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AI Enthusiast Weekly(2024-06-24) : China Leads in Developing IEEE Financial Language Model Standard

China Leads in Developing IEEE Financial Language Model Standard

China leads in financial AI standards. IEEE approves P3826, a Chinese-led financial language model standard. IEEE forms a working group, headed by a Chinese professor. China's tech prowess in finance grows, setting global benchmarks.

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AI News

Summer Domain Trading Update: .AI Domains Lead Sales

Summer Domain Trading Update: .AI Domains Lead Sales

Summer sales surge in domain trading: Despite seasonal slowdown, high-end sales persist. .AI domains dominate with seven entries, led by Fantasy.ai at $120,000. Hollywood.ai, Meld.ai, and Inventive.ai follow. .AI surpasses .com with 10 spots. Open.network and RKX.com tie at $100,000 for notable .com sales.

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2024 World Intelligent Industry Expo Highlights AI and Future Mobility

The 2024 World Intelligent Industry Expo opens in Tianjin. The theme "Intelligence Drives the World, Capability Shapes the Future" focuses on artificial intelligence, intelligent connected vehicles, and smart manufacturing. Featuring 10 exhibition zones spanning 100,000 square meters, 550 companies are participating. Delegates from 49 countries convene to discuss the smart industry.

The smart industry serves as the engine of the future. This expo brings together global wisdom, promotes technological exchange, and fosters industrial development. Artificial intelligence leads transformative change, intelligent connected vehicles drive towards the future, and smart manufacturing enhances efficiency. This event is not just a showcase but a collision of ideas and a preview of the future.

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Huawei Cloud Launches Pangu Large Model 5.0, Enhancing AI Capabilities

Huawei Cloud has unveiled Pangu Large Model 5.0, enhancing its capabilities across multiple domains. This update focuses on full-series upgrades, multimodal enhancements, and stronger reasoning skills. It's set to accelerate deployment in over 30 industries, spanning 400 scenarios, fundamentally transforming various sectors.

Key milestones include:

  • Establishing an international standard for code large models.
  • Integration with HarmonyOS at Huawei Developer Conference 2024.
  • Provision of instant, powerful computing resources in Hong Kong for model training and inference.
  • Recognition of the Pangu Meteorological Model as one of China's top scientific advancements in 2023.

This model signifies a leap in AI application, pushing boundaries in technology and industry.

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IceCube Observatory Detects Cosmic Tau Neutrinos, Advancing Astrophysics

IceCube Observatory Detects Cosmic Tau Neutrinos, Advancing Astrophysics

The IceCube Neutrino Observatory, buried deep within the Antarctic ice, has successfully captured elusive high-energy tau neutrinos. These particles, originating from cosmic phenomena such as black holes, are exceptionally rare yet incredibly powerful, capable of traversing immense cosmic distances.

Neutrinos, ethereal particles that permeate the universe, exist in three varieties: electron, muon, and tau. Each type exhibits a unique signature upon interacting with matter. IceCube's sensors are adept at detecting these interactions, which manifest as flashes of light within the ice.

Detecting tau neutrinos, the most challenging to observe, can result in either a continuous trail or a sudden burst of light. Advanced machine learning was essential to analyze a decade's worth of data, ultimately identifying seven robust candidates.

This significant breakthrough not only validates the existence of cosmic tau neutrinos but also bolsters the theory of neutrino oscillation—a transformation in flavor during their journey. This advancement brings us closer to unraveling the universe's most energetic phenomena and the enigmatic neutrinos they generate.

As our tools continue to improve and more data is collected, the enigmas surrounding these cosmic messengers will gradually be revealed, providing valuable insights into the universe's most potent engines and the expansive, unexplored regions that lie between them.

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Tools

"Monster API: AI-Powered Text-to-Image Transformation for Stunning Visual Content"

The Monster API quickly transforms text prompts into impressive images. It uses AI to generate visual content from textual input. Link: http://monsterapi.ai

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"Revolutionizing Digital Media: AI Voice Actors Redefine Scripted Performances"

AI voice actors, powered by SynthesiaIO, now read scripts. A technological leap, merging voice synthesis with acting. SynthesiaIO crafts synthetic voices, indistinguishable from human ones, for scripted performances. A blend of art and algorithm, redefining the actor's role in digital media.

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"TikTok Launches Symphony: AI Suite for Trend Analysis and Video Creation"

TikTok unveils Symphony, a suite of AI tools. Symphony Assistant reveals trending content and scripts videos. Symphony Creative Studio crafts TikTok previews swiftly from product details.

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"1px: Transform Personal Photos into Stylized Portraits with Free Credits"

'1px: Transform Personal Photos into Stylized Portraits with Free Credits'

At 1px, utilize your free credits to convert personal photographs into stylized portraits. This innovative method of image editing is worth trying out. Perfect for surprising loved ones and potentially promoting harmony.

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Exploring AI's Perplexity: A Deep Dive into an AI-Powered Search Engine with its CEO

Exploring AI's Perplexity: A Deep Dive into an AI-Powered Search Engine with its CEO

Summary: The article explores AI's Perplexity, a search engine, through a comprehensive interview with its CEO. The discussion spans 3 hours and 50,000 words, delving into AI's impact on knowledge and humanity.

Explanation:

  • AI (Artificial Intelligence): Technology designed to perform tasks that typically require human intelligence, such as understanding language or recognizing patterns.
  • Perplexity: In this context, an AI-powered search engine that aims to provide more intuitive and context-aware search results.
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Resource

Apple Developer Academy Introduces AI Training for Enhanced App Development

Apple is broadening its AI educational offerings, providing Developer Academy students and alumni with foundational AI training. Beginning in the fall, participants will acquire skills in constructing, training, and deploying machine learning models tailored for Apple devices. The curriculum, which encompasses 18 academies worldwide, delves into Core ML and AI model development. New tools, such as Swift Assist in Xcode 16, along with enhancements in Swift 6, are designed to enhance creativity and efficiency in app development.

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Senior Developers Embrace Low-Code and AI Tools for Innovation

In this podcast episode, Adrian Twarog, a seasoned software engineer, shares his journey from office IT to YouTube educator. Twarog honed his skills through voluntary web design projects and later created over 300 YouTube tutorials in a year, including popular AI engineering content. Despite being geographically distant from tech hubs, Twarog remains at the cutting edge of technology, influencing millions through his freeCodeCamp courses and a design book. His story underscores the value of continuous learning and adaptability in the tech field.

Twarog's embrace of low-code and AI tools reflects a broader trend among senior developers seeking to streamline development and innovate faster. His experience suggests that staying relevant in tech requires not just technical prowess but also a willingness to explore new tools and platforms.

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Learn to Build Intelligent Apps with Mistral AI in New FreeCodeCamp Course

Open source LLMs from Mistral AI empower intelligent app creation without incurring API call fees. A new course on freeCodeCamp.org, developed in collaboration with Scrimba, imparts this skill. Spanning over 25 lessons, participants delve into Mistral's models and tools, crafting apps ranging from basic chat completions to sophisticated features such as Retrieval-Augmented Generation (RAG) and function calling. Key topics encompass setting up vector databases, mastering semantic search, and leveraging Ollama for local model deployment. This course is ideal for rapid, comprehensive learning in AI app development.

Retrieval-Augmented Generation (RAG) is a technique that enhances AI's capability to retrieve and generate information in response to specific queries, thereby improving the relevance and depth of AI responses.

Vector databases store data as vectors, facilitating efficient and precise retrieval through similarity searches. This is essential for AI applications that demand swift, relevant access to information.

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Social Media Comments

  1. As the field of artificial intelligence research and development continues to evolve, the demand for training large language models (LLMs) has grown exponentially, requiring immense computational resources. Meta faces several challenges in scaling up model training capabilities, including ensuring hardware reliability, rapid failure recovery, efficient preservation of training states, and optimizing GPU utilization. —— ginobefun
  1. DeepSeek has released the open-source model DeepSeek-Coder-V2, which surpasses GPT-4-Turbo in both coding and mathematical capabilities. Additionally, it excels in general-purpose abilities in both Chinese and English, ranking it among the top tier domestically. The model now supports 338 programming languages, up from 86, catering to a more diverse range of development needs. It has also expanded its context length support from 16K to 128K, enabling the handling of longer input content. —— 小互
  1. OpenAI and Color Health have just announced a partnership to co-create an AI assistant for personalized cancer care. Utilizing GPT-4o, this AI will analyze patient data, guidelines, and medical records to identify screening gaps and develop tailored plans. Othman Laraki expressed excitement about the launch of the @Color Copilot, developed in collaboration with @OpenAI, and shared insights on how this technology aims to enhance cancer screening and care. —— Will