NeuroMem Technologies Pte Ltd, a pattern recognition technology company focused on the use and benefits of neuromorphic semiconductor components, has announced the dates for its first Artificial Intelligence training course based on its NeuroMem® technologies. The course will be conducted at Nanyang Polytechnic in Singapore on 9 & 10 October 2017.

The course, first in a series of courses the company plans to host regularly, will offer insights and tools to its ecosystem of academics, research agencies, potential clients and solutions partners across the globe. It will feature a combination of formal presentations and demonstrations as well as hand-on exercises using software and hardware supplied by the pioneers of neuromorphic technology, Guy Paillet and Anne Menendez.

Pierre Brunswick, Chairman of NeuroMem, said, “We understand the high value proposition offered by NeuroMem’s pattern learning and recognition technology and its ability to deploy edge intelligence in a practical way. This is our way of enabling our partners and academics to understand the technology better and to help guide them to make the most of this technology in their applications. We are privileged to have Guy and Ann join us to share their vision and their expertise.”

NeuroMem’s neuromorphic technology will demonstrate its pattern learning and recognition technology during the course with in-situ and on-the-go learning, high-speed and reactive matching at low-power. The course will also offer the opportunity to help the community understand the high value proposition of NeuroMem for data analytics across multiple sources such as streaming data, sound and audio files, images and movies files, and how it can reduce the contribution of GPUs and CPUs towards global warming by being dedicated to low-power in-storage pattern recognition.

Other topics covered in the course include:

  • Understand the concept of knowledge builder applications and their importance for a user-friendly deployment of application and the portability and sustainability of knowledges built with NeuroMem technology
  • Methodology to design and deploy a NeuroMem Smart system, software and hardware considerations, selection of the proper features to model the necessary decision space, dealing with compromises between performances such as speed, accuracy and throughput, etc.

Calvin Ng, Director of Licensing at Neuromem, added, “This course is aimed at business development managers who want to understand the value proposition of NeuroMem technologies, OEM, System integrators seeking a competitive advantage for their line of products and services and Software and hardware engineers who want to understand how to deploy applications and systems quickly and efficiently.”

To find out more on the course or to register, visit http://neuromem.ai/neuromem-ai-training-course/.

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