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.

Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

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

Artificial intelligence and robotics are revolutionizing drug discovery by automating laboratory processes and enabling rapid ...

The result can help guide the design of algorithms and hardware by identifying the regimes where quantum information remains localized and tractable—even when long-range interactions are present ...

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

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 ...

With landmark initiatives announced to advance Europe's digital sovereignty, encompassing a ?200 - billion commitment to AI ...

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.

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 ...