NSTC blog
Explainers and perspectives on AI, biotechnology, nanotechnology and how science is taught, from the NanoSchool team and mentors.
Millions of papers, sprawling datasets, and not enough hours — a look at the AI systems built to think alongside researchers instead of just searching for them.
Read article →AI in drug discovery refers to the use of artificial intelligence algorithms to support the identification, design, evaluation, and development of potential therapeutic molecules.
Read article →Artificial intelligence and robotics are no longer concepts reserved for university research labs or industrial facilities. They actively drive decision-making across healthcare, climate science, agriculture, transportation, and daily digital platforms. As schools…
Read article →That’s the generative trap. For the last few years, we’ve treated artificial intelligence like a hyperactive intern who needs constant supervision—spoon-feeding it context, correcting its math, and manually pasting its output into…
Read article →For decades, science education was compartmentalized. However, the most significant breakthroughs of the 2020s are happening where disciplines intersect. This is the domain of Deep Science.
Read article →Deep Science is not about learning disciplines in silos; it is the intersection where biology becomes programmable, matter becomes manipulable at the atomic level, and AI predicts the outcomes.
Read article →Why the era of "Generalist" coding is over, and why the future belongs to those who bridge the gap between Science and AI.
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