Tag: synthetically
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...
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Elevate your marketing solutions with Amazon Personalize and generative AI | Amazon Web Services
Generative artificial intelligence is transforming how enterprises do business. Organizations are using AI to improve data-driven decisions, enhance omnichannel experiences, and drive next-generation product...
Defect detection in high-resolution imagery using two-stage Amazon Rekognition Custom Labels models | Amazon Web Services
High-resolution imagery is very prevalent in today’s world, from satellite imagery to drones and DLSR cameras. From this imagery, we can capture damage due...
Plug me in: the physics of brain–computer interfaces – Physics World
Sidney Perkowitz delves into the cutting-edge work being done to make brain–computer interfaces safer, more durable and widely available ...
Electrogenetics Study Finds We Could One Day Control Our Genes With Wearables
The components sound like the aftermath of a shopping and spa retreat: three AA batteries. Two electrical acupuncture needles. One plastic holder that’s usually...
How Generative AI and synthetic data can be used to train fraud models and improve detection rates
The possible applications of generative AI have been explored by many in recent weeks. However, one major unexplored topic is how fraud analysts can...
Use Amazon SageMaker Canvas to build machine learning models using Parquet data from Amazon Athena and AWS Lake Formation | Amazon Web Services
Data is the foundation for machine learning (ML) algorithms. One of the most common formats for storing large amounts of data is Apache Parquet...
Cardano Dev Dismisses Hydra TPS Rumors: “It Is Misleading”
Hydra has generated significant excitement in the Cardano community due to its scaling potential. The hype around Hydra has led to some overestimation of...
Improved ML model deployment using Amazon SageMaker Inference Recommender
Each machine learning (ML) system has a unique service level agreement (SLA) requirement with respect to latency, throughput, and cost metrics. With advancements in...
Detect real and live users and deter bad actors using Amazon Rekognition Face Liveness
Financial services, the gig economy, telco, healthcare, social networking, and other customers use face verification during online onboarding, step-up authentication, age-based access restriction, and...
Recommend top trending items to your users using the new Amazon Personalize recipe
Amazon Personalize is excited to announce the new Trending-Now recipe to help you recommend items gaining popularity at the fastest pace among your users....
Training Neural Radiance Field (NeRF) Models with Keras/TensorFlow and DeepVision
Neural Radiance Fields, colloquially known as NeRFs have struck the world by storm in 2020, released alongside the paper "NeRF: Representing Scenes as Neural...
Tune ML models for additional objectives like fairness with SageMaker Automatic Model Tuning
Model tuning is the experimental process of finding the optimal parameters and configurations for a machine learning (ML) model that result in the best...