Find out how self-driving labs utilise data-driven approaches to enhance drug discovery efficiency and innovation.

Trilobio, developer of whole lab automation solutions for advancing biology research, today introduced the first version of its comprehensive robotics, lab equipment and software platform at the ...

The agentic operating system for life sciences R&DPRESS RELEASESigmatic Sciences, a Sapio Sciences company, enables scientists to move ...

SPT Labtech, a global leader in the design and development of laboratory automation and liquid handling solutions, today ...

Fully automated “self-driving” process development labs are an attractive idea, but human expertise and oversight will always be needed.

The home lab is a strange love-hate relationship. At first, we love setting everything up, tinkering away with countless services, setting up hardware we'd only previously dreamt of owning. As time ...

Phenom, the leader in applied AI that helps organizations hire faster, develop better and retain talent longer, today announced an expanded AI & Automation Learning Lab will return to IAMPHENOM 2026, ...

Automation can offer labs a vast range of benefits, from improving productivity and accuracy to enabling researchers to focus on less menial tasks. Despite this potential, many labs are hesitant to ...

A crypto project called AI Labs (ticker: AIX) is building an AI-enabled platform that combines visual reasoning, narrative intelligence, and automated execution to help users interpret market data and ...

Granted by the United States Patent and Trademark Office, with extensions filed globally, the patent covers an approach that gives laboratories the ability to increase productivity for time and cost ...

The world’s labs are under pressure to do more tests and process more materials, not just due to COVID but from the growing biotech and drug development sectors — and automation is the sure path ...

Automation of repetitive tasks has long been one of the main pillars of industry. The increase in computational resources, machine learning, and robotic hardware in the last decades has now allowed to ...