AI adoption: is it obvious yet?
Analyzes common pitfalls in AI adoption, arguing that technical and product maturity models can hinder practical implementation.
Analyzes common pitfalls in AI adoption, arguing that technical and product maturity models can hinder practical implementation.
A $10,000 charity bet on whether fully autonomous (Level 5) self-driving cars will be commercially available in major US cities by 2030.
A forecast of speech recognition technology's evolution from 2010 to 2030, analyzing past progress and predicting future trends.
A call to join a month-long AI and cloud learning challenge focused on responsible AI for mental health awareness, using Microsoft Azure.
The article critiques modern search engines' reliance on structured metadata over advanced AI for tasks like indexing and content understanding.
An interview with AI researcher Joelle Pineau discussing her work in reinforcement learning, its applications, and advice for newcomers to the field.
Explores the interconnected principles of trust, ethics, transparency, and accountability in the development and deployment of Artificial Intelligence systems.
Explains the physics and optics behind why smartphone portrait mode uses artificial blur instead of true optical depth of field.
A tech blogger reviews their 2020 conference presentations and blogging output, discussing challenges and future plans for AI and Azure topics.
A meetup recap covering an AI-powered parking space prediction project using Azure services and a session on GitHub Actions for CI/CD.
An analysis of GPT-3's capabilities, potential for misuse in generating fake news and spam, and its exclusive licensing by Microsoft.
Announcement for the Azure Skåne AI Day event, featuring sessions on Azure Cognitive Search, AI monitoring, Custom Vision, and transfer learning.
Announcement for an online Azure Skåne User Group event featuring AI/ML sessions on predicting earthquake damage and building chatbots.
A developer shares their personal learning journey and syllabus for mastering Python, Machine Learning, and Deep Learning in 2020.
A review of 'Architects of Intelligence,' a book featuring interviews with 23 leading AI researchers and industry experts.
A review of 'Architects of Intelligence,' a book featuring interviews with 23 leading AI researchers and industry experts.
A satirical look at AI development and government funding, imagining a fictional 'Ministry of Silly Models' in the UK.
Explores AI-driven content curation through Archillect and algorithmic generative art via Inconvergent, highlighting automated creativity.
An exploration of predictive analytics, its historical roots in human nature, and its modern implementation through data science and AI technologies.
A blog post exploring the parallels and differences between human cognition and machine learning, including biases and inspirations.