AI
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.
The organizations are collaborating to deliver an integrated AI experience for high throughput experimentation (HTE).
Atinary reaches a major milestone: 5️⃣ years working to transform how science and R&D are done. Happy anniversary Atinary! 🎈
Atinary sponsors the “LLM Hackathon for Applications in Materials Science & Chemistry” at EPFL, Lausanne. Congratulations to our 2 award-winning projects!
In Episode 2 of Atinary's Webinar series, we discussed the capabilities of Atinary SDLabs and IBM's RoboRXN in accelerating chemical reaction optimization.
Atinary announces partnership with the Danish research center dedicated to the discovery of sustainable materials for green transition.
🔬🚀 Our latest article describes a framework and lay out the key technologies to accelerate R&D and optimize experiment planning.
Atinary and IBM Research conduct a high-impact project, integrating ML, robotics & cloud computing to revolutionize chemistry, optimization & materials discovery.
CNBC TV series, Advancements with Ted Danson, features Atinary and our AI no-code Self-Driving Labs technology, that is revolutionizing R&D and discoveries.