Big Data and Artificial Intelligence have nowadays a huge impact in almost all scientific disciplines and, more in general, to our society.
Many are claiming that data is the “new oil”, and the data-driven / machine-learning paradigm is changing how we address many different problems. Self-driving cars, robot caregivers and chatbot platforms are really happening, while they were only popular sci-fi topics until a few years ago. Deep Neural Network architectures – trained on very large datasets (e.g. ImageNet) onto fast dedicated hardware (e.g. GPUs) – are the most popular approach and the main reason why machines can now recognize objects in an image, and translate speech in real time.
However, despite the impressive achievements of these technologies, big data and AI are often used and referred as to “black boxes”. The aim of this lecture is to introduce the key concepts that have led to the recent success of these techniques, to highlight what are the main challenges and open problems, thus trying to unveil what’s in the box.
Speaker: Lamberto Ballan
When: 9 November 2018, 12.30
Where: Aula Rostagni, Physics and Astronomy Dept., Via Paolotti 9, 35131, Padova
Check out the video of the presentation!
Here the slide with references: