Africa holds the world’s most genetically diverse human population… Yet pharmacogenomics research — studies of how genetic variation plays into drug responses — is sorely lacking in African populations… Artificial intelligence (AI) can help to close the gap.
Deciphering the relationship between a gene and its genomic context is fundamental to understanding and engineering biological systems. Machine learning has shown promise in learning latent relationships underlying the sequence-structure-function paradigm from massive protein sequence datasets.
To build its test, Prenosis …trained its algorithm to recognize the health measures most associated with developing sepsis. The company narrowed its test to 22 parameters, including blood-based measures and other vital signs such as temperature and heart rate.
This financial health data is fed to a machine learning model, which performs a “vulnerability assessment” on different companies and compares them to a “sector benchmark” based on the value and volatility of average companies in its specific industry.
Microsoft’s breakthrough qubit-virtualization system, with error diagnostics and correction, and Quantinuum’s ion-trap hardware, more than 14,000 individual experiments ran without a single error…It is made possible by the collective advancement of quantum hardware, qubit virtualization and correction, and hybrid applications that take advantage of the best of AI, supercomputing, and quantum capabilities.
ChatGPT-4, an artificial intelligence program designed to understand and generate human-like text, outperformed internal medicine residents and attending physicians at two academic medical centers at processing medical data and demonstrating clinical reasoning.
30 March 2024 - The supercomputer could be 100 times more expensive than the largest data centers currently in operation…Stargate also has the potential to far exceed the computing power currently supplied by Microsoft to OpenAI from its data centers around the country
27 March 2024 - We present the architecture of such an operating system...on concurrent execution of multiple agents demonstrate the reliability and efficiency of our AIOS modules. Through this, we aim to not only improve the performance and efficiency of LLM agents but also to pioneer for better development and deployment of the AIOS ecosystem in the future.
The authors noted that the technique is accurate, fast, cost-effective, and has the potential to revolutionize drug discovery by uncovering more targets for new treatments. This work in Nature Communications …, High-throughput prediction of protein conformational distributions with subsampled AlphaFold2.
Researchers are using various machine-learning strategies to speed up climate modelling, reduce its energy costs and hopefully improve accuracy.
