Adobe Firefly 🎬, Fei-Fei Li's $230M World Labs 🖥️, Switzerland unveils supercomputer Alps 🏔️

Adobe Firefly Introducing The Future of Video Editing with AI

Adobe has announced a major update to its generative AI model, Firefly, now expanding its capabilities to video editing. Initially launched in March 2023, Firefly has already been successful in the creative industry, with over 12 billion images generated globally. Now, Adobe is bringing this powerful AI to video content creation, a move designed to streamline workflows and push creative boundaries.

Key features:

Text-to-video generation, allowing users to create video content based on simple text prompts.

Image-to-video transformation, which animates still images into live-action clips.

Generative extend, a feature that seamlessly generates additional frames to fill gaps in footage, saving time and enhancing transitions.

Firefly is ethically designed, trained only on Adobe-licensed content, ensuring it is commercially safe and free from copyright issues. It has broad applications across video editing, animation, and special effects, enabling creators to generate high-quality content quickly and efficiently. Firefly’s beta will roll out later this year, and users can join the waitlist for early access. This tool is set to transform video editing by making it faster, easier, and more creative for content creators.

Read the full version Here!

Fei-Fei Li's $230M AI Startup World Labs

French AI startup Mistral has launched Pixtral 12B, a 12-billion-parameter multimodal model capable of processing both text and images. Built on their previous text model, Nemo 12B, Pixtral 12B adds visual capabilities, making it a strong competitor to OpenAI and Anthropic. It stands out with its ability to handle an unlimited number of high-resolution images and has advanced architecture for robust image analysis.

The model is freely available under an Apache 2.0 license on GitHub and Hugging Face, and will soon be testable through Mistral’s chatbot, Le Chat, and API platform, La Plateforme. Mistral’s open-access approach, along with partnerships with Microsoft, AWS, and Snowflake, positions the company as a growing AI force.

Following Pixtral 12B, Mistral continues to develop models like Codestral (for coding) and Mixtral (for math and science), democratizing AI for developers and organizations alike.

Read the full version Here!

Switzerland unveils supercomputer Alps, aiming to revolutionise AI

Switzerland has inaugurated Alps, one of the world's fastest supercomputers, at the Swiss National Supercomputing Centre in Lugano. Developed by ETH Zurich, Alps aims to position Switzerland as a global leader in trustworthy artificial intelligence solutions. Although it currently ranks as the world’s sixth most powerful supercomputer, it has only reached 60% of its potential.

Alps is designed to handle extreme data and computing demands and will be used for applications in fields such as medicine, climate research, and weather forecasting. The MeteoSwiss national weather service is already using Alps for high-resolution weather prediction. The supercomputer, housed in 33 cabinets, is capable of performing operations that would take a commercial laptop 40,000 years to complete in just a day. The project aims to advance AI development and scientific research in Switzerland.

IBM Free Course: Website Testing and Deployment

What you will learn

• Identify different types of website testing and the areas to test

• Describe the advantages of automated testing

• Explain version control systems for web development

• Identify the steps to publish a website

• Differentiate between continuous delivery and continuous deployment

• Describe the purpose, benefits, and workflow process in the DevOps lifecycle

• Describe responsive design and its importance

• Explain delivering web content as a website and delivering web content in a web application

• Differentiate between containers and virtual machines

• Identify methods and common tools to test and automate the deployment of websites

• Explain cloud computing for web development and deployment

• Explain containerization for website development and deployment

⭐⭐⭐

IBM Free Course: Your Future in Web Development: The Job Landscape

What you will learn

• Identify industries in which web developers work

• Recognize the global demand for web development professionals in the job market

• Recognize the future of the web development field

• Identify common roles and specialties in the web development field

• Explain the primary responsibilities of different web development roles

• Identify the skills that web developers need

• Distinguish between different roles on a web development team

• Identify resources to learn more and stay up to date in the field of web development

  ⭐⭐⭐
  
  

LIST OF TOOLS

🏷️ Labelbox: Collaborative platform for data annotation.

📊 SuperAnnotate: End-to-end platform for AI data annotation.

☁️ Amazon SageMaker Ground Truth: Data labeling service with machine learning.

🤖 Dataloop: AI-driven data management and annotation.

🧠 V7 Darwin: Platform for automated annotation with AI models.

✍️ Prodigy: Interactive annotation tool for NLP models.

🧑‍💻 Snorkel: Framework for programmatically managing training datasets.

China wants red flags on all AI-generated content posted online
China has proposed regulations that would require digital platforms to label all AI-generated content with visible logos and embedded metadata. For audio and video content, the rules demand notices at the beginning, end, and sometimes mid-file. Additionally, platforms would need to retain logs of users who post AI-generated content for six months. If content lacks metadata, providers must investigate and flag it as AI-generated if suspected. These measures are aimed at increasing transparency and controlling online content. Public comments are open until October.

Why it matters: China’s regulations will enhance transparency and accountability for AI-generated content, a step toward more controlled and responsible digital platforms.

Practical value: Platforms and companies must update their content management systems to stay compliant.

As Chinese AI and GPU demand heats up, a Hong Kong data centre turns to liquid cooling
The article highlights how increasing demand for AI and GPUs in China is leading to greater power and cooling requirements in Hong Kong's data centers. To handle the heat generated by high-performance hardware, a Hong Kong data center has switched to liquid cooling systems. This shift is driven by the need for energy efficiency and improved thermal management, as more companies seek advanced computing resources for AI development.

Why it matters: As AI-driven demands increase, data centers need more efficient solutions to manage heat generated by high-performance hardware.

Practical value: Liquid cooling systems offer greater energy efficiency, which is crucial as AI hardware consumption rises.


Building AI Technology for the UK in a Responsible and Transparent Way
Meta is implementing AI training using public content shared by adults on Facebook and Instagram in the UK. This aims to develop generative AI models reflecting British culture, history, and idiom. Meta has engaged with the UK's Information Commissioner's Office (ICO) to ensure transparency and allow users to opt out of having their data used. UK users will receive notifications explaining how to object to data usage. Meta commits to not using private messages or data from users under 18.

Why it matters: Meta’s focus on data transparency aligns with regulatory standards and allows users more control over how their data is used for AI training.

Practical value: UK users can opt-out of data sharing, providing greater privacy control and adherence to UK regulations.


Oracle considers nuclear energy to power its AI
Oracle plans to use nuclear energy to power its AI-driven data centers, which require massive amounts of electricity due to the growing demand for AI technologies. Oracle's largest upcoming data center will utilize small modular reactors (SMRs) to meet its energy needs, as traditional power sources are becoming insufficient. Other tech giants, including Microsoft and Amazon, are also exploring nuclear options. The move highlights the increasing energy demands from AI projects and the competition among companies to lead in AI and computing power.

Why it matters: As AI’s energy demands rise, Oracle’s move to adopt nuclear power could set a precedent for sustainable, high-power data centers.

Practical value: Using small modular reactors (SMRs) could cut down on energy costs and meet AI’s growing power needs, offering a sustainable solution.

👥 Connect & Feedback!

👉 Join Us:

📧 Advertise In Weekly AI News:

📧 Contact directly at [email protected]

😍 Share with your friends!