We train an artificial neural network which distinguishes chaotic and regular dynamics of the two-dimensional Chirikov standard map. We use finite length trajectories and compare the performance with traditional numerical methods which need to evaluate the Lyapunov exponent. The neural network has superior performance for short periods with length down to 10 Lyapunov times on which the traditional Lyapunov exponent computation is far from converging. We show the robustness of the neural network to varying control parameters, in particular we train with one set of control parameters, and successfully test in a complementary set. Furthermore, we use the neural network to successfully test the dynamics of discrete maps in different dimensions, e.g. the one-dimensional logistic map and a three-dimensional discrete version of the Lorenz system. Our results demonstrate that a convolutional neural network can be used as an excellent chaos indicator.

In patients with atrial fibrillation, local activation time (LAT) maps are routinely used for characterising patient pathophysiology. The gradient of LAT maps can be used to calculate conduction velocity (CV), which directly relates to material conductivity and may provide an important measure of atrial substrate properties. Including uncertainty in CV calculations would help with interpreting the reliability of these measurements. Here, we build upon a recent insight into reduced-rank Gaussian processes (GP) to perform probabilistic interpolation of uncertain LAT directly on human atrial manifolds. Our Gaussian Process Manifold Interpolation (GPMI) method accounts for the topology of the atria, and allows for calculation of statistics for predicted CV. We demonstrate our method on two clinical cases, and perform validation against a simulated ground truth. CV uncertainty depends on data density, wave propagation direction, and CV magnitude. GPMI is suitable for probabilistic interpolation of other uncertain quantities on non-Euclidean manifolds.

If you want to impress your children with your mental prowess, you might want to give escape rooms a miss and pull out the scrabble board instead. Twentysomethings may have the sharpest minds -- but over-70s have a superior way with words, the Great British Intelligence Test has revealed. The BBC's online test -- developed in tandem with neuroscientists from Imperial College London -- has been taken by more than 250,000 people from across the UK. Researchers found that our ability to solve problems appears to peak in our twenties -- and then declines steadily as we get older. As a result, the experts say that forty-year-old adults have the same problem solving capacities as their twelve-year-old children.

Humans' unique laziness when it comes to interacting on social media could be the key to telling us apart from artificially intelligent'bots', a new study shows. US researchers have identified behavioural trends of humans on Twitter that are absent in social media bots – namely a decrease in tweet length over time. The team studied how the behaviour of humans and bots changed over the course of a session on Twitter relating to political events. While humans get lazier as sessions progress and can't be bothered typing out long tweets, bots maintain consistent levels of engagement over time. Such a behavioural difference could inform new machine learning algorithms for bot detection software.

Blue whales swim to the surface to feed on krill as it helps them to conserve energy, according to a new study that involved amazing drone footage of the mammals. Experts from Oregon State University found that feeding on the ocean's surface plays an important role in the hunt for food among New Zealand blue whales. Blue whales are the largest mammals on Earth and have to carefully balance the cost of energy they get from food with the cost of energy used in getting the food. Researchers say the marine mammals forage for krill in areas where they are densely packed and found near the surface of the water to cut their dive time. The Oregon team found that the blue whales do this to conserve on the energetic costs of feeding such as diving, holding their breath or opening their mouths.

A programmer named Ali Aliev recently developed a method for creating Deepfakes in real-time. To test the project, Aliev pretended to be celebrity billionaire Elon Musk and'accidentally' wandered into the wrong online meeting. I'm not usually a fan of pranks (or Elon Musk, for that matter), but this might be the cutest Zoom-bombing ever made. But, judging by those reactions, it might be convincing enough in the Zoom format due to common resolution and frame rate drops. And if the shocked looks on their faces (check out the one on the left when Fake Musk compliments their hair) aren't the real thing, those are some pretty amazing actors.

The question every organization is – or should be – asking at the dawn of the age of artificial intelligence. When the Internet first launched, it took a while for content to be added to it. At first, it had thousands, then hundreds of thousands, to millions, to billions of pieces of content, and now pretty much everything under the sun exists on the Internet. And with the explosion of content and unfettered access to consumers, businesses began to slowly embrace the Internet. There was an adoption gap, though, between brick and mortar businesses and Internet-based businesses.

Lovo, Inc., an AI voice-over platform developed by a team of AI and machine experts from the Univerity of California-Berkeley, has launched what the company describes as "a human-like voice-over platform" designed for education, marketing, entertainment, and other audio content. The company is presently targeting its Lovo Studio platform for businesses, governments, and other entities, "given the current need for'distance narration' during this period of social distancing" in response to the Covid-19 pandemic. "LOVO Studio provides many options for getting voice-over projects done during these tough times of working remotely, creating marketing videos, educational materials, corporate videos, and other voice-over projects," which have "been very difficult" with so many governments and business offices shuttered, the company emphasized in its announcement. The company said its new Lovo Studio is a sophisticated and easy-to-use platform using AI to … recreate a human voice with emotion and tone gradations which make either cloned or synthesized voices sound very realistic." With the "emotional range and realistic vocal characteristics" that are available, the company said Lovo Studio's "cloned voices are practically indistinguishable from the original voice." The "platform also provides more than 50 other voices, both computer-created and human, from which to choose for any voice work without needing a studio or expensive equipment." A recent graduate from the Fall 2019 UC Berkeley SkyDeck accelerator group, Lovo Studio, generates "a realistic-sounding voice'clone' with only five minutes of a target voice clip," which "during a time of social distancing … makes it very fast and easy to generate online learning materials or voice-overs for remote production projects." "You can hide your emotions behind words, but you can't hide it in your voice.

Researchers from OpenAI, Google Brain, Intel, and 28 other leading organisations have published a paper which proposes a'toolbox' for verifying AI ethics claims. With concerns around AI spanning from dangerous indifference to innovation-halting scaremongering; it's clear there's a need for a system to achieve a healthy balance. "AI systems have been developed in ways that are inconsistent with the stated values of those developing them," the researchers wrote. "This has led to a rise in concern, research, and activism relating to the impacts of AI systems." The researchers note that significant work has gone into articulating ethical principles by many players involved with AI development, but the claims are meaningless without some way to verify them.

Artificial Intelligence (AI) is already re-configuring the world in conspicuous ways. Data drives our global digital ecosystem, and AI technologies reveal patterns in data. Smartphones, smart homes, and smart cities influence how we live and interact, and AI systems are increasingly involved in recruitment decisions, medical diagnoses, and judicial verdicts. Whether this scenario is utopian or dystopian depends on your perspective. The potential risks of AI are enumerated repeatedly.