Artificial intelligence and automation is transforming every scientific discipline: from physics and chemistry to materials science, earth systems, and space exploration.

AI is not only accelerating breakthroughs; it’s reshaping the scientific process through automated hypothesis generation, experiment design optimization, streamlining literature synthesis, and next-generation lab automation.

We’ve started Decoding Science to track and explain the most important papers, tools, deals, funding models, and other developments in how AI is contributing to advances in everything from quantum physics, chemical synthesis, electronic engineering, self-driven labs and material discovery to science itself.

Our biweekly newsletter curates and explains the most exciting recent papers, tools, platforms, and news at the AI in Science interface.

Our incredible team of authors that will cover this diverse set of topics include:

• Hiya Jain: Neuroscience and History @ Columbia University. Emergent Grants Fellow. Covering metascience and the history of science.

• Inga Van den Bossche: DPhil in Engineering/Biomaterials @ Oxford, EVP of Research at Nucleate. Covering novel material science.

• Michael Bereket: AI for Science, CS PhD candidate @ Stanford. Covering the role of AI in the scientific process.

If you’re passionate about the future of science and believe clear storytelling can shape its trajectory, join us.