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We propose GenDP, a general-purpose acceleration framework for dynamic programming algorithms. We design DPAx, an accelerator with programmable compute units, specialized dataflow, and flexible ...

A new technical paper titled “Defect Analysis and Built-In-Self-Test for Chiplet Interconnects in Fan-out Wafer-Level Packaging” was published by researchers at Arizona State University. Abstract “Fan ...

An AI model trained on dozens of hours of real-world conversation accurately predicts human brain activity and shows that features of language structure emerge without being coded in.

This article presents an algorithm design framework for general linearly constrained convex optimization problems. Our approach offers a flexible framework to analyze and design various methods, ...

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The framework has been widely tested and used by researchers, civil society, industry actors, Governments and many UN and humanitarian partners and provides a common language for information sharing, ...

For the first time, this paper employs an algorithm-hardware co-design methodology to accelerate KAN. The proposed algorithm-level techniques include Alignment-Symmetry and PowerGap KAN hardware aware ...