Google DeepMind researchers have introduced ATLAS, a set of scaling laws for multilingual language models that formalize how model size, training data volume, and language mixtures interact as the ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...
Background While the incidence of hospital adverse events appeared to be declining before 2019, the COVID-19 pandemic may ...
While experimentation is essential, traditional A/B testing can be excessively slow and expensive, according to DoorDash engineers Caixia Huang and Alex Weinstein. To address these limitations, they ...
AI chatbots, including commercial market leaders such as ChatGPT, Google Gemini, and Claude, dispense advice that heavily ...
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
The number of complaints received by healthcare organisations from patients and families is on an upward trajectory.1 For example, in 2023–2024, the NHS in England received 241 922 complaints,2 an ...
An unlikely, decades-old drug is gaining traction as a promising off-label treatment for fibromyalgia, driven by a handful of studies and a growing number of anecdotal reports. Low-dose naltrexone ...
Abstract: Refactoring is the process of restructuring existing source code to improve its internal structure without altering its external behavior. Refactoring is essential to maintaining software ...
Abstract: Enzymes play a critical role in catalyzing biochemical reactions, and accurately predicting their substrate specificity is essential for applications in drug discovery, metabolic engineering ...
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