Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.

Read more about AI-driven air quality system promises faster, more reliable urban health warnings on Devdiscourse ...

When it comes to keeping businesses safe, investing in an effective Fire Watch Guards Service is crucial, but what happens ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Indian team unveils MANAS 1, an AI model trained on 60,000 hours of brainwave data, aiming to detect neurological and psychiatric disorders early.

Time series electrocardiography combined with AI predicted cardiac arrest with remarkable accuracy. Discover how this ...

Another theory held that the forces between two particles falls off exponentially in direct relationship to the distance between two particles and that the factor by which it drops is not dependent on ...

GlassAI Enables Real-Time RAW Video Processing on Snapdragon® 8 Elite (Gen 5) Platforms The Snapdragon 8 Elite (Gen 5) ...

Read more about From disease detection to biomass forecasting: AI improves aquaculture risk strategy on Devdiscourse ...