AI & RoboticsNews

How Alexa and Google Assistant can do a better job talking about coronavirus

Though Alexa and Google Assistant can answer some questions related to the COVID-19 coronavirus, both AI assistants are currently incapable of delivering responses to many common questions from Centers for Disease Control (CDC) and World Health Organization (WHO). Both assistants failed to correct a number of falsehoods or unknowns related to the spread of coronavirus, like if hot weather kills…
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AI & RoboticsNews

IBM’s StarNet brings explainable AI to image classification

In a paper published on the preprint server Arxiv.org, researchers at IBM propose StarNet, an end-to-end trainable image classifier that’s able to localize what it believes to be the key regions supporting its predictions. Besides addressing the task of visual classification, StarNet supports the task of weakly supervised few-shot object detection, such that only a small amount of noisy data is…
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AI & RoboticsNews

Ada raises $44 million to automate customer support with AI chatbots

Ada Support, a Toronto-based company developing AI-driven customer experiences, today revealed that it nabbed a $44 million series B tranche. Cofounder and CEO Mike Murchison says it will be used to scale Ada’s platform and provide enhanced functionality across traditional business silos, which could help organizations optimize customer service operations while improving overall customer…
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AI & RoboticsNews

Bnh.ai is a new law firm focused only on AI

When VentureBeat asked Andrew Burt why he was starting an AI-focused law firm, Burt was quick to clarify that it’s about AI analytics. But that didn’t answer the underlying question of why the world needs a law firm focused so precisely on this one key area. “The…
AI & RoboticsNews

Google AI open-sources EfficientDet for state-of-the-art object detection

Members of the Google Brain team and Google AI this week open-sourced EfficientDet, an AI tool that achieves state-of-the-art object detection while using less compute. Creators of the system say it also achieves faster performance when used with CPUs or GPUs than other popular objection detection models like YOLO or AmoebaNet. When tasked with semantic segmentation, another task related to object…
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