Movie enthusiasts and Will Smith fans probably already know that he turned down the role of Neo in The Matrix in favor of Wild Wild West in 1999. In an alternate universe, this is how he might have looked in the film. Despite Wild Wild West not being a wild box office success, Smith says he has no regrets about his decision, saying that Keanu Reeves's performance as Neo was superior to what he would have achieved. Read more to see what deepfake algorithms can do. However, in subsequent interviews after Wild Wild West was released, he stated that he "made a mistake on Wild Wild West. That could have been better."

The CEO's job was never easy, and the confluence of changes in human capital and advancement of technology is going to make it even more difficult in the near future. The leadership in the corner office must possess certain traits, such as the ability to take a bold position on emerging technologies and to assist executives within the organisation to embrace a similar vision. At the same time, the CEO needs to be open to forming alliance with external experts on technology, as well as cautious about protecting the organisation's intellectual properties. CEOs have an important role to play in the adoption and implementation of artificial intelligence (AI) – one of the key factors in shaping an organisation's future success. AI is no longer an emerging technology.

Can artificial intelligence turn out symphonies to match one of the greats of classical music? That was the question posed by one unusual orchestra performance in the Austrian city of Linz on Friday, in which Gustav Mahler's unfinished Symphony No.10 was played -- immediately followed by six minutes of "Mahleresque" music written by software. The project's creator says that the two are clearly distinguishable but not everyone in the audience agreed. "I couldn't really feel the difference... I believe it was really well done," Maria Jose Sanchez Varela, 34, a science and philosophy researcher from Mexico, told AFP.

Ars Electronica is one of the world's largest media art venues, a digital music festival, a showcase for creativity and innovation, and a playground for the next generation – Ars Electronica is a world-class festival for art, technology and society. Ars Electronica Special / Unboxing the festival: As every year, we will open the first evening of the festival with an exciting performance program. BR41N.IO Hackathon at the 2019 Ars Electronia Festival: Apply now for the BR41N.IO Hackathon and develop your own creative projects with the Brain-Computer-Interface (BCI)!

David Schubmehl, research director, Cognitive/Artificial Intelligence Systems at IDC, said: "The use of artificial intelligence and machine learning (ML) …

Lots of papers will use VGG features as a reconstruction loss (often calling this the'perceptual loss') and find that this pretty much always works better than a pixelwise loss (with exceptions perhaps for things like VQ-VAE which already have high sharper quality on their own). The downside of this approach is that you need a pretrained classifier/discriminative model.

It depends on what you are trying to do with this model. The question, as currently posed, might be better suited for /r/statistics. If you're just trying to maximize predictive accuracy, why use polynomial regression at all? Try a boosting tree. If you really care about explaining this model, you're doing statistical inference and this question is not well posed. Would it be "wrong" do use lasso to select your polynomial degree?

BACKGROUND Deep learning has the potential to transform health care; however, substantial expertise is required to train such models. We sought to evaluate the utility of automated deep learning software to develop medical image diagnostic classifiers by health-care professionals with no coding--and no deep learning--expertise. METHODS We used five publicly available open-source datasets: retinal fundus images (MESSIDOR); optical coherence tomography (OCT) images (Guangzhou Medical University and Shiley Eye Institute, version 3); images of skin lesions (Human Against Machine [HAM] 10000), and both paediatric and adult chest x-ray (CXR) images (Guangzhou Medical University and Shiley Eye Institute, version 3 and the National Institute of Health [NIH] dataset, respectively) to separately feed into a neural architecture search framework, hosted through Google Cloud AutoML, that automatically developed a deep learning architecture to classify common diseases. Sensitivity (recall), specificity, and positive predictive value (precision) were used to evaluate the diagnostic properties of the models. The discriminative performance was assessed using the area under the precision recall curve (AUPRC).

Q: I have a Ring video doorbell and am deeply concerned about my rights. Can the police department get access to the footage? I heard this is happening. A: Video evidence is gold in prosecutions, so, understandably, the police would be interested in seizing street-level surveillance. But Ring owners should be aware of how their service can be used and their rights when law enforcement comes knocking.

Zao, a free deepfake face-swapping app that's able to place your likeness into scenes from hundreds of movies and TV shows after uploading just a single photograph, has gone viral in China. Bloomberg reports that the app was released on Friday, and quickly reached the top of the free charts on the Chinese iOS App Store. And like the FaceApp aging app before it, the creators of Zao are now facing a backlash over a perceived threat to user privacy. Twitter user Allan Xia posted a neat demonstration of what the app is capable of yesterday with a 30 second clip of their face replacing Leonardo Dicaprio in famous moments from several of his films. According to Xia, the clips were generated in under eight seconds from just a single photograph, however Bloomberg notes that the app can also guide you through the process of taking a series of photographs -- where it will ask you to open and close your mouth and eyes -- to generate more realistic results.