Abstract: Neuro-inspired architectures based on synaptic memory arrays have been proposed for on-chip acceleration of weighted sum and weight update in machine/deep learning algorithms. In this paper, ...

In a decision with implications for machine learning-related patent filings, the Federal Circuit in Recentive Analytics ... would a marginal gain suffice? How much weight will courts give to ...

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Here’s how it works. If there were one best exercise machine to lose weight, then we'd be the first to tell you about it. But everyone is different, from the exercise their bodies best respond ...

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In particular, the Federal Circuit noted that this case presented a question of first impression: “whether claims that do no more than apply established methods of machine learning to a new ...

Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts. Sticking to an ...

“As far as we know, Brad Wendt is the only police officer ever to be convicted by the federal government of illegally possessing a machine gun,” Wendt’s attorney, Nick Klinefeldt of Faegre Drinker, ...

This circuit comprises a computation training component ... the DNA compilation of the learning algorithm, which allows the weights to be updated to negative values. The proposed machine learning ...

Studying mice with cancer-linked cachexia, a condition typical of the disease that leads to muscle wasting and weight loss ... of life by targeting the brain circuit." For acute illnesses such ...

A Stoke-on-Trent medical student died in the gym after slipping off a plastic step while using a weight machine with the 65kg bar then dropping and striking his head, an inquest heard. Mohammed ...