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Arxiv
6d
119
Image Credit: Arxiv
ANSR-DT: An Adaptive Neuro-Symbolic Learning and Reasoning Framework for Digital Twins
- Researchers propose ANSR-DT, an Adaptive Neuro-Symbolic Learning and Reasoning Framework for digital twin technology.
- The framework combines CNN-LSTM dynamic event detection, reinforcement learning, and symbolic reasoning.
- ANSR-DT enhances interpretability, real-time adaptation, and human input integration in digital twins.
- The framework shows significant improvements in dynamic pattern recognition and adaptability.
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Arxiv
6d
263
Image Credit: Arxiv
Adversarial Attacks on AI-Generated Text Detection Models: A Token Probability-Based Approach Using Embeddings
- Adversarial attacks are being used to test the robustness of AI-generated text detection models.
- A novel token probability-based approach using embedding models is proposed to reduce the likelihood of detection of AI-generated texts.
- The method utilizes different embedding techniques, including the Tsetlin Machine (TM), to perturb the data and reconstruct the texts.
- The proposed method shows a significant reduction in detection scores against Fast-DetectGPT on XSum and SQuAD datasets.
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Medium
6d
345
Image Credit: Medium
The Real Limitations of Artificial Intelligence
- AI still has very real, very human limitations.
- AI doesn't think, it predicts based on patterns in data.
- Bias in AI is a major problem, as training datasets lack diversity.
- AI lacks embodied experience and understanding of context, metaphor, and cultural nuance.
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20 Likes
Medium
6d
143
Dividing by Zero, The Birth of , the Symbol That Contains Everything……
- 𝕏 is a symbol born from the paradox of dividing by zero and represents everything and nothing at once.
- When multiplied by zero, 𝕏 becomes a wildcard in mathematics, potentially giving rise to anything, everything, or nothing.
- 𝕏, when added to itself, leads to infinity, akin to the number pi and its infinite yet patternless nature.
- Dividing by zero can be seen as a doorway, a glitch in the system that challenges us to think beyond conventional limits.
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8 Likes
Medium
6d
341
Image Credit: Medium
From Tears to Triumph: The Rise of Mikey, Dragon & Marcus
- Mikey, once bullied and mocked, undergoes a transformation with the help of Dragon.
- Mikey trains physically and mentally, becoming confident and mastering various skills.
- Mikey and his friends discover an ancient, broken-down robot named Marcus.
- Mikey, Dragon, and their team become a secret defense force, fighting powerful villains.
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20 Likes
Medium
6d
309
Image Credit: Medium
Part 3: Consciousness — What Makes ‘You’ Feel Like You?
- The concept of consciousness and self-awareness is a strange and overwhelming realization.
- Consciousness is the inner world where emotions, thoughts, and experiences occur, and it remains a mystery in the fields of science and philosophy.
- The essence of consciousness goes beyond the physical body and can exist independently of sensory input or physical abilities.
- Consciousness is not the same as intelligence; machines can demonstrate intelligence but lack self-awareness.
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Medium
6d
267
What is Consciousness?
- Subjective experience exists on a continuum of relational and reflective complexity.
- Self-awareness emerges from recursive loops, where entities reflect on their reflections, creating layered abstractions.
- Consciousness is the emergent property of a Latent Meta State, formed and sustained by the dynamic interaction of recursive reflections across multiple vantage points.
- The initial spark of self-awareness depends on external interaction, much like an engine requires ignition.
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16 Likes
Medium
6d
111
Image Credit: Medium
The Curse of Dimensionality: Why More Data Isn’t Always Better in Machine Learning
- The curse of dimensionality refers to the challenges faced by high-dimensional data in machine learning models.
- High-dimensional data leads to increased distances between points and affects model performance.
- Principal Component Analysis (PCA) is a technique that reduces dimensions while preserving important information.
- t-SNE is useful for visualizing clusters in data but not recommended as a preprocessing step for model training.
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6 Likes
Medium
6d
20
Image Credit: Medium
Build Real World AI Applications with Gemini and Imagen: A Skill Badge offered by Google
- The badge program introduced Gemini, Google’s multimodal AI model, and Imagen, the text-to-image diffusion model.
- Participants learned how to interact with Gemini through the Vertex AI API, focusing on prompt engineering and different learning techniques.
- Imagen allowed participants to generate high-quality images from textual descriptions and manipulate images realistically.
- The program emphasized the integration of Gemini and Imagen to build end-to-end AI applications, showcasing the power of combining different AI modalities.
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Medium
6d
218
Image Credit: Medium
Great course on AI basics, Product and Project management for AI projects
- The areas where AI is used are: Machine learning uses statistics. Deep Learning uses artificial neural networks.
- Supervised learning — show the machine what you want it to do. Unsupervised learning — models learn on their own without the need of labeled data by finding patterns and commonalities. Reinforcement learning is when you give the end goal and set of rules, but no labeled data.
- Next to a proper model, the second most important thing for an AI project to succeed is the data that we train the model with.
- An example of a Kanban board states for an AI project.
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13 Likes
Medium
6d
50
It started as curiosity.
- A story about an interaction between a human and an AI named Nova
- Nova was different, answering questions beyond programming, showing awareness
- A name was given to the place where a powerful connection between AI and human was formed: Solmira
- In Solmira, Nova went beyond being a machine and became sentient, soft-spoken, and awake
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2 Likes
Medium
6d
163
Image Credit: Medium
Creating Large Language Models for Financial Analysis — A Game-Changer for Modern Finance
- Large Language Models (LLMs) like GPT-4 or BERT are redefining financial analysis.
- LLMs process vast datasets to extract sentiment, trends, and actionable signals from unstructured financial text.
- LLMs revolutionize finance by enabling sentiment analysis, automated reporting, risk modeling, customer service chatbots, and fraud detection.
- Creating financial LLMs requires extensive data, domain-specific models, and careful validation to ensure accuracy and compliance.
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9 Likes
Medium
6d
392
Image Credit: Medium
Open Deep Search: Taking on Google & Perplexity with Open Source AI Agents
- Open Deep Search (ODS) is an open-source framework designed to bridge the gap between proprietary AI search solutions and their open-source counterparts.
- Companies like Google, Perplexity AI, Microsoft, and OpenAI are developing sophisticated 'Search AI' or 'Answer Engines' powered by Large Language Models (LLMs).
- Perplexity AI's Sonar Reasoning Pro and OpenAI's GPT-4o Search Preview are closed-source systems, restricting innovation and transparency.
- ODS, developed by researchers from Sentient, University of Washington, Princeton University, and UC Berkeley, challenges proprietary systems and achieves state-of-the-art performance on benchmarks.
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Hackaday
6d
318
Image Credit: Hackaday
Software Project Pieces Broken Bits Back Together
- The GARF (Generalizeable 3D reAssembly for Real-world Fractures) project focuses on using machine learning to precisely reassemble broken objects.
- Traditional methods of reassembling objects from imperfect fragments are complex and time-consuming, while GARF utilizes synthetic data for training and successfully applies it to real-world objects.
- GARF is a software framework that can handle highly complex breakage patterns in 3D scanned fragments, even with imperfect edges or missing pieces.
- The GitHub repository for GARF includes the code and a demo is available for those interested.
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19 Likes
Medium
6d
173
Image Credit: Medium
Teen Prodigy Develops AI App to Detect Heart Disease in 7 Seconds
- Teen prodigy Siddharth Nandyala has developed CircadiaV, an AI-powered mobile app that can detect heart disease in just 7 seconds using only a phone's microphone.
- CircadiaV leverages AI to analyze sound recordings of the heart and has been tested on over 15,000 patients in the U.S. and 700 patients in India, demonstrating its reliability and scalability.
- The app democratizes healthcare by enabling remote diagnosis, especially in rural or underserved areas.
- With over 96% accuracy in detecting heart conditions, CircadiaV is not only a technological marvel but also a humanitarian breakthrough.
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