Rise of the Machines: Robotics and AI Spark a Lab Evolution

Tuesday, April 24, 11:10 - 12:00 PM

The modern research laboratory is evolving to include technologies that weren’t conceivable just a few years ago. As the business costs associated with research continue to rise along with the costs for construction, organizations are exploring new ways to push the limits of their available budgets. This presentation will feature a detailed explanation of strategies imagined by leading life science companies to incorporate robotics, artificial intelligence (AI) and machine learning into their research environments.

Attendees will take away a better understanding of how companies are starting to incorporate emerging technologies into an environment that has long been considered slow to evolve. Much like how we use applications for increased productivity, leading life science companies are beginning to look at how their operational efficiencies can be strengthened by the use of these emerging technologies.

There is also a desire to explore robotics and AI as a means to create a more efficient lab space. Can these technologies save space in the lab? Can they allow for the elimination of top flight research talent performing mundane tasks? Can machine learning save time, effort and resources?

How can these technologies be implemented in laboratory environments to help save researchers time and save program managers money with more effective space typologies?

This session will feature the results of a survey shared with numerous leading life science companies including Bayer, Biogen, Pfizer, Humacyte, Syngenta, Bluebird Bio, Medicago and others to help to answer some of these questions. Participants will be educated on the emerging use of robotics, artificial intelligence and machine learning in research laboratories and will be able to share this information with their clients.

Attendees will:

• Gain an introduction to robotics, AI and machine learning.

• Learn how these technologies are being used in research lab environments.

• Understand how these technologies can increase planning and operational efficiencies.

• Learn about survey data from leading life science companies.

AIA LU Credit: 1