We are thrilled to introduce Accuracy Evaluation, the newest feature in our Cloud Speech UI, to allow for easy and seamless benchmarking of our Speech-to-Text (STT) API models and configurations. The STT API covers a wide variety of use cases, from dictation and short commands, to captioning and subtitles. Getting the most of STT, however, …
Read more “Announcing Accuracy Evaluation for Cloud Speech-to-Text”
“Please hold” may be the two words that customers hate most — and that contact center agents take pains to avoid saying. Providing fast, accurate, helpful responses based on contextually relevant information is key to effective customer service. It’s even better if answers are personalized and take into account how a customer might be feeling. …
After months of negotiations and two years after a draft rules were proposed, EU lawmakers have a draft of the Artificial Intelligence Act.Read More
The streaming service doesn’t quite have Netflix’s back catalog, but it has a solid lineup.
Cornell researchers have developed an optical neural network (ONN) that can filter relevant information from a scene before the visual image is detected by a camera, a method that may make it possible to build faster, smaller and more energy-efficient image sensors.
Today Stability AI announces the release of its Image Upscaling API, an AI-powered tool that increases the size of any image without compromising its sharpness. The Image Upscaling API is the latest addition to Stability AI’s existing set of image generation and editing APIs, like the popular text-to-image, image-to-image and inpainting APIs. Upscaling adds to …
The economy constantly reshapes consumer behavior towards financial services and consumer sentiments around spending. Economic factors have a huge impact on how consumers approach their own finances and think about financial products. While it’s no secret that consumer behaviors are always changing, just how much and how fast they are changing might surprise even the …
Read more “Exclusive Insights into Consumer Behavior Towards Financial Services”
Diffusion models (DMs) have recently emerged as SoTA tools for generative modeling in various domains. Standard DMs can be viewed as an instantiation of hierarchical variational autoencoders (VAEs) where the latent variables are inferred from input-centered Gaussian distributions with fixed scales and variances. Unlike VAEs, this formulation constrains DMs from changing the latent spaces and …
Read more “f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation”
ChatGPT users can now turn off chat history, allowing you to choose which conversations can be used to train our models.
IT Managers run into scalability challenges on a regular basis. It is difficult to predict growth rates of applications, storage capacity usage and bandwidth. When a workload reaches capacity limits, how is performance maintained while preserving efficiency to scale? The ability to use the cloud to scale quickly and handle unexpected rapid growth or seasonal shifts …