Cambridge AI in (Bio)Chemical Engineering and Chemistry conference
The conference series brings researchers together to advance AI and ML in chemistry and biochemical engineering. It runs a yearly program of keynote talks, invited lectures, and community-submitted papers focusing on applications like computational molecular materials discovery and automated experimental design. Core technologies highlighted include Machine Learning, AI, Python tooling, Neural Networks, Graph Transformer Networks, Bayesian Optimisation, Reinforcement Learning, and Language Models. The events connect academia and industry for knowledge sharing and scale in digital chemistry and chemical engineering.
Cambridge AI in (Bio)Chemical Engineering and Chemistry conference
The conference series brings researchers together to advance AI and ML in chemistry and biochemical engineering. It runs a yearly program of keynote talks, invited lectures, and community-submitted papers focusing on applications like computational molecular materials discovery and automated experimental design. Core technologies highlighted include Machine Learning, AI, Python tooling, Neural Networks, Graph Transformer Networks, Bayesian Optimisation, Reinforcement Learning, and Language Models. The events connect academia and industry for knowledge sharing and scale in digital chemistry and chemical engineering.