Keynote speaker (academy)
Intelligence and Computation
Edward A. Lee, Professor in Electrical Engineering and Computer Sciences, EECS Department, University of California, Berkeley
While compelling, the analogy that many people draw between human intelligence and software is problematic. Recent dramatic advances in machine learning seem to have strengthened the analogy, but this could be misleading. Are we fundamentally the same as computer programs, just running on different hardware? In this talk, I will examine a number of points where the analogy breaks down. First, human cognition may be firmly rooted in our embodiment, stemming from the interaction between the brain, the body, and the environment, rather than emerging from the brain processes alone. Moreover, some properties of cognition appear to not be representable digitally and may require fundamentally first-person interaction rather than Turing-Church computation.
Fundamentally, the digital and algorithmic nature of software is a limitation not shared by the hardware of human brains and bodies, and it is quite possible that digital technology will evolve more in complementary rather than competitive ways.
Keynote speaker (industry)
Digitalization and AI in support of Value Based Care
Henk van Houten, CTO and Head of Research for Royal Philips
Healthcare costs are exploding, medical staff are overburdened, and patients live longer with (multiple) chronic conditions. These are just a few of the many challenges healthcare systems across the globe are facing. Philips has adopted the quadruple aim as its yardstick for innovations which seek to alleviate these challenges. This approach ensures that we measure our innovation in terms of the impact on improving clinical outcomes, reducing cost, and enhancing the patient and staff experience.
Digitalization is a key enabler for solutions addressing the quadruple aim. Adoption of (hybrid) Cloud platforms and the Internet of Things is unlocking data at an unprecedented scale. Making sense of all this data calls for smart algorithms, and tailored deployment platforms embedded in the workflow of the healthcare professionals. Artificial Intelligence has the potential to play an important role in this. Philips positions AI as Adaptive Intelligence – technology that adapts to people in their daily context and augments their capabilities. Combining data-based adaptation with anatomical and biological science captured in models of organs, like the heart, is a powerful way to support precision diagnosis and image guided therapy. Such models can also be used to connect the dots across the health continuum, ultimately evolving into a digital twin of the patient. This we believe will be a powerful complement of electronic medical records, and a key ingredient in seamless delivery of collaborative care.
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