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Santa Clara County prosecutors charged Gabrielle Hanson, 32, and Jacob Randolph, 39, with felony child neglect after 8 year old Aurora Williams died days after a severe asthma attack in May.
Medical image quality is essential for reliable clinical diagnosis and downstream artificial intelligence analysis, yet routine images are often degraded by noise, motion artefacts, low contrast, low-dose acquisition or modality-specific artefacts.
Large language models increasingly rely on generating reasoning tokens that appear to describe a reasoning process performed by the model to arrive at the answer.
When newsroom artificial intelligence (AI) engages in emotional packaging, it changes how a story feels, shaping whether people approach, trust and share it.
Biomedical discovery has entered an era in which the limiting resource is no longer data, but our ability to integrate and interpret evidence. DeepEvidence, a new deep research agent, goes beyond retrieving facts and constructs explicit representations of scientific evidence.
Combinatorial optimization (CO) underpins decision-making across science, engineering and industry, especially manufacturing, logistics, healthcare operations and energy management.
Accelerator-based neutrino physics is entering an energy-frontier regime in which interactions reach the tera-electronvolt scale and produce exceptionally dense, overlapping detector signatures.
Effective climate risk assessment is hindered by the resolution gap between coarse global climate models and the fine-scale information needed for regional decision making.
Understanding how neural systems develop modular organization is fundamental to both neuroscience and artificial intelligence. Modular architectures are thought to be critical for adaptability and complex cognitive performance by enriching the brain’s ability to integrate and process information.
Microrobots hold considerable potential for various applications in which targeted navigation is a basic requirement. Deep reinforcement learning has recently emerged as a powerful paradigm for fully autonomous microrobot navigation.
Generative artificial intelligence has revolutionized the exploration of chemical space, yet a critical bottleneck remains that a substantial fraction of generated molecules is synthetically inaccessible.
Living organisms continuously monitor their internal physiological states while interacting with complex environments and adapt their actions in response to changes in these internal signals.
Nature Machine Intelligence - Publisher Correction: Quantum neural operators with implicit quadratic frame and expressivity advantages
Current large language models require hundreds of billions of parameters yet struggle with domain-specific reasoning and tool coordination in materials science.
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