform complex calculations

TSMC’s Chip Dominance: A Blessing or a Curse?

By Dick Weisinger

The global semiconductor industry is undergoing a major transformation, as the demand for chips in various sectors such as cloud computing, artificial intelligence, 5G, and autonomous driving is soaring. However, the supply of chips is constrained by the limited manufacturing

How to Secure Data When Computing with PAC Privacy

By Dick Weisinger

Data privacy is a major concern for many applications of machine learning, especially when sensitive information such as medical records or personal images is involved. How can we share useful models without revealing the data they were trained on? A

AI Chips: AI-Targeted Massive Wafers Speed the Creation of Large Language Models

By Dick Weisinger

‘Wafer-scale engine‘ (WSE) – it is what Cerebras, a semiconductor manufacturer, calls the architecture of their massive GPU engine on a single ‘chip’. It is 56 times the size of the largest ‘standard’ GPU chip and packs 3000 times more

Probabilistic Computers: A Poor Man’s Quantum Computer

By Dick Weisinger

Classic computers operate on binary data — data stored as either a ‘0’ or a ‘1’. Quantum computers operate on what is called a qubit, a value that is a probabilistic combination of the two states of ‘0’ and ‘1’.