Desarrollo de demostradores y aplicaciones neuromórficas

A Dutch research centre specialising in neuromorphic computing is seeking partners to co-develop and test new demonstrators in e.g. health monitoring, mobility, intelligent sensing, and digital infrastructure. The goal is to prove how neuromorphic computing can enable faster, more adaptive, and energy-efficient data processing. Cooperation is sought through research and technical collaboration agreements with both technology providers and organisations bringing in real-world use cases.

Dutch research institute seeks European partners for co-development of neuromorphic demonstrators and applications

Based in the Netherlands, the research institute focuses on neuromorphic computing, a new computing paradigm inspired by the way the brain works. The institute, affiliated with a large public university, brings together expertise from multiple domains, including mathematics, physics, materials science, computer science, artificial intelligence, electrical engineering, and robotics. The team works across all levels of the technological stack, from materials and components to chips, algorithms, and applications. Neuromorphic computing represents a novel approach to both hardware and algorithms, applying principles derived from brain functionality to achieve highly efficient computational systems. The institute aims to build systems that apply one or more brain-inspired mechanisms that make biological cognition remarkably efficient. The human brain’s efficiency, estimated to be up to 10,000 times greater than current computing systems, arises from several core principles. For instance, the brain processes information in a massively parallel manner, enabled by the dense interconnection of neurons (through synapses) and the close integration of memory and computation. These characteristics allow for substantial reductions in energy consumption. As an emerging field, neuromorphic computing requires collaboration across various technological layers — from materials and chip design to algorithms and real-world applications — to transition from laboratory concepts to practical use. The research centre is seeking partners who can contribute to this ambition through collaboration in a pre-competitive research setting. Specifically, the institute is interested in working with partners who can provide: • Specific technologies, such as sensors, low-power electronics, edge computing solutions, or embedded artificial intelligence; • Practical use cases in sectors such as health, mobility, sensing, or infrastructure, where local, adaptive computing could deliver tangible impact. The objective is to jointly explore, design, and validate neuromorphic technologies, demonstrating their feasibility in real applications while integrating end-user requirements early in the design process. Advantages and innovation • Unique multidisciplinary stack: from cognitive/self-learning materials (e.g., novel ferro- and piezo-electric oxides) to neuromorphic circuits and systems. This enables end-to-end innovation rather than isolated component development. • Ambitious energy­-efficiency goals: The centre targets chips/systems that are up to 10,000× more energy efficient than traditional processors. • Strong ecosystem and track record: CogniGron already participates in Horizon and MSCA projects and has established collaborations with industry. • Translation-oriented: Their approach explicitly aims at demonstrators and applications (edge AI, robotics, sensors) rather than pure theory — increasing attractiveness for industrial uptake. • Strategic national importance: Neuromorphic computing is a recognised national priority in the Netherlands, giving credibility and potential access to public funding and infrastructure. Technical Specification or Expertise Sought 1. Technology or solution providers with expertise in areas such as materials science, device physics, in-memory or mixed-signal circuit design, sensor and edge computing hardware, neuromorphic algorithms, or system integration. These partners can contribute building blocks for the development and integration of neuromorphic demonstrators. 2. End-user partners from sectors such as healthcare, mobility, robotics, or digital infrastructure who can define relevant use cases, provide real-world data or operating environments, and help validate prototypes under realistic conditions.