Peter Park

Sony ended the Summer with a bang, announcing big new games. First gameplay for God of War Ragnarok was revealed alongside surprises by Insomniac. 

PlayStation Showcase 2021 Review: Here's What You Missed

Efficient 3D Gaussian segmentation guided by 2D models achieves fast, accurate multi-object segmentation, advancing 3D scene understanding and editing.

Effortless 2D-Guided, 3D Gaussian Segmentation: Conclusion and References

This paper proposes Inpaint4DNeRF to capitalize on state-of-the-art stable diffusion models for direct generation of the underlying completed background content

NeRF Editing and Inpainting Techniques: Conclusion and References

Today more than ever, entrepreneurs, innovators, and the tech community are having an important impact on how government works and thinks. It is about applying Silicon Valley models and best practices to a world that too often finds itself stuck in the murky waters of bureaucracy.

How to build a tech startup inside government

Criticly reflecting on the adoption of AI technology in the video game industry and contrasting it with adoption in the software industry. 

The Video Game Industry Is Having Its Peter Pan Moment Now With AI

Jamba’s Transformer-Mamba fusion enables long-context processing with reduced memory usage and superior throughput.

How Jamba Combines Transformers and Mamba to Build Smarter Language Models

This paper benchmarks long-form factuality in large language models using SAFE—outperforming human annotators and offering insights into future LLM improvements

Benchmarking Long-Form Factuality in Large Language Models

This study shows that minimal context and heuristic methods can boost crowdsourced label consistency for relevance and usefulness in TDS evaluations.


How to Improve the Accuracy of Online Ratings for AI Chatbots and Virtual Assistants

MaCoDE turns masked language modeling into a powerful method for synthetic tabular data generation with high ML utility and privacy control.

Can BERT Generate Tables? Exploring MaCoDE’s Approach to Synthetic Data

This paper is presented on the Adaptive-RAG framework, which improves QA accuracy and efficiency by adapting to query complexities.

Smart Queries, Smarter Answers: Adaptive-RAG in Action

Learn how dimension reduction improves text classification by optimizing feature clustering using scatter matrices. 

A Mathematical Overview of Dimension Reduction in Text Classification

Discover how Panopticus aims to evolve with multi-tasking support, optimized AI resource allocation, and enhanced 3D detection metrics. 

Next-Gen 3D Detection: Challenges, Innovations & Future Directions

Researchers have optimized Layer-7 load balancing using programmable SmartNICs to improve efficiency, cost, and energy use in cloud data centers.

Your Internet Traffic Is Slower Than It Should Be—Laconic Fixes That

Coin3D integrates 3D-aware control for interactive 3D modeling, enabling real-time previews and precise edits while paving the way for future improvements.

Coin3D Introduces a New Standard for Interactive 3D Asset Generation

DeepSee transforms how scientists visualize ocean data, helping researchers make better decisions and plan future studies more effectively.

DeepSee: Making It Easier to Analyze and Explore Ocean Data for Future Research

In this paper, we present Wonder3D, an innovative approach designed for efficiently generating high10 fidelity textured meshes from single-view images.

The Conclusion to Wonder3D: Future Works and References 

Researchers have developed a text-to-image generation model called Kandinsky that uses a novel latent diffusion model to produce images that appear natural.

This Open-Source Image Generator From Russian Scientists Uses A Novel Approach to Diffusion

This paper introduces AIR-Bench, the first generative evaluation benchmark for LALMs, featuring 19 audio tasks and an evaluation framework for assessing LALMs

AIR-Bench: A New Benchmark for Large Audio-Language Models

Meet the authors whose contributions formed a holistic evaluation of text-to-image models. 

Holistic Evaluation of Text-to-Image Models: Author contributions, Acknowledgments and References

This paper summarizes the breakthrough method for virtual try-on synthesis, highlighting the superior results achieved through the Parallel-UNet architecture. 

Revolutionizing Virtual Try-On: Key Findings and Future Directions

Explore whether Google is losing its dominance in the search engine market due to the rise of artificial intelligence. Discover key players, innovative technolo

Artificial Intelligence: Is Google Already a Loser in the Search Engine Battle? 

In this study, researchers present an end-to-end general-purpose any-to-any MM-LLM system called NExT-GPT.

NExT-GPT: Any-to-Any Multimodal LLM: Conclusion and References

In this study, researchers introduce an iterative procedure that, at each stage, identifies a coherent set of images sharing a similar identity.

The Chosen One: Consistent Characters in Text-to-Image Diffusion Models: References

Explore the challenges and strategies in selecting neural networks, advancing deep learning benchmarks, and generalizing models for varied diffusion equations

Generalizing Deep Learning Models for Varied Diffusion Equations

Munich-based start-up Peter Park System GmbH offers digital, barrier-free parking management systems for public and private operators to make parking profitable, easy and user friendly

PETER PARK

peter-park.de

Since n.d.

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PETER PARK

peter-park.de

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1946

110B

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108.5B

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1995

3B

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630M

2014

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2006

1948

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