Generative Data Intelligence

Tag: supervised learning

Generative AI Landscape In The Mobile App Development Industry

The emergence of Generative Artificial Intelligence (Gen AI) and its intersection with mobile app development has led to remarkable advancements in creativity, personalization, and...

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Overhead-constrained circuit knitting for variational quantum dynamics

Gian Gentinetta, Friederike Metz, and Giuseppe CarleoInstitute of Physics, École Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, SwitzerlandCenter for Quantum Science and Engineering, École...

Efficiently fine-tune the ESM-2 protein language model with Amazon SageMaker | Amazon Web Services

In this post, we demonstrate how to efficiently fine-tune a state-of-the-art protein language model (pLM) to predict protein subcellular localization using Amazon SageMaker. ...

Gen AI isn’t the only tech driving automation in banking

Artificial Intelligence (AI) has surged into the mainstream and is poised to revolutionize operations in the banking sector. Several factors have fueled this surge,...

AI and its impact on work

PreambleThere is considerable debate in professional and public media about the impact of AI, and assertions from both groups- those who welcome and indicate...

The complexity of quantum support vector machines

Gian Gentinetta1,2, Arne Thomsen3,2, David Sutter2, and Stefan Woerner21Institute of Physics, École Polytechnique Fédérale de Lausanne2IBM Quantum, IBM Research Europe – Zurich3Department of Physics,...

Generalization despite overfitting in quantum machine learning models

Evan Peters1,2,3 and Maria Schuld41Department of Physics, University of Waterloo, Waterloo, ON, N2L 3G1, Canada2Institute for Quantum Computing, Waterloo, ON, N2L 3G1, Canada3Perimeter...

The AI Trend In Crypto: Best Altcoins And Deep Learning Models

The AI trend has taken a significant leap forward in 2023, reshaping our understanding of what’s possible. As we delve into 2024, these advancements...

Getir end-to-end workforce management: Amazon Forecast and AWS Step Functions | Amazon Web Services

This is a guest post co-authored by Nafi Ahmet Turgut, Mehmet İkbal Özmen, Hasan Burak Yel, Fatma Nur Dumlupınar Keşir, Mutlu Polatcan and Emre...

Techniques for automatic summarization of documents using language models | Amazon Web Services

Summarization is the technique of condensing sizable information into a compact and meaningful form, and stands as a cornerstone of efficient communication in our...

Build and evaluate machine learning models with advanced configurations using the SageMaker Canvas model leaderboard | Amazon Web Services

Amazon SageMaker Canvas is a no-code workspace that enables analysts and citizen data scientists to generate accurate machine learning (ML) predictions for their business...

Quantum Deep Hedging

El Amine Cherrat1,2, Snehal Raj1, Iordanis Kerenidis1,2, Abhishek Shekhar3, Ben Wood3, Jon Dee3, Shouvanik Chakrabarti4, Richard Chen4, Dylan Herman4, Shaohan Hu4, Pierre Minssen4,...

DeepMind finds AI agents are capable of social learning

A team of machine learning researchers from Google's DeepMind claim to have demonstrated that AI can acquire skills in a process analogous to social...

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