Optimization
Atinary announces their latest research on Multi-fidelity Optimization (MFBO), a machine learning technique that optimizes several information sources with different fidelities.
This collaboration will integrate Atinary’s AI-driven and automated process optimization technology with Snapdragon’s state-of-the-art laboratories and process development capabilities to tackle complex challenges in drug development.
Atinary announces collaboration with the group of Prof. Alfredo Alexander-Katz, Laboratory for Soft Materials at Massachusetts Institute of Technology (MIT).
🔬🚀 Our latest article describes a framework and lay out the key technologies to accelerate R&D and optimize experiment planning.
Atinary Technologies releases SeMOpt, a new machine learning algorithm for transfer-learning and accelerating optimization processes.
Atinary and IBM Research conduct a high-impact project, integrating ML, robotics & cloud computing to revolutionize chemistry, optimization & materials discovery.
