AI & RoboticsNews

The perks and pitfalls of creating prolific AI inventors

Hear from CIOs, CTOs, and other C-level and senior execs on data and AI strategies at the Future of Work Summit this January 12, 2022. Learn more Can AI Be The Inventor Of A Patent? U.S. Judge says “no,” while others consider it a “maybe.” Artificial intelligence (AI) has had a profound impact on our society in recent years, but it’s been around longer than you may realize. Many people…
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AI & RoboticsNews

NLP is the heart of the intelligent enterprise

Hear from CIOs, CTOs, and other C-level and senior execs on data and AI strategies at the Future of Work Summit this January 12, 2022. Learn more The enterprise is investing heavily into multiple forms of AI, but interest in natural language processing (NLP) has gained…
AI & RoboticsNews

Open source NLP is fueling a new wave of startups

Hear from CIOs, CTOs, and other C-level and senior execs on data and AI strategies at the Future of Work Summit this January 12, 2022. Learn more Large language models capable of writing poems, summaries, and computer code are driving the demand for “natural language processing (NLP) as a service.” As these models become more capable — and accessible, relatively speaking — appetite in…
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AI & RoboticsNews

Mperativ aims to leverage AI in new revenue analytics platform

Hear from CIOs, CTOs, and other C-level and senior execs on data and AI strategies at the Future of Work Summit this January 12, 2022. Learn more Today, Mperativ announced it raised $6 million in funding to launch a revenue operations platform. The company claims the platform will  offer users time series data of the revenue supply chain and access to a bitemporal data warehouse. The…
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AI & RoboticsNews

AI Weekly: Novel architectures could make large language models more scalable

Hear from CIOs, CTOs, and other C-level and senior execs on data and AI strategies at the Future of Work Summit this January 12, 2022. Learn more Beginning in earnest with OpenAI’s GPT-3, the focus in the field of natural language processing has turned to large language models (LLMs). LLMs — denoted by the amount of data, compute, and storage that’s required to develop them — are capable…
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