www.reddit.com/r/disneyparks/comments/tdee7y/the_myth_of_disneys_apoliticism_disneys_history/
Yesterday I saw a commenter sincerely ask why can't we **"just keep Disney non-political?**" My eyebrow raised all the way to the back of my neck. Disney has been deeply involved in politics (in the ...
arxiv.org/abs/2310.07223v3
Remotely sensed data are dominated by mixed Land Use and Land Cover (LULC) types. Spectral unmixing (SU) is a key technique that disentangles mixed pixels into constituent LULC types and their abundance fractions. While existing studies on Deep Learn...
arxiv.org/abs/2106.06765v1
Data Distribution Service (DDS) is an innovative approach towards communication in ICS/IoT infrastructure and robotics. Being based on the cross-platform and cross-language API to be applicable in any computerised device, it offers the benefits of mo...
arxiv.org/abs/2601.14425v2
Galaxy clusters serve as a unique and valuable laboratory for probing cosmological models and understanding astrophysics at the high-mass limit of structure formation. Clusters that are dynamically relaxed are especially useful targets of study becau...
arxiv.org/abs/2402.09146v6
In this paper, we present a novel framework for enhancing the performance of Quanvolutional Neural Networks (QuNNs) by introducing trainable quanvolutional layers and addressing the critical challenges associated with them. Traditional quanvolutional...
arxiv.org/abs/1911.07940v1
Deep representation learning using triplet network for classification suffers from a lack of theoretical foundation and difficulty in tuning both the network and classifiers for performance. To address the problem, local-margin triplet loss along wit...
arxiv.org/abs/2002.12399v1
Delusional bias is a fundamental source of error in approximate Q-learning. To date, the only techniques that explicitly address delusion require comprehensive search using tabular value estimates. In this paper, we develop efficient methods to mitig...
arxiv.org/abs/2104.02322v1
Video compression is a critical component of Internet video delivery. Recent work has shown that deep learning techniques can rival or outperform human-designed algorithms, but these methods are significantly less compute and power-efficient than exi...
www.bing.com/ck/a?!&&p=66cd70d237e27f6c59d6b6c5e8a0eeb05277fbfa9064570d16b182d01342294bJmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=0e1dcd7a-189a-63d9-2506-da68197d6261&u=a1aHR0cHM6Ly9teS5jbGV2ZWxhbmRjbGluaWMub3JnL2hlYWx0aC9ib2R5LzIzOTY0LXRlc3RpY2xlcw&ntb=1
The testes make hormones like testosterone in the Leydig cells. Testosterone is a hormone that causes people to have deeper voices, stronger muscles and body hair.
arxiv.org/abs/2001.00762v1
Domain gaps of sensor modalities pose a challenge for the design of autonomous robots. Taking a step towards closing this gap, we propose two unsupervised training frameworks for finding a common representation of LiDAR and camera data. The first met...
arxiv.org/abs/2009.12368v2
Drug discovery using deep learning has attracted a lot of attention of late as it has obvious advantages like higher efficiency, less manual guessing and faster process time. In this paper, we present a novel neural network for generating small molec...
arxiv.org/abs/2112.10474v1
Batch normalization (BN) is widely used in modern deep neural networks, which has been shown to represent the domain-related knowledge, and thus is ineffective for cross-domain tasks like unsupervised domain adaptation (UDA). Existing BN variant meth...
arxiv.org/abs/2003.08761v2
Normalization techniques are important in different advanced neural networks and different tasks. This work investigates a novel dynamic learning-to-normalize (L2N) problem by proposing Exemplar Normalization (EN), which is able to learn different no...
www.reddit.com/r/AI_Agents/comments/1r1yfkr/best_agentic_framework_for_production/
Hey Everyone, I’ve been diving deeper into agentic AI lately and keep running into the same question: **which agent framework is actually production-ready**, not just impressive in demos? There ar...
arxiv.org/abs/1805.12526v2
Accurate segmentation of prostate and surrounding organs at risk is important for prostate cancer radiotherapy treatment planning. We present a fully automated workflow for male pelvic CT image segmentation using deep learning. The architecture consi...
github.com/bolgebrygg/MalenoV
Complete tool for training & classifying facies on 3D SEGY seismic using deep neural networks (⭐ 137)
github.com/songquanpeng/one-api
LLM API 管理 & 分发系统,支持 OpenAI、Azure、Anthropic Claude、Google Gemini、DeepSeek、字节豆包、ChatGLM、文心一言、讯飞星火、通义千问、360 智脑、腾讯混元等主流模型,统一 API 适配,可用于 key 管理与二次分发。单可执行文件,提供 Docker 镜像,一键部署,开箱即用。LLM API management & key redistribution system, unifying multiple providers under a s…
github.com/zhayujie/chatgpt-on-wechat
CowAgent是基于大模型的超级AI助理,能主动思考和任务规划、访问操作系统和外部资源、创造和执行Skills、拥有长期记忆并不断成长。同时支持飞书、钉钉、企业微信应用、微信公众号、网页等接入,可选择OpenAI/Claude/Gemini/DeepSeek/ Qwen/GLM/Kimi/LinkAI,能处理文本、语音、图片和文件,可快速搭建个人AI助手和企业数字员工。 (⭐ 41862)
arxiv.org/abs/1707.02575v1
The current study applies deep learning to herbalism. Toward the goal, we acquired the de-identified health insurance reimbursements that were claimed in a 10-year period from 2004 to 2013 in the National Health Insurance Database of Taiwan, the tota...
www.bing.com/ck/a?!&&p=ef6637fca8b0a28c4144e571f4daecb214a152e04cee3e22203b717ad5689930JmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=023526b8-7cc1-617f-095c-31aa7da5604a&u=a1aHR0cHM6Ly9lbi53aWtpcGVkaWEub3JnL3dpa2kvSGVybWFubl9IZXNzZQ&ntb=1
Hesse grew up in a Swabian Pietist household, with the Pietist tendency to insulate believers into small, deeply thoughtful groups. Furthermore, Hesse described his father's Baltic German …