Pickl AI

SEPTEMBER 3, 2024

Summary: Artificial Neural Network (ANNs) are computational models inspired by the human brain, enabling machines to learn from data. Inspired by the human brain’s structure and function, these networks are designed to identify patterns, make predictions, and solve complex problems across various domains.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing Machine Learning 52

Towards AI

OCTOBER 3, 2024

Liquid Neural Networks: Research focuses on developing networks that can adapt continuously to changing data environments without catastrophic forgetting. These networks excel at processing time series data, making them suitable for applications like financial forecasting and climate modeling.

Neural Network 124

Neural Network Algorithm Continuous Learning AI 124

Marktechpost

SEPTEMBER 19, 2024

The UAT forms the basis of deep learning and explains memory in Transformer-based LLMs. UAT shows that neural networks can approximate any continuous function. In Transformer models, this principle is applied dynamically based on input data.

LLM 56

LLM Neural Network Explainability Deep Learning 56

Pickl AI

NOVEMBER 28, 2024

Understanding various Machine Learning algorithms is crucial for effective problem-solving. Continuous learning is essential to keep pace with advancements in Machine Learning technologies. Linear Algebra Linear algebra is fundamental for Machine Learning, especially in understanding how models process data.

Machine Learning 52

Machine Learning Neural Network ML Engineer Algorithm 52

Pickl AI

DECEMBER 16, 2024

Foundational techniques like decision trees, linear regression , and neural networks lay the groundwork for solving various problems. These languages provide access to powerful libraries and frameworks such as TensorFlow, PyTorch, and Scikit-learn, simplifying the implementation of Machine Learning models.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Algorithm 52

Snorkel AI

OCTOBER 4, 2023

Lenders and credit bureaus can build AI models that uncover patterns from historical data and then apply those patterns to new data in order to predict future behavior. Instead of the rule-based decision-making of traditional credit scoring, AI can continually learn and adapt, improving accuracy and efficiency.

Data Scientist 64

Data Scientist AI AI Neural Network 64

Snorkel AI

OCTOBER 4, 2023

Lenders and credit bureaus can build AI models that uncover patterns from historical data and then apply those patterns to new data in order to predict future behavior. Instead of the rule-based decision-making of traditional credit scoring, AI can continually learn and adapt, improving accuracy and efficiency.

Data Scientist 59

Data Scientist AI AI Neural Network 59