Providing Clarity to AI
MIT researchers are striving to improve the interpretability of features so decision makers will be more comfortable using the outputs of machine learning models. […]
Monitoring Models
A machine learning model is a file that has been trained to recognize certain types of patterns. You train a model over a set […]
Equipping AI Needs
Even with the evolution of emerging technologies, memory remains one of the most critical technologies for enabling continued advances in artificial intelligence (AI) and […]
Learning About Machine Learning
Machine learning has become an important component of many applications we use today, and adding machine learning capabilities to applications is becoming increasingly easy. […]
AI in Daily Life
“Artificial intelligence” (AI) and “machine learning” are becoming daily terminology for not just professionals, but even consumers. This interesting topic came to us from Built In and […]
Machine Learning and Predictive Models
When it comes to machine learning algorithms, your predictions are only as good as your data. And if you aren’t using the right data, […]
Technology and Environmental Resources
If we’re going to rely on more renewable energy sources, utilities will need better ways of predicting how much energy is needed, in real time and […]
Machine Learning and Science
Scientists have decoded visual images from a dog’s brain, offering a first look at how the canine mind reconstructs what it sees, using machine […]
Understanding Technology
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 […]
Data-Driven Decision-making
Organizations can gather intelligent data-driven insights by using new forms of databases and machine learning algorithms, along with real-time data processing capabilities. This enables […]