جوجل تحوّل Street View إلى عوالم تفاعلية بالذكاء الاصطناعي

تدمج Google DeepMind ميزة Street View مع مشروع Genie لإنشاء محاكاة تفاعلية وغامرة لشوارع وبيئات حقيقية. يمكن استخدام هذه النماذج في الروبوتات والألعاب والسفر، مع استكشاف تغيّرات الطقس والسيناريوهات النادرة.

ملخص الذكاء الاصطناعي

تدمج Google DeepMind ميزة Street View مع مشروع Genie لإنشاء محاكاة تفاعلية وغامرة لشوارع وبيئات حقيقية. يمكن استخدام هذه النماذج في الروبوتات والألعاب والسفر، مع استكشاف تغيّرات الطقس والسيناريوهات النادرة.
يمثل الدمج خطوة مهمة نحو تدريب الروبوتات وبناء تجارب رقمية واقعية اعتماداً على بيانات العالم الحقيقي، ما قد يسرّع تطبيقات الذكاء الاصطناعي المكاني.
Google DeepMind is integrating Street View with Project Genie to create immersive, interactive world simulations for robotics, gaming, and travel, allowing users to explore environments, weather changes, and rare scenarios.

Google DeepMind is integrating Street View with Project Genie to create immersive, interactive world simulations for robotics, gaming, and travel, allowing users to explore environments, weather changes, and rare scenarios.

الوسوم: #جوجل ديب مايند #ستريت فيو #نماذج العالم #الروبوتات #المحاكاة التفاعلية

المصدر الأصلي: TechCrunch

● اقرأ أيضا

الذكاء الاصطناعي

Best Automated Security Testing Tools for Modern DevSecOps

Modern DevSecOps needs security checks that run before release day. Teams now write code, build services and deploy updates at a pace that manual review cannot match. That’s why they use automated testing, as it helps catch routine flaws before they reach production. The pressure has grown. Verizon’s 2025 Data Breach Investigations Report found that […] The post Best Automated Security Testing Tools for Modern DevSecOps appeared first on AI News .

AI News 29 يونيو

الذكاء الاصطناعي

AI-Model Network: Concept, Current State and Future

arXiv:2606.27382v1 Announce Type: new Abstract: While the primary function of computers lies in computation and processing, the core value of the Internet is rooted in sharing and collaboration. Computers create the Internet, and the Internet empowers the value of computers. The rapid development of the Internet, cloud computing, and big data is pushing artificial intelligence into the era of large models (LMs). However, the practical application of LMs is currently hindered by high training costs and deployment complexities, driving a shift toward lightweight, private, and domain-specific models. With the rapid proliferation and wide distribution of heterogeneous models, enabling effective interaction and collaboration among them has emerged as a critical bottleneck that urgently needs to be addressed in LM development. Drawing inspiration from the development of the Internet, this paper proposes the concept, vision, and system architecture of world wide AI-model network (AI-ModelNet)

exportarxiv 28 يونيو

الذكاء الاصطناعي

Anthropic drops ‘workplace AI agents’ directly inside Slack

Anthropic launched a beta version of its Claude Tag feature for Enterprise and Team tiers, shifting its chat model into shared Slack channels. Moving away from traditional isolated chat boxes, users pull the artificial intelligence model into active group threads by typing @Claude. The integration allows any team member in the channel to delegate a task, review […] The post Anthropic drops ‘workplace AI agents’ directly inside Slack appeared first on AI News .

AI News 24 يونيو