ICLR2025 | Abaka AI Awaits You in Singapore

The ICLR, which stands for the International Conference on Learning Representations, is one of the premier international conferences in the field of deep learning. It enjoys a global reputation for showcasing and publishing cutting-edge research in deep learning within the fields of artificial intelligence, statistics, and data science. The conference covers important application areas such as computer vision, computational biology, speech recognition, natural language processing, gaming, and robotics.

As one of the fastest-growing artificial intelligence conferences globally, ICLR attracts a diverse group of participants, including researchers from academia and industry, entrepreneurs, engineers, graduate students, and postdoctoral fellows. The rapidly evolving field of deep learning focuses on how to optimally learn meaningful and effective representations from data. ICLR provides a broad perspective on many topics in this field, including feature learning, metric learning, compositional modeling, structured prediction, reinforcement learning, as well as large-scale learning and non-convex optimization.

From April 24th to 28th, Abaka AI will showcase its advanced intelligent data engineering platform and high-quality datasets, which currently meet the demands of over a dozen artificial intelligence application scenarios, including Automobile AI, Generative AI, and Embodied AI. We have provided high-quality and efficient data solutions for thousands of enterprises. In addition, we will connect with top global AI companies, scholars, and universities to explore the latest trends and innovative applications in the field of artificial intelligence and build a bridge for the integration of industry, academia, and research.

Starting from April 24th, we will be exhibiting at booth #H06. We warmly welcome you to join us to discuss the latest industry developments, research achievements, and market trends in artificial intelligence, and to promote innovation and development in the AI sector.