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Safety_Critical_Machine_Learning |
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New patents filed in
2025/2026
on applications and Machine
Learning platforms
using Neuromem®
technology
for an Accountable, Measurable and
Explainable AI
AMEN™ is not just an acronym, an advertising slogan, or anything
similar. AMEN™ is the goal of our research, the one we never lose sight of when
trying to solve real-life problems with AI. We work primarily in critical
sectors such as defense, aerospace, and biomedical,
and we know how important it is to be able to map human responsibility in an
AI-based decision-making system: measurability and explainability
are essential. Our research, conducted with these criteria, generates patents
optimized for startups and companies that want to
implement them: they are so detailed that they almost constitute a design
specification.
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Soldier Advanced Vision Extender
(SAVE-360™) SAVE-360™ is a non-invasive and
fully automated 360-degree vision system that can operate with automatic
vision technologies with very low energy consumption and long operational
autonomy. The system simultaneously provides only the essential data for spatial
understanding of dangerous situations. This patent is tailored for Neuromem® technology. |
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UNobtrusive
Observer (UNO™) UNO™ is a vision system for
monitoring risk situations at workstations that is fully compliant with
privacy regulations and proof against any attempt to access temporary
internal images. This patent is tailored for Neuromem®
technology. |
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Built-In In Air Reverberation Test (BI2ART™) BI2ART™ is a system for
monitoring the correct functioning of a USB ultrasound probe in the field
(hospitals, clinics, analysis laboratories) based on IAR (In Air
Reverberation) tests and fully integrated into the probe itself. It is the
first BIT (Built In Test) system for ultrasound probes. This patent is
tailored for Neuromem® technology. |
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MemorY To High Operational Speed (MYTHOS™) MYTHOS™ is a technology
developed to bridge the performance gap between shallow and deep networks.
This technology enables real-time operation with millions and even billions
of neural prototypes in an RBF neural classifier with Restricted Coulomb
Energy (RCE) learning. The MYTHOS™ patent is based on Neuromem®
technology and relates to the development of a machine learning hardware
platform based on multiple Neuromem®-based boards
(e.g., M2 boards). |
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HYper-Dimensional RecOrd
Generalization ENgine (HYDROGEN™) HYDROGEN™ is an extension
technology of MYTHOS™ that enables the machine learning platform to scale in
input size by concentrating multiple asynchronous and/or plesiochronous
data sources on a single neural classifier with real-time learning
capabilities. |
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General Synaptics Aerospace_and_Defence_Machine_Learning_Company VAT NUMBER:_IT02670700992 REA NUMBER: GE-503104 Email:_luca.marchese@synaptics.org |
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Copyright© 2026 General Synaptics |
