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Arxiv
1d
139
Image Credit: Arxiv
Hybrid Action Based Reinforcement Learning for Multi-Objective Compatible Autonomous Driving
- Reinforcement Learning (RL) has shown excellent performance in solving decision-making and control problems of autonomous driving.
- However, current RL methods face challenges in achieving multi-objective compatibility for autonomous driving.
- To address this, a Multi-objective Ensemble-Critic RL method with Hybrid Parametrized Action is proposed.
- Experimental results demonstrate that the method improves driving efficiency, action consistency, and safety while increasing training efficiency.
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Medium
2d
288
Image Credit: Medium
The Mathematics of How Our Minds Change
- Our beliefs evolve through a messy process of filtering information and weighing new evidence.
- Bayes' Theorem provides a logical explanation for why repeated exposure to new evidence and social reinforcement can change our beliefs over time.
- Bayes' Theorem shows how prior beliefs about an event should change in light of new evidence.
- Changing minds is usually a gradual process that requires systematic updating of beliefs with each new piece of credible evidence.
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17 Likes
Medium
2d
112
Image Credit: Medium
Breaking the Data Silo Barrier: Building a Unified MCP Text-to-SQL Server with Denodo
- The Model Context Protocol (MCP) aims to facilitate LLM application development and address data silos.
- MCP helps integrate numerous data sources across databases, data lakes, and warehouses.
- It simplifies authentication by using a single server for multiple data sources.
- MCP's client/server architecture and JSON-RPC 2.0 enable bidirectional communication.
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6 Likes
Medium
2d
179
Image Credit: Medium
The Self-Attention Revolution in AI
- The attention mechanism has reshaped the world of Artificial Intelligence.
- Attention is a paradigm shift in how machines process information, moving closer to human cognition.
- Self-attention is a key component of the Transformer architecture in AI models like BERT, GPT, and AlphaFold.
- Self-attention allows the model to weigh the importance of different elements within the same sequence.
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Medium
2d
319
Image Credit: Medium
Machine Translation Tool Evaluation
- Machine Translation (MT) tools like Google Translate sometimes make mistakes, especially with complex languages like Hindi.
- The translated sentence, "Ram left Sita in the forest," is generally correct but misses several important details from the original Hindi sentence.
- Machine translation still needs to improve, especially for Indian languages.
- This shows that machine translation has trouble with languages with rich grammar and cultural meanings, such as Hindi.
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19 Likes
Medium
2d
304
Image Credit: Medium
A practical look at Gradient Instability and how to fix it using PyTorch
- The article discusses the problem of gradient instability in PyTorch and provides a solution to fix it.
- The issue arises when the input features are out of scale, causing one feature to have a more dominant effect on the prediction than others.
- One solution is to increase the number of iterations in the training loop, but it may take more time to converge to an optimum minima.
- A recommended approach is to normalize the input features using min-max normalization, which scales the features within a comparable range and ensures smoother convergence.
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18 Likes
Medium
2d
270
Image Credit: Medium
Your Guide to the AI Shaping 2025 and Beyond
- AI is becoming more powerful and accessible to everyone.
- AI advancements are already influencing our daily lives.
- AI models are becoming more multi-talented and can integrate information from different domains.
- AI is unleashing creativity by generating realistic images, music, and creative content.
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16 Likes
Medium
2d
50
Image Credit: Medium
The Glossary of AI: Simple Explanations for Complex Stuff
- AI is a field of computer science focusing on tasks requiring human intelligence.
- Examples include chatbots, recommendation systems, and text-based adventure games.
- AI safety involves ensuring systems align with human values and intentions.
- Guardrails and feedback loops help improve AI trust but can slow development.
- Interacting apps with AI services through APIs enables software communication.
- Attention mechanisms in neural networks help focus on relevant inputs.
- Continual learning can lead to forgetting previously acquired knowledge.
- Encouraging models to explain steps aids understanding complex problems.
- Bias in AI can arise from skewed training data and lead to unfair results.
- Tokenization helps tokenize words, aiding in processing rare or unknown terms.
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3 Likes
Medium
2d
3.8k
Image Credit: Medium
Enterprise RAG: Why It’s More Than Just Scaled-Up AI Retrieval
- Enterprise RAG is a highly specialized, production-grade system designed to meet the complexity, sensitivity, and scale demands of modern organizations.
- Enterprise RAG must navigate a sprawling ecosystem of information sources, requiring robust data connectors and flexible ingestion pipelines.
- Enterprise RAG operates at a large scale, handling potentially millions of documents and thousands of concurrent users.
- To meet the demands of enterprise environments, RAG requires advanced caching, workload management, and distributed computing capabilities.
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16 Likes
Medium
2d
66
Image Credit: Medium
Linear Algebra (Part 1): The math behind AI’s vector embeddings, similarity search, and much more
- Vectors, which have both magnitude and direction, play a crucial role in AI applications.
- Embeddings represent data as vectors and are used for tasks like similarity search and ranking.
- Generative AI utilizes vector spaces to group similar items and order them based on relevance.
- Further articles in this series will cover matrices, eigenvalues, and eigenvectors in linear algebra.
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4 Likes
Medium
2d
247
Image Credit: Medium
Integrating ML model in React js
- TensorFlow Lite is a streamlined version of TensorFlow, designed for mobile and embedded devices.
- This tutorial shows how to create a React/Next.js app that can interact with a TensorFlow Lite model to auto-capture passport images directly in the browser.
- The setup involves creating custom hooks to load the TFLite model and handle the video feed from the user's device.
- Helper methods are provided to process frames from the video feed, draw bounding boxes, capture and crop the passport images.
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14 Likes
Medium
2d
63
Image Credit: Medium
Qwen2.5-Omni: The Multimodal AI Revolution That’s Changing Human-Machine Interaction Forever
- Qwen2.5-Omni is an AI model that excels in real-time text, audio, and video processing.
- Industries are adopting Qwen2.5-Omni for various applications, such as telehealth diagnostics and interactive learning.
- Qwen2.5-Omni's unique approach of splitting tasks enables zero lag in live interactions, making it ideal for customer service bots or VR avatars.
- The model's 7B parameters do not compromise its performance, proving that smarter architecture is more important than brute-force scaling.
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3 Likes
Medium
2d
387
The Future of AI & Robotics: Can Machines Truly Understand Emotions?
- The future of AI and robotics is promising, with advancements in data collection and AI models allowing machines to process vast amounts of information and understand human behavior, emotions, and expressions.
- While AI and robots do not possess actual feelings, they can analyze and interpret human emotions through data, enabling them to predict actions and mimic empathy.
- Data collection plays a crucial role in improving AI capabilities, especially in areas like natural language processing and computer vision, allowing for better understanding of human behavior.
- AI models like ChatGPT and Gemini are already impacting various sectors by processing data to recognize patterns and predict human behavior accurately.
- Although robots may not experience emotions, they can simulate empathy by analyzing data and responding to human cues, raising ethical concerns about data privacy and AI's emotional understanding.
- The concept of creating human-like robots capable of understanding and mimicking emotions is intriguing, raising debates about the role of AI in emotional intelligence and ethical considerations.
- Data chips storing emotional data could enable robots to provide personalized care for the elderly, assist in surgery, manage disasters, offer companionship, and collaborate with humans in various industries.
- Human-robot teams could work together to enhance efficiency, creativity, and innovation in sectors like healthcare, agriculture, and disaster management, improving overall human well-being.
- As AI-powered robots become more integrated into society, addressing ethical concerns, data privacy, and ensuring their beneficial use will be crucial for creating a harmonious interaction between humans and machines.
- The future holds the potential for human-like robots to enhance human life, providing companionship, support, and assistance while allowing individuals to focus on more creative and strategic endeavors.
- Ultimately, the collaborative relationship between humans and robots, driven by AI and data science, can lead to a more interconnected, empathetic, and efficient world, where robots serve as allies in improving the quality of life.
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23 Likes
Medium
2d
19
Image Credit: Medium
Wan 2.1 Unveiled: The Open-Source Powerhouse Challenging Giants in AI Video Generation
- Wan 2.1 is an open-source video foundation model developed by the Wan Team at Alibaba Group.
- It offers state-of-the-art performance, efficiency, and a versatile range of capabilities for video generation.
- Wan 2.1 aims to bridge the gap between proprietary systems and tools available to the open-source community.
- This open initiative is changing the game in AI-driven video generation.
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1 Like
Medium
2d
39
Haemoglobin readily (5) combines with oxygen to form bright red (Oxyhemoglobin.
- Haemoglobin readily combines with oxygen to form bright red Oxyhemoglobin.
- Carbonic anhydrase enzyme present in RBC facilitates this activity.
- Haemoglobin acts as an efficient oxygen carrier.
- Factors affecting the binding capacity of Haemoglobin include carbon dioxide binding capacity.
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