An artificial intelligence-based diagnosis system for the identification of helminth parasitic infections in Mithun and allied bovines

The US development-finance agency announced plans to significantly increase its funding, targeting investments in artificial intelligence data centers and critical minerals. This initiative reflects a strategic expansion aimed at enhancing the country's technological infrastructure and energy resources.

Recent research highlights that epistemic diversity among language models can help mitigate knowledge collapse, a phenomenon where AI systems reduce to a narrow set of dominant ideas. The study demonstrates that ecosystems of models trained on diverse outputs can maintain performance better than single-model approaches, suggesting a need for varied training data across iterations.

Recent advancements in artificial intelligence (AI) are being harnessed for protein design, as detailed in a study published in Nature — Machine Learning. This research highlights the potential of AI to revolutionize the field by improving the efficiency and accuracy of protein modeling and design processes.