VERSES AI Inc. (CBOE: VERS) (OTCQB: VRSSF) has made a deal with third party logistics company NRI USA, LLC to use the GENIUS Beta program.
The company explained on Wednesday that this new deal replaces the existing software-as-a-service contract originally offered in August of 2021. The reason being that the Genius platform has had some developments since the original rollout.
NRI was one of the early adopters of the GENIUS platform, according to Gabriel Rene, CEO of Verses. He recognizes that there was a commercial agreement with them, and since then the business model has evolved from an industry specific offering to that of its present flagship platform.
“The ability to apply our vast amounts of data to GENIUS’ reasoning capabilities is extremely exciting for our business,” said Pete McKenna, CEO of NRI.
Verses AI’s Genius program is an advanced artificial intelligence initiative designed to enhance the capabilities of AI systems by integrating contextual awareness and decision-making processes.
The program focuses on creating AI models that can better understand and navigate complex environments by mimicking human cognitive functions. These include reasoning and problem-solving.
Genius uses a proprietary networked cognitive architecture that allows AI to operate autonomously and adapt to dynamic situations. This increases its applicability across various industries, including logistics, healthcare, and smart cities.
This initiative represents a significant step toward developing more intuitive and responsive AI systems capable of managing real-world challenges.
Read more: VERSES AI levels up with global standards for intelligent system interoperability
Read more: VERSES crafts trail blazing research report on next-gen AI
Neuroscience and physics are at the root of active inference
Late last month, Verses AI’s chief scientist, Professor Karl Friston, published a paper titled “From pixels to planning: scale-free active inference,” introducing Renormalizing Generative Models (RGMs).
This is a physics-based approach that offers a more versatile, efficient, explainable, and accurate alternative to deep learning, reinforcement learning, and generative AI. RGMs aim to introduce changes to AI through a new framework that enhances the versatility of artificial intelligence systems.
Neuroscience and physics are at the root of active inference. It describes how biological systems continuously generate and refine predictions based on sensory input to become increasingly accurate.
Although this science is well-established and seen as a promising alternative to artificial intelligence as its presently understood, it had not demonstrated a viable pathway to scalable commercial solutions until now. RGMs achieve this by using a “scale-free” technique that adapts to any scale of data.
.
Verses is a supporter of Mugglehead news coverage
.
Follow Joseph Morton on Twitter
joseph@mugglehead.com
