Proteins sourced from microorganisms are attracting attention for their potential in biomanufacturing a variety of products, ...
Scientists at the University of Glasgow have harnessed a powerful supercomputer, normally used by astronomers and physicists ...
Abstract: Diabetic retinopathy is a serious eye disease which can lead to vision defects in diabetic patients. Early detection is important for preventing vision loss. Automating the detection process ...
Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn ...
Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn hidden patterns from various types of data, be it images, audio or text, to ...
Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn hidden patterns from ...
A research team has reviewed how machine learning (ML) is revolutionizing fermentation design and process optimization by ...
Abstract: Fuzzy rough set theory is an important approach for analyzing data uncertainty. However, the model lacks adaptive learning capabilities and cannot fit labeled data effectively in ...
The Jacksonville Jaguars are 3-1 heading into Monday Night Football. Running back Travis Etienne is finding success on the ground, and the SportsLine Machine Learning Model expects Etienne's solid ...
Advanced Micro Devices (NASDAQ: AMD) exploded on Monday, October 6, after the company announced a new partnership with OpenAI. As part of the deal, OpenAI will deploy up to 6 gigawatts (GW) of AMD ...
The Perspective by Tiwary et al. (8) offers a comprehensive overview of generative AI methods in computational chemistry. Approaches that generate new outputs (e.g., inferring phase transitions) by ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback