AI
Atinary collaborates with the lab of Prof. Rogelio Hernández-López at Stanford University to advance T cell engineering using AI, optimizing synthetic circuits for safer, more effective cell therapies.
Atinary at Potenti'ELLE en Science to inspire high school students, showcasing our no-code AI platform and Self-driving Lab technology, SDLabs, and diverse STEM careers.
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.
