3 ways emotion AI elevates the customer experience
Emotion AI can boost employees’ emotional intelligence and provide real-time support to create better customer experiences.Read More
Top 5 stories of the week: Nvidia and OpenAI updates, 2023 predictions for cybersecurity, and more
As we approach 2023, experts across a range of companies have unveiled their predictions, insights and even a glance at up-and-coming innovations.Read More
The future of generative AI and its ethical implications
Despite ethical issues of attribution, intellectual property, deepfakes and more, generative AI will continue to revolutionize the internet.Read More
7 Best Carpet Cleaners (2022): Budget, Spot Cleaners, Hard Floors
Tackle stubborn stains, ground-in grime, and pesky pet hair with one of these WIRED-tested washers.
China’s Police State Targets Zero-Covid Protesters
Plus: ICE accidentally doxes asylum seekers, Google fails to uphold a post-Roe promise, and LastPass suffers the second breach this year.
End-to-End Encryption Is Coming to Android Group Chats
Plus: Apple’s mixed-reality headset creeps toward actual reality, and a stronger type of Gorilla Glass is coming to phone screens.
16 Phone Accessories for People With Upper Extremity Disabilities
Typing or making calls with one hand? These cases, grips, and add-ons will make your life much easier.
Sonos Sub Mini Review: All About That Bass
The teeny subwoofer brings the bass to your existing smart soundbar.
Introducing one-step classification and entity recognition with Amazon Comprehend for intelligent document processing
“Intelligent document processing (IDP) solutions extract data to support automation of high-volume, repetitive document processing tasks and for analysis and insight. IDP uses natural language technologies and computer vision to extract data from structured and unstructured content, especially from documents, to support automation and augmentation.” – Gartner The goal of Amazon’s intelligent document processing (IDP) …
Improving model quality at scale with Vertex AI Model Evaluation
Typically, data scientists retrain models at regular intervals to keep them fresh and relevant. This practice may turn out to be costly if the model is trained too often or inefficient if the model training isn’t frequent enough to serve the business. Ideally, data scientists prefer to continuously evaluate the models and intentionally retrain models …
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