Data Science and AI
The University of Chicago’s Polsky Center for Entrepreneurship and Innovation and its Data Science Institute have launched Transform, a new accelerator for startup companies focused on the breakthrough […]
Deep Technology
Regardless of how much data artificial intelligence (AI) has made available, there will always be hidden problems in real-world deployments. Unfortunately, socially situated learning […]
Governing AI
Artificial intelligence (AI) governance is the idea that there should be a legal framework for ensuring that machine learning technologies are well researched and developed with the […]
Internet of Things Today
The Internet of Things (IoT) has become a common term as a topic of conversation in industry articles, online tech groups, and your backyard […]
Artificial Intelligence and Data Analytics
Artificial intelligence (AI) analytics refers to a subset of business intelligence (BI) in which software exhibits behaviors typically attributed to humans, such as learning and […]
Classification & Taxonomies
Understanding taxonomies and how they are used can be challenging, depending on the context and audience. The Accidental Taxonomist brought this interesting topic to […]
AI in the Sky
The popularity of artificial intelligence (AI) and the expansion of cloud computing is leaving an impression in the information management world. Using AI in […]
Making Technology Approachable
It has never been more important for technology to be accessible and approachable. When it comes to artificial intelligence (AI), explainability is key. MIT […]
Moving Forward with AI
The past few years have been profoundly challenging for citizens, companies and governments around the world. As COVID-19 spread, requiring far-reaching health and safety […]
Looking at the Future with Technology
Predictive analytics is making strides in healthcare, predicting and optimizing healthcare outcomes. Machine Learning Times brought this interesting information to us in their article, […]