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Machine learning algorithms can predict which candidates are more likely to succeed in a given role by analyzing past hiring ...

ARTIFICIAL intelligence is no longer just a peripheral tool in research. The rapid accumulation, availability and ...

Algorithms in clinical decision tools have been making it harder for certain racial and socioeconomic groups to receive the healthcare they deserve.

Data Knot is a set of machine learning tools that are optimized for low latency and real-time performance. The tools can be used with any type of audio input, including optimizations for Sensory ...

Abstract: Digital in-memory compute (IMC) architectures allow for a balance of the high accuracy and precision necessary for many machine learning applications, with high data reuse and parallelism to ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines. By Daniel Fusch Neel Somani, a ...

Siemens and several leading machine tool manufacturers — including Grob, Trumpf, Chiron, Renishaw and Heller, along with the Machine Tool Laboratory (WZL) of RWTH Aachen and the Voith Group — have ...

Abstract: With the advent of cloud computing, traditional machine learning (ML) are migrating into cloud-based ML day by day following the concept of machine learning as a cloud service, which enables ...

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