材料科学&化学

Top 5 Takeaways from the American Chemical Society (ACS) 2023 Fall Meeting: R&D Data, Generative AI and More

8月 29, 2023

By Mike Heiber, Ph.D., Director, Professional Services & Customer Success, Materials Informatics The Ameri…

From Data to Discovery: Exploring the Potential of Generative Models in Materials Informatics Solutions

6月 30, 2023

Generative models can be used in many more areas than just language generation, with one particularly promising area: molecule generation for chemical product development.

The Importance of Large Language Models in Science Even If You Don’t Work With Language

6月 11, 2023

OpenAI’s ChatGPT, Google’s Bard, and other similar Large Language Models (LLMs) have made dramatic strides in their ability to interact with people using natural language. Users can describe what they want done and have the LLM “understand” and respond appropriately. 

Digital Transformation of the Materials Science R&D Lab

3月 31, 2022

“Digital transformation”, “machine learning”, and “artificial intelligence&#8221…

SEMI SMC 2021に出展しました。

11月 14, 2021

今年のSEMI Strategic Materials Conferenceでは、サプライチェーン全体にわたる半導体業界のリーダーが集まり、今後5年間に出現するであろう大きな課題と機会について議論しました。 私たちが得た…

Digital-centric R&D Laboratories

2月 16, 2021

To have a transformative impact, labs must reinvent workflows through digital technologies and skills, adoptin…

Webinar Q&A: Accelerating Product Reformulation with Machine Learning

10月 28, 2021

In our recent C&EN Webinar: Accelerating Consumer Products Reformulation with Machine Learning, we demonst…

Machine Learning in Materials Science

8月 10, 2021

The process of materials discovery is complex and iterative, requiring a level of expertise to be done effecti…

Digital-centric R&D Laboratories

2月 16, 2021

To have a transformative impact, labs must reinvent workflows through digital technologies and skills, adoptin…