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VERSES Genius™ Agent Outperforms Leading AI Algorithms at Major Industry Benchmark

Jan 22, 2025 - financialpost.com
VERSES AI Inc., a cognitive computing company, has announced significant advancements in AI performance with its Genius™ Agent, which outperformed leading AI algorithms in the "Atari 100K Challenge," a major industry benchmark. The Genius™ Agent demonstrated high efficiency by using 90% less data, achieving 96% faster training, and having a 96% smaller model size compared to state-of-the-art Deep Reinforcement Learning (DRL) and Transformer algorithms. This efficiency suggests potential applications in real-world challenges where data is sparse or incomplete. The company aims to develop smarter, safer, and more scalable AI systems inspired by natural intelligence.

The Genius™ Agent's success in the Atari Challenge highlights its ability to learn and adapt to complex dynamic systems without human supervision, outperforming traditional models across various games. VERSES' approach aligns with biological systems' energy efficiency, utilizing the Free Energy Principle and Bayesian Machine Learning to create a sustainable and scalable AI architecture. The company envisions applications in diverse industries, including finance, healthcare, and autonomous systems, emphasizing the potential of machine intelligence to navigate real-world complexities.

Key takeaways:

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  • VERSES AI Inc. has demonstrated that its Genius™ Agent can outperform leading AI algorithms in the "Atari 100K Challenge" using 90% less data, 96% faster training, and 96% smaller model size.
  • The Genius™ Agent's efficiency suggests its applicability to real-world challenges where data can be sparse, incomplete, or noisy.
  • The architecture of Genius™ aligns with natural intelligence, offering a sustainable and scalable approach to building intelligent systems.
  • VERSES aims to develop an efficient and generalized architecture for intelligent agents to learn and develop expertise across various domains, including financial, medical, and autonomous driving industries.
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