Collaboration
Our research team is open to collaboration on various aspects of the creation and real-world application of neuromorphic AI.
The following areas of research are of particular interest to us:
Research areas:

New cognitive architectures
Developing novel cognitive architectures based on spiking and neuro-semantic networks, as well as local learning mechanisms using synaptic plasticity. These architectures significantly enhance AI capabilities in areas such as:
Long contextual memory
Continual learning
Environment perception and interaction
Building and manipulating abstractions
Risk assessment
Motivation and goal-setting
Long-term forecasting and planning
Kaspersky Neuromorphic Platform
Advancing the functionality of the Kaspersky Neuromorphic Platform as a unified tool for the complete lifecycle of neuromorphic AI solution development, encompassing conceptualization, implementation, and on-device testing.
Neuromorphic AI for IoT and edge applications
Developing and training neural network models and algorithms for execution on neuromorphic processors in edge devices, with an emphasis on energy efficiency and high performance.
Hybrid AI
Developing hybrid AI systems that combine classic AI (standard and deep machine learning algorithms) with neuromorphic approaches to boost efficiency in solving complex tasks.
Neuromorphic AI and security
Developing neuromorphic AI methods and algorithms to counter various types of attacks on AI systems.
Pilot projects for neuromorphic AI application
Conducting pilot projects to demonstrate capabilities and evaluate the performance potential of neuromorphic solutions in specific domains (including but not limited to the examples below):
Internet of Things (IoT)
Self-powered industrial devices, including intelligent modules for a wide range of legacy instruments and sensors without AI capabilities
Robotics
Automotive: ADAS and HAD (monitoring high-dynamic road events, situational awareness, energy-autonomous in-cabin monitoring)
Smart home intelligent components
Wearables, including medical devices
Human-machine interfaces, including AR/VR, voice assistants, smart clothing, always-on event detectors.
Contact
To discuss collaboration opportunities, please email us at neuro@kaspersky.com,
or use the contact form below