A Police App Exposed Secret Details About Raids and Suspects
SweepWizard, an app that law enforcement used to coordinate raids, left sensitive information about hundreds of police operations publicly accessible.
SweepWizard, an app that law enforcement used to coordinate raids, left sensitive information about hundreds of police operations publicly accessible.
Lab animals have long borne the brunt of drug safety trials. A new law allows drugmakers to use miniature tissue models, or organs-on-chips, instead.
While artificial intelligence (AI) models are becoming increasingly advanced, training and running these models on conventional computer hardware is very energy consuming. Engineers worldwide have thus been trying to create alternative, brain-inspired hardware that could better support the high computational load of AI systems.
A team of researchers at Microsoft has demonstrated a new AI system that is capable of mimicking a person’s voice after training with a recording just three seconds long. The team explains developing the new app in a paper published on the arXiv preprint server. They have also posted a webpage demonstrating the app’s capabilities.
In this example, we will demonstrate using current data within a Netezza Performance Server as a Service (NPSaaS) table combined with historical data in Parquet files to determine if flight delays have increased in 2022 due to the impact of the COVID-19 pandemic on the airline travel industry. This demonstration illustrates how Netezza Performance Server …
Read more “How to use Netezza Performance Server query data in Amazon Simple Storage Service (S3)”
Amazon SageMaker is a fully managed machine learning (ML) service. With SageMaker, data scientists and developers can quickly and easily build and train ML models, and then directly deploy them into a production-ready hosted environment. It provides an integrated Jupyter authoring notebook instance for easy access to your data sources for exploration and analysis, so …
Read more “Best practices for load testing Amazon SageMaker real-time inference endpoints”
Introduction Most machine learning models require the input features to be in numerical format and if the features are in categorial format, pre-processing steps such as one-hot encoding are needed to convert them into numerical format. Converting a large number of categorical values may lead to creating sparse features, a set of features that contains …
AI-powered conversational commerce will take ecommerce to the next level in 2023, benefiting customer and retailer alike.Read More
Today, Intel has released its 4th Gen Xeon Scalable CPUs to bridge the divide between which AI and ML workloads could run on CPUs vs. GPUs.Read More
By moving away from legacy systems and towards the cloud, utility firm EDF UK is delivering an array of innovative machine learning products.Read More