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Kanal postlari
🔵Our engineering and AI leadership recently visited Nazarbayev University (NU) in Kazakhstan, and we were genuinely impresse
+1
🔵Our engineering and AI leadership recently visited Nazarbayev University (NU) in Kazakhstan, and we were genuinely impressed by the campus, especially the state-of-the-art wet labs. 🔴For Life Sciences IT, finding active research facilities of this caliber is rare. It means that instead of teaching complex tools like Laboratory Information Management Systems (LIMS) purely through presentations, we can train future engineers hands-on in the exact physical environments those systems are built for. 🟡Starting this September, Quantori will be back at NU to host specialized sessions in bioinformatics and cheminformatics, helping bridge the gap between computer science and modern lab research.

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🔵We are proud to announce that Quantori's AI engine for spatially-aware molecule generation has won the “Machine Learning In
🔵We are proud to announce that Quantori's AI engine for spatially-aware molecule generation has won the “Machine Learning Innovation Award” in the 2026 AI Breakthrough Awards! 🔴A special congratulations to Denis Sapegin and the team, whose dedication, expertise, and hard work have been instrumental in bringing this to life. 🟡AI Breakthrough Awards is a global program that honors top companies, technologies, and products shaping the future of Artificial Intelligence. 🔗Read the full press release here. Learn more about how we are helping researchers design novel molecular structures at scale on the new MLConfGen page on our website.
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🔵Last month, Quantori joined the 25th Bio-IT World Conference, a massive industry event uniting 3,000+ attendees and 200+ sp+2
🔵Last month, Quantori joined the 25th Bio-IT World Conference, a massive industry event uniting 3,000+ attendees and 200+ speakers across 10+ tracks! 🔴At the event, Chris Waller, PhD, presented The Lab of the Present, showcasing how Quantori’s Q-Suite utilizes agentic AI to reshape life sciences R&D. Chris explained how autonomous AI can compress drug discovery from months to days via a self-optimizing DMTA cycle, securely guided by semantic guardrails and MCP integrations. He also touched on CMC optimization and the ethical future of AI. 🟡Read the full highlights and view the slides on Quantori’s website to dive deeper into how agentic AI is bridging the dry-wet gap.
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