InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Generally AI - Season 2 - Episode 3: Surviving the AI Winter
Roland Meertens and Anthony Alford discuss the historical cycles of AI "summers" and "winters": periods of optimism and decline in AI research. The conversation follows the story of neural networks, to the resurgence of AI with backpropagation and deep learning in the 2010s. They also explore the potential for a future "AI Winter", as technological advances face both hype and skepticism.
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Generally AI - Season 2 - Episode 2: Fantastic Algorithms and Where to Find Them
Roland Meertens and Anthony Alford discuss their favorite algorithms, starting with the etymology of the word "algorithm". Meertens introduces the concept of probabilistic counting, focusing on the HyperLogLog algorithm, which can be used to estimate the count of unique items. He shares his own personal algorithm for estimating how many people he talks to at conferences.
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AI, Rust, and Resilience: Key Software Trends Seen by the QCon San Francisco 2024 Program Committee
QCon conferences cover emerging trends in software, and this episode features members of the QCon San Francisco 2024 programming committee discussing those trends selected to be the focus of this year’s QCon San Francisco. This discussion is similar to InfoQ trends reports, with expert practitioners highlighting the technologies and practices that they feel deserve attention.
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Generally AI - Season 2 - Episode 1: Generative AI and Creativity
Hosts Roland Meertens and Anthony Alford discuss how AI is being used to make creativity more accessible. While some Generative AI content lacks variety and artistic depth, there is potential for AI to assist human creators rather than replace them. They also explore the challenge of evaluating generative AI models.
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A Primer on AI for Architects with Anthony Alford
This episode provides an overview of the real-world technologies involved in the umbrella phrase Artificial Intelligence. Anthony Alford explains just enough about machine learning, large language models, retrieval-augmented generation, and other AI terms which today’s software architects need to be able to discuss.