Home Knowledge Base VIEWS Hybrid

VIEWS Hybrid

No mentions found

This entity hasn't been tracked yet, or Iris is still building its knowledge base.

Related Articles from SNS

Hybrid refinery process turns plant material into industrially important chemical

- NEWS AND VIEWS Hybrid refinery process turns plant material into industrially important chemical Access options Access Nature and 54 other Nature Portfolio journals Get Nature+, our best-value online-access subscription £17.99 / 30 days cancel any time Subscribe to this journal Receive 52 print issues and online access £199.00 per year only £3.83 per issue Rent or buy this article Prices vary by article type from$1.95 to$39.95 Prices may be subject to local taxes which are calculated...

Nature 22h ago

CHDP: Cooperative Hybrid Diffusion Policies for Reinforcement Learning in Parameterized Action Space

arXiv:2601.05675v2 Announce Type: replace Abstract: Hybrid action space, which combines discrete choices and continuous parameters, is prevalent in domains such as robot control and game AI. However, efficiently modeling and optimizing hybrid discrete-continuous action space remains a fundamental challenge, mainly due to limited policy expressiveness and poor scalability in high-dimensional settings. To address this challenge, we view the hybrid action space problem as a fully cooperative...

arXiv CS 2d ago

Hybrid Free-space-optics and Millimetre-wave D-band Trans-mitter enabled by Optically Harmonically Locked Lasers

Physics > Optics [Submitted on 2 Jun 2026] Title:Hybrid Free-space-optics and Millimetre-wave D-band Trans-mitter enabled by Optically Harmonically Locked Lasers View PDFAbstract:We demonstrated hybrid free-space optics (FSO) and D-band (110-170GHz) millimetre wave transmitter enabled by a single phase-locked laser pair, simultaneously enabling ultra-low RF phase noise and optical linewidth for communications. Based on this, we further study combined capacity with beam angle misalignment...

arXiv Physics 7d ago

Robust Contrastive Graph Clustering with Adaptive Local-Global Integration

Announce Type: replace Abstract: Graph clustering is essential in graph analysis for revealing structural patterns and node communities. Despite recent advances in self-supervised contrastive learning that have improved clustering via structural and attribute signals, existing methods still struggle to flexibly capture high-order local structures and often overlook global semantics in complex graphs. These limitations lead to suboptimal node representations, especially in real-world graphs...

arXiv CS 8d ago

Cross-Domain Few-Shot Segmentation via Multi-view Progressive Adaptation

arXiv:2602.05217v2 Announce Type: replace Abstract: Cross-Domain Few-Shot Segmentation aims to segment categories in data-scarce domains conditioned on a few exemplars. Typical methods first establish few-shot capability in a large-scale source domain and then adapt it to target domains. However, due to the limited quantity and diversity of target samples, existing methods still exhibit constrained performance.

arXiv CS 8d ago

New 3D microscope technology captures high-resolution tissue images at a fraction of the cost

New 3D microscope technology captures high-resolution tissue images at a fraction of the cost Sadie Harley Scientific Editor Robert Egan Associate Editor A team led by Raju Tomer, professor of biological sciences at Columbia University, has created a new design for microscopes and microscope lenses that could push 3D tissue imaging beyond state-of-the-art systems while drastically cutting costs and complexity. Details of the design were published in the journal Nature Biotechnology. Modern...

Phys.org 1d ago

Geometry-Aware Fisheye-LiDAR Fusion for Robust 3D Object Detection in Low-Overlap Setups

Announce Type: new Abstract: As autonomous systems expand from capital-intensive robotaxis to cost-sensitive logistics, sensor configurations are increasingly optimized for coverage-per-cost. A prevalent sparse-view setup utilizes dual-fisheye cameras with a roof-mounted LiDAR, introducing severe geometric challenges: extreme radial distortion, minimal overlap, and misalignment between spherical projections and rectilinear grids. BEV fusion algorithms typically force image and point cloud...

arXiv CS 1d ago

A turning point: Why Germany’s military capabilities are underestimated

Many people believe that Germans are not prepared for defence. In a guest article for Euronews, military sociologist Dr Timo Graf uses recent survey data to show why this view underestimates German society’s capacity for defence. Russia is waging a war of aggression against Ukraine and a hybrid war against Europe as a whole.

Euronews 9h ago

Hybrid work is not always the golden compromise employees expect—even as more companies implement it

Hybrid work is not always the golden compromise employees expect—even as more companies implement it Lisa Lock Scientific Editor Andrew Zinin Lead Editor A truce of sorts has quelled the return-to-office wars that have raged in the post-pandemic workplace. Hybrid work policies, which require some in-office work while allowing flexibility to work from home, have become commonplace. In 2023, only 20% of companies had implemented hybrid policies.

Phys.org 6d ago

Robust and sparse support vector machine via hybrid truncated loss for supervised classification

Announce Type: new Abstract: The support vector machine (SVM) is a widely used classifier, but choosing an appropriate loss function remains difficult. Convex losses such as the hinge loss and least-squares loss are sensitive to outliers, while bounded non-convex losses often lead to high computational cost.

arXiv CS 5d ago