Abstract: Storyline visualizations represent character interactions over time. When these characters belong to different groups, a new research question emerges: how can we balance optimization of ...

Security Update: v0.3.1 includes fixes for 18 security vulnerabilities. See the Security Advisory for details. A VS Code extension for real-time visualization and optimization of Go struct memory ...

Purpose-Built AI Agents Eliminate Hours of Manual Test Analysis, Accelerating Release Cycles and Empowering Engineering Teams to Ship High-Quality Applications with Unprecedented Speed and Confidence ...

CoSAG-nf is a scalable Nextflow pipeline designed for processing high-throughput single-cell amplified genomes (SAGs). The pipeline performs individual assembly, similarity analysis, hierarchical ...

Researchers have modeled a hybrid financing scheme combining contracted and merchant components to improve the bankability of PV-battery energy storage system (PV-BESS) assets, using a Bayesian LSTM ...

Stop guessing and start optimizing. DCIM provides real-time visibility into power, cooling, space, and asset health to reduce costs, increase reliability, and future-proof your capacity planning. Data ...

OpenAI CEO Sam Altman on Monday announced the launch of AgentKit, a toolkit for building and deploying AI agents, at the firm’s Dev Day event. “AgentKit is a complete set of building blocks available ...

Abstract: Energy optimization is a critical challenge in wireless sensor networks (WSNs) due to its direct impact on the network lifetime. This paper proposes the use of the K-means algorithm combined ...

Developed a novel photo-memristor with single-pulse low energy consumption (187 pJ) and multi-pulse linearity up to 0.996. Using photoelectric synaptic characteristics, achieved long-term memory in a ...

For years, marketers have asked for better visibility into how individual channels contribute to Performance Max results. Google has released a tutorial walking advertisers through its new Performance ...

This paper presents a novel approach to the joint optimization of job scheduling and data allocation in grid computing environments. We formulate this joint optimization problem as a mixed integer ...