Lovable AI scored 1.8 on VibeScamming tests, enabling full scam creation with minimal guardrails, risking mass phishing abuse.
Category: robotics/AI – Page 471
AI could revolutionize early skin cancer detection, treatment
Health care providers can use small devices to hover over moles or lesions and immediately check for common skin cancers, such as melanoma and basal cell carcinoma.
The most significant benefit is that health care professionals who do not specialize in dermatology could perform these checks during a routine visit, making early detection easier and quicker.
Skin cancer is the most common form of cancer in the United States, with one in five Americans expected to be affected in their lifetime, according to the City of Hope Cancer Center.
Recognizing rare microorganisms with an AI-based tool
Identifying rare microorganisms in microbiome data just got easier. A team of researchers from Portugal and Canada has developed a new tool that uses machine learning to automatically detect rare biosphere in ecological datasets.
The aim is to quickly, autonomously and unsupervisedly identify rare microorganisms in microbiome datasets. This new tool, named ulrb, responds to a long-standing challenge in microbial ecology: distinguishing rare microorganisms from the most abundant in natural environments.
The new methodology and the new ulrb software have now been published in the study “Definition of the microbial rare biosphere through unsupervised machine learning” in the journal Communications Biology.
Tiny, soft robot flexes its potential as a lifesaver
A tiny, soft, flexible robot that can crawl through earthquake rubble to find trapped victims or travel inside the human body to deliver medicine may seem like science fiction, but an international team led by researchers at Penn State are pioneering such adaptable robots by integrating flexible electronics with magnetically controlled motion.
The 2025 AI Index Report
At Stanford HAI, we believe AI is poised to be the most transformative technology of the 21st century. But its benefits won’t be evenly distributed unless we guide its development thoughtfully. The AI Index offers one of the most comprehensive, data-driven views of artificial intelligence. Recognized as a trusted resource by global media, governments, and leading companies, the AI Index equips policymakers, business leaders, and the public with rigorous, objective insights into AI’s technical progress, economic influence, and societal impact.
A geological timescale for bacterial evolution and oxygen adaptation
Microbial life has dominated Earth’s history but left a sparse fossil record, greatly hindering our understanding of evolution in deep time. However, bacterial metabolism has left signatures in the geochemical record, most conspicuously the Great Oxidation Event (GOE). We combine machine learning and phylogenetic reconciliation to infer ancestral bacterial transitions to aerobic lifestyles, linking them to the GOE to calibrate the bacterial time tree. Extant bacterial phyla trace their diversity to the Archaean and Proterozoic, and bacterial families prior to the Phanerozoic. We infer that most bacterial phyla were ancestrally anaerobic and adopted aerobic lifestyles after the GOE. However, in the cyanobacterial ancestor, aerobic metabolism likely predated the GOE, which may have facilitated the evolution of oxygenic photosynthesis.