All current Conference Talks courses in 2024
731 Courses
Sleeping with One AI Open
Explore adversarial attacks on AI/ML systems, their real-world implications, and mitigation strategies. Learn about potential risks and security considerations in AI-driven technologies across various sectors.
Genetic Algorithms in Elixir
Explore genetic algorithms in Elixir with Sean Moriarity and Bruce Tate. Learn problem-solving techniques, from basics to real-world applications, using this powerful tool in a familiar language.
Empowering Consumers - Evolution of Software in the Future
Explore the future of software with experts discussing personal data sovereignty, innovative AI, cloud computing's utility paradigm, and the shift towards consumer-driven software development.
Digital Nudge
Explore how technology influences our daily decisions and learn strategies to predict and shape digital behavior through environmental interventions.
Sustainable Software in Practice
Explore real-world green software projects, challenges, and insights on reducing carbon footprint through initiatives like the Green Software Foundation. Learn about the growing importance of sustainable coding practices.
Hello Deep Learning
Explore deep learning from scratch, building an OCR solution for handwritten letters. Learn the fundamentals of machine learning and gain insights into the world of AI and neural networks.
Agility Does Not Equal Speed
Explores misconceptions about agility in software development, emphasizing sustainable pace, working software, and team intelligence over speed and scale. Challenges common assumptions in Agile practices.
Rethinking Binary Search - Improving on a Classic with AI Assistance
Explore an innovative approach to binary search, leveraging AI and mathematical analysis to optimize this classic algorithm for improved performance and efficiency.
C++hatGPT - How AI Tools Impact Your Life as a Systems Programmer
Explore AI's impact on C++ development, from leveraging language models for coding to examining complex idioms that challenge current AI capabilities.
Quo Vadis, Embedded?
Exploring paradoxes in embedded systems: modern languages vs. C, fast CPUs vs. low-clock devices, and the enduring popularity of 8-bit hardware. Insights into the unique challenges and trends in embedded development.