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Today:

• AlphaFold Secures Nobel Chemistry

• Gradio 5 Launches with AI Playground

• Groq Unveils Whisper Large v3 Turbo

• Meta AI Adds Global Languages and Features

• Zoom Introduces AI Avatars for Meetings

• OpenAI Expands with New Global Offices

AlphaFold Secures Nobel Chemistry

Demis Hassabis and John Jumper of Google DeepMind won half of the 2024 Nobel Prize in Chemistry for their AI tool AlphaFold, which accurately predicts protein structures. This breakthrough has transformed research by speeding up protein folding predictions, aiding drug development, and advancing our understanding of biology. 

David Baker, who won the other half, developed tools like Rosetta and ProteinMPNN to design new proteins. These advancements have potential to improve vaccines, fight diseases like cancer, and create new materials, marking AI's growing role in scientific discovery. The prize is worth $1 million.

Gradio 5 Launches with AI Playground

Hugging Face has released Gradio 5, an update to its popular tool for creating AI-powered web apps. Gradio 5 simplifies development by allowing machine learning developers to build secure, scalable apps with just a few lines of Python. The new version emphasizes enterprise-grade security, with an independent audit conducted by Trail of Bits. 

A key feature is the AI Playground, enabling developers to generate apps using natural language prompts. With over 470,000 applications already created on Gradio, this update is poised to accelerate AI adoption in businesses, making development more accessible and efficient.

Groq Unveils Whisper Large v3 Turbo

Groq has launched Whisper Large v3 Turbo on GroqCloud, a faster and cost-effective version of OpenAI's Whisper model for multilingual speech recognition. Whisper Large v3 Turbo balances the speed and accuracy of Whisper Large v3 and Distil-Whisper, offering a 216x real-time speed factor with a ~1% lower Word Error Rate than Distil-Whisper. 

It is ideal for real-time applications like customer service chatbots, transcription systems, and voice-controlled devices. Available at $0.04 per hour, it provides a scalable solution for developers and enterprises needing rapid, accurate transcription in multiple languages.

Meta AI Adds Global Languages and Features

Meta AI is expanding its global presence, now available in 21 new locations, including the UK, Brazil, and parts of Latin America and Asia. The AI assistant supports additional languages like Tagalog, Arabic, Indonesian, Thai, and Vietnamese, making it accessible to more users. Meta AI introduces creative tools for generating personalized images, including the "Imagine me" feature, allowing users to visualize themselves in various scenarios. 

Additionally, it enhances coding and math capabilities with its advanced open-source model, Llama 405B. The AI is also rolling out on Ray-Ban smart glasses and will soon be integrated into Meta Quest for hands-free use.

Zoom Introduces AI Avatars for Meetings

Zoom is introducing AI avatars that can deliver messages for you, allowing users to create a digital version of themselves by recording an initial video. These avatars can then send personalized video updates via Zoom's Clips feature. Zoom emphasizes security with watermarking and authentication to prevent misuse. 

The AI avatars, available early next year with a $12 per month add-on, aim to make meetings more efficient. Zoom’s CEO envisions future AI advancements where digital twins handle meetings and emails, enabling users to multitask. The add-on will also integrate with productivity apps like Zendesk and Asana.

OpenAI Expands with New Global Offices

OpenAI is expanding globally with new offices in Singapore, Paris, Brussels, and more, alongside existing locations in cities like San Francisco, London, and Tokyo. This move follows OpenAI's $6.6 billion funding round and recent organizational changes. Singapore will serve as a hub for Asia Pacific operations, supporting customers and partners in the region. 

OpenAI's partnership with AI Singapore aims to extend its AI technology's reach in Southeast Asia. This expansion highlights OpenAI’s commitment to growing its global presence and supporting a diverse range of users with advanced AI capabilities.

🧠RESEARCH

LongGenBench: Long-context Generation Benchmark

LongGenBench is a new benchmark for evaluating long-context generation in language models, addressing the gap in current benchmarks that focus only on retrieval. The study reveals significant performance drops in both open-source and API-accessed models when generating long texts, with some models showing less degradation than others.

MathHay: An Automated Benchmark for Long-Context Mathematical Reasoning in LLMs

MathHay is a new benchmark to test large language models (LLMs) for long-context mathematical reasoning, addressing a gap in current evaluations. MathHay requires models to handle both information retrieval and complex calculations. Results show that even top models, like Gemini-1.5-Pro-002, perform poorly, with only 51.26% accuracy.

Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models

Grounded-VideoLLM is a Video Large Language Model designed to improve fine-grained temporal understanding in videos. Unlike current models, which struggle with precise moment tracking, Grounded-VideoLLM incorporates enhanced temporal modeling and timestamp representation. Through multi-stage training and a specialized dataset, the model excels in tasks like temporal sentence grounding and video question answering, showcasing its advanced video comprehension abilities.

Differential Transformer

Differential Transformer (Diff Transformer) is an advanced model designed to reduce irrelevant context by amplifying attention to relevant parts while canceling noise through a unique attention mechanism. This approach improves tasks like long-context modeling, information retrieval, and reduces hallucinations. Diff Transformer demonstrates better performance and robustness compared to standard Transformers, particularly in question answering, text summarization, and in-context learning.

ControlAR: Controllable Image Generation with Autoregressive Models

ControlAR, a new framework for controllable image generation using autoregressive (AR) models. It enhances AR models by integrating spatial controls like edges and depth maps, enabling more precise image generation. ControlAR uses a conditional decoding method, improving control efficiency and outperforming previous models like ControlNet. This approach also supports arbitrary-resolution images, offering superior performance in controllable image generation.

🛠️TOP TOOLS

HeyGen 3.0 - Create and translate videos with AI

Graphy - Add your data and Graphy's AI will create a chart and explain your key insights.

Opencord AI - Your AI Agent continuously finds the right customers and personalizes interactions for conversion

Manychat - Use Chat Marketing to drive more sales on autopilot

Codium - Quality-first AI code generation to help busy devs write, test and review

 code.

📲SOCIAL MEDIA

🗞️MORE NEWS

• Amazon's new Shreveport fulfillment center integrates advanced AI and robotics to boost efficiency and employee safety. The facility, spanning five floors, features systems like Sequoia and Proteus, improving logistics, sustainability, and speeding up deliveries for customers.

• Hailuo AI, by MiniMax, launched a new Image-to-Video feature, allowing creators to transform static images into videos. This update, backed by companies like Alibaba and Tencent, offers diverse visual styles and precise control for personalized, dynamic content creation.

• MediaTek's new Dimensity 9400 chipset, built on a 3nm process, offers faster performance, better power efficiency, and advanced AI capabilities. It supports AI video generation, agentic apps, and future devices like tri-fold phones, targeting high-end smartphones.

• OpenAI reported multiple attempts by cybercriminals to use its AI models, like ChatGPT, to influence elections through fake content. The company neutralized over 20 incidents in 2024, including fake U.S. election articles and social media comments.

• WikiProject AI Cleanup is a group of Wikipedia editors working to remove misleading, AI-generated content from the platform. Their efforts aim to protect Wikipedia from the inaccuracies plaguing other parts of the internet, like Google search and academic journals.