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The Groundbreaking 26th International Conference on Neural Information Processing in Sydney, NSW, Australia

Are you passionate about the burgeoning field of neural information processing? Do you want to keep up with the latest advancements in artificial intelligence and machine learning? Then mark your calendars for the remarkable 26th International Conference on Neural Information Processing (ICONIP) taking place in Sydney, NSW, Australia from December 12th to 15th, 2019.
ICONIP has established itself as a leading conference in the field of neural information processing, bringing together researchers, practitioners, and industry experts from all around the world. With an exceptional program packed with insightful keynote speeches, cutting-edge research presentations, and engaging workshops, ICONIP 2019 promises to be an event of unparalleled knowledge dissemination and networking opportunities.
Why Attend ICONIP 2019?
ICONIP 2019 offers a unique platform for researchers and practitioners to exchange ideas, collaborate, and discuss the latest breakthroughs in neural networks, deep learning, and related fields. Here are some compelling reasons why attending this conference should be at the top of your list:
4.4 out of 5
| Language | : | French |
| File size | : | 3599 KB |
| Text-to-Speech | : | Enabled |
| Screen Reader | : | Supported |
| Enhanced typesetting | : | Enabled |
| Print length | : | 1045 pages |
1. Unrivaled Learning Opportunities
ICONIP 2019 boasts an impressive lineup of keynote speakers who are recognized authorities in the field of neural information processing. These experts will share their valuable insights, discuss trends, and shed light on the future of AI and machine learning. You'll have the chance to learn from the best and gain a deeper understanding of the latest research and developments.
2. Cutting-edge Research Presentations
With a rigorous paper submission and review process, ICONIP 2019 ensures that only the most groundbreaking and relevant research makes it to the conference. Attending the conference will give you an exclusive opportunity to witness firsthand the unveiling of revolutionary ideas and technological advancements that will shape the future of neural information processing.
3. Interactive Workshops
ICONIP 2019 offers a selection of hands-on workshops conducted by leading experts in the field. These workshops provide a platform to delve deep into specific topics, gain practical skills, and engage in meaningful discussions with like-minded professionals. Whether you're new to the field or an experienced researcher, these workshops will undoubtedly enhance your expertise.
4. Networking with Industry Leaders
Attending ICONIP 2019 opens doors to valuable networking opportunities with renowned researchers, industry experts, and fellow enthusiasts. Engaging in discussions and sharing ideas with experts from academia and industry can lead to collaborations, mentorships, and potential career advancements. Don't miss the chance to expand your professional network and create lasting connections.
ICONIP 2019 in Sydney
Sydney, the vibrant capital of New South Wales, Australia, serves as the backdrop for ICONIP 2019. Known for its picturesque landscapes, iconic landmarks, and thriving tech scene, Sydney offers attendees a captivating experience both inside and outside the conference halls.
The conference venue itself is strategically located in the heart of the city, making it easily accessible to international and local attendees. Sydney's world-class infrastructure, modern facilities, and renowned hospitality ensure that your stay during the conference will be comfortable and enjoyable.
Additionally, Sydney's multiculturalism and diversity create a lively atmosphere that fosters unique cultural exchanges and experiences. With a plethora of dining options, shopping districts, and tourist attractions, ICONIP 2019 offers the perfect opportunity to explore the city and immerse yourself in its rich heritage.
Registration and Important Dates
To secure your spot at ICONIP 2019, make sure to register early and take advantage of the discounted early bird rates. The registration process is straightforward and can be completed online through the conference website. Be sure to mark the following important dates:
- Early Bird Registration Deadline: November 1st, 2019
- Regular Registration Deadline: November 30th, 2019
- Conference Dates: December 12th to 15th, 2019
Don't miss out on this valuable opportunity to be a part of the groundbreaking 26th International Conference on Neural Information Processing. Register now to secure your spot and expand your knowledge in this exciting field.
ICONIP 2019 in Sydney, NSW, Australia promises to be an event of unmatched innovative ideas, groundbreaking research, and invaluable networking opportunities. By attending this prestigious conference, you'll have the chance to learn from global experts, witness cutting-edge research presentations, engage in interactive workshops, and connect with industry leaders in the field of neural information processing.
Don't hesitate – be a part of ICONIP 2019 and stay at the forefront of the rapidly evolving field of artificial intelligence and machine learning. Register now and embark on a transformative journey towards unlocking the unlimited potential of neural information processing.
4.4 out of 5
| Language | : | French |
| File size | : | 3599 KB |
| Text-to-Speech | : | Enabled |
| Screen Reader | : | Supported |
| Enhanced typesetting | : | Enabled |
| Print length | : | 1045 pages |
The three-volume set of LNCS 11953, 11954, and 11955 constitutes the proceedings of the 26th International Conference on Neural Information Processing, ICONIP 2019, held in Sydney, Australia, in December 2019.
The 173 full papers presented were carefully reviewed and selected from 645 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The third volume, LNCS 11955, is organized in topical sections on semantic and graph based approaches; spiking neuron and related models; text computing using neural techniques; time-series and related models; and unsupervised neural models.

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