VERSES AI Inc. (CBOE: VERS) (OTCQX: VRSSF) received approval for two new global standards for interoperability and governance of intelligent systems from the Institute of Electrical and Electronics Engineers Standards Association (IEEE-SA).
Announced on Wednesday, these standards encompass artificial intelligence, Internet of Things (IoT) and robotic interoperability, and include such operating languages as Hyperspace Modeling Language (HSML) and Hyperspace Transaction Protocol (HSTP).
The Spatial Web connects humans, machines, and intelligent systems in an ethical network governed by both HSML and HSTP as operating protocols.
Additionally, HSML organizes complex information in a consistent way, including rules and guidelines for how AI systems should interact. Meanwhile, HSTP manages secure transactions and interactions between different AI systems and devices. Together, these standards ensure smooth communication and interoperability in the Spatial Web.
“The approval positions these new standards to potentially become as ubiquitous as HTTP, WiFi, or Bluetooth protocols that enable interoperability between billions of devices and systems,” said Gabriel René, CEO of VERSES.
“Industry and governments want to safely drive the proliferation of AI and autonomous technologies and we believe that the Spatial Web standards pave the road for both safer and faster market adoption.”
VERSES is the first company to apply the Spatial Web standards in their product, Genius. It also includes a toolkit that allows developers to generate intelligent software agents capable of enhancing existing applications with reasoning, planning, and learning abilities.
Read more: Illustrious market research firm Gartner recognizes VERSES AI for its innovation
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Spatial Web standards allow agents to share world models
In their 2024 Hype Cycle for AI report, market research firm Gartner, Inc (NYSE: IT) recently classified VERSES’ approach with Genius as First Principles AI. This classification also highlights that VERSES’ approach enables a more reliable representation of context. Additionally, it accelerates training, improves data efficiency, enhances generalizability and interpretability. It also creates more adaptive systems compared to current mainstream machine learning methods.
“Unlike generative AI platforms which simply remix content based on their training data, Genius Agents have a world model, like a mental model, which they continuously update in order to make increasingly accurate predictions,” said Hari Thiruvengada, VERSES’ chief product officer.
According to Thiruvengada, the Spatial Web standards enable agents to share their world models. This will create a distributed network of composable agents that can coordinate and interact with other software.
The final steps before IEEE publication involve addressing comments from the non-approval votes and verification from a review committee. The working group plans to develop reference implementations and explore governance requirements for various industries in the future.
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