Kaspersky invests in the development of neuromorphic processors – Back End News

In a bid to create new opportunities for machine learning-based solutions, cybersecurity firm Kaspersky now owns a 15% stake in Motive Neuromorphic Technologies (Motive NT), a company specializing in neuromorphic computing technologies.

“The application area of ​​neuromorphic processors is hardware acceleration used in the latest generation of artificial intelligence systems, which are based on the training of spiked neural networks (SNNs),” said Alexey Romanov, CEO of Motive NT, in a press release. “This approach is more akin to biological interactions – where traditionally artificial neural networks (ANNs) exchange numbers – neuromorphic processors allow them to function like biological neurons, communicating through spikes.”

In 2019, Kaspersky entered into a cooperation agreement with Motive NT, joining it in the development of the Altai neuromorphic processor, which accelerates the hardware of systems using machine learning. During this partnership, the companies’ specialists together produced their first batch of neuromorphic processors, developed a software package for them, and successfully confirmed their performance on speed and energy efficiency measurements through experimentation.

RDP attacks in SEA increased by 149% in 2021 — Kaspersky
Kaspersky unveils hub for stalkerware detection tools

“According to various estimates, the market for neuromorphic chips could exceed $7.5 billion by 2025,” said Andrey Doukhvalov, vice president, Future Technologies at Kaspersky. “Our investment in Motive NT and our role as a shareholder underscores Kaspersky’s visionary ambitions and our commitment to discovering new perspectives in various technological fields, including outside the traditional sphere of cybersecurity.


The companies are currently developing a second version of the neuromorphic processor and are seeking technology partners to establish joint pilot projects using the Altai neurochip.

Bringing Altai’s neural chip to market will make neural network training technologies more efficient and accessible for a wide range of devices by dramatically reducing energy costs. Unlike classical processors, neuromorphic processors do not need to access and retrieve memory (or registers) because all information is already stored in artificial neurons. This makes it possible to process Big Data without additional computing power on the terminals. Tests have shown that the Altai processor consumes nearly 1,000 times less power than traditional graphics accelerators (GPUs) widely used today.

“For Kaspersky, access to these neuromorphic technologies paves the way for a global technology ecosystem,” Doukhalov said. “In the future, we will add hardware solutions based on neuromorphic processors to our proprietary operating system, KasperskyOS – a complete set of software to counter cyber threats, as well as to the MyOffice suite.”

“This approach opens up opportunities for creating extremely energy-efficient solutions,” Romanov said. “These processors will be in demand in areas such as the Internet of Things (IoT), robotics, (autonomous) vehicles, AR projects, cyber-physical security systems, facial recognition and intelligent processing of big data. These solutions can also be integrated into vision and voice recognition systems.The development of this technology could very well stimulate the emergence of completely new devices and technologies, due to its adaptability and the new generation of training algorithms it brings.

Previous Brine Concentration Market Overview 2022 and Analysis by Top Key Players – Advent Envirocare, Modern Water, Memsys, Enviro Water Minerals
Next Former concentration camp guard, 101 years old, sentence of appeal