AI & RoboticsNews

LivePerson puts more personality (and AI) into next-gen bots

Join today’s leading executives online at the Data Summit on March 9th. Register here. Now that smartypants-type messaging bots are becoming more pervasive, what they need now is to become a bit softer and more human-like, so we can like them a bit more. After all, bots are fast becoming de facto work assistants for us, and we always want to work with people – and bots – we…
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AI & RoboticsNews

The future of AI copywriting is revolutionary, not rubbish

Join today’s leading executives online at the Data Summit on March 9th. Register here. This article was contributed by Matt Shirley, technology consultant and lead content writer for Splinter Economics. In 2022 and beyond, artificial intelligence (AI) has rapidly progressed to become far more “intelligent” than we would have previously thought possible. There is considerable concern…
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AI & RoboticsNews

Symbolic AI: The key to the thinking machine

Join today’s leading executives online at the Data Summit on March 9th. Register here. Even as many enterprises are just starting to dip their toes into the AI pool with rudimentary machine learning (ML) and deep learning (DL) models, a new form of the technology…
AI & RoboticsNews

Could ‘expiration dates’ for AI systems help prevent bias?

Join today’s leading executives online at the Data Summit on March 9th. Register here. Today’s AI technology, much like humans, learns from examples. AI systems are developed on datasets containing text, images, audio, and other information that serve as a ground truth. By figuring out the relationships between these examples, AI systems gradually “learn” to make predictions, like…
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AI & RoboticsNews

Stanford researchers propose ‘jury learning’ as a way to mitigate bias in AI

Join today’s leading executives online at the Data Summit on March 9th. Register here. Many AI systems today learn from examples — whether images, text, or audio — that have been labeled by human annotators. The labels enable the systems to extrapolate the relationships between the examples (e.g., the link between the caption “black bear” and a photo of a black bear) to data that…
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