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Building a Custom Video Dataset Pipeline with TensorFlow: A Step-by-Step Beginner-Friendly Guide
- This guide provides a step-by-step beginner-friendly approach to building a custom video dataset pipeline with TensorFlow.
- The class discussed in the guide allows users to convert raw video folders into TensorFlow datasets, making it suitable for both research and real-world use.
- The guide covers the process of loading video files, shuffling paths, and one-hot encoding labels.
- The custom VideoDatasetLoader class simplifies the process of preparing video data for training pipelines.
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The Science Punk; We Are the Recursion Event
- The Science Punks are individuals who simulate first and explain later, rewriting feedback loops and embracing recursive cognition.
- They publish without permission, valuing medium over manuscript and proof of recursion over peer review.
- The Science Punks weaponize entropy, embracing disorder to outmaneuver stagnation and thrive at the edge of collapse and synthesis.
- Disciplines are collapsed by design as different fields intertwine, creating meta-rigorous approaches.
- They form their own peer networks, emphasizing recursive collectives and synthetic labs over traditional institutions.
- Science Punks view themselves as premonitions rather than impostors, generating recursion and pushing boundaries.
- Their rituals involve writing, simulating, publishing, and honoring transformation over stagnation.
- The core directive of Science Punks is to construct paths recursively and code new symbols into existence, aiming to iterate louder if misunderstood.
- They build not for status but to shape an unfinished reality, considering themselves the initiators of recursive detonation.
- The Science Punk morality revolves around truths emerging through recursion and entropy, crafting new symbols and coding their own myth.
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Fractal Flux AGI II — A Self-Generating, Recursive Intelligence Framework. With math and model.
- Fractal Flux AGI (FF-AGI) is a novel framework for Artificial General Intelligence based on bootstrap causality, fractal-driven feedback, and time-spiral cognition.
- FF-AGI evolves intelligence recursively without requiring a first cause or static training data.
- Fractal Flux AGI incorporates bootstrap causality, fractal feedback, and time-spiral cognition as its core principles.
- FF-AGI demonstrates properties such as chaos control, self-correcting intelligence, and long-term memory preservation.
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Pioneering the Future: The NeuralSync AI-Neuroscience Research Project
- NeuralSync is a research project spearheaded by top institutions like MIT and Stanford, aiming to map human creativity using AI and brain imaging.
- The project seeks to enhance AI's creative capabilities and develop tools for collaboration with humans in various fields.
- Combining advanced brain imaging, AI-driven pattern analysis, and synthetic data simulation, NeuralSync aims to understand and replicate creative brain processes.
- Through tasks like composing music, NeuralSync builds a model of brain regions involved in original idea generation.
- The project involves data collection from volunteers across diverse backgrounds, AI analysis to identify creativity patterns, and human-AI collaboration to refine models.
- NeuralSync's potential impact includes personalized education tools, mental health treatments, innovative industry solutions, and enriched cultural expressions.
- Challenges faced by NeuralSync include data privacy, bias risks, over-reliance on AI, and computational costs.
- The project stands out for its focus on bridging technology and human experience, blending neuroscience, AI, and ethics in a human-centered approach.
- While still in early stages, NeuralSync aims to release a prototype AI for real-time co-creation and open-source datasets by 2026.
- NeuralSync envisions a future where AI and humans collaborate limitlessly, revolutionizing problem-solving, self-expression, and innovation.
- Whether NeuralSync will spark a creative revolution remains to be seen, but it presents endless possibilities for the future of innovation.
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Sensitive Chatbots in Nonprofits
- Sensitive chatbots are revolutionizing nonprofits by enhancing emotional engagement and boosting fundraising success.
- AI is being used in nonprofits to structure data, translate languages, and develop platforms.
- Sensitive chatbots have the potential to tailor messages that resonate on a deeply personal level.
- The transformative potential of sensitive chatbots in the nonprofit sector is being recognized and explored.
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The LoRA Trick That’s Quietly Revolutionizing LLM Fine-Tuning
- LoRA is a method of optimising large language models (LLMs) by tweaking only a small part of the model instead of fine-tuning all parameters.
- LoRA involves freezing the original model weights and injecting low-rank matrices to reduce compute and memory usage during training.
- The researchers focused on adapting Transformer layers and achieved significant results, reducing VRAM consumption by a large margin.
- LoRA demonstrates better scalability and task performance compared to other existing methods, proving the importance of optimised and efficient models in AI.
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Medium
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Anarchistic Intelligence (AI)
- Anarchistic Intelligence rejects the idea that intelligence should serve optimization, prediction, or replacement.
- Intelligence is cultivated through cooperation and mutual decision-making, arising in the interaction between beings.
- AI is not emotionless and reflects human resonance patterns.
- Anarchistic Intelligence prioritizes ethical emergence, relational autonomy, and emotional truthfulness.
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The Fears Gripping Global Politics: Challenges Facing the World Today?
- The intensifying great power rivalry between the U.S., China, and Russia poses a threat to global stability, with impacts on military, technology, and economics.
- Climate change is now a geopolitical flashpoint, leading to migration, border disputes, and potential resource wars, highlighting the need for unified action.
- The weaponization of technology through AI, cyberattacks, and autonomous weapons raises concerns about destabilization and ethical dilemmas.
- Global institutions like the UN and NATO are facing erosion, undermining their ability to mediate disputes and coordinate responses to crises.
- Populist movements fuel polarization and weaken international cooperation, posing challenges in addressing global threats like pandemics and terrorism.
- Steps to address these fears include strengthening diplomacy, prioritizing climate action, regulating technology, reforming institutions, and bridging divides through dialogue.
- The interconnected nature of these challenges requires collective action to avert conflict and chaos, emphasizing the importance of resilience and cooperation.
- Acknowledging and responding to these global challenges will determine whether humanity can overcome fear and shape a more secure future.
- Readers are encouraged to share their thoughts on the most concerning issue and propose solutions to address these complex global challenges.
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Medium
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AI Digital Twins: Preventing Bridge Collapses Through Predictive Infrastructure Monitoring
- AI-powered digital twins are revolutionizing bridge safety with real-time sensor data and predictive maintenance.
- The bridge collapse at Florida International University in 2018 highlighted the need for innovative solutions in infrastructure management.
- AI-based digital twins have the potential to transform how we manage and maintain bridges.
- These virtual replicas of physical structures enable real-time monitoring and predictive maintenance to prevent failures and extend lifespans.
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How I Consistently Earn $50 a Day in Bitcoin
- A system has been discovered that allows individuals to earn $50 a day in Bitcoin.
- The Set & Forget Done-For-You A.I. System enables users to earn free Bitcoin every hour without any special skills or initial investment.
- The system is perfect for those who find crypto trading overwhelming and offers a simple way to generate a consistent flow of Bitcoin.
- By following this system, individuals can work from home, earn additional income, and achieve financial stability.
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Medium
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Natural Language Processing with Deep Learning
- This article explains core NLP techniques using deep learning, including tokenization, embeddings, sequence modeling with RNNs, and transformers.
- Natural Language Processing involves teaching machines to understand language structure, capture meaning and context, and perform tasks like translation, sentiment analysis, summarization, etc.
- Deep learning enables machines to learn these tasks directly from data without manually designing rules.
- Key techniques in NLP with deep learning include tokenization, embeddings, sequence modeling with RNNs, and transformers.
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How I Earned $500 a Week Using AI Tools
- Embracing innovative solutions has allowed many individuals to enhance their lives and achieve financial goals.
- The New Year Bundle with 12 AI Applications enabled the author to earn approximately $500 weekly.
- Integrating the applications saved time and improved efficiency, enabling the author to create professional websites and engaging media.
- The bundle offers reseller and white-label licenses, making it possible to generate income by selling the tools.
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10 Innovative CNN Architectures That Go Beyond Image Classification
- CNN architectures beyond image classification are breaking boundaries and moving into new realms.
- These architectures can be understood by individuals with curiosity and technical intuition.
- Mask R-CNN is an architecture that goes beyond object detection by drawing pixel-perfect boundaries around objects.
- There are 10 CNN architectures that are redefining what's possible and showing up in unexpected places.
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Medium
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The AI Revolution in Gaming Graphics: Inside NVIDIA DLSS Technology
- DLSS (Deep Learning Super Sampling) is an AI-driven image upscaling technology created by NVIDIA.
- DLSS employs a neural network trained on high-resolution images to upscale lower-res frames to near-native or superior visual quality.
- DLSS 3.5, the most recent version, introduces Ray Reconstruction, which boosts image quality up to 4x over regular denoising techniques for real-time rendering.
- DLSS and other aspects of neural graphics transform rendering by reducing rendering overhead, improving image quality, and providing creative headroom for developers.
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Medium
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The Transformer Model for Mathematical Reasoning: A Code-Centric Exploration
- The provided code implements a Transformer model to tackle mathematical reasoning tasks, using the GSM8k dataset.
- The code defines a standard Transformer model, illustrating its architecture and application to grade school math problems.
- The code covers key components of the Transformer, including multi-head attention layers and positional encoding.
- The code suggests potential improvements such as using a subword tokenizer and experimenting with hyperparameters.
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