The future of drug discovery and AI – the role of man and machine — from techemergence.com by  Ayn de Jesus

Excerpt:

Episode Summary: This week on AI in Industry, we speak with Amir Saffari, Senior Vice President of AI at BenevolentAI, a London-based pharmaceutical company that uses machine learning to find new uses for existing drugs and new treatments for diseases.

In speaking with him, we aim to learn two things:

  • How will machine learning play a role in the phases of drug discovery, from generating hypotheses to clinical trials?
  • In the future, what are the roles of man and machine in drug discovery? What processes will machines automate and potentially do better than humans in this field?

 

A few other articles caught my eye as well:

  • This little robot swims through pipes and finds out if they’re leaking — from fastcompany.com by Adele Peters
    Lighthouse, U.S. winner of the James Dyson Award, looks like a badminton birdie and detects the suction of water leaving pipes–which is a lot of water that we could put to better use.
    .
  • Samsung’s New York AI center will focus on robotics — from engadget.com by Saqib Shah
    NYU’s AI Now Institute is close-by and Samsung is keen for academic input.
    Excerpt:
    Samsung now has an artificial intelligence center in New York City — its third in North America and sixth in total — with an eye on robotics; a first for the company. It opened in Chelsea, Manhattan on Friday, walking distance from NYU (home to its own AI lab) boosting Samsung’s hopes for an academic collaboration.
    .
  • Business schools bridge the artificial intelligence skills gap — from swisscognitive.ch
    Excerpt:
    Business schools such as Kellogg, Insead and MIT Sloan have introduced courses on AI over the past two years, but Smith is the first to offer a full programme where students delve deep into machine learning.
    …
    “Technologists can tell you all about the technology but usually not what kind of business problems it can solve,” Carlsson says. With business leaders, he adds, it is the other way round — they have plenty of ideas about how to improve their company but little way of knowing what the new technology can achieve. “The foundational skills businesses need to hack the potential of AI is the understanding of what problems the tech is actually good at solving,” he says.