www.bing.com/ck/a?!&&p=f3072fa47e3df1705a2c42ea4818acb0744835a533f0b288240f990c97c77e82JmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=36b21f31-711b-6f3d-1466-082070e36eb5&u=a1aHR0cHM6Ly9naXRodWIuY29tL1dhbi1WaWRlby9XYW4yLjI&ntb=1
Jul 28, 2025 · LightX2V, a lightweight and efficient video generation framework that integrates Wan2.1 and Wan2.2, supporting multiple engineering acceleration techniques for fast …
arxiv.org/abs/2408.00052v1
What the human visual system can perceive is strongly limited by the capacity of our working memory and attention. Such limitations result in the human observer's inability to perceive large-scale changes in a stimulus, a phenomenon known as change b...
www.bing.com/ck/a?!&&p=6a85ca17afb1fb6703c1fbbdc5b5bf6f2c5cff550f4ca56ed01ea6078c1f25b1JmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=2a2b3c73-2940-65d0-343a-2b622893641e&u=a1aHR0cDovL2JlYXN0LmNvbW11bml0eS9pbnN0YWxsX29uX3dpbmRvd3M&ntb=1
Downloading and installing BEAST on Windows BEAST is a software package for phylogenetic analysis with an emphasis on time-scaled trees.
www.bing.com/ck/a?!&&p=be5be0c6132d8bb6775aba9b18b0557670d12ffd233c708ef6daa34eebbd908fJmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=2a2b3c73-2940-65d0-343a-2b622893641e&u=a1aHR0cDovL2JlYXN0LmNvbW11bml0eS9pbnN0YWxsX29uX3VuaXg&ntb=1
Downloading and installing BEAST on UNIX/Linux BEAST is a software package for phylogenetic analysis with an emphasis on time-scaled trees.
github.com/apache/incubator-resilientdb
Global-Scale Sustainable Blockchain Fabric (⭐ 165)
arxiv.org/abs/1908.02702v1
Researchers within the Human Brain Project and related projects have in the last couple of years expanded their needs for high-performance computing infrastructures. The needs arise from a diverse set of science challenges that range from large-scale...
arxiv.org/abs/2411.16445v3
Arbor is a software library designed for efficient simulation of large-scale networks of biological neurons with detailed morphological structures. It combines customizable neuronal and synaptic mechanisms with high-performance computing, supporting...
en.wikipedia.org/wiki/Potential_well
] in space. As a result, surface tension changes tremendously. The Young–Laplace equation can give a background on the investigation of the scale of
www.bing.com/ck/a?!&&p=2b6a617a46abd333e19deb2bb04849519e5fd05197f2ef014790e1106090b684JmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=226452ff-4a64-6d82-3c7e-45ee4b2a6ca6&u=a1aHR0cHM6Ly9hd3MuYW1hem9uLmNvbS9ldmVudGJyaWRnZS8&ntb=1
What is EventBridge? Learn how Amazon EventBridge makes it easier to build event-driven applications at scale using events generated from your applications, integrated SaaS applications, and AWS …
arxiv.org/abs/2111.04443v1
Health insurance claims data offer a unique opportunity to study disease distribution on a large scale. Challenges arise in the process of accurately analyzing these raw data. One important challenge to overcome is the accurate classification of stud...
www.reddit.com/r/halloween/comments/1n9lcso/my_haunted_house_is_up_spookin/
Built from a 1/12 scale doll house. Needing lights. Coming this year with sound. Everyone enjoys finding hidden objects throughout. ...
arxiv.org/abs/2602.22091v1
Ego-centric driving videos available online provide an abundant source of visual data for autonomous driving, yet their lack of annotations makes it difficult to learn representations that capture both semantic structure and 3D geometry. Recent advan...
arxiv.org/abs/2407.15026v2
The increasing complexity of modern very-large-scale integration (VLSI) design highlights the significance of Electronic Design Automation (EDA) technologies. Chip placement is a critical step in the EDA workflow, which positions chip modules on the...
arxiv.org/abs/0710.3058v1
In this paper we investigate the nature and structure of the relation between imposed classifications and real clustering in a particular case of a scale-free network given by the on-line encyclopedia Wikipedia. We find a statistical similarity in...
arxiv.org/abs/2308.12039v1
Large-scale text retrieval technology has been widely used in various practical business scenarios. This paper presents our systems for the TREC 2022 Deep Learning Track. We explain the hybrid text retrieval and multi-stage text ranking method adopte...
arxiv.org/abs/1712.01887v3
Large-scale distributed training requires significant communication bandwidth for gradient exchange that limits the scalability of multi-node training, and requires expensive high-bandwidth network infrastructure. The situation gets even worse with d...
arxiv.org/abs/2010.04084v2
The Covid-19 pandemic has fundamentally altered many facets of our lives. With nationwide lockdowns and stay-at-home advisories, conversations about the pandemic have naturally moved to social networks, e.g. Twitter. This affords an unprecedented ins...
arxiv.org/abs/2206.14739v1
Condensation in cumulus clouds plays a key role in structuring the mean, non-precipitating trade-wind boundary layer. Here, we summarise how this role also explains the spontaneous growth of mesoscale ($>O(10)$ km) fluctuations in clouds and moisture...
arxiv.org/abs/1109.6113v1
This paper presents a three-scale computational strategy for the study of composite modeled at the mesoscale so that delamination can be reliably simulated. The solver is based on a LaTIn approach so that nonlinearities can be tackled at the local sc...
arxiv.org/abs/2507.22062v3
Contrastive Language-Image Pretraining (CLIP) is a popular foundation model, supporting from zero-shot classification, retrieval to encoders for multimodal large language models (MLLMs). Although CLIP is successfully trained on billion-scale image-te...
