Today's article comes from the Journal of Open Hardware. The authors are Crane et al., from Arizona State University. In this paper, they're showcasing an open-source turbidostat system designed specifically to make PACE accessible to the masses.

Today's article comes from the journal of Machine Learning Science & Technology. The authors are Nikolaou et al., from the University of Stuttgart, in Germany. In this paper they use NTK (the Neural Tangent Kernel) as a lens to study what actually happens inside neural networks as we scale them up.

Today's article comes from the journal of Autonomous Intelligent Systems. The authors are Bao et al., from Tongji University, in China. In this paper they propose a new distributed exploration algorithm for drones. If it works, it should allow a swarm of UAVs to map complex interiors and cover large volumes quickly without crashing into each other or stalling out.

Today's article comes from the journal Array. The authors are Taghizad et al., from the University of Quebec at Trois-Rivieres. In this paper, they are bringing us up to speed on the bleeding edge of MR-RTS: Multi-Rate Real-Time Simulation. The latest use-cases, the numerical techniques, the frameworks, and the research challenges that are still unsolved.

Today's article comes from the Network journal. The authors are Abbas et al., from the University of Tabriz, in Iran. In this paper, they present a WSN optimization algorithm that reduces energy consumption, improves network coverage, and extends network lifetime.

Today's article comes from the Journal of Cloud Computing. The authors are He et al., from the Nanjing University of Posts and Telecommunications, in China. In this paper, they are showcasing a congestion-control solution for networks that support large-scale GPU training

Today's article comes from the journal of Data & Policy. The authors are Challappa et al., from Emory University, in Atlanta. In this paper, they've created a framework for detecting and quantifying how strongly a model's outputs have become anchored to a domain context.

Today's article comes from the Journal of Electrical and Computer Engineering. The authors are Yadata et al., from Jimma University, in Ethiopia. In this paper, they propose a control architecture for SRMs that combines sliding-mode control with neural networks and automated gain optimization.

Today's article comes from the journal of Cybersecurity. The authors are Buccafurri et al., from the University Mediterranea of Reggio Calabria, in Italy. In this paper they're exploring how Tor can be extended to provide recipient anonymity even in the presence of a global adversary.

Today's article comes from the IET journal of Circuits, Devices & Systems. The authors are Lou et al., from the Dalian University of Technology, in China. In this paper, they're presenting an image-fusion method for a special type of CMOS sensor. It captures three different responses in a single exposure: high-gain linear, low-gain linear, and logarithmic.