The past few decades has seen continuous progress in machine learning. But are you happy abut the progress? Do you want to continue like this? What do you think its future will look like?
The panel discussion will start with a brief overview of machine learning given by Prof. Stephen Muggleton. We will then hear from our panellists about their views on their sub-area: “How a particular sub-area has been progressing?”, “What are the main challenges and bottlenecks of that sub-area?”, “What are the interaction among various sub-areas within machine learning?”. Along the progress of machine learning techniques, their potential applications in the many fields of computer science including software engineering are still being unfold. For those of you who do not work on machine learning, you may still be interested to see whether machine learning techniques can be potentially applied to your area. After hearing opinions from panellists, we will open the discussions to audiences and encourage you to ask questions to our panellists. We are looking forward to hear your opinions.
- Stephen Muggleton (Inductive Logic Programming: Logic-based Machine Learning)
- Aldo Faisal (Biological and Computational Learning)
- Alessandra Russo (Applying Machine Learning techniques to Software Engineering)
- Daniel Roy (Statistical Machine Learning)
- Artur Garcez (Neural-Symbolic Computation)
The last decade has seen the emergence of new hardware platforms, ranging from multicore processors to large-scale data centers, which provide an abundance of computational resources and a high degree of parallelism. These platforms already benefit applications with a great amount of inherent concurrency, through data-processing systems such as MapReduce. One can view these technologies as forming levels within a new, global computing platform. At the same time, we see a radical growth of mobile platforms and pervasive computing. According to some estimates, there should 1 billion mobile devices connected to the internet by 2013. In few years time, the number of mobile devices connected to the internet outnumbers the number of connected computers.
How will this evolution change the face of software engineering? Will the existing software development approaches cope with the changing requirements or do we need an entirely new ideas? Will the concept of desktop computer survives this decade? Is this the fall of the PC? You will have a chance to discuss all these questions with researchers and engineers from Google, company which already changed the face of computing. We also encourage you to come up and ask you own questions. We look forward to hear you opinion.