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GaussianOcc: A Self-Supervised Approach for Efficient 3D Occupancy Estimation Using Advanced Gaussian Splatting Techniques

3D occupancy estimation methods initially relied heavily on supervised training approaches requiring extensive 3D annotations, which limited scalability. Self-supervised and weakly-supervised learning techniques emerged to address this issue, utilizing volume rendering with 2D supervision signals. These methods, however, faced challenges, including the need for ground truth 6D poses and inefficiencies in the rendering process. Existing…

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Training AI Models on CPU. Revisiting CPU for ML in an Era of GPU… | by Chaim Rand | Sep, 2024

Revisiting CPU for ML in an Era of GPU Scarcity Photo by Quino Al on UnsplashThe recent successes in AI are often attributed to the emergence and evolutions of the GPU. The GPU’s architecture, which typically includes thousands of multi-processors, high-speed memory, dedicated tensor cores, and more, is particularly well-suited to meet the intensive demands…

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Emotional Intelligence in AI Marketing

Artificial intelligence (AI) has come a long way since its inception. It has reached the point where its conversational skills and generative capabilities are believable — but can you use it to craft authentic brand communication?   What Is Emotional Intelligence in Marketing? Emotional intelligence is the ability to manage your feelings and understand others’…

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Show-o: A Unified AI Model that Unifies Multimodal Understanding and Generation Using One Single Transformer

[Promotion] 🔔 The most accurate, reliable, and user-friendly AI search engine available This paper introduces Show-o, a unified transformer model that integrates multimodal understanding and generation capabilities within a single architecture. As artificial intelligence advances, there’s been significant progress in multimodal understanding (e.g., visual question-answering) and generation (e.g., text-to-image synthesis) separately. However, unifying these…

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