Google DeepMind's GNoME system predicts 400,000 stable substances, and the A-Lab autonomous system successfully synthesizes these materials in the lab. GNoME proposes 2.2 million potential compounds, with A-Lab utilizing the latest robotic technology to produce 41 new inorganic materials in just 18 days. This technological breakthrough is expected to accelerate the discovery of materials in clean energy, electronics, and other fields, marking a new chapter for AI in scientific discovery. The A-Lab team successfully improved the synthesis process through an active learning algorithm, producing 41 new materials.

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.

Samsung is ramping up its efforts to develop higher-density storage chips to meet the surge in AI computing demands. The company is committed to researching new materials to突破 chip performance and manufacturing limits. Samsung is increasing the production of HBM (High Bandwidth Memory) chips to cope with the AI computing demand. The company focuses on custom HBM memory chips to meet various customer AI computing needs. Samsung will continue to optimize and enhance its storage chip product matrix to support long-cycle AI chip deliveries.