Artificial intelligence (AI) helps doctors make better diagnoses, scientists create new materials, farmers grow crops more effectively and all of us driving cars - and millions of other applications. This topic also covers subsets of AI such as machine learning (ML), deep learning and neural networks.
AlphaFold has been cited in more than 35,000 scientific articles. Over 200,000 articles have used elements of AlphaFold 2 in their methodology. It has contributed to understanding heart disease, conserving bee colonies, and developing more resilient crops.
AI agents can screen early-stage startups 537 times faster than human venture capital analysts without sacrificing quality. The AI tool cost an average of 6.9 cents per search compared to 70 dollars for human analysis. Startups selected by the AI agent had a higher probability of receiving funding.
The AI transforms a hand-drawn sketch into a complete, CAD-ready 3D model, can iterate and improve the design based on visual cues and engineering rules, and enables people without CAD skills to create professional-quality models.
Kosmos can read 1,500 scientific papers and run 42,000 lines of analysis code in a single run. The AI system has already made seven discoveries in neuroscience, materials science, and statistical genetics.
An AI-designed enzyme can break down 98 percent of polyurethane in 12 hours at industrial scale. Polyurethane is a type of plastic used in foam cushions, mattresses, insulation and other products. The process recovers pure building blocks that can be used to manufacture new plastic.
Three years ago, not even one of the largest companies in the world could solve this problem. Now a small startup can. The reason is generative AI.
An excerpt from The Fifth Acceleration: Why AI Is Not the End β but the Beginning of What We Can Become by Mathias Sundin.
AI models have designed 16 working viruses that can attack E. coli bacteria in the laboratory. The development of the technology could lead to new treatments against antibiotic-resistant bacterial infections.
Researchers at the University of Florida have developed a chip that uses light to perform calculations in AI systems. The chip drastically reduces energy consumption while maintaining 98 percent accuracy.