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Google | January 17, 2020

The promise of technology is always more for less — faster processors at lower prices, thanks to more circuits crammed into the same silicon area. And artificial intelligence has an analogue, it turns out, based on recent work by engineers at Google, who have found a way to take the "Transformer" language model and make a version of it run in a single graphics processing unit, or GPU, rather than the multiple graphics processing units it normally requires to operate. ...

AI Tech,General AI,AI Applications

CloudFactory | January 19, 2023

On January 18, 2023, CloudFactory, a leading human-in-the-loop AI solutions provider, announced the launch of Accelerated Annotation, a Vision AI product that combines CloudFactory's best-in-class workforce with industry-leading AI-assisted labeling technology to produce high-quality labeled data 5x quicker than manual labeling. AI innovation and competitiveness are accelerating, necessitating greater efficiency and scalability in data labeling process Accelerated Annotation...

AI Tech, General AI, Software

Prnewswire | May 04, 2023

Kore.ai, the world's leading conversational AI platform and solutions company, today announced the release of the Kore.ai Experience Optimization (XO) Platform Version 10.1, featuring enhanced capabilities for building chatbots using generative AI. Kore.ai has introduced capabilities that leverage generative AI and large language models (LLMs) for the creation and deployment of intelligent conversational experiences–making it five times faster with one-third of the ope...

AI Tech

Cognigy | August 30, 2021

Cognigy, a global leader in omnichannel Customer and Employee Service Automation with its Conversational AI platform Cognigy.AI, today announced the launch of Cognigy Insights, a powerful analytics suite integrated with the Cognigy.AI platform to help enterprises make sense of their conversational data, and give them the means to act upon insights, all within one best-in-class suite. Every day, virtual assistants create millions of data points. However, getting value from all this...