Posts Tagged ‘Artificial intelligence’
Using AI in Monitoring Energy
When it comes to energy, artificial intelligence (AI) contributes to the real-time monitoring of power grids, more accurate predictions of power fluctuations, and the development of new strategies to work with geothermal energy sources. Smart Energy International brought this interesting information to our attention in their article, “How to advance data analysis and AI in…
Read MoreAI and Data Quality
In today’s rapidly evolving technological landscape, two prominent fields, data science and artificial intelligence (AI), have emerged as driving forces behind innovation and progress. While often discussed independently, these fields are intricately interconnected, each enhancing the capabilities of the other. Fagen Wasanni Technologies brought this topic to our attention in their article, “AI Data Quality…
Read MoreExplaining AI
Artificial intelligence (AI) is hot every way, and all are eager to chase down the latest important opinion about the new developments, the primal fears, and the measurable impacts on society. What seldom arises is AI’s environmental impact. New Scientist brought this interesting information to our attention in their article, “Artificial intelligence training is powered…
Read MoreFighting Fraud with Tech
Emerging technologies play a significant role in fighting fraud across various industries. These technologies leverage advanced data analysis, automation, machine learning, and artificial intelligence (AI) to detect, prevent, and mitigate fraudulent activities. Digital Transactions brought this interesting topic to us in their article, “How Emerging Technologies Can Help Solve EBT Fraud.“ Machine learning algorithms can…
Read MoreMachine Learning vs. Artificial Intelligence
In the realm of cutting-edge technology, terms like machine learning and artificial intelligence (AI) are often used interchangeably, leading to confusion about their distinct meanings and applications. While both are integral components of modern computing, they serve different purposes and operate on distinct principles. This topic came to us from More Than Digital in their…
Read MoreAI, Ontologies, and Search
Ontologies play a crucial role in artificial intelligence (AI) by providing a structured representation of knowledge within a specific domain. An ontology defines a set of concepts, their relationships, and their properties, capturing the essential knowledge about particular subject matter. This interesting topic came to us from Tian Shan in their article, “Understanding Cognitive Search…
Read MoreThe Power of Classification: Enhancing Findability in the Digital Age
In an era dominated by vast amounts of information, the ability to automatically classify and organize data is more crucial than ever. Classification serves as the backbone for improving findability. Findability is what makes it easier for individuals and organizations to navigate the overwhelming sea of data that characterizes the digital landscape. At its core,…
Read MoreFighting Fraud with AI
Internet fraud continues to be a menace to society, especially in healthcare and financial institutions. Many fintech companies have been victims of fraud. Detection of these attacks comes via two paths: through inconsistent traditional methods or using ever-growing artificial intelligence (AI) mechanisms. Entrepreneur brought this interesting information to us in their article, “How AI and Machine Learning…
Read MoreAI in Healthcare
Artificial Intelligence (AI) is playing a transformative role in the field of healthcare by aiding in the diagnosis of diseases. The application of AI in medical diagnosis has the potential to enhance accuracy, speed up processes, and provide valuable insights to healthcare professionals. This topic came to us from UT Health in San Antonio in…
Read MoreBlockchain and AI
The key advantage of artificial intelligence (AI) is its ability to simulate human reasoning and react quickly to large volumes of many different inputs. This is also its drawback, however, since the complexity of the AI decision-making process is often not transparent. Complex machine learning models in AI, such as deep neural networks, are often black boxes.…
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