EVOLUTIONARY ARTIFICIAL INTELLIGENCE DEVELOPMENT
Our Evolutionary AI Solutions: Evolutionary Computation, Deep Learning, Neuroevolution, Surrogate Optimization, Meta-learning, Trustworthy AI
Evolutionary Artificial Intelligence
Artificial Intelligence (AI) is a new technology that aims to mimic human reasoning in AI systems. We need to change our value propositions to focus on process optimization for clients. To do so, we're investing more in machine learning, AI, and deep learning capabilities, and I believe we're far ahead of the curve in terms of integrating them into our operations. Scaling the business models is the ultimate step. In industrial ecosystems that embrace the logic of digital servitization, the spread of artificial intelligence (AI) technology holds the promise of enabling fundamental transformations in products, services, innovation processes, business models, and the very character of corporate operations. The use of digital technologies such as sensors, connectivity, and analytics to generate new value-creating and revenue-generating opportunities is known as digitalization. It is a procedure that has a significant impact on the manufacturing industry. AI is the engine that propels digitalization, and businesses that can successfully integrate AI skills into their business models will thrive in the future. Every company in today's world is working on AI-driven change in some way.
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Features of Evolutionary Artificial Intelligence
Advantages of Evolutionary AI
Assisting in Repetitive Tasks
We will be doing a lot of repetitive labour in our day-to-day work, such as writing thank-you emails, double-checking documents for flaws, and so on. We can use artificial intelligence to efficiently automate these monotonous chores and even remove “boring” duties from humans' schedules, allowing them to be more creative.
Technologies
Evolutionary Computation
In contrast to deep learning, which focuses on modeling known behaviors, Evolutionary Computation creates new solutions, by reassembling, transforming, and transforming the population over and over again. Our latest research includes finding design strategies in architecture, business, and sports, encouraging AI to find creative and novel solutions, using multiple purposes, and creating AI that can explain its decisions in terms of rules.
Deep Learning
Deep learning is another foundation for AI research with the Evolutionary AI team. The main focus of our recent research is to improve deep learning of operational properties and cost calculations, using multiple data sets by learning multiple functions and finding useful neural network building blocks.
Neuroevolution
Neuroevolution is a powerful way of combining evolution with deep learning: evolution is used to automatically develop deeper learning structures, namely topology, components, parameters, and weight limits of sensory networks. To put it another way, AI designs AI. Our latest work focuses on neural architecture research, improving the state of the art in several machine learning benchmarks.
Surrogate Optimization
The idea is to start building a domain model by e.g. In-depth Learning, then use the model as a substitute to improve interaction using Evolutionary Computation. We have used this development method e.g. agricultural growth recipes, animal behavior agents, and non-pharmacological interventions in the COVID-19 epidemic. In this way, it is possible to get smart and effective decision-making strategies safely and effectively.
Metalearning
Modern models of deep learning have many features that need to be adjusted by hand, a tedious process that requires specialized technology. Metalearning is a family of strategies that allow for structures, loss functions, hyperparameters, opening functions, and other automated functions, leading to more efficient models.
Trustworthy AI
To trust the predictions and instructions of the AI system, it needs to show how certain it is, it needs to allow testing of other solutions, and in some cases, it needs to explain its behavior with clear rules. The LEAF platform incorporates technologies developed specifically for these three principles.