Holden Galusha

Intertwined trends in automation and AI are pointing to a single inflection point: the autonomous lab

Study of more than 2,000 children finds that those who game perform better in tasks involving attention, active memory, and more

Exploring emerging technologies, data challenges, and the interplay of hardware and digital automation

Reducing bureaucracy, aligning staff with their strengths, and streamlining processes all have tangible benefits on lab productivity and staff morale

How lab managers can adapt operations and culture to make hybrid lab work sustainable without sacrificing standards or innovation

Running an efficient and sustainable lab requires digital-first workflows to maximize speed, collaboration, and data integrity

New machine learning model "goes beyond" both Boltz-1 and AlphaFold 3 with its affinity binding model

Your lab’s branding goes beyond a logo—and it helps define reputation, shape customer experience, and cement the priorities of your lab

Stephen Miller of MachineQ discusses how AI-driven asset management and IoT data help labs improve equipment utilization, maintenance planning, and operational efficiency.

In this Q&A, Michael Connell, COO at Enthought, explains how agentic AI and LLM-driven research workflows are changing experimental design, accelerating materials discovery, and helping laboratories build more adaptive, data-driven R&D processes.