In this collection, we explore the latest developments in artificial intelligence (AI) and automation, covering technologies and applications such as machine learning, robotics, laboratory automation and data analysis, and their impact on chemistry research, the profession, and chemistry-using industries.
Researchers working with automated systems are pushing the boundaries of what chemists can achieve in the lab, reports James Mitchell Crow
Phil Ball looks at whether letting machines do our thinking for us will change our understanding of chemistry itself
Whether it’s robots, automation or software hacks, Nessa Carson finds ways for everyone to improve how they work in the lab
It’s time to accept that digitalisation is changing laboratory work, and embrace the opportunity
Machine learning can complement and reinforce human intuition and experience
It’s going to change our lives. But it’s not clear in what ways
Writing your own software can be useful, but what matters is knowing how to use it
The future of lab automation is promising. Join us to find out answers to the most important questions, and to contribute your knowledge and experience to the discussion.
Digital chemistry technologies provide the tools to accelerate your research
Join us 26 September to discover how Standigm’s use of Synthia can accelerate AI-driven drug discovery
Learn how to significantly speed up simulations on molecular structures with Accelerated DFT - join us live 2 October
Two major scientific publishers have recently sold access to research papers to train AIs at big tech firms
Warnings that loose legal definitions in case could also threaten innovation in chemistry
New tool could find use in food science and drug development
‘Synthetic data’ is being used in chemistry, but is it something we should worry about? Hayley Bennett explains
Demonstration shows how algorithms could organise timing and match specialist equipment to experiments
Learn how new AI and HPC capabilities will enable novel solutions to complex chemistry problems
Flavours may decompose into harmful carbonyls, alkenes and aromatics when heated
Patience will be key to making machine learning indispensable – and practical – for chemistry
Strategy could stop an overdose or produce an antidote to a poison
Machine learning tool can predict a beer’s taste and quality and which flavour compounds could improve it
Model showed excellent predicative ability and could cut animal testing in pollution research
A better understanding of Smiles helps GPT-3 recognise chemically relevant patterns
Azure Quantum Elements platform speeds up discovery of solid-state electrolyte from decades to weeks
Experimental and computational issues flagged as researchers conclude that a fully automated lab failed to make new materials
Explore how advancements in computing are accelerating the next frontier of scientific breakthroughs.
Large language model takes control after being prompted to do Suzuki and Sonogashira couplings
Platform understands significance of solid residues, liquid levels, homogeneity, turbidity and colours
High-throughput workflow guided by artificial intelligence identifies parameters to maximise power conversion efficiency
Chatbots could help chemists but their limitations need to be understood
Survey of European scientists sees them stress the importance of human experts in chemical research
UK court’s decision that an artificial neural network can be patented could have widespread ramifications