In practical engineering scenarios like predictive maintenance or real-time monitoring, the sequence of events or sensor readings can be critical. With the introduction of positional encodings, our Transformer
With the substantial increase in AI deployment and IoT in the energy industry and smart grid infrastructure control, cyber-attacks have been studied, and solutions to prevent these attacks are increasing fast (Sani et al., 2019). These attacks destroy the infrastructure and increase climate concerns...
- Analyze and optimize accuracy and performance issues during model training and deployment. Requirements: - Proficient in PyTorch and familiar with common distributed machine learning frameworks such as Megatron-LM and DeepSpeed. - Familiar with mainstream LLM inference engines, such as FasterTransformer/...
Code from scratch with real-world datasets, projects, and case studies. Step-by-step breakdown of each algorithm, ensuring in-depth understanding. Focus on ML Engineering & AI Deployment using Django & Streamlit. Industry-relevant projects to build a strong AI portfolio. 📌 Subscribe on YouTube...
What are the key challenges associated with gas leakage detection and classification in diverse environments, such as industrial, residential, and mining scenarios? 3. How does the integration of machine learning algorithms and explainable artificial intelligence (XAI) techniques improve the interpretability...
which reflects the real-time condition where energy prices fluctuate with demand. On the other hand, UP charges consumers based on energy use regardless of time. Utilizing these price policies in the energy cost prediction framework makes it adaptable to various market scenarios. It allows the sta...
For the first time, Monet validates that multichannel processing properties can be optically implemented with high-efficiency, enabling real-world intelligent multichannel-processing tasks solved via optical computing, including 3D/motion detections. Extensive experiments on different scenarios demonstrate the ...
While there are many open-source datasets, such as the ASL (American Sign Language) dataset and the Hand Gestures dataset, most of the images are too preprocessed and cleaned to represent real-world scenarios. To build this project, you must collect your own dataset and annotate it. Data ...
And for some of those techniques, classic machine vision is still the right way to do it. But where the deep learning changes things is that it can cope with different ways of teaching it to start with, and then it can cope with different scenarios far better. But...
An agent is trained by interacting with the environment, which can have multiple states (i.e., scenarios). The agent will select an action for a given state and will receive either a positive or a negative (i.e., penalise) reward. The agent will continue taking actions for each of the...