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Meta AI:Research Blog·· 21 天前AI 评分17

Meta AI 官方介绍页:研究方向、代表性成果与开放协作原则

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文章要点
  • 1Meta AI 官方介绍页说明其研究覆盖 AI 基础设施、生成式 AI、NLP、计算机视觉等核心领域
  • 2页面列出 SAM 2、DINOv3、V-JEPA 2、Movie Gen 四项代表性研究成果
  • 3官方称 V-JEPA 2 是首个在视频上训练、达到最先进视觉理解与预测的世界模型
  • 4官方提出开放、协作、卓越、规模四项原则,称最新 AI 进展应公开分享供社区学习与构建
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ABOUT AI AT META

Advancing AI for a connected world

Video 1

Pushing the boundaries of AI through research, infrastructure and product innovation

We’re driven to build incredible things that connect people in inspiring ways. Because we can’t truly advance groundbreaking AI alone, we share our research and engage with the AI community to advance the science, together.
Whether it be in AI Infrastructure, Generative AI, NLP, Computer Vision or other core areas of AI, our focus is to connect people in inspiring ways through collaborative, responsible AI innovation.

Image 3: Two researchers working on AI research at AI at Meta

THE WORK WE DO

Turning ideas into innovation, together

We’re actively building remarkable things in key areas of AI that are shaping an AI-driven future. A future we aim to enhance through our many, diverse fundamental and applied research projects.

Image 4: Soccer player dribbling soccer ball

SAM 2 is a segmentation model that enables fast, precise selection of any object in any video or image.Segment Anything 2

Image 5: DINOv3 thumbnail of a horse

DINOv3 scales self-supervised learning (SSL) for images to produce our strongest universal vision backbones.DINOv3

Image 6: Man writing and working from home office

V-JEPA 2 is the first world model trained on video that achieves state-of-the-art visual understanding and prediction.V-JEPA 2

Image 7: Girl running on the beach

Movie Gen is the most advanced family of media foundation AI models empowering immersive storytelling.Movie Gen

INNOVATING RESPONSIBILITY

Our goal is to build AI responsibly,

for everyone

Our commitment to responsible AI is driven by the belief that everyone should have equitable access to information, services, and opportunities.

Image 8: Our goal is to build AI responsibily, for everyone

The responsible approach we’re taking to generative AI

Learn more

We’re exploring and discovering the frontier of AI along with everyone else. So we too need guidance as we maneuver through its many possibilities. By listening to subject matter experts, policymakers and people with lived experiences, we aim to be proactive in the

We’re exploring and discovering the frontier of AI along with everyone else. So we too need guidance as we maneuver through its many possibilities. By listening to subject matter experts, policymakers and people with lived experiences, we aim to be proactive in the promotion and advancement of responsible design and operation of AI systems. As we do so, we adhere to our organization’s core principles: Privacy & Security, Fairness & Inclusion, Robustness & Safety, Transparency & Control, Accountability & Governance.

promotion and advancement of responsible design and operation of AI systems. As we do so, we adhere to our organization’s core principles: Privacy & Security, Fairness & Inclusion, Robustness & Safety, Transparency & Control, Accountability & Governance.

PEOPLE AND CULTURE

Freedom to explore and apply AI at scale

Open positions

Image 9: Freedom to explore and apply AI at scale

KEY PRINCIPLES

Openness

We believe the latest advancements in AI should be published and shared for the community to learn from and build upon.

Collaboration

We collaborate openly with internal and external partners to share knowledge and cultivate diverse perspectives.

Excellence

There’s no shortage of new possibilities to explore in AI. While our researchers focus on what they believe will have the most positive impact on people and society, our engineers are working to deliver meaningful advancements in products and experiences for all people.

Scale

To bring the benefits of AI to more people and improve accessibility, our research must account for both large scale data and computational needs.

来源:Meta AI:Research Blog · ai.meta.com