Machine learning is a rapidly evolving field. To stay ahead of the curve, we actively encourage our quantitative researchers and machine learning engineers to attend conferences like ICML so they can engage in the latest cutting-edge research.
In this ICML paper review series, our team share their insights on the most interesting research and papers presented at the conference. They discuss the latest advancements in ML, offering a comprehensive overview of the field and where it is heading. Through this series, you will gain valuable insights into the latest trends and developments in ML.
Follow the links to read each set of ICML 2024 paper reviews.
Yousuf, Machine Learning Engineer
Danny, Machine Learning Engineer
Jonathan, Software Engineer
Evgeni, Senior Quantitative Researcher
Michael, Scientific Director
Fabian, Senior Quantitative Researcher
Ingmar, Quantitative Researcher
Oliver, Quantitative Researcher
We were thrilled to welcome James Maynard, Fields Medallist 2022 and Professor of Number Theory, at the Mathematical Institute in Oxford, on stage for the latest Distinguished Speaker Symposium last month. James’ talk on Patterns in prime numbers hones in on unanswered questions within mathematics and the recent developments that have brought the solutions to those problems closer to reality. Hear more in his exclusive interview with us.
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Hear from Florian, Open-Source Software Engineer, on the challenges and breakthroughs behind Project Velocity, an internal initiative aimed at enhancing the .NET developer experience.
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Cliff Cocks – instrumental to the development of public key cryptography during his time at GCHQ – was the first of our speakers at the latest Distinguished Speaker Symposium. Learn more in his exclusive interview with us.
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