Snapchat AI Video 👻, NVIDIA AI Aerial Platform 🛰️, 100 New Open-Source AI Models 🌐

Snapchat Unveiled "Snap AI Video"

Snapchat introduced a new AI tool, Snap AI Video, at its annual Snap Partner Summit, revolutionizing content creation on social media. Initially available to select creators in beta, the tool will eventually be rolled out to all users. Key features include text-to-video generation and, in future updates, image-to-video generation. Safety and transparency are prioritized, with safeguards in place and AI-generated videos marked by a watermark.

Snapchat is positioning itself ahead of competitors like TikTok and Instagram by offering creators easy-to-use, AI-powered video tools that don’t require advanced editing skills. This empowers the creator economy, attracting new users and brands. The industry is watching closely as Snapchat's innovation could set a trend for AI-driven content creation across digital platforms.

The public and industry response has been positive, with the tool expected to save time and resources for creators and marketers. Snap AI Video may lead to a shift in how content is produced and consumed online, with Snapchat taking an early lead ahead of expected releases from OpenAI and Adobe later this year.

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Revolutionizing Telecommunications With AI-RAN and NVIDIA AI Aerial

The telecommunications industry is evolving with AI-powered infrastructures to support emerging technologies like generative AI, autonomous vehicles, and 5G advancements. NVIDIA has launched AI Aerial, a new platform designed for AI-driven radio access networks (AI-RAN), helping telecom providers optimize networks, reduce costs, and create new revenue streams.

Key features of NVIDIA AI Aerial include accelerated RAN for high-performance workloads, AI frameworks for enhanced signal processing, and the Omniverse Digital Twin tool for precise network simulations. These tools enable telecom operators to develop scalable, energy-efficient networks and deploy AI solutions at the edge.

NVIDIA has partnered with companies like T-Mobile, Ericsson, and Nokia to commercialize AI-RAN technology. Supported by a growing ecosystem of partners such as SoftBank, Fujitsu, and Dell, NVIDIA AI Aerial is driving innovation in 5G/6G networks, paving the way for an AI-powered future in telecommunications.

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China’s Alibaba launches over 100 new open-source AI models

Alibaba has released over 100 new open-source AI models, known as Qwen 2.5, designed for applications across sectors like automobiles, gaming, and science research. These models enhance capabilities in math and coding and are available for researchers and businesses globally to use for creating their own AI applications. The move aims to boost competition with domestic rivals Baidu and Huawei, as well as global giants like Microsoft and OpenAI.

Alibaba also upgraded its proprietary flagship model, Qwen-Max 2.5, surpassing competitors such as Meta’s Llama and OpenAI's GPT-4 in areas like reasoning and language comprehension. The company launched a text-to-video tool, similar to OpenAI’s Sora, allowing users to generate videos from text prompts.

Eddie Wu, Alibaba’s CEO, emphasized the company's significant investments in AI and cloud infrastructure as it looks to reinvigorate growth amid rising competition and challenges in the Chinese market. Alibaba, a leading cloud provider in China, hopes its new AI models will attract more customers to its cloud services both domestically and internationally.

Coursera: DeepLearning.AI “AI For Everyone”

What you will learn

• Understand common AI terminology, such as neural networks, machine learning, deep learning, and data science.

• Learn the realistic capabilities and limitations of AI.

• Identify opportunities to apply AI to problems within your organization.

• Gain insight into what it feels like to build machine learning and data science projects.

• Learn how to work effectively with an AI team and develop an AI strategy for your company.

• Navigate ethical and societal discussions related to AI.

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Coursera: DeepLearning.AI “Generative AI for Everyone”

What you will learn

• Understand how generative AI works, including its capabilities and limitations.

• Learn how to use generative AI in day-to-day work through hands-on exercises.

• Gain skills in effective prompt engineering.

• Explore advanced uses of generative AI beyond basic prompting.

• Discover real-world applications of generative AI and common use cases.

• Learn about the impact of generative AI on business and society.

• Ensure that you can participate in the AI-powered future.

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LIST OF TOOLS

🧠 TensorFlow: Machine learning framework for NLP tasks.

🔥 PyTorch: Machine learning library with dynamic computation graph.

📚 spaCy: Efficient NLP library with pre-trained models.

🤗 Hugging Face Transformers: Pre-trained models for NLP tasks.

📝 Natural Language Toolkit (nltk): Comprehensive NLP text processing library.

💡 AllenNLP: Deep learning platform for NLP.

✍️ OpenAI GPT: Text generation and completion.

Bill Gates says he'd start Microsoft again as an AI-centric firm to rival OpenAI and Google
Bill Gates, in a recent interview, mentioned that if he could start Microsoft again, it would be as an AI-focused company to compete with OpenAI and Google. He emphasized the importance of identifying a unique AI niche, as the current landscape is highly competitive. Gates also criticized many AI startups' approaches and acknowledged the difficulty in finding clear success paths in the AI sector. Despite Microsoft's success in software, Gates believes AI would require a distinct, innovative strategy.

Why it matters: Gates’ focus on AI underscores how vital it is for tech giants to pivot towards AI to remain competitive. His comments emphasize the need for innovation in the rapidly evolving AI sector.

Practical importance: For startups and large firms alike, finding a unique AI niche is critical to succeed in a crowded marketplace.

Who needs GPT-4o Advanced Voice Mode? Hume’s EVI 2 is here with emotionally inflected voice AI and API
Hume AI has launched EVI 2, an emotionally intelligent voice-to-voice AI model. It supports rapid, human-like conversations, recognizes tone, and generates personalized voices. EVI 2 is available for developers via an app and API, focusing on user well-being and satisfaction by adapting to emotional cues.

Why it matters: Emotional intelligence in AI is a growing trend that can revolutionize user interaction, creating more personalized and empathetic digital assistants.

Practical importance: Developers can use EVI 2’s API to build applications that respond to user emotions, enhancing customer experience and satisfaction.


Chinese AI start-up founder hails ‘important improvement’ in OpenAI’s newest model
Yang Zhilin, founder of Moonshot AI, praised OpenAI's new o1 model for its significant advancements in reasoning capabilities. He highlighted that the model's ability to process complex tasks with human-like thought processes is a key improvement. The o1 model uses reinforcement learning, allowing it to solve reasoning-heavy tasks like coding and science more effectively. Yang emphasized that this represents a major step forward in AI's potential to handle intricate tasks that usually require significant human effort.

Why it matters: OpenAI’s o1 model represents a significant leap in reasoning abilities, which could set new standards for AI performance in complex tasks.

Practical importance: Businesses can leverage models like o1 to handle high-level reasoning tasks, improving efficiency in fields like science, coding, and beyond.


Gemini Live Rollout for Free Android Users Announced by Google
Google has started rolling out the Gemini Live feature for free Android users, expanding from its initial launch for subscribers. This update allows users to interact with the digital assistant in a more conversational manner, with features like hands-free operation and multiple voice options. Users can control it while their phone is locked, and the feature is set to expand to iOS soon. Gemini Live also includes tutorials for voice customization and broader integration across Google apps.

Why it matters: Google is democratizing access to its AI-powered digital assistant, offering new capabilities to Android users for hands-free, conversational interactions.

Practical importance: Users gain greater control and customization over their digital assistants, expanding usage scenarios across Google’s ecosystem.

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