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The AI world is abuzz! William Fedus, OpenAI's former VP of Training, has unexpectedly announced his departure, sending shockwaves through the tech community. This key figure, once at the forefront of the AI wave, isn't retiring or taking a break; instead, he's ambitiously launching a new venture focused on AI-driven materials science. Materials science? It seems a departure from the familiar world of chatbots and image generation models. Indeed, Fedus...

The AI system A-Lab independently created 41 new materials in 17 days, averaging more than 2 new materials each day, surpassing human speed. The GNoME model developed by Google DeepMind contributed nearly 400,000 new compound data points to material projects. A-Lab successfully synthesized 41 out of 58 predicted materials, achieving a success rate of 71%. GNoME improved the accuracy of structural stability predictions, significantly enhancing the efficiency of material discovery. AI facilitates the rapid manufacturing and testing of new materials, focusing on the development of critical materials for future technologies.

Google DeepMind has discovered 2.2 million theoretically stable but unrealized crystal structures using AI tools, potentially advancing fields such as renewable energy and advanced computing. The plan is to make the most promising 381,000 structures available to other scientists. The new materials discovered using AI can be utilized in multifunctional layered materials and biomimetic computing applications.