AI & RoboticsNews

Generative AI output could be eligible for copyright protection. But there’s a catch.

According to a new policy statement from the U.S. Copyright Office, generative AI could be eligible for copyright protection. But, there’s a catch: Proof of human authorship (a prerequisite reaffirmed by the Copyright Office a year ago) is still required, with applications evaluated on a case-by-case basis. If the applicant can show that generative AI was used, but then a human did something to…
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AI & RoboticsNews

Responsible AI is a must for achieving AI at scale

This article is part of a VB special issue. Read the full series here: The quest for Nirvana: Applying AI at scale. When it comes to applying AI at scale, responsible AI cannot be an afterthought, say experts. “AI is responsible AI — there’s really no differentiating…
AI & RoboticsNews

How the quest for AI at scale is gaining momentum in the enterprise

This article is part of a VB special issue. Read the full series here: The quest for Nirvana: Applying AI at scale. Enterprise companies have experimented with artificial intelligence (AI) for years — a pilot here, a use case there. But company leaders have long dreamed of going bigger, better and faster when it comes to AI. That is, applying AI at scale. The goals of this quest may vary. Maybe…
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AI & RoboticsNews

The power of MLOps to scale AI across the enterprise

This article is part of a VB special issue. Read the full series here: The quest for Nirvana: Applying AI at scale. To say that it’s challenging to achieve AI at scale across the enterprise would be an understatement.  An estimated 54% to 90% of machine learning (ML)…
AI & RoboticsNews

Can healthcare show the way forward for scaling AI?

This article is part of a VB Lab Insights series on AI sponsored by Microsoft and Nvidia. Don’t miss additional articles in this series providing new industry insights, trends and analysis on how AI is transforming organizations. Find them all here Scaling artificial intelligence (AI) is tough in any industry. And healthcare ranks among the toughest, thanks to highly complex applications…
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AI & RoboticsNews

How synthetic data is boosting AI at scale

This article is part of a VB special issue. Read the full series here: The quest for Nirvana: Applying AI at scale. Artificial intelligence (AI) relies heavily on large, diverse and meticulously-labeled datasets to train machine learning (ML) algorithms. In the modern era, data has become the lifeblood of AI, and obtaining the right data is considered the most critical and challenging aspect of…
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