News
The Atinary Lab will demonstrate cutting-edge AI and self-driving lab technology in collaboration with Takeda Pharmaceuticals.
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.
🔬🚀 Our latest article, a collaboration between Atinary & IBM Research, was published in the May 2024 issue of Chemical Science from the Royal Society of Chemistry!
🎉 We are thrilled to announce an important milestone: our users have run more than 100,000 experiments!
💡 Atinary founders head to Saudi Arabia and UAE to discuss about AI-driven R&D and discovery
