Aneesh Tickoo is a consulting intern at MarktechPost. He is currently pursuing his undergraduate degree in Data Science and Artificial Intelligence from the Indian Institute of Technology(IIT), Bhilai. He spends most of his time working on projects aimed at harnessing the power of machine learning. His research interest is image processing and is passionate about building solutions around it. He loves to connect with people and collaborate on interesting projects.
Robots need to learn from experience to solve complex in real-world environments. Deep reinforcement learning has been the most common approach to robot learning...
The top-performing AI systems have deep neural networks at their core. For instance, Transformer-based language models like BERT are typically the foundation for natural...
Human brains can develop complex scenarios based on descriptions, be it verbal or written. Replicating this to produce visuals based on such descriptions can...
One of the most important and computationally demanding processes in machine learning is matrix multiplication. As a result, much research has been done on...
Reinforcement learning (RL) requires exploration of the environment. Exploration is even more critical when extrinsic incentives are few or difficult to obtain. Due to...
Deep learning models with billions of parameters are trained through gradient-based stochastic optimization, thanks to powerful algorithms, systems, and hardware advancements. These algorithms include...
Any machine learning algorithm's core component is data. The first need for successful outcomes is a decent dataset. At the moment, in-domain datasets are...
In our day-to-day life, humans make a lot of decisions. Flexibly applying prior experiences to a novel scenario is required for effective decision-making. One...
This Article is written as a summay by Marktechpost Staff based on the paper 'A federated graph neural network framework for privacy-preserving personalization'. All...
This Article is written as a summay by Marktechpost Staff based on the paper 'A Neural Network Solves, Explains, and
Generates University Math Problems by...
