Indigenous Chileans resist AI-fueled copper and lithium mining that depletes water resources, destroys ecosystems, and perpetuates racist stereotypes, seeking sustainable alternatives to extractive industries that prioritize profit over people and the environment.
While AI has enabled some scientific breakthroughs, its widespread adoption in research is driven more by incentives for scientists than proven benefits, leading to overoptimistic claims and lack of transparency about limitations and negative results.
AI's integration with precision medicine enables accurate cancer diagnoses, optimized treatments, and equitable solutions by leveraging pathomics, deep learning models like NAFNet for predicting outcomes, and developing population-specific AI models with diverse data sets.
A medical student and resident physician discuss their published manuscript on leveraging artificial intelligence (AI) to enhance equitable cancer care, highlighting AI's potential in improving diagnosis, treatment planning, increasing access through mobile tools, and addressing challenges like data bias and ethical implementation.
The University of California awarded $18 million to fund ambitious AI research projects in genomics, quantum materials, and geothermal energy, bringing together expertise from UC campuses and national labs to accelerate scientific breakthroughs and innovation at unprecedented scale.
Meta's AI research division unveils groundbreaking datasets and models, including Open Molecules 2025 for molecular discovery, and insights into how language representations develop in the brain, mirroring large language models, potentially revolutionizing science and language processing.
AI's ability to rapidly analyze massive datasets is revolutionizing drug discovery, cutting research timelines from around 6 years to as little as 2-4 years, leading to significant cost savings and faster delivery of life-saving treatments, as evidenced by the accelerated development of COVID-19 mRNA vaccines.
AI's untapped potential in accelerating species discovery, ecosystem tracking, and addressing biodiversity knowledge gaps offers a transformative opportunity to meet global conservation targets, but requires expanding data-sharing, refining algorithms, and ensuring ethical practices.
MBZUAI unveils the Institute of Digital Public Health, harnessing AI foundation models and a data-driven approach to drive innovation across computational biology, precision medicine, infectious disease monitoring, and the UAE Genome Atlas for transformative public health solutions.
Researchers unveiled a groundbreaking AI model, LinOSS, inspired by brain oscillations, that excels at long sequence predictions by leveraging principles of forced harmonic oscillators, outperforming existing state-of-the-art models and showing promise for applications like climate science and financial forecasting.