I’ve always been interested in the tradeoffs that designers make when defining topologies and selecting components for a ...

We use heuristics to solve computationally difficult problems where optimal solutions are too expensive to deploy, hard to manage, or otherwise inefficient. Our prior work, MetaOpt, shows many of the ...

Quantum physics has a reputation for needing exotic hardware, from liquid-helium-cooled qubits to sprawling AI clusters, just ...

Abstract: This letter proposes two polynomial-time approximation algorithms for allocating servers to design a consistency-aware multi-server network for delay-sensitive applications. Each algorithm ...

In contemporary breeding programs, typically genomic best linear unbiased prediction (gBLUP) models are employed to drive decisions on artificial selection. Experiments are performed to obtain ...

We propose the Trust Region Preference Approximation (TRPA) algorithm ⚙️, which integrates rule-based optimization with preference-based optimization for LLM reasoning tasks 🤖🧠. As a ...

1 School of Automation and Information Engineering, Sichuan University of Science and Engineering, Yibin, China. 2 Sichuan Key Laboratory of Artificial Intelligence, Yibin, China. A 14-bit successive ...

FREMONT, Calif., July 30, 2024 (GLOBE NEWSWIRE) -- Today Cytek Biosciences, Inc. (Nasdaq: CTKB) announced that it has developed a revolutionary tool to automate panel design. The company has expanded ...

OptoGPT is a new algorithm that harnesses the computer architecture underpinning ChatGPT. Its creators say that it will enable researchers and engineers to design optical multilayer film structures ...