Proximate analysis helps determine which types of municipal solid waste (MSW) are best for energy recovery. In Mbeya City, ...

A new system that combines Gemini’s coding abilities with an evolutionary approach improves data center scheduling and chip design, and fine-tunes large language models.

Understanding how cities grow is vital for shaping sustainable urban futures—but mapping the true extent of urban expansion ...

Fujitsu Microelectronics Solutions implemented an integrated algorithmic C verification to register transfer level (RTL) emulation flow for its high-level synthesis (HLS) design methodology. “An HLS ...

Learn More Google DeepMind today pulled the curtain back on AlphaEvolve, an artificial-intelligence agent that can invent brand-new computer algorithms ... s hardware design, finding a way ...

As per the blog post, AlphaEvolve enhanced the efficiency of Google's data centres, chip design and AI training processes, including training the large language models underlying AlphaEvolve itself.

Abstract: 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 ...

We design a distributed subgradient-based algorithm to achieve the optimal resource allocation. Moreover, we analyze the convergence of the algorithm to the optimal solution. The algorithm can solve ...

This repository contains resources for IPN's Analysis and Design of Algorithms course, focusing on algorithm selection, complexity analysis, and design strategies. Topics include deterministic and non ...

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