In the AI Era, Academic Science’s Future Depends on Real World Research

Universities today face many challenges. With today’s market shifts, universities must adapt. Today’s key issues include economic downtrends hitting endowments, enrollment challenges due to rising tuition, and competition from third-party online education and demographic shifts leading to a shrinking pool of new students. Meanwhile, brain drain…

UltiHash’s Sustainable Data Infrastructure Tackles AI Storage Challenges

UltiHash, a provider of high-performance and eco-friendly data storage solutions, has launched its object storage platform to address critical issues in AI data storage. This development aims to resolve mounting challenges in the AI industry related to infrastructure costs and environmental sustainability. The new platform enhances…

Emily Popson, Vice President of Growth Marketing at CallRail – Interview Series

Emily Popson is the Vice President of Growth Marketing at CallRail, where she leads demand generation, website optimization, customer marketing, and content marketing teams. Having previously been a small business owner herself, Popson is passionate about making modern marketing analytics tools accessible to even the smallest teams…

Your guide to LLMOps

Understanding the varied landscape of LLMOps is essential for harnessing the full potential of large language models in today’s digital world. …

Leveraging Human Attention Can Improve AI-Generated Images

New research from China has proposed a method for improving the quality of images generated by Latent Diffusion Models (LDMs) models such as Stable Diffusion. The method focuses on optimizing the salient regions of an image –  areas most likely to attract human attention. Traditional methods,…

Scoring AI models: Endor Labs unveils evaluation tool

Endor Labs has begun scoring AI models based on their security, popularity, quality, and activity. Dubbed ‘Endor Scores for AI Models,’ this unique capability aims to simplify the process of identifying the most secure open-source AI models currently available on Hugging Face – a platform for…

Atomos Shogun Ultra for Worship Video – Videoguys

In this article from Atomos, Austin Allen, the lead filmmaker at Times Square Church in New York City, shares how the Atomos Shogun Ultra monitor has transformed the church’s video production workflow. Located in the heart of Manhattan, Times Square Church serves over 50,000 attendees annually, and is known for pushing the boundaries of filmmaking and video ministry. Allen, a long-time user of Atomos products, highlights the Shogun Ultra’s ease of use and versatility, making it a perfect solution for churches and organizations looking to improve their video production processes. Whether used for live broadcasts, studio shoots, or smaller projects, Allen emphasizes how the Shogun Ultra has made a significant difference in their workflow, especially when working with diverse production needs.

One of the standout features Allen discusses is the Camera to Cloud functionality integrated into the Shogun Ultra. This feature enables filmmakers to upload high-quality H.265 files directly to the cloud while shooting, which is particularly beneficial for remote editing and post-production workflows. For churches, this offers a tremendous advantage, as editors or social media teams working off-site can access footage immediately without the need for manual file transfers. Allen explains how this feature streamlines video production, making it faster and more efficient, especially for time-sensitive content like church services, conferences, or social media updates. This cloud-based workflow also adds redundancy, ensuring that teams always have a backup while allowing them to work on footage in real time.

Another key feature Allen praises is the Shogun Ultra’s ability to record in 6K ProRes RAW. This capability provides high-quality recording even when using smaller camera setups, which is ideal for churches or filmmakers who want top-tier production quality without needing large-scale equipment. Allen explains how the Shogun Ultra allows users to unlock the full potential of their cameras, whether they are using a RED, ARRI, or a smaller DSLR like the Canon R5. Additionally, the ability to record in ProRes RAW is crucial for color matching across multiple cameras, a common challenge in productions that involve different types of cameras. With the Shogun Ultra, churches and filmmakers can ensure consistent image quality and color matching, even when using a mix of larger and smaller cameras in the same project.

Allen highlights the Shogun Ultra as an essential tool for his team at Times Square Church. Its user-friendly design and advanced features, such as ProRes RAW recording and Camera to Cloud integration, make it a perfect fit for churches and organizations with high production needs but limited resources. By offering flexible recording options and seamless cloud integration, the Shogun Ultra helps simplify complex production tasks and accelerates post-production timelines. Whether it’s used for live church broadcasts, conferences, or social media content creation, Allen emphasizes how the Shogun Ultra has proven itself as an invaluable asset in their workflow, allowing them to push the boundaries of their video production efforts.

In conclusion, this article showcases how the Atomos Shogun Ultra monitor has revolutionized the video production workflow at Times Square Church. Its versatility across different camera setups, from high-end cinema cameras to smaller DSLRs, and its advanced features like Camera to Cloud and 6K ProRes RAW recording make it an indispensable tool for filmmakers and video teams. By simplifying video production processes and offering high-quality output, the Shogun Ultra is an excellent choice for churches, ministries, and organizations looking to elevate their video content creation.

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Read the full article from Atomos HERE

Beyond Chain-of-Thought: How Thought Preference Optimization is Advancing LLMs

A groundbreaking new technique, developed by a team of researchers from Meta, UC Berkeley, and NYU, promises to enhance how AI systems approach general tasks. Known as “Thought Preference Optimization” (TPO), this method aims to make large language models (LLMs) more thoughtful and deliberate in their…