A new research paper shows that machine learning systems can fail against adversarial examples even if they have been trained with randomized smoothing techniques.
Boston Dynamics's new robot Stretch is boring in comparison to the company's previous achievements. But it can be the product that turns the research lab into a profitable company.
Adversarial training secures neural networks against adversarial attacks. But in robotics applications, it can decrease safety, research shows.
By Robert Ravensbergen
There has been in some ways a persistent sense of global crisis that long predates the advent of COVID-19. Growing inequality both...
Machine learning systems thrive on finding and exploiting statistical regularities. This is why they can't do causal reasoning.
By Nick Ni
The field of artificial intelligence moves swiftly, with the pace of innovation only accelerating. While the software industry has been successful in...
By Erik Fossum Færevaag
For over a decade we have witnessed a proliferation of internet-connected devices. Nowadays, the number of internet-connected devices is estimated to...
By Jerry Abiog
A minimum-wage law is, in reality, a law that makes it illegal for an employer to hire a person with limited skills....
To encourage reproducibility in machine learning research, Papers Without Code, a new website, will regularly publish a list of unreproducible ML papers.
By Bruno Slosse
It is almost universally accepted throughout the business world that artificial intelligence (AI) will transform things. A PWC survey confirmed as much, with...