Has shared preliminary results on its variant of the “Atari 100K Challenge” a leading AI industry benchmark, where software agents must learn gameplay proficiency, on their own, using a limited amount of training data. The results, which can be found in a blog post on the Company’s website titled “Mastering Atari Games with Natural Intelligence,” showcase how agents powered by Genius TM , a toolkit for developing intelligent agents, were able to match or exceed the performance of state-of-the-art Deep Reinforcement Learning (DRL) and Transformer algorithms using 90% less data. DRL is the algorithm that underpins work such as Google (NASDAQ:GOOGL) Deepmind’s AlphaZero, AlphaGo, and AlphaFold, while Transformers are the foundation of Generative AI and LLMs like OpenAI’s GPT, and other popular models like Anthropic’s Claude, Google’s Gemini, Meta’s Llama, X.AI’s Grok and others.