Okay, let's break down the relationship between "Meta" (formerly Facebook) and "Ray", which usually refers to "Ray AI".
Here's how they relate:
1. "Ray AI is an Open Source Project:" Ray is primarily known as an open-source distributed computing framework designed for building scalable machine learning (MLOps) and data processing applications. It provides tools for distributed training, deployment, and execution of complex workloads.
2. "Meta's Investment and Adoption:" Meta (Facebook's parent company) is a significant contributor to and user of the Ray project. "Funding:" Meta has actively funded the development of Ray through donations to the OpenAI Foundation (which initially supported Ray) and now through its own contributions. "Internal Use:" Meta uses Ray extensively within its own infrastructure for various AI/ML workloads, demonstrating its practical value for large-scale operations. "Community Engagement:" As a major user and funder, Meta is deeply involved in the Ray community, contributing code, providing feedback, and helping drive its development.
3. "Strategic Alignment:" Both Meta and Ray benefit from this relationship: "For Meta:" It gets a powerful, open-source tool for scaling its AI initiatives, reducing reliance on proprietary solutions, and potentially influencing the direction of the technology. "For Ray:" Meta's resources, expertise, and large-scale use case provide significant momentum, validation,

相關(guān)內(nèi)容：

9 月 16 日消息，科技媒體 9to5Mac 昨日(9 月 16 日)發(fā)布博文，報道稱在 9 月 17 日 Connect 大會上，Meta 公司再度攜手雷朋(Ray-Ban)品牌，推出 Meta x Ray-Ban Display 智能眼鏡，配備單眼固定式 HUD 顯示及 sEMG 手環(huán)，可通過手指滑動輸入文字，支持 Meta AI 和步行導航。

根據(jù)一段曝光的 Meta 官方 YouTube 短視頻，提前曝光了 Meta 與 EssilorLuxottica 合作的全新智能眼鏡陣容，其中包括即將在 2025 年 Connect 大會發(fā)布的“Meta Ray-Ban Display”眼鏡。

這款設備采用 Ray-Ban 經(jīng)典外觀，內(nèi)置單眼固定式 HUD(抬頭顯示，一種將信息投射到用戶視線范圍內(nèi)的顯示技術(shù))，此外搭配 Meta 長期研發(fā)的肌電圖(sEMG)手環(huán)進行控制，手環(huán)可識別佩戴者在物理表面上輕掃手指的動作，實現(xiàn)文字輸入與交互。

這款 HUD 眼鏡定位并非完整的增強現(xiàn)實(AR)體驗，而是聚焦輔助信息顯示。泄露片段展示了 HUD 用于調(diào)用 Meta AI 助手、進行步行導航等功能，右眼可見顯示界面。

sEMG 手環(huán)可捕捉佩戴者手腕肌肉信號，實現(xiàn)捏合、輕點等自然動作的輕量級交互。用戶可用微小手勢完成回復消息等操作，相比傳統(tǒng)觸控或語音輸入更加隱蔽和高效。

來源： IT之家