Researchers at UC San Diego have developed advanced deep learning techniques that could revolutionize treatment planning for breast cancer radiotherapy – making it faster and improving its quality.
Guest Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More AI has evolved at an astonishing pace. What seemed like science ...
Prof. Zilong Zhang,Feifei Cui's team from Hainan University and Quan Zou's team from University of Electronic Science and ...
Modern AI technology is data-hungry. In many areas, data is scarce. For example, in our work in early oncology clinical trials, we only have data on about 20 patients, so we tend to use theory-based ...
Once, shows like Star Trek predicted new tech and a boldly going future; now, Severance, Silo and even Trek are looking to ...
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AGI could now arrive as early as 2026 — but not all scientists agreePredictions on the dawn of the AI singularity vary wildly but scientists generally say it will come before 2040, according to ...
Words matter. Government-imposed elimination of words and violation of constitutionally-protected free press guarantees ...
Protein structure predictions are bioinformatic analyses that produce predicted protein structures automatically using the protein amino acid sequence. Protein structures are important because ...
1 Radboud University Medical Center, Radboud Institute for Health Sciences (RIHS), Nijmegen, The Netherlands Design We show how the prediction interval can help understand the uncertainty about ...
By training machine learning models with examples of basic science, Miles Cranmer hopes to push the pace of scientific ...
Integral Ad Science's revenue exceeded Wall Street's expectations in the fourth quarter, but it came up short on earnings per share. Founded as an ad verification company, Integral Ad Science (IAS ...
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