AI in pharma has the potential to overhaul drug discovery, clinical trials, manufacturing, and marketing by analysing vast datasets to speed up processes, reduce costs, and enable personalised ...
We build AI systems to mimic the human brain: writing emails, answering questions and predicting what comes next. But new ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...
Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...
Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.
Positioned at the intersection of quantitative finance, statistical learning, and modern AI, the research addresses a ...
Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...
A new medical large language model (LLM) achieved over 91% accuracy in identifying female participants diagnosed with major ...
Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...
A new medical large language model (LLM) achieved over 91 percent accuracy in identifying female participants diagnosed with major depressive disorder after analyzing a short WhatsApp audio recording ...
Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...
These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.
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