Posts Tagged ‘Machine learning’
The Familiarity of AI
Artificial intelligence (AI) and machine learning are becoming daily terminology not only for professionals but also consumers. This interesting topic came to us from Built In and their article, “How Artificial Intelligence and Machine Learning Will Reshape Enterprise Technology.” These days, AI is more common than one may think, as it is being used worldwide across multiple industries…
Read MoreGambling on Technology
Since machine learning models are imperfect, people must understand when to believe a model’s predictions in high-stakes situations. MarkTechPost brought this interesting news to our attention in their article, “MIT researchers have developed a new technique that can enable a machine learning model to quantify how confident it is in its predictions.” Robust machine learning…
Read MoreSemantic Search in Social Media
Elon Musk is investing in artificial intelligence (AI) and building his own generative AI models. He recently announced they are also working on semantic search for X, formerly Twitter. This news came to us from Social Media Today in their article, “Elon Musk Says Semantic Search Coming Soon to X.” Semantic search in social media…
Read MoreDeep Learning is About Training
Deep learning training is the process whereby a deep neural network is taught using a set of data such that it can make predictions for a modeled event. It can involve trial and error, and it can take many tries until the network is able to accurately draw conclusions based on the training data. Constructing training…
Read MoreMitigating Risks with AI
It is understood that artificial intelligence (AI) models that are built on consumer data must also be built with data privacy in mind. Some users are hesitant of automated systems that collect and use their data, so to remain viable, AI models must incorporate privacy protection into their design. This interesting information came to us…
Read MoreCalming Fear
A lot of fear surrounds artificial intelligence (AI). Some is connected to perceived job security and some is related to technology “doomsday” scenarios. The University of Waterloo researchers have developed a new explainable AI model to reduce bias and enhance trust and accuracy in machine learning-generated decision-making and knowledge organization. This interesting information came to…
Read MoreAI in Daily Life
Artificial intelligence (AI) and machine learning are becoming daily terminology not only for professionals but also consumers. This interesting topic came to us from Built In in their article, “How Artificial Intelligence and Machine Learning Will Reshape Enterprise Technology.” AI is more common than anyone may think. It is being used worldwide across multiple industries including healthcare and…
Read MoreLearning From Machines
Since machine learning models are imperfect, people must understand when to believe a model’s predictions in high-stakes situations. MarkTechPost brought this interesting news to our attention in their article, “MIT researchers have developed a new technique that can enable a machine learning model to quantify how confident it is in its predictions.” Robust machine learning…
Read MoreTechnologies That Improve Findability
Natural language processing (NLP) and natural language understanding (NLU) are often-confused technologies that together make search more intelligent, ensuring people can find what they want. The intelligence is had through semantic search. NLP is a branch of artificial intelligence (AI) that deals with the interaction between computers and humans using natural language. NLU is a subset of NLP that…
Read MoreKeeping Data Clean
Deep learning training is when a deep neural network learns from a predetermined set of data to make predictions about similar occurrences under similar conditions. It involves trial and error, until the network is able to accurately draw conclusions based on the desired outcome. Constructing training data sets for deep learning models involves billions of data…
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