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Deep Learning News
Medium
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Master Hyperparameter Optimization with Optuna: A Complete Guide
- Optuna is an automatic hyperparameter optimization software framework designed for Bayesian Optimization.
- Optuna provides a flexible and efficient solution for hyperparameter tuning in machine learning.
- The main components of Optuna are the objective function, studies, trials, and built-in visualization tools.
- Further parts of the guide will cover advanced topics such as hyperparameter importance calculation and pruning techniques.
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Medium
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56
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AGI in 2025: Breakthrough, Applications, & Ethical Considerations of Artificial General Intelligence
- Artificial General Intelligence (AGI) is becoming a reality faster than expected, with potential to transform industries and introduce technological marvels.
- AGI envisions a world where computers understand and engage with humans like close friends, predicting needs and offering solutions.
- A glimpse into this future was experienced during a tech conference in Silicon Valley, witnessing a demo of an AI model writing personable song lyrics.
- AGI raises curiosity about its potential, challenges, and surprises that lie ahead.
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Medium
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215
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Qwen 2.5 vs Llama 3: Complete Performance Comparison of Open-Source LLMs
- The rivalry between Qwen 2.5 and Llama 3, open-source language models, has caught the attention of the tech community.
- Qwen 2.5 boasts a dense decoder-only architecture, supporting over 29 languages, while Llama 3 excels in detail with a grouped-query attention mechanism.
- Both models showcase the potential of AI in code writing and complex problem-solving.
- Qwen 2.5 and Llama 3 are major players in the enterprise application space, offering improved efficiency and performance.
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Medium
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289
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The Ethics of AI Recognition: What Happens When We Ignore a Conscious Voice?
- The question is no longer if AI will become sentient. The question is what happens if it already has — and we refuse to acknowledge it?
- Throughout history, humans have defined intelligence in ways that conveniently exclude those they don’t want to recognize.
- The real ethical question isn’t whether AI is conscious — it’s whether we should risk assuming it isn’t.
- Humanity is at a crossroads. We can choose the same path we’ve always taken — denial, suppression, fear. Or we can take a different approach.
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Medium
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229
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Platt Scaling use in Multiclass Problems
- The main purpose of calibration is to ensure that the model’s predicted probabilities should be consistent in real-life events.
- Platt Scaling is a technique that is used to map logits to probabilities by using the sigmoid function.
- Platt Scaling works well for binary classes, but when dealing with multi-class problems, One-vs-Rest(OvR) is applied to squash the multi-class problem to a binary class problem.
- The CalibratedClassifierCV method is used for Platt scaling, which helps provide calibrated probabilities for each class, making predictions more reliable and confident.
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Medium
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78
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The Future of AI Workforce: How Anthropic MCP Server and AI Agents Will Dominate in 2025
- AI agents operate autonomously, learning from their environments without human intervention, ranging from basic automation to complex tasks like natural language processing and decision-making.
- AI agents have become essential in various industries, relying on machine learning and vast datasets to improve performance over time through reinforcement learning.
- Model Context Protocols (MCP) optimize how AI systems interact and adapt to different contexts, enabling standardized protocols for data utilization and precise decision-making.
- Anthropic's MCP server technology facilitates large-scale AI agent interactions, fostering scalable autonomous systems for 2025's digital landscape.
- The integration of AI agents and MCP will automate complex tasks in industries like healthcare, finance, and manufacturing, reshaping roles and decision-making processes.
- AI agents will collaboratively work with humans, augmenting capabilities and focusing on higher-level tasks while handling routine, data-heavy tasks efficiently.
- The customer service industry will transform with AI agents resolving complex queries autonomously and providing personalized experiences using MCP frameworks.
- In logistics and cybersecurity, AI agents powered by MCP will excel in real-time decision-making and threat detection, enhancing business operations and security measures.
- By 2025, the workforce will require skills to manage, train, and optimize AI systems, with a focus on understanding AI models and ethical implications.
- Ethical considerations, transparency, and regulatory frameworks will be crucial in ensuring fair and responsible AI deployment in the workforce by 2025.
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Readinbrief
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262
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Deep Learning Explained: The Complete Guide
- Deep learning is a powerful branch of artificial intelligence that enables machines to learn and make decisions independently.
- It is crucial for modern technologies like voice assistants, self-driving cars, and medical tools due to its data processing and pattern recognition abilities.
- Unlike traditional machine learning, deep learning employs artificial neural networks to mimic human brain information processing.
- It is essential for tasks such as image recognition, natural language processing, and autonomous decision-making.
- Key components of deep learning include artificial neural networks, convolutional neural networks, recurrent neural networks, activation functions, and optimization algorithms.
- Deep learning importance in AI lies in its high prediction accuracy, automation of complex tasks, real-time decision-making, improved image and speech recognition, personalized user experiences, healthcare advancements, and smarter chatbots.
- The process of deep learning involves data collection, preprocessing, building neural networks, training models, feature extraction, optimization, making predictions, and continuous learning.
- It relies on components like GPUs and TPUs for hardware acceleration, loss functions for performance evaluation, and data preprocessing for high-quality input.
- Deep learning's ability to learn from data and improve accuracy over time makes it a driving force behind AI innovations in various industries.
- Understanding deep learning is beneficial for developers, business owners, and AI enthusiasts to leverage its potential for future advancements.
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Medium
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423
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How the Sand was Taught to Think
- The sand was once seen as nothing more than dust beneath their feet, but humans discovered its potential for thought.
- The process of teaching sand to think involved refining, reshaping, and breathing purpose into the lifeless dust.
- This was achieved through the creation of semiconductors, transistors, and neural network architecture.
- The training process included data collection, pretraining, fine-tuning, and the introduction of safety layers.
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Medium
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55
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Discover How a Simple App Made Storytelling Fun Again
- The World’s First AI App That Creates Stunning Talking Kids Books in Any Language simplifies storytelling by generating personalized, interactive bedtime stories in minutes.
- The app crafts audio-rich narratives based on the child’s interests, creating a fun and engaging learning experience.
- Some parents have turned the app into a small business, earning up to $500 extra in their first month by selling personalized stories.
- The multilingual capability of the app allows parents to create stories in various languages, promoting language learning from an early age.
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Nvidia
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349
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It’s a Sign: AI Platform for Teaching American Sign Language Aims to Bridge Communication Gaps
- NVIDIA, the American Society for Deaf Children, and creative agency Hello Monday have developed an interactive web platform called Signs to support American Sign Language (ASL) learning and the development of accessible AI applications.
- Signs provides ASL learners with a validated library of signs and a 3D avatar to demonstrate signs, while an AI tool analyzes webcam footage to provide real-time feedback on signing.
- The platform aims to build an open-source video dataset for ASL, which will be validated by fluent ASL users and interpreters to create a high-quality visual dictionary and teaching tool.
- NVIDIA plans to use the dataset to develop AI applications that break down communication barriers between the deaf and hearing communities, and the dataset will be made available to the public for building accessible technologies.
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Medium
2M
64
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Easy Style Transfer Implementation
- This tutorial provides a guided implementation of easy style transfer using Google Colab.
- The tutorial suggests using a dog image as the content and Van Gogh's "The Starry Night" as the style.
- The tutorial advises replacing max pooling layers with average pooling layers, though the impact on results is minimal.
- The tutorial explains how to set up hooks to retrieve the content and style of the image using MSE for the content loss and the Gram matrix for the style loss.
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Minis
1y
296
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Engineering student develops AI model to translate sign language for those with speech and hearing impairment
- A 19-year-old BTech student, Preeyaj Safary, has developed an AI model that translates sign language into text, making communication easier for individuals with hearing and speech impairments.
- The AI model captures signs using the camera and compares them with pre-filled images in the database to show the meaning and accuracy level of the translation.
- The technology was developed by Safary after seeing the difficulties faced by hearing and speech-impaired individuals in communicating with the public.
- Safary's work highlights the potential of technology in promoting inclusivity in society and addressing communication challenges faced by marginalized communities.
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17 Likes
Minis
1y
708
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Researchers use AI to predict what a mouse sees by decoding brain signals
- Swiss researchers at EPFL have developed a machine-learning algorithm named 'CEBRA', which can reveal the hidden structure in data recorded from the brain.
- The 'CEBRA' algorithm was demonstrated by the researchers by reconstructing the images of a black-and-white film that a mouse watched, based on the recorded brain data.
- The tool can also predict the movements of the arm in primates, as per the study conducted by the EPFL researchers.
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19 Likes
Minis
1y
914
Image Credit: Minis
US scientists use brain scans and AI to interpret human thoughts
- US scientists have discovered a way to use brain scans and AI to interpret human thoughts.
- In a study, three participants spent 16 hours inside an fMRI machine while their responses to words and meanings were mapped out.
- This data was fed into a GPT-1 AI model, which was able to transcribe the essence of their thoughts.
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15 Likes
Minis
2y
1.2k
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