This project investigates how different multithreaded matrix multiplication strategies affect performance. The objective was to implement parallel matrix multiplication to explore how thread count, ...

D-Matrix says its chips can run inference workloads 10 times faster and using five times less energy than a standalone graphics processing unit from Nvidia. Like Cerebras, D-Matrix is trying to prove ...

Abstract: This paper presents the bias-policy iteration, a modified adaptive dynamic programming method, to achieve optimal control design of discrete-time nonlinear systems. Firstly, the formulation ...

Consumers trying to score the best deals online may be facing a moving target as retailers increasingly use dynamic pricing. It's a strategy that adjusts prices based on factors including demand, ...

Dynamic workflows in Claude Opus 4.8.8 offer a structured way to handle complex tasks by dividing them into smaller, independent components. These workflows enable parallel task execution, where ...

It’s been three-and-a-half years since generative AI exploded onto the scene. In this past year, progress has continued its relentless pace: Vibe coding took off, companies embraced agentic workflows, ...

Abstract: Multiplication is a fundamental operation in neural network models. However, signed multibit multiplication and accumulation (MAC) pose significant challenges, primarily due to the ...