AI, Machine & Deep Learning Track

 

Day 1 Artificial Intelligence, Machine & Deep Learning (Room Samarkand), Tuesday 7 June 2022

Hal Stern
09:05

How do you build a digital ecosystem with multiple participants which enables interoperability, achieves scale, and drives innovation?

  • Outlining the main drivers spearheading the digital transformation in R&D
  • Building an architecture both internally and alongside partners to foster collaboration and deploy advances across the value chain: from discovery to commercial
  • Designing a system which is impactful, intuitive, connected, and intelligent to then reveal new connections, drive better decisions, enabling and creating new approaches to discovery
Panel discussion
09:30

The concept ‘lab of the future’ is not new, so why does this vision elude us?

  • Increasing collaboration of all stakeholders and disciplines: instead of silos we needto build bridges to interact
  • Practically applying digitalization: we need to get to know the digital tools and possibilities available for scientists and we need to learn how to apply them for our lab of the future
  • Manage the change professionally: change causes resistant as a natural reaction, so we need to pay attention and action for professional change management
  • Do not try to define your lab of the future at the micro-level but establish a robust and flexible ecosystem, that can be adapted continuedly to your needs
Alain Vaucher
Day 1 Artificial Intelligence, Machine & Deep Learning (Room Samarkand)
11:25

Chairs opening remarks

Philipp Schmid
Day 1 Artificial Intelligence, Machine & Deep Learning (Room Samarkand)
11:30

Deepfake in the lab

  • Beyond robotics: automation with AI
  • From visual inspection to predictive quality
  • Synthetic data generation: the breakthrough for AI in the lab
Joeri van Wijngaarden
Day 1 Artificial Intelligence, Machine & Deep Learning (Room Samarkand)
12:00

CPV of the Future: An Experimental Use-case of AI to Automate Control for a Biotech Process

Arkadij Kummer
Day 1 Artificial Intelligence, Machine & Deep Learning (Room Samarkand)
12:30

How an automated, adaptive compute environment helps us accelerate science & AI

Alain Vaucher
Day 1 Artificial Intelligence, Machine & Deep Learning (Room Samarkand)
13:55

Chairs opening remarks

Werngard Czechtizky
Day 1 Artificial Intelligence, Machine & Deep Learning (Room Samarkand)
14:00

AI, Digital & Automation in Drug Discovery

  • Leading AI approaches along the pharma value chain
  • AI & increased delivery in drug discovery projects
  • Digitalized labs & automated DMTA cycles
Marie-Therese Schermeyer
Day 1 Artificial Intelligence, Machine & Deep Learning (Room Samarkand)
14:30

Closed Loop Bioprocess Development

Kim Jelfs
Day 1 Artificial Intelligence, Machine & Deep Learning (Room Samarkand)
15:00

Remembering the lab in computational material discovery

Samantha Kanza
Day 1 Artificial Intelligence, Machine & Deep Learning (Room Samarkand)
15:30

AI for Science Discovery Network - opportunities for collaboration

Alain Vaucher
Day 1 Artificial Intelligence, Machine & Deep Learning (Room Samarkand)
16:25

Chairs opening remarks

Panel discussion
Day 1 Artificial Intelligence, Machine & Deep Learning (Room Samarkand)
16:30

Atinary SDLabs: ML software solutions and self-driving labs to accelerate R&D today

Hermann Tribukait, Co-Founder & Chief Executive Officer, Atinary Technologies
Loïc Roch, Co-founder And Chief Technology Officer, Atinary Technologies Inc.
Zisis Kozlakidis
Day 1 Artificial Intelligence, Machine & Deep Learning (Room Samarkand)
17:00

Social Acceptance of AI and digitizing ethics

  • Social acceptance of innovations, such as AI, is a critical component for the overall acceptance and integration into routine operations
  • Outlining the components required to achieved social acceptance and how these interact with each other
  • Can we integrate algorithms as part of IRBs and Data Access Committees? Presenting the opportunities and barriers of this approach.
  • Discussing the transferability of such approaches across different resource settings and global regions.
Rob Howes
17:30

Building the Lab of the Future during a pandemic

  • Challenges and opportunities presented throughout the pandemic
  • Fostering a culture of collaborations across competitors towards a common goal
  • Did we apply the principles of the lab of the future when creating the mega-lab?
Baschi Dürr
18:45

uptown Basel - drinks reception

last published: 20/May/22 13:25