A naukri.com initiative
ML News
Medium
4h
234
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.
Read Full Article
14 Likes
Medium
5h
44
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.
Read Full Article
2 Likes
Medium
3h
258
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.
Read Full Article
15 Likes
Medium
8h
764
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.
Read Full Article
5 Likes
Medium
8h
60
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.
Read Full Article
3 Likes
Medium
8h
223
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.
Read Full Article
13 Likes
Medium
11h
57
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.
Read Full Article
3 Likes
Medium
15h
357
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.
Read Full Article
21 Likes
Medium
15h
18
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.
Read Full Article
1 Like
Medium
16h
36
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.
Read Full Article
2 Likes
Medium
16h
274
Image Credit: Medium
Dissecting the Digital Mind: Unveiling the ‘Biology’ of Large Language Models Through Attribution…
- The burgeoning field of Mechanistic Interpretability aims to reverse-engineer neural networks to understand their internal computations and algorithms.
- A new approach, detailed in the paper 'On the Biology of a Large Language Model', treats large language models (LLMs) like complex biological organisms.
- Researchers are dissecting the internal 'anatomy' of LLMs and tracing information flow to uncover the hidden logic within these digital minds.
- Techniques like Attribution Graphs allow mapping the functional circuits within LLMs, revealing valuable insights.
Read Full Article
16 Likes
Medium
17h
191
Image Credit: Medium
Building a Neural Network from Scratch Using Only NumPy
- Our simple neural network addresses a binary classification problem.
- The architecture comprises three main components: activation functions, forward propagation, and backward propagation.
- Training the network involves initializing parameters, performing forward and backward propagation, and updating the weights and biases.
- The network can make predictions after training, and visualization helps in understanding the learning progress.
Read Full Article
11 Likes
Medium
17h
77
Image Credit: Medium
The World’s First & Only A.I. Viral Video Quiz Builder App For Marketers!
- The World’s First & Only A.I. Viral Video Quiz Builder App For Marketers!
- 1M views on a DOG CARE quiz
- 3.6M views on a GK quiz
- 4.5M views on a MOVIE quiz
Read Full Article
4 Likes
Medium
19h
74
Image Credit: Medium
Decision Trees in Machine Learning: A Simple Guide
- A Decision Tree is a way for the computer to make choices and sort things into groups.
- It asks yes-or-no questions about the data and follows a path to make a guess.
- The computer builds a Decision Tree by finding the best questions to ask.
- Step 1: Start with All the Data and sort them into 'Coming' or 'Not Coming' groups.
Read Full Article
4 Likes
Medium
19h
136
Image Credit: Medium
Emerging Technologies in 2025: Shaping the Future
- Advancements in artificial intelligence (AI) and machine learning (ML), in 2025, have led to more sophisticated technologies with improved algorithms capable of complex tasks and accurate decision-making. AI is now integral to various industries, including healthcare, finance, and retail.
- In healthcare, AI and ML are revolutionizing diagnostics and personalized medicine by analyzing vast amounts of medical data to identify patterns, predict diseases, and provide personalized treatment plans.
- In finance, AI is enhancing fraud detection, risk management, and customer service, allowing financial institutions to automate processes, reduce costs, and offer more personalized financial advice.
- In the retail sector, AI-powered chatbots and recommendation systems are improving customer experiences, boosting sales, and optimizing inventory management. Additionally, the Internet of Things (IoT) is playing a crucial role in the development of smart cities, with IoT devices and sensors being utilized to optimize urban infrastructure.
Read Full Article
8 Likes
For uninterrupted reading, download the app