Controlled synthesis of materials with specified atomic structures underpins technological advances yet remains reliant on iterative, trial-and-error approaches. Nanoparticles (NPs), whose atomic arrangement dictates their emergent properties, are particularly challenging to synthesise due to numerous tunable parameters. Here, we introduce an autonomous approach explicitly targeting synthesis of atomic-scale structures. Our method autonomously designs synthesis protocols by matching real time experimental total scattering (TS) and pair distribution function (PDF) data to simulated target patterns, without requiring prior synthesis knowledge. We demonstrate this capability at a synchrotron, successfully synthesising two structurally distinct gold NPs: 5 nm decahedral and 10 nm face-centred cubic structures. Ultimately, specifying a simulated target scattering pattern, thus representing a bespoke atomic structure, and obtaining both the synthesised material and its reproducible synthesis protocol on demand may revolutionise materials design. Thus, ScatterLab provides a generalisable blueprint for autonomous, atomic structure-targeted synthesis across diverse systems and applications.

Artificial intelligence (AI) has steadily become more integrated into daily life, and this is evident through Google maps, face recognition, and autocorrect. Joining their ranks is breakthrough conversational AI technology. Conversational AI entails technologies that allow computers and machines to create automated messages and speech-enabled applications. This allows for human-like interactions between humans and devices. As more and more platforms begin to rely on AI-based customer services, it's no surprise that the conversational AI market is projected to reach $18.02 billion by 2027.

Artificial intelligence (AI) has steadily become more integrated into daily life, and this is evident through Google maps, face recognition, and autocorrect. Joining their ranks is breakthrough conversational AI technology. Conversational AI entails technologies that allow computers and machines to create automated messages and speech-enabled applications. This allows for human-like interactions between humans and devices. As more and more platforms begin to rely on AI-based customer services, it's no surprise that the conversational AI market is projected to reach $18.02 billion by 2027.

"I am captivated by a sense of fear I have never experienced in my entire life …" a user named Heehit wrote in a Google Play review of an app called Science of Love. This review was written right after news organizations accused the app's parent company, ScatterLab, of collecting intimate conversations between lovers without informing the users and then using the data to build a conversational A.I. chatbot called Lee-Luda. A majority of Americans are not confident about how companies will behave when it comes to using and protecting personal data. But it can be hard to imagine the potential harms--exactly how a company misusing or compromising data can possibly affect us and our lives. A recent incident of personal data misuse in South Korea provides us a clear picture of what can go wrong, and how consumers can fight back.