Unite.AI

OCTOBER 20, 2023

In addition, they can use group and individual fairness techniques to ensure that algorithms treat different groups and individuals fairly. Promote AI transparency and explainability: AI transparency means it is easy to understand how AI models work and make decisions.

Responsible AI 283

Responsible AI Generative AI AI AI 283

Towards AI

OCTOBER 3, 2024

Ongoing Challenges: – Design Complexity: Designing and training these complex networks remains a hurdle due to their intricate architectures and the need for specialized algorithms.– These chips have demonstrated the ability to process complex algorithms using a fraction of the energy required by traditional GPUs.–

Neural Network 124

Neural Network Algorithm Continuous Learning AI 124

Unite.AI

JULY 1, 2024

Additionally, the dynamic nature of AI models poses another challenge, as these models continuously learn and evolve, leading to outputs that can change over time. Transparency and Explainability Enhancing transparency and explainability is essential. This necessitates ongoing scrutiny to ensure consistent audits.

Explainability 182

Explainability BERT AI AI 182

Pickl AI

NOVEMBER 5, 2024

Data Science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. For example, PayPal uses Machine Learning algorithms to analyse transaction patterns and identify anomalies that may indicate fraudulent activity.

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 52

How to Learn Machine Learning

JUNE 9, 2024

It enables machines to recognize patterns in training data and learn without human assistance. What makes them fantastic is their ability to learn from their past interactions. This continuous learning enables the ML systems to improve their outcomes and make better predictions on new data over time.

Machine Learning 52

Machine Learning Explainable AI Explainability ML 52

Pickl AI

SEPTEMBER 3, 2024

Explainable AI As ANNs are increasingly used in critical applications, such as healthcare and finance, the need for transparency and interpretability has become paramount. Continuous Learning Given the rapid pace of advancements in the field, a commitment to continuous learning is essential.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing Machine Learning 52

Viso.ai

APRIL 25, 2024

Studies revealed that the error rate for dark-skinned individuals could be 18 times higher than that for light-skinned individuals in some commercial gender classification algorithms. Facial recognition algorithms are one of the areas affected by the sampling bias, as it can cause different error rates depending on the data it was trained on.

Computer Vision 52

Computer Vision Categorization Algorithm Deep Learning 52