By
ETCentric StaffMarch 21, 2024
Deepgram’s new Aura software turns text into generative audio with a “human-like voice.” The 9-year-old voice recognition company has raised nearly $86 million to date on the strength of its Voice AI platform. Aura is an extremely low-latency text-to-speech voice AI that can be used for voice AI agents, the company says. Paired with Deepgram’s Nova-2 speech-to-text API, developers can use it to “easily (and quickly) exchange real-time information between humans and LLMs to build responsive, high-throughput AI agents and conversational AI applications,” according to Deepgram. Continue reading Deepgram’s Speech Portfolio Now Includes Human-Like Aura
By
Debra KaufmanJuly 16, 2019
Social networks, dating services, photo websites and surveillance cameras are just some of the sources of a growing number of databases compiling people’s faces. According to privacy advocates, Microsoft and Stanford University are among the many groups gathering images, with one such repository holding two million images. All these photos will be used to allow neural networks to build pattern recognition, in the quest to create cutting edge facial recognition platforms. Some companies have collected images for 10+ years. Continue reading Privacy Concerns Grow Over Facial Recognition Data Sets
By
Debra KaufmanSeptember 20, 2017
Google and Pinterest, rivals in visual search, are upping their game. After the May debut of Google Lens, which uses machine learning for real-time visual searches, Pinterest unveiled its Lens, which lets the user take a photo of an object with their phone and bring up related objects in search. Now both companies have upgraded visual search: Pinterest is making it a central feature and Google has added new “badges,” which categorize the image being viewed and adds text to describe potential actions. Continue reading Google and Pinterest Leading the Evolution to Visual Search
By
Meghan CoyleFebruary 9, 2015
Startup Clarifai has developed artificial intelligence technology based on deep learning that can identify what is in a video. This ability could be significant for search engines, which currently have to rely on textual clues around a video to guess what might be in it. Clarifai’s AI has the ability to identify objects, in addition to letting users know exactly when those objects will appear in the video. This technology could be used to help advertisers and other companies analyze their videos. Continue reading Clarifai’s Artificial Intelligence Can Recognize Video Content