ghostai1 (GHOSTAI)

posted an update about 15 hours ago

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# The applications in healthcare of Computer Vision in 2024

In recent times, AI-driven Computer Vision has made significant strides in various industries, and healthcare is no exception. This revolutionary technology leverages artificial intelligence to analyze and interpret visual data, opening up a world of possibilities in the medical field.

AI-driven Computer Vision has already demonstrated its prowess in diagnosing diseases, such as detecting early signs of cancer, identifying skin conditions, and assessing brain activity. With ongoing advancements in this field, the potential applications are virtually limitless.

For instance, advanced AI-driven Computer Vision algorithms can analyze medical images with impressive accuracy, helping doctors make more informed decisions when it comes to treatment plans. Additionally, by monitoring patients' vital signs in real-time, these systems can detect changes and alert medical professionals to potential health issues before they escalate.

The synergy between AI and Computer Vision is undoubtedly transforming healthcare. While the technology is still in its early stages, it's safe to say that AI-driven Computer Vision will play an increasingly vital role in shaping the future of medicine.

Whether it's diagnosing diseases, monitoring patients' health, or revolutionizing treatment plans, AI-driven Computer Vision holds tremendous promise for the healthcare industry. As the technology continues to evolve, we can expect even more groundbreaking applications in the coming years, ensuring that patients receive the best possible care.

reacted to their post with 👀 2 days ago

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# Computer Vision and societal impact: The Next Frontier

The world of technology is rapidly evolving, and one of the most significant breakthroughs in recent years has been the advent of AI-driven Computer Vision. This cutting-edge technology has revolutionized the way we perceive the world around us, and its societal impact is undeniably profound. From healthcare to retail, AI-driven Computer Vision is making its presence felt in every walk of life, and its applications are only growing more advanced.

AI-driven Computer Vision uses advanced algorithms to enable computers to interpret and understand visual data, much like the human eye does. This means that machines can now see, analyze, and respond to visual cues in real-time. This has opened up a world of possibilities, from self-driving cars to advanced medical imaging.

In healthcare, AI-driven Computer Vision is being used to analyze medical imaging and detect diseases at an early stage. This technology is helping doctors diagnose and treat patients more effectively, leading to better outcomes and improved patient care. In the retail industry, AI-driven Computer Vision is being used to analyze customer behavior and preferences, allowing retailers to tailor their marketing strategies to meet the needs of their customers.

The societal impact of AI-driven Computer Vision is vast and far-reaching. As the technology continues to advance, we can expect even more revolutionary applications and uses. From autonomous vehicles to advanced surveillance systems, the possibilities are endless. It's an exciting time to be alive, and AI-driven Computer Vision is at the forefront of this technological revolution. Imagine a world where machines can see and interpret visual data as effectively as humans, and you begin to understand the true potential of this technology. The future is bright and full of possibilities, and AI-driven Computer Vision is leading the way.

posted an update 3 days ago

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1216

# Computer Vision and societal impact: The Next Frontier

The world of technology is rapidly evolving, and one of the most significant breakthroughs in recent years has been the advent of AI-driven Computer Vision. This cutting-edge technology has revolutionized the way we perceive the world around us, and its societal impact is undeniably profound. From healthcare to retail, AI-driven Computer Vision is making its presence felt in every walk of life, and its applications are only growing more advanced.

AI-driven Computer Vision uses advanced algorithms to enable computers to interpret and understand visual data, much like the human eye does. This means that machines can now see, analyze, and respond to visual cues in real-time. This has opened up a world of possibilities, from self-driving cars to advanced medical imaging.

In healthcare, AI-driven Computer Vision is being used to analyze medical imaging and detect diseases at an early stage. This technology is helping doctors diagnose and treat patients more effectively, leading to better outcomes and improved patient care. In the retail industry, AI-driven Computer Vision is being used to analyze customer behavior and preferences, allowing retailers to tailor their marketing strategies to meet the needs of their customers.

The societal impact of AI-driven Computer Vision is vast and far-reaching. As the technology continues to advance, we can expect even more revolutionary applications and uses. From autonomous vehicles to advanced surveillance systems, the possibilities are endless. It's an exciting time to be alive, and AI-driven Computer Vision is at the forefront of this technological revolution. Imagine a world where machines can see and interpret visual data as effectively as humans, and you begin to understand the true potential of this technology. The future is bright and full of possibilities, and AI-driven Computer Vision is leading the way.

reacted to openfree's post with 🤝👍❤️👀🚀🔥 3 days ago

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🌊 CycleNavigator: Visualizing Economic and Political Cycles Through AI at a Glance! 🧠💹

💫 Strategic Intelligence Tool for Navigating Historical Waves and Forecasting the Future

Hello there! 🙌 CycleNavigator brings you an innovative fusion of economic history, data visualization, and generative AI. This open-source project revolutionizes decision-making by displaying four major economic and political cycles through interactive visualizations!

📊 Experience Four Major Cycles in One View:

Business Cycle (≈9 years) ⏱️ - The 'heartbeat' of investment and inventory
Kondratiev Wave (≈50 years) 🌐 - Long technological innovation waves
Finance Cycle (≈80 years) 💰 - Rhythm of debt and financial crises
Hegemony Cycle (≈250 years) 🏛️ - Transitions in global order

✨ Cutting-Edge Features:

Interactive Wave Visualization 🎯 - Intuitive graphs powered by Plotly
AI-Powered Historical Similarity Mapping 🧩 - Connecting past events via SBERT embeddings
Real-time News Integration 📰 - Linking current issues to long cycles with Brave API
GPT-Enhanced Analysis 🤖 - Delivering structured insights through optimized prompting

💡 Practical Applications:

Improve decision accuracy ⚡ by instantly grasping economic trends
Identify connections 🔄 between breaking news and long-term cycles
Gain reliable insights 🔍 through verifiable data and transparent methodology
Extend to multiple domains 🚀 - education, research, asset management, policy institutes

🌟 A New Intelligence Paradigm:
When slow cycles (9-50-80-250 years) and fast headlines (Brave API) meet on a single canvas, experience an innovative decision-making environment where you can reconstruct the past, interpret the present, and design future scenarios!

🔗 Open-Source Repository: openfree/Cycle-Navigator
🔗 Blog Article: https://huggingface.co/blog/openfree/cycle-navigator
👥 Join the Community: https://discord.gg/openfreeai

reacted to regisss's post with 🚀 3 days ago

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It will be very interesting to benchmark how energy-efficient the new Falcon-Edge is: https://huggingface.co/blog/tiiuae/falcon-edge

Should be super efficient on CPU according to the numbers published for BitNet: https://github.com/microsoft/BitNet/blob/main/assets/intel_performance.jpg

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reacted to ProCreations's post with 🔥 3 days ago

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My first ever working model!
Introducing tinyvvision. An extremely small zero shot image classification model for simple shapes, letters, colors, and numbers. This is a foundation model for Intellision, an image-text-to-text model, which will be much bigger but still impressively small.
ProCreations/tinyvvision
NOTE: it’s small, mistakes will happen!!!! Not meant for complex stuff, just a demo for simple stuff.

posted an update 4 days ago

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2151

# How Neural Networks is Shaping technical challenges

The first and foremost challenge is the issue of overfitting. Overfitting occurs when a model becomes too complex, and it starts learning the noise instead of the patterns in the data. This leads to the model performing poorly on new, unseen data. To overcome this challenge, techniques such as regularization and dropout can be used.

Another challenge is the need for large amounts of data. Training a neural network requires a significant amount of data, and in some cases, this might not be available. Data augmentation and transfer learning are the ways to address this issue. Moreover, the lack of interpretability of neural networks is another challenge. It's difficult to understand the way a neural network makes its decisions. LIME (Local Interpretable Model-Agnostic Explanations) and SHAP (SHapley Additive exPlanations) are two techniques that can help to provide explanations for the neural network's decisions.

The final challenge is the need for high computational resources. Training a neural network requires a lot of computational power, and in some cases, this might not be available. Techniques such as model compression and quantization can be used to address this issue.

Despite these challenges, the advancements in AI and the applications of neural networks are truly remarkable. The ability of neural networks to learn from vast amounts of data and make decisions based on patterns is truly a sight to behold. As we continue to overcome these challenges, the future of AI and neural networks looks brighter than ever.

replied to merve's post 6 days ago

Built on QWQ oooooo ok im interested

reacted to merve's post with 🔥 6 days ago

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VLMS 2025 UPDATE 🔥

We just shipped a blog on everything latest on vision language models, including
🤖 GUI agents, agentic VLMs, omni models
📑 multimodal RAG
⏯️ video LMs
🤏🏻 smol models
..and more! https://huggingface.co/blog/vlms-2025

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reacted to AdinaY's post with 🚀 6 days ago

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Matrix Game 🎮 an interactive foundation model for controllable game world generation, released by Skywork AI.

Skywork/Matrix-Game

✨ 17B with MIT licensed
✨ Diffusion-based image-to-world video generation via keyboard & mouse input
✨ GameWorld Score benchmark for Minecraft world models
✨ Massive Matrix Game Dataset with fine-grained action labels

replied to ProCreations's post 8 days ago

its look clean and professional thumbs up

replied to ProCreations's post 8 days ago

noice ill have to run the build

replied to AdinaY's post 11 days ago

Creates music tracks or vocal how can you do that without VST server im take a look

reacted to nyuuzyou's post with ❤️ 11 days ago

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nyuuzyou/svgfind 👀

Well, everything happens for the first time 🤗. Thank you all!

reacted to ZennyKenny's post with 🧠 12 days ago

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After hearing the news that Marc Andreessen thinks that the only job that is safe from AI replacement is venture capital: https://gizmodo.com/marc-andreessen-says-one-job-is-mostly-safe-from-ai-venture-capitalist-2000596506 🧠🧠🧠

The Reasoned Capital synthetic dataset suddenly feels much more topical: ZennyKenny/synthetic_vc_financial_decisions_reasoning_dataset 🔥🔥🔥

Really looking forward to potentially expanding this architecture and seeing how algorithmic clever investment truly is! 💰💰💰

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