What is the Difference Between Deep Learning and Machine Learning

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.
National Academies

DOE Should Develop AI-Based Foundation Models Fused with Traditional Computational Methods to Bring Paradigm Shift to Scientific Discovery

Foundation models are AI systems trained on vast amounts of data — often trillions of individual data points — and they are capable of learning new ways of modeling information and performing a range ...

Neel Somani on How Privacy-Preserving Machine Learning Is Changing the Digital Landscape

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
Forbes

The AI-First Company: Why Traditional Models May Soon Be Obsolete

Jehan Hamedi, Founder and CEO of Vizit, is an award-winning AI entrepreneur harnessing AI to predict the effectiveness of content. For decades, businesses have adapted to waves of technological ...

AI vs. traditional models: The new era of weather forecasting

A groundbreaking AI model, GenCast, is revolutionizing weather forecasting by generating rapid, probabilistic global ...
Chromatography Online

A Novel Machine Learning Method for Predicting Retention Time of Small Molecule Pharmaceutical Compounds Across Reversed-phase HPLC Columns

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...