Algorithm Explainability Magazine 
Unite.AI
OCTOBER 20, 2023
It took a lot of explaining to get them to understand how a reporter works. What are the different machine learning algorithms that are currently used at Trint? I remember meeting some very wealthy angel investors in the early days and they just couldn’t grasp why reporters like me need transcripts. I think that’s easier today.
Becoming Human
MARCH 17, 2023
Transparency and Explainability One of the key ethical considerations surrounding AI is transparency and explainability. As AI algorithms become more complex and sophisticated, it can be challenging to understand how they make decisions. This lack of transparency can lead to concerns about bias, discrimination, and fairness.
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Becoming Human
FEBRUARY 1, 2023
They are typically trained on a large dataset of text, such as books, articles, and websites, and use algorithms and techniques such as natural language processing (NLP) and machine learning to learn the patterns and relationships between words and phrases. see you in the next article!
Becoming Human
MARCH 16, 2023
AI began back in the 1950s as a simple series of “if, then rules” and made its way into healthcare two decades later after more complex algorithms were developed. Machine Learning Machine learning (ML) focuses on training computer algorithms to learn from data and improve their performance, without being explicitly programmed.
Becoming Human
APRIL 19, 2024
Businesses are leveraging the expertise of AI consultants to navigate the complexities of implementing AI solutions, from developing custom algorithms to integrating off-the-shelf AI tools. AI consultants must be vigilant in identifying and mitigating bias in the data and algorithms they work with.
Marktechpost
SEPTEMBER 30, 2024
Existing research includes several hypotheses to explain the poor performance of SGD on Transformers compared to Adam. Researchers from The Chinese University of Hong Kong, Shenzhen, China, and Shenzhen Research Institute of Big Data explained the performance disparity between SGD and Adam in training Transformers. Check out the Paper.
Becoming Human
MAY 11, 2023
The data must be checked for errors and inconsistencies and transformed into a format suitable for use in machine learning algorithms. This involves selecting the appropriate algorithms, training the models on the data, and testing their accuracy and performance.
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