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In the News | R&D World: “Early tests show ‘AI supermodels’ can speed up materials discovery by 100x (or more) with minimal data”
What Enthought has coined “AI Supermodels” are redefining materials discovery, accelerating breakthroughs at speeds up to 100 times faster—even with minimal data.
In the News | pharmaphorum: “2025 digital transformation budgets: Realigning expectations”
The R&D digital transformation (DX) landscape is evolving once again—driven by the rise of generative AI and now AI agents—and budgets need to keep pace.
In the News | ZDNET: “Agents are the ‘third wave’ of the AI revolution”
Agentic AI may be moving artificial intelligence (AI) to a new level beyond generative AI, with the same characteristics and challenges — but also with some notable distinctions.
In the News | R&D World: “AI agents: The next big thing in science — eventually?”
Large Language Models (LLM) such as ChatGPT transformed the world seemingly overnight. Engineering.com asked Enthought’s Dr. Michael Connell for his thoughts on how engineers can balance privacy, safety and limitations to leverage the power of AI-powered tools responsibly.
Idemitsu Expands Partnership with Enthought to Accelerate Product Innovation using Materials Informatics
Idemitsu Expands Partnership with Enthought to Accelerate Product Innovation using Materials Informatics Expansion will Advance Idemitsu’s Ambitious Digital Transformation and Lithium Battery Material Department Goals…
Agile Digital Transformation Podcast: Michael Connell on Defining and Building Digital DNA
Tim Butara of the Agile Digital Transformation podcast discussed the power of AI in R&D with Enthought’s Dr. Alex Chabot-Leclerc.
WEBINAR-ON-DEMAND
We explore how recent breakthroughs in AI could be applied to chemical and materials product design to overcome traditional barriers—like steep learning curves, limited datasets, and constrained IT infrastructure—and unlock new opportunities for innovation