AI & RoboticsNews

How self-supervised learning may boost medical AI progress

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Watch here. Self-supervised learning has been a fast-rising trend in artificial intelligence (AI) over the past couple of years, as researchers seek to take advantage of large-scale unannotated data to develop better machine learning models.  In 2020, Yann Lecun, Meta’s chief AI…
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AI & RoboticsNews

Improving AI-assisted conversation with zero-shot learning

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Watch here. Zero-shot learning is a relatively new technique in machine learning (ML) that’s already having a major impact. With this method, ML systems such as neural networks require zero or very few “shots” in order to arrive at the “correct” answer. It has primarily gained…
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AI & RoboticsNews

McKinsey report: Two AI trends top 2022 outlook

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Watch here. McKinsey’s newly-released Technology Trends Outlook 2022 named applied AI and industrializing machine learning as two of 14 of the most significant technology trends unfolding today.  According to McKinsey, the study builds on trend research shared in 2021, adding new data…
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AI & RoboticsNews

How AIaaS (AI-as-a-service) can help democratize AI

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Watch here. When it comes to artificial intelligence (AI) adoption, there is a growing gap between the haves and the have-nots.  According to IBM, the global AI…
AI & RoboticsNews

How the NIST is moving ‘trustworthy AI’ forward with its AI risk management framework

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Watch here. Is your AI trustworthy or not? As the adoption of AI solutions increases across the board, consumers and regulators alike expect greater transparency over how these systems work.  Today’s organizations not only need to be able to identify how AI systems process data and…
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