dAIEDGE will participate in the upcoming HiPEAC Conference, one of the most prestigious European platforms for technological debate and advancement, which will take place next week, from 20-22 January 2025 in Barcelona (Spain).
Workshops organised by dAIEDGE
- Workshop Excellence in AI and Edge Computing, which will be held on Monday, 20 January, from 10:00 to 17:30
The convergence of AI and edge computing represents a new era of technological advances, where the immediacy of data processing and the sophistication of AI algorithms lead to new products and services. Industries are rapidly adopting edge AI applications to streamline costs, automate complex processes, enhance decision-making capabilities, and refine operational efficiency. These applications are not just theoretical constructs; they are real-world solutions that are reshaping industries.
This workshop is dedicated to exploring the frontiers of the AI and edge computing synergy, focusing on the development of scalable and robust AI systems. In order to make the workshop more interactive and lively, there will be a matchmaking session and a demo session. In the latter, participants will be able to show live demos, either on-site or with a video, of their research and results. Participants in any session will be automatically invited to participate in and benefit from dAIEdge’s network of excellence.
- Workshop on Accelerated Machine Learning (AccML), which will be held on Tuesday, 21 January, from 10:00 to 17:30
The remarkable performance achieved in a variety of application areas (natural language processing, computer vision, games, etc.) has led to the emergence of heterogeneous architectures to accelerate machine learning workloads. In parallel, production deployment, model complexity and diversity pushed for higher productivity systems, more powerful programming abstractions, software and system architectures, dedicated runtime systems and numerical libraries, deployment and analysis tools. Deep learning models are generally memory and computationally intensive, for both training and inference. Accelerating these operations has obvious advantages, first by reducing the energy consumption (e.g. in data centers), and secondly, making these models usable on smaller devices at the edge of the Internet. In addition, while convolutional neural networks have motivated much of this effort, numerous applications and models involve a wider variety of operations, network architectures, and data processing. These applications and models permanently challenge computer architecture, the system stack, and programming abstractions.
The workshop brings together researchers and practitioners working on computing systems for machine learning, and using machine learning to build better computing systems. It also reaches out to a wider community interested in this rapidly growing area, to raise awareness of the existing efforts, to foster collaboration and the free exchange of ideas.
Come and meet us at our stand!
In addition to the workshops, during the three days of the event we will be present at stand 23, where attendees will be able to learn in detail about our projects and use cases, discover how we are positioning Europe as a world leader in the data economy, and interact directly with us.