Posts Tagged ‘Machine learning’
Protecting Deep Learning
Deep learning training is when a deep neural network learns how to analyze a predetermined set of data and make predictions about what it means. It involves a lot of 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…
Read MoreEmerging Tech Changing Businesses
Artificial intelligence (AI) has been a game-changer for all industries. Businesses are using AI tools to automate processes, improve decision-making, and gain a competitive edge. AI is transforming the way businesses approach governance, risk, and compliance tasks as well as security operations. This interesting information came to us from ISACA in their article, “The Urgent…
Read MoreLooking Inside
MIT researchers are striving to improve the interpretability of standardized features of machine learning algorithms, so decision makers will be more comfortable using the outputs of machine learning models. They have developed a taxonomy to help developers craft features that will be easy for their target audience to understand. This interesting information came to us…
Read MoreUsing Technology in FinTech to Fight Fraud
Internet fraud continues to be a menace in 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 MoreUnderstanding ChatGPT
Chat bots like GPT are fed both by great amounts of data and natural language algorithms, and they make predictions for putting words together such that they convey meaning to humans. They not only tap into a vast vocabulary and phraseology: they understand context. This helps them mimic speech patterns and engage on a wide…
Read MoreAI and Analytics
Festo recently announced a new artificial intelligence (AI) platform for predictive maintenance, predictive quality, and energy optimization. Using advanced analytics, Festo AX maps data to learn a component, machine, product, or energy system’s healthy state. Festo AX provides actionable information to correct anomalies when data begins trending away from nominal. This interesting topic came to…
Read MoreUsing Technology in Conservation
Smart Parks is a Netherlands-based organization deploying high tech and an R&D-focused approach to finding technological solutions to conservation problems. The organization is becoming well-known for using LoRa (long range) wireless technology to create networks of connected sensors and devices within conservation areas. The Harvard Business Review brought this interesting subject to our attention in…
Read MoreLearning About Meta-Training
Meta-training, which is also called model agnostic machine learning (MAML), is the idea of teaching the model to create a solver of the problem in lieu of teaching the model to learn to solve a problem. MarkTechPost brought this interesting topic to our attention in their article, “New AI Research From Deepmind Explains How Few-Shot…
Read MoreUnderstanding Machine Learning through Taxonomies
Researchers are striving to improve their descriptions of features so decision makers will be more comfortable using the outputs of machine learning models. They have developed a taxonomy to help developers craft features that will be easier for their target audiences to understand. This interesting information came to us from Science Daily in their article,…
Read MoreThe AI Family
Machine learning and data science are two separate concepts that are related to the field of artificial intelligence (AI), but both rely on data. This interesting topic came to us from Unite.AI in their article, “Machine Learning vs Data Science: Key Differences.” In the 21st Century, these two terms are some of the most searched terms…
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