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.
A personal review of Nick Bostrom's book on AI superintelligence, exploring its paths, dangers, and the crucial control problem.
Explores meta reinforcement learning, where agents learn to adapt quickly to new, unseen RL tasks, aiming for general-purpose problem-solving algorithms.
A tutorial on building a conversational chatbot from scratch using Google's Dialogflow and React Native for a cross-platform mobile app.
A review and tips for the challenging OMSCS CS6601 Artificial Intelligence course, covering its content, workload, and personal experience.
An introductory guide to Reinforcement Learning (RL), covering key concepts, algorithms like SARSA and Q-learning, and its role in AI breakthroughs.
Explores the history and current state of AI, questioning if we truly understand human intelligence or are merely emulating it.
Highlights from the VMworld 2017 Tuesday keynote, covering VMware's support improvements, partnerships, and the launch of Pivotal Container Service (PKS).
An introduction to deep learning, explaining its rise, key concepts like CNNs, and why it's powerful now due to data and computing advances.
A 2017 tech trends analysis focusing on AI/ML advancements in cloud platforms and the rise of hybrid cloud/hyperconverged infrastructure.
A researcher's 2016 highlights: AI mapping to human vision, brain-based autism prediction, and fast matrix factorization algorithms for neuroimaging.
A personal reflection on the trade-offs between convenience and privacy in an era of AI, IoT, and pervasive data collection.
Explores the philosophical implications of consciousness arising from mathematical structures and simulations, inspired by Greg Egan's Permutation City.
A summary of Microsoft's 2015 Future Decoded event in London, covering keynotes on Azure, AI, IoT, and cloud security.
