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Area of Expertise

Interdisciplinary Research

Are you dealing with contemporary challenges that are inherently complex and cannot be addressed or resolved by any single discipline? Are you aiming to have such scalable solutions that can integrate different disciplines? Do you face modern difficulties that are intrinsically multidimensional and cannot be tackled or overcome by a single approach? Then you are at the right place. Experts at Neurog provide you multifaceted and integrated approaches that will help you to achieve improved results. That creates a powerful experience and emphasizes integrative learning, critical thinking, and creative problem solving. Moreover, our experts provide you with a synthesis of ideas and synthesis of characteristics from many disciplines. Our professionals in the areas of AI and machine learning try to blend different disciplines with product development and research capabilities to provide cost – effective solutions from every viewpoint. Our experts’ tries to discover the value of integrating disciplines suited to life-long interests by providing creative solutions to some of today’s most challenging problems.

Deep Reinforcement Learning

Do you want to generate and learn knowledge from raw inputs, with no hand-engineered features or domain heuristics? Do you want to know how DRL fits under the umbrella of ML, and to solve real world problems through smart trial and error interactions? Do you want to deal with cognitive activities that are needed to make value judgement to select good actions over bad? Do you want to unlock the power of influential computational theories? If so, then instigating the comparable choices of DRL is beneficial to deal with such challenges because humans thrive at a wide range of difficult challenges, from low-level motor control to high-level cognitive activities. At Neurog we aim to construct such products with comparable levels of performance and generality. Moreover, at Neurog, we have pioneered the combination of these approaches to create the products that achieve human-level performance across many challenging domains. To democratize so that more people across industries can use the power of DRL to solve business and social challenges, our experts continue to use such comparable activities to make a positive impact on society. Despite the overall change in approach toward self-learning systems, we have the expertise in selecting such modeling choices which gives good performance.

Natural Language Processing

Overwhelmed by massive amounts of data? Have something to say? Software is listening to you. Through AI-driven NLP services, we’ve made revolutionary progress in interpreting human languages and behavior. Devise the most robust algorithms to understand human language, in any format. Use the latest NLP technology that enables human-to-machine communications, utilizing big textual data, powerful computing and advanced algorithms. Apply NLP to understand document context and utilize all capabilities of machine learning to streamline your business processes. Analyze free-form text, glean insights hidden in words, or classify and tag documents in seconds. Enhance your applications to deliver intelligent natural language handling capabilities, understand voice commands and derive sentiments. In fact Neurog helps not only to consult you with the best NLP services but also help develop the best solution to derive results. We provide you with an opportunity to analyze and process unstructured data in real-time. Our fundamental aim relies on various text and data analysis tools to simplify human-machine interactions and enable businesses to deliver next-generation digital experiences that are contextually relevant, highly interactive, and refreshingly human.

Visual Features Engineering

Want to know how you can improve the accuracy of your ML models? What about how to find which pixels make the most useful features? Do you have any difficulty in finding inconsistencies in data? Are you having trouble creating new features by combining existing ones? If the answer to these questions is yes then experts at Neurog are there to help you to create such models which enable you to achieve good performance with the best possible features that are needed. Despite being in its nascent stages, feature engineering has immense usefulness for data scientists to prepare data in a hassle-free and accelerated manner. We at Neurog provide you with the best-automated feature engineering techniques to deal with your visual analyses for building effective machine learning models because these engineered and carefully chosen features improve the efficiency of the training process, which aims to extract the relevant information from the data. They also increase the capability of these models to effectively identify input data and predict outcomes of interest.

Predictive Analytics

Are you tired of taking time-consuming yet instinct-based decisions? Are you looking to improve your decision-making process? If yes, implementing the right data analytics mechanism will help. We at Neurog can help you bring a suitable data analytics mechanism to reality. Get the most out of your data: identify underlying patterns not visible to the human eye by leveraging neural networks to solve prediction and classification problems. Design, build, train and deploy machine learning and deep learning models in order to predict or classify key metrics by bringing more preciseness in your ideas with data analytics. Make smarter and better decisions and boost your business performance by using predictive models Leverage valuable data, statistical algorithms and various machine learning and AI tools to identify key possibilities of future outcomes. Moreover, Neurog provides predictive analytics based solutions to discover problems and potential by looking for trends in data.

Mathematical Modelling

Are you excited to apply wonderful mathematical modeling approaches to your ML/AI ideas that create too much hype? To answer this, we at Neurog enable models that are developed to generalize better to new incoming data than traditional methods. Modeling approaches are commonly employed in issue solving. The utility of this methodology stems from its capacity to convert a conceptual, mathematical, or analytical model into a computer simulation model capable of testing hypotheses, collecting data, analyzing drivers, and generating emergent patterns. At Neurog we employ hybrid approaches that combine a range of analytical, mathematical, computational, and simulation techniques to investigate problems.