Abstract: The recent surge of Deep Learning (DL) models and applications can be attributed to the rise in computational resources, availability of large-scale datasets, and accessible DL frameworks ...

For a multinational oil and gas company, you have the unique opportunity to lead innovation and drive impactful solutions that leverage the power of Generative AI, Multi-Modal Generative AI Models, ...

AI Center of Excellence for its Bangalore office. This role focuses on designing, developing, and deploying cloud-based ...

Intel is looking for a Data Scientist who specializes in Demand and Supply Planning to develop advanced analytics and machine learning systems that will optimiz ...

Discover the key differences between Data Science, Data Engineering, and AI. Learn about their unique roles, technical toolkits, and career trajectories to choose the right path for your future in the ...

Google has announced LiteRT, the universal on-device AI framework, a significant milestone in a time when artificial intelligence is quickly shifting from cloud-based servers to consumers' own devices ...

Abstract: While early AutoML frameworks focused on optimizing traditional ML pipelines and their hyperparameters, a recent trend in AutoML is to focus on neural architecture search. In this paper, we ...

This repository contains the source code for TensorFlow Privacy, a Python library that includes implementations of TensorFlow optimizers for training machine learning ...

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...