Explore how Google DeepMind’s groundbreaking FunSearch, powered by a large language model, cracks unsolved mathematical problems. Discover the versatility of FunSearch in scientific discovery, its innovative approach, and the potential it holds for reshaping research workflows.
AI Research
Explore the future of biotechnology as AI-driven protein design revolutionizes drug development and disease detection. This groundbreaking study in Nature unveils the potential of AI in crafting high-affinity proteins, offering unprecedented precision for targeting biomarkers. Discover the transformative impact on healthcare, ushering in a new era of computational protein design.
Explore the cutting-edge developments in AI-Completeness theory with this insightful paper. Uncover the formalization of AI-Complete and AI-Hard problems, proving the Turing Test’s significance and categorizing various AI challenges. Gain valuable insights into the complexity of AI problems and discover promising directions for future research.
Explore the future of materials science with GNoME, a groundbreaking AI tool by Google DeepMind. Discover 2.2 million stable crystals, revolutionizing technology from superconductors to electric vehicle batteries. Collaborate with researchers worldwide and access GNoME’s predictions for sustainable advancements.
GraphCast.’s cutting-edge AI model predicts weather conditions up to 10 days in advance, surpassing the gold-standard High Resolution Forecast.
Generate Biomedicines, headquartered in Massachusetts, has achieved a groundbreaking leap in protein design through the creation of Chroma, an AI with versatile capabilities.
Autonomy’s study reveals that by 2033, 88% of the labor force in Great Britain could experience a 10% reduction in work time due to AI-led productivity gains, amounting to 27.9 million workers.
Explore the cutting-edge Knowledge Representation Language (krl) designed for intelligent systems. This report delves into KRL-0, an experimental implementation, highlighting its integration of procedural and declarative knowledge. Discover how krl is shaping the future of intelligent programs with multiprocessing, procedural parameterization, and the innovative Structured Inheritance Network (SI-NET).
In a paper published in National Library of Medicine by Ping Yu,Hua Xu, Xia Hu, and Chao Deng showcases the transformative potential of generative AI and LLMs in healthcare and medicine.Generative artificial intelligence (AI) and the utilization of large language models (LLMs), as seen in the example of ChatGPT, hold […]
The rising prevalence of type 2 diabetes mellitus (T2DM) and the related health complications emphasize the necessity for predictive models that enable early diagnosis and intervention.