Security

Using game theory to model poisoning attack scenarios

Poisoning attacks are among the greatest security threats for machine learning (ML) models. In this type of attack, an adversary tries to control a fraction of the data used to train neural networks and injects malicious ...

Computer Sciences

SPFCNN-Miner: A new classifier to tackle class-unbalanced data

Researchers at Chongqing University in China have recently developed a cost-sensitive meta-learning classifier that can be used when the training data available is high-dimensional or limited. Their classifier, called SPFCNN-Miner, ...

Robotics

Applying active inference body perception to a humanoid robot

A key challenge for robotics researchers is developing systems that can interact with humans and their surrounding environment in situations that involve varying degrees of uncertainty. In fact, while humans can continuously ...

Computer Sciences

Spintronic memory cells for neural networks

In recent years, researchers have proposed a wide variety of hardware implementations for feed-forward artificial neural networks. These implementations include three key components: a dot-product engine that can compute ...

Computer Sciences

Researchers use facial quirks to unmask 'deepfakes'

After watching hours of video footage of former President Barack Obama delivering his weekly address, Shruti Agarwal began to notice a few quirks about the way Obama speaks.

Computer Sciences

PizzaGAN gets the picture on how to make a pizza

Is nothing sacred? Who would dare to even attempt to talk about a machine-learning experiment that results in the perfect (gasp) pizza? It is difficult to contemplate, but a research quintet did not shy away from trying, ...

Machine Learning & AI

Researchers use biological evolution to inspire machine learning

As Charles Darwin wrote in at the end of his seminal 1859 book On the Origin of the Species, "whilst this planet has gone cycling on according to the fixed law of gravity, from so simple a beginning endless forms most beautiful ...

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