Whilst I still feel we are leading the pack in the development of the neuromorphic advances, we also still need to accept that there is a "pack" chasing and chasing harder as time rolls by and the greater realisation of how beneficial this tech will be once scaled up and implemented more.
As others have said and no doubt some privately have similar thoughts, BRN does need to start getting some tangible wins on the board.
Don't need explosive, just consistent.
I know they are working hard at it and I know some matters are still locked up behind closed doors unfortunately for SH's however, the financials do need to start revealing "some" incremental growth.
We are not really a big fish in a small pond anymore as neuromorphic research and developments gather speed but just a fish in an ever expanding pond now.
I do trust that we are heavily engaged and part of the Dev cycles of some of our ecosystems partners and products will start to be released but some of the other players out there are justifiably large with much larger resources and funds to accelerate.
As we know, just do a search on neuromorphic and how many hits come up on research, new developers, existing competitors, consortiums as so on.
It does get frustrating seeing various claims of others in the field, companies, Govt supported consortiums or researchers, of breakthroughs and blah blah when we are already at the pointy end.
Speaking of SK as an example.
Recent article with...
Professor Park Hui-joon of the Department of Organic and Nano Engineering
The neuromorphic computing system, where data storage and processing coincide, is emerging as a next-generation processing-in-memory (PIM) artificial intelligence (AI) semiconductor technology that overcomes the computational limitations of existing computers. We explore the evolution and vision of
www.newshyu.com
Excerpt.
Securing Global Dominance in AI Semiconductor Technology
Research on neuromorphic computing technology, which is gaining attention as the next-generation AI semiconductor, is actively underway worldwide. IBM developed the neuromorphic chip “TrueNorth” with 2.65 billion synapses in 2014, and Qualcomm unveiled the “Zeroth” processing device that learns like the brain in 2013. Intel also unveiled neuromorphic chips “Loihi” and “Loihi2” in 2017 and 2021, respectively.
In South Korea, the government is leading the “K-Semiconductor Belt” project in collaboration with the private sector to build the world’s largest semiconductor supply chain in the country by 2030. One of the core areas of the K-semiconductor revolves around next-generation intelligent semiconductors or AI semiconductors. Started in 2020, projects for developing next-generation smart semiconductor technology and core technology development for PIM AI semiconductors are underway, with an investment of KRW 1.5 trillion spanning over 10 years. Despite these efforts, the achievements of domestic companies remain insufficient. Professor Park Hui-joon’s laboratory assumes a leading role in the PIM AI semiconductor core technology development project. They plan to expand their ongoing technical collaboration with Samsung Electronics in the image sensor field to encompass the AI semiconductor field. They plan to support domestic companies securing global leadership in neuromorphic computing technology through consistent collaboration with the government and industry.
“System semiconductors account for about 60% of its global market, worth approximately KRW 500 trillion. Unlike the memory sector, where we maintain a dominant global position with a market share of over 60%, the domestic companies’ market share in the system semiconductor market lags at 3%, requiring significant effort. Although domestic companies develop AI-specialized semiconductors, they are yet to be in the lead in the global market. Through continuous research, I would like to promote industry-academic collaborations with Samsung Electronics and SK Hynix and play a pivotal role in making South Korea the world’s best in the AI semiconductor field.””
A Euro player example.
Sept. 1, 2023 — They could be the key to meeting the growing appetite for energy of artificial intelligence (AI): neuro-inspired computer chips modeled on the human brain. Researchers at […]
www.hpcwire.com
Excerpt...
The actual goal of the project, which is to implement the first neuromorphic demo chips for practical applications, is also becoming more and more achievable. “We have already conducted extensive experiments with chips based on 180-nm semiconductor technology, and have made minor, yet important, progress. For example, we are investigating how reliably these new types of components can be manufactured using CMOS technology, or whether they still work without errors after many switching cycles,” says Prof. Rainer Waser.
The first designs based on the more modern 28-nm technology went into production in Taiwan at the end of May. After further processing and assembly with memristive elements from Jülich-Aachen research, they will soon be tested with the first real applications, for example with procedures for route optimization, computer virus searches in the data stream, or artificial neural networks at hardware level for deep learning.
In addition, researchers from RWTH Aachen University and Forschungszentrum Jülich are collaborating with companies in the region as part of the NeuroSys cluster to tap into further market and application potential.
“Neuromorphic computing will open up a variety of possibilities for using energy-efficient AI applications in speech, image, and video processing, as well as medicine. RWTH Aachen University is also thinking on a large scale here and offers its wealth of experience regarding the translation of research findings. Together with associations such as the Aachen Chamber of Industry and Commerce and Zukunftsagentur Rheinisches Revier, various scenarios are being explored for the further development of our innovation ecosystem, right up to the establishment of a factory for computer chips ‘made in NRW’,” explained Prof. Ulrich Rüdiger, rector of RWTH Aachen University.
