Europe Neuromorphic Chip Market Trends

Market Trends of Europe Neuromorphic Chip Industry

AI-based Chips are Expected to Drive the Market Growth

• Artificial Intelligence (AI) is witnessing significant corporate investment, and the chips market is receiving increasing interest and attention. End-users have already adopted many applications, and numerous emerging applications are expected to happen in the short term.
• AI accelerators are leading the region because of the computing limitations of CPUs. Available AI accelerators are GPUs, Application-Specific Integrated Circuits (ASICs), and Field-Programmable Gate Arrays (FPGAs). GPUs have many parallel processing cores, which gives them a significant advantage for processing AI training and inference.
• Neuromorphic chips are poised to be the prominent option concerning parallelism, energy efficiency, and performance. They can handle both AI inference and training in real time. Moreover, edge training is possible through neuromorphic chips. However, learning methodologies should improve their accuracy.
• Neuromorphic hardware is transferring out of the studies lab with a convergence of pursuits and desires from the sensing, computing, and reminiscence fields. Joint ventures are being formed, and decade-length investigation tasks, including the European Union's Human Brain, are being launched.
• Neuromorphic recognition and computation can solve many of AI's current problems while opening up new applications for decades. With an ecosystem of research and innovation, Europe is well-positioned to advance a culture of science and capitalize on technological opportunities.

United Kingdom to record growth in Neuromorphic Chips

• The European region, mainly the United Kingdom, is also expected to witness growth in neuromorphic chips due to government projects, investments from vendors, etc. Several long-term research projects are attracting collaborations for advancements in neuromorphic technology. Also, Italy, Germany, France, Portugal, and other countries are focusing on improving the growth of neuromorphic chips in various business areas.
• Also, the NeurONN research project funded by H2020's EU research and innovation program with a core subject, "Energy-efficient bio-inspired devices accelerate the route to brain-like computing," brought together some prominent European research and academic institutions. The project is planned for 36 months (January 2020 - December 2022).
• Local vendors in the region also focus on developing neuromorphic chips through funding from various venture capitalists in the market. Such investments are expected to shape the market in terms of innovation.
• Further, the United Kingdom's Advanced Processor Technologies Group at the University of Manchester runs on a low-grade supercomputer called SpiNNaker. It stands for Spiking Neural Network Architecture. It is assumed to stimulate so-called cortical microcircuits, subsequently the human mind cortex, and assist us in recognizing complicated illnesses like Alzheimer's.
• A study by Chip AI and Strathclyde University in the United Kingdom found that the ability to process large amounts of data in today's data-driven world is critical. Critical tasks such as pattern recognition and image classification are well suited for artificial neural networks (ANN). They are inspired by neuromorphic computing approaches that target the physical implementation of brains and ANNs.