DOMAINS
- Prior to getting on the path to Artificial Intelligence (AI), and even currently, Silicon Interfaces Data Scientists undertook and undertakes exercises using Regressions (Linear and non-Linear), Statistical Models, Estimation and Predictive Analysis to predict Customer behavior to optimize business processes.
- At Silicon Interfaces, AI is automation in making logical decisions, to control conditional logic and identifying patterns and encompasses a wide variety and the use of these technologies, including neural networks, machine learning and deep learning.
- At the core, machine learning uses machine learning algorithms (like decision tree), which may be Supervised, Unsupervised, Semi-supervised and Reinforcement learning, trained on data sets (labeled, unlabeled, or mixed data) to create machine learning models that allow computer systems to perform, like humans.
- The comparison between human cerebral nervous system (CNS) and artificial neural network (ANN) is the fundamental thinking behind all solutions proposed by Silicon Interfaces using AI.
- Silicon Interfaces proficiencies in these domains extends through the complete modeling process.
- The model building to predict outputs based on input data through the forward propagation with hyper parameters, like weights and biases, and use of activations functions, like ReLU, Sigmoid as well as Loss Functions (like Binary Cross-Entropyor for Regressions mean-squared error (MSE)) is deterministic to the network architecture, be in Binary Classified or Categorical Classified
- Regenerative AI sometimes called gen AI, is artificial intelligence (AI) that can create original content-such as text, images, video, audio or software code-in response to a user's prompt or request.
- The application of AI/ML Services has resulted in savings of time for the Financial, Retail and Semiconductor Industry
- Prior to getting on the path to Artificial Intelligence (AI), and even currently, Silicon Interfaces Data Scientists undertook and undertakes exercises using Regressions (Linear and non-Linear), Statistical Models, Estimation and Predictive Analysis to predict Customer behavior to optimize business processes.
- At Silicon Interfaces, AI is automation in making logical decisions, to control conditional logic and identifying patterns and encompasses a wide variety and the use of these technologies, including neural networks, machine learning and deep learning.
- At the core, machine learning uses machine learning algorithms (like decision tree), which may be Supervised, Unsupervised, Semi-supervised and Reinforcement learning, trained on data sets (labeled, unlabeled, or mixed data) to create machine learning models that allow computer systems to perform, like humans.
- The comparison between human cerebral nervous system (CNS) and artificial neural network (ANN) is the fundamental thinking behind all solutions proposed by Silicon Interfaces using AI.
- Silicon Interfaces proficiencies in these domains extends through the complete modeling process.
- The model building to predict outputs based on input data through the forward propagation with hyper parameters, like weights and biases, and use of activations functions, like ReLU, Sigmoid as well as Loss Functions (like Binary Cross-Entropyor for Regressions mean-squared error (MSE)) is deterministic to the network architecture, be in Binary Classified or Categorical Classified
- Regenerative AI sometimes called gen AI, is artificial intelligence (AI) that can create original content-such as text, images, video, audio or software code-in response to a user's prompt or request.
- The application of AI/ML Services has resulted in savings of time for the Financial, Retail and Semiconductor Industry
Some trademarks, copyrights or patents may be restricted ownership based on geographical locations. All
trademarks and copyrights or patents are acknowledged.
Designed and maintained by Silicon Interfaces. Copyright © 1999 - Silicon Interfaces Private
Limited, India. All rights reserved.
Privacy Statement & Terms of use
Code of Conduct
Environment Health and Safety.
Privacy Statement & Terms of use
Code of Conduct
Environment Health and Safety.
