High prevalence of artificial skin lightening in under 5s, Nigerian survey suggests
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This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.
Updates every hour. Last Updated: 31-Dec-2025 05:11 ET (31-Dec-2025 10:11 GMT/UTC)
A new Australian study has smashed the myth that generative AI systems such as ChatGPT could soon replace society’s most creative playwrights, authors, songwriters, artists and scriptwriters.
While artificial intelligence technology is increasingly being used — formally and informally — to support medical diagnoses, its utility in emergency medical settings remains an open question. Can AI support doctors in situations where split-second decision making can mean the difference between life and death? Researchers at Drexel University broached the question with clinicians at Children’s National Medical Center in Washington, D.C., to better understand how and when the technology could help them save lives.
A fundamental discovery about phosphorylation, a key mechanism that enables nervous system connections to strengthen, may alter the textbook-level understanding of how synapses work. Phosphorylation is a biochemical process considered fundamental for functions within cells, such as metabolism, structural processes and subcellular signaling. It also occurs outside of cells, and scientist found in this study that kinases within the synaptic cleft play an important role in synaptic plasticity. The findings, published Nov. 20 in the journal Science, have direct implications for better understanding the underlying biochemical mechanisms involved in learning, memory and pain, creating broad implications for neuroscience.
The massive swarm of earthquakes that rattled the Greek islands of Santorini and Amorgos in 2025 was not caused by a slipping fault – it was triggered by pulses of magma tunneling far below the seafloor, according to a new study. The findings offer a detailed look at a “pumping” magmatic dike in action and provide a foundation for more reliable, physics-based eruption forecasting and volcanic hazard assessment. In early 2025, a burst of intense earthquakes – including several around magnitude 5 – shook the region between the islands of Santorini and Amorgos in the Aegean Sea. Because Santorini is an active volcano with a history of catastrophic eruptions, the event raised serious concerns. Exactly what triggered this seismic unrest remains debated, but it is generally attributed to magmatic dike intrusion or fluid-driven tectonic fault slip. However, fully determining the processes that contributed to the event is difficult to resolve because most magmatic dike activity occurs deep underground or far offshore, beyond the scope of traditional monitoring methods.
To overcome these limits, Anthony Lomax and colleagues applied machine learning methods to detect and precisely locate ~25,000 earthquakes recorded during the 2025 Santorini-Amorgos. By applying a new three-dimensional imaging technique, CoulSeS, which treats earthquake locations and indicators of stress change at depth, Lomaxz et al. were able to use the tremblors as “virtual sensors” to map the underlying geologic source of the unrest. By modeling how evolving patterns of stress triggered seismic activity and tracing how earthquakes migrated, the authors found that the event was driven by the intrusion of a horizontally propagating magma-filled dike, which extended about 30 kilometers below the seafloor between the two islands. High-resolution imaging revealed a complex pattern of pressure fluctuations – as the dike propagated, it repeatedly broke through stress barriers in the crust, surged forward, and then underwent cycles of contraction and expansion, creating a dynamic pumping behavior that earlier studies had overlooked. “The study of Lomax et al. could lead to new dynamic models of magma transport that account for spatial variations in the fracture resistance of surrounding rocks,” writes Virginie Pinel in a related Perspective. “Furthermore, combining real-time observations and dynamic models could predict the location and timing of eruptions by using advanced data assimilation or machine-learning techniques."