Education Blog - Engineering | Technical | How to | Arya College

  The rise of autonomous systems is a significant trend in the field of automation, with the potential to transform various industries and improve our lives. Autonomous systems are made possible through the integration of artificial intelligence (AI) and robotics, with AI allowing the system to make decisions and adapt to changing circumstances, and robotics providing the physical mechanism for the system to interact with the environment. The potential applications of autonomous systems are expanding, with self-driving cars and drones being developed to improve safety, reduce traffic congestion, & increase efficiency in transportation. In manufacturing, robots are being used to assemble products, perform quality control, and handle materials with precision and speed. In healthcare, robots are being used to assist with surgeries, provide physical therapy, & aid in patient care. Additionally, autonomous systems are being used in agriculture to improve crop yields and reduce wast

  Deep learning speechsynthesis:-Application of deep learning models to generate natural-sounding human speech from text Key Techniques:-Utilizesdeep neural networks (DNN) trained with a large amount of recorded speech and text data BreakthroughModels:-WaveNet by DeepMind, char2wav by Mila, Tacotron , and Tacotron2 by Google, VoiceLoop by Facebook AcousticFeatures:-Typically use spectrograms or mel-spectrograms for modeling raw audio waveforms Speech recognition is afield that involves converting spoken language into written text, enabling various applications such as voice assistants, dictation systems, and machine translation . Deep learning has significantly contributed to theadvancement of speech recognition, offering various architectures and techniques to improve accuracy and robustness. Deep learning architectures for speech recognition include Recurrent Neural Networks (RNNs), Convolutional Neural Networks (CNNs), and Transformers. RNNs are particularly suited for speech reco

  The best free resources to learn Data Scienceand Data Analysis include a variety of platforms and courses that offer comprehensive learning materials and practical exercises. Here are some notable free resources from the provided sources: 1. FreeCode Camp: This online learning platform offers free lessons on statistics for Data Science, computer science concepts, Python fundamentals, Pandas, Python Matplotlib, and provides a guide to building a good Data Science portfolio. 2. Khan Academy: Known for its free lessons, Khan Academy explains various Data Science concepts such as SQL, data analysis, finding patterns in datasets, statistics, and probability, accompanied by practice sets to test knowledge. 3. Google Cloud: Google Cloud provides a free Machine Learning crash course with video lectures, practice exercises, and case studies for learners, allowing customization in the learning experience through consolidated videos, tutorials, sample codes, cou

  ChatGPT is an AI-powered conversational agent developed byOpenAI that has gained immense popularity due to its ability to generate human-like text responses. Its deeplearning and natural language processing capabilities enable it to understand and analyze the context of a query, providing tailored responses that make it a valuable tool for businesses and organizations. ChatGPT has revolutionized customer service & support, making it more efficient, effective, and personalized. It has also been integrated into various industries, including digital marketing, where it helps generate high-quality, personalized content, and supports digital marketers in their operations. However, the rise of ChatGPT has also sparked debates aboutits role in the digital landscape. Critics have raised concerns about privacy, job loss, and the reliability of its responses. To mitigate these issues, businesses must adhere to data protection regulations, ensure accuracy and reliability in ChatGPT'