KAUST ·
Dominique Sciamma, Managing Director at Strate School of Design in France, gave a presentation at KAUST during Enrichment in the Fall of 2017. The title of the presentation was "From Descartes to Morin." The event was held at King Abdullah University of Science and Technology. Why it matters: While the event is dated, KAUST's ongoing enrichment programs contribute to fostering a culture of innovation and knowledge exchange in Saudi Arabia.
KAUST ·
Dr. Eric Fossum, professor at Dartmouth and inventor of CMOS active pixel image sensors, spoke at KAUST's 2017 Enrichment in the Spring Program. The lecture focused on how to be a successful scientist-entrepreneur. He received a gift from the KAUST Enrichment Programs team. Why it matters: This highlights KAUST's efforts to engage with leading international experts to foster innovation and entrepreneurship among its researchers and students.
MBZUAI ·
Kimon Fountoulakis from the University of Waterloo presented a talk on machine learning on graphs, covering node classification and algorithmic reasoning. The talk discussed the limitations and strengths of graph neural networks (GNNs). It also covered novel optimal architectures for node classification and the ability of looped GNNs to execute classical algorithms. Why it matters: Understanding GNN capabilities is crucial for advancing AI applications in areas like recommendation systems and drug discovery that rely on relational data.
KAUST ·
Dr. Martin Fischer, head of the design team for Groupama Team France, spoke at KAUST as part of the Winter Enrichment Program (WEP). His keynote lecture focused on engineering design principles exemplified by the America's Cup challenge. The event took place on January 17th at KAUST. Why it matters: Such events help promote STEM fields and expose students to real-world engineering challenges.
MBZUAI ·
Pascal Fua from EPFL gave a talk at MBZUAI on physics-based deep learning for medical imaging. The talk covered how self-supervision and knowledge of human anatomy and physics can improve deep learning algorithms when training data is limited. Applications discussed included endoscopic heart surgery, colonoscopy, and intubation. Why it matters: This highlights the growing importance of domain knowledge and self-supervision in overcoming data scarcity challenges for AI in healthcare applications within the region.
MBZUAI ·
This talk discusses the asymptotic study of large asymmetric spiked tensor models. It explores connections between these models and equivalent random matrices constructed through contractions of the original tensor. Mohamed El Amine Seddik, currently a senior researcher at TII in Abu Dhabi, presented the work. Why it matters: The research provides theoretical foundations relevant to machine learning algorithms that leverage low-rank tensor structures, potentially impacting AI research and applications in the region.
TII ·
Prof. Simon Gröblacher from Delft University of Technology presented a seminar on using mechanical systems in quantum information processing, focusing on their potential as quantum memories and transducers. The seminar highlighted experiments demonstrating non-classical behavior of mechanical motion by coupling a micro-fabricated acoustic resonator to single optical photons. Quantum control over acoustic motion was established, including the generation and readout of single phononic excitations, along with light-matter entanglement. Why it matters: This research advances the use of micro-fabricated acoustic resonators for quantum information processing and fundamental tests of quantum physics.
MBZUAI ·
MBZUAI board member Kai-Fu Lee will give a talk on December 16 about his book "AI 2041: Ten Visions for Our Future," discussing AI's transformative impact. The talk will cover AI's potential to revolutionize industries, improve well-being, and create new forms of interaction and entertainment. Lee will also address the limitations and potential perils of AI, such as privacy and security concerns. Why it matters: The lecture provides insights into the future of AI from a leading expert, highlighting both the opportunities and challenges for the field and its impact on society.