Transform your business
with expert consulting services
Vega Research Laboratories provides consulting services for companies willing to increase the value of their data through the application of artificial intelligence and related technologies.
Our team has decades of experience in applying these technologies to real world problems in several areas, ranging from factory automation to biomedical data analysis, to image understanding, to gas sensing and classification, to ambient-assisted living, to short-term road traffic forecasts and many Others.
Strategy and Growth Solutions for Business
Driven AI Solution
Most Popular Use Cases
One of the most essential tools which helps the advancement of scientific computing is High-Performance Computing (HPC). To solve complex problems and increase accuracy, researchers are combining traditional simulations with artificial intelligence, machine learning, big data analytics, and edge computing, whether they are dealing with weather forecasts, energy exploration, or life sciences.
Machine Learning
A branch of artificial intelligence (AI) and computer science, machine learning (ML) consists of algorithms and data that enable AI to emulate humans’ learning process and improve over time.
Deep Learning
In Artificial Intelligence (AI), deep learning is a subset of machine learning that uses multi-layered neural networks to simulate complex decision-making power that is inherent in the human brain.
Neural Network
Neural networks utilize processes that mimic how biological neurons work together, identifying phenomena, weighing options, and coming to conclusions, much like human brains.
Machine Learning vs Deep Learning vs Neural network
Deep learning and machine learning are sub-fields of artificial intelligence. Neural networks are a sub-field of machine learning and deep learning is a sub-field of neural network.
- Deep learning algorithms can learn from labeled or unlabeled datasets, machine learning that relies on human intervention.
- Neural networks consist of node layers with input, hidden, and output layers.
- The term “deep” in deep learning refers to the number of layers in a neural network.
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shaping tomorrow’s intelligence
VRLabs provides tools, software resources, methodologies and skills to build together with customers “intelligent” and customized solutions especially in the healthcare, life-science, industrial production, logistic and public sectors. Thus for example driving the optimization of management of warehouses, of the intelligent city and of systems for assisting and monitoring fragile or sick people.