Tinder is charging young gay and lesbian users and people over 30 up to 48 per cent more for its premium service, an investigation has revealed. Consumer group Which? said its findings suggest possible discrimination and a potential breach of UK law by the popular dating app. Tinder said it was'categorically untrue' that its pricing structure discriminates by sexual preference. It would not explain why people are charged different prices for its Tinder Plus service, rather than just a blanket fee, but did admit that older people have to pay more in some countries. The dating app claimed that this price difference was'a discount for younger users', but Which?

Intelligent physical systems as embodied cognitive systems must perform high-level reasoning while concurrently managing an underlying control architecture. The link between cognition and control must manage the problem of converting continuous values from the real world to symbolic representations (and back). To generate effective behaviors, reasoning must include a capacity to replan, acquire and update new information, detect and respond to anomalies, and perform various operations on system goals. But, these processes are not independent and need further exploration. This paper examines an agent's choices when multiple goal operations co-occur and interact, and it establishes a method of choosing between them. We demonstrate the benefits and discuss the trade offs involved with this and show positive results in a dynamic marine search task.

Geometric deep learning (GDL) has made great strides towards generalizing the design of structure-aware neural network architectures from traditional domains to non-Euclidean ones, such as graphs. This gave rise to graph neural network (GNN) models that can be applied to graph-structured datasets arising, for example, in social networks, biochemistry, and material science. Graph convolutional networks (GCNs) in particular, inspired by their Euclidean counterparts, have been successful in processing graph data by extracting structure-aware features. However, current GNN models (and GCNs in particular) are known to be constrained by various phenomena that limit their expressive power and ability to generalize to more complex graph datasets. Most models essentially rely on low-pass filtering of graph signals via local averaging operations, thus leading to oversmoothing. Here, we propose a hybrid GNN framework that combines traditional GCN filters with band-pass filters defined via the geometric scattering transform. We further introduce an attention framework that allows the model to locally attend over the combined information from different GNN filters at the node level. Our theoretical results establish the complementary benefits of the scattering filters to leverage structural information from the graph, while our experiments show the benefits of our method on various learning tasks.

To fit sparse linear associations, a LASSO sparsity inducing penalty with a single hyperparameter provably allows to recover the important features (needles) with high probability in certain regimes even if the sample size is smaller than the dimension of the input vector (haystack). More recently learners known as artificial neural networks (ANN) have shown great successes in many machine learning tasks, in particular fitting nonlinear associations. Small learning rate, stochastic gradient descent algorithm and large training set help to cope with the explosion in the number of parameters present in deep neural networks. Yet few ANN learners have been developed and studied to find needles in nonlinear haystacks. Driven by a single hyperparameter, our ANN learner, like for sparse linear associations, exhibits a phase transition in the probability of retrieving the needles, which we do not observe with other ANN learners. To select our penalty parameter, we generalize the universal threshold of Donoho and Johnstone (1994) which is a better rule than the conservative (too many false detections) and expensive cross-validation. In the spirit of simulated annealing, we propose a warm-start sparsity inducing algorithm to solve the high-dimensional, non-convex and non-differentiable optimization problem. We perform precise Monte Carlo simulations to show the effectiveness of our approach.

It highlighted the Sultanate's infrastructure readiness for Artificial Intelligence (AI) as an embodiment of Oman's Vision 2040, and the digital transformation strategy announced by the Ministry of Transport, Communications and Information Technology, which aim at promoting and accelerating the digital transformation of the government sectors and services in Oman in line with the global technical development. Above 30 ministries, authorities and establishments participated in the workshop. The workshop targeting all government entities came within the framework of ODP's national efforts that aim at contributing to accelerating the Sultanate digital transformation, through utilising the Artificial Intelligence applications (AI) and the cost-effective and efficient support available through Oman Data Park's Nebula AI infrastructure which is powered by Nvidia and hosted in Oman. The delivered content of the workshop included an AI transformation roadmap for government entities, their cyber security solutions, a framework for creating an AI project within the public sector and highlighted the action of the national programme for adopting Artificial Intelligence and Advanced Technologies in the Sultanate. The holding of the workshop comes in light of the Sultanate's interest in accelerating the adoption of Artificial Intelligence, while the Sultanate has designated a National Programme for Artificial Intelligence and Advanced Technologies in the year 2020, within the Ministry of Transport, Communications, and Information Technology (MTCIT).

The selfie is taken on a mobile device and then uploaded ID.me, a third-party identity verification company that will use its own facial recognition to verify the individual US taxpayers will have to submit a video selfie to access certain Internal Revenue Service (IRS) tools and applications starting this summer. The selfie is taken on a mobile device and then uploaded to ID.me, a third-party identity verification company that will use its own facial recognition to verify the individual. Once verified, the taxpayer will be asked to upload their government ID and copies of bills. Users can access basic information on the IRS without logging into ID.me, but the unique sign in will be required to make and view payments, access tax records, view or create payment plans, manage communications preference or view tax professional authorizations. However, this process is not a requirement to file taxes.

Federal regulators have also recently homed in on Autopilot over reports of crashes while it was activated. Over the summer the National Highway Traffic Safety Administration, the country's top federal auto safety regulator, launched a formal probe into a dozen crashes involving parked emergency vehicles while Autopilot was active. One person was killed and at least 17 people were injured in the crashes.

WHEN CORPORATE bosses want to impress investors they increasingly reach for the i-word. Mentions of "innovation" during the earnings calls of S&P500 firms have almost doubled in the past decade. And no other sector talks about it as much as the technology companies do. For Hewlett-Packard, a printer and personal-computer maker, innovation has on occasion become what location is to estate agents and education to Tony Blair: so important it has to be said three times in quick succession. Your browser does not support the audio element. Do they protest too much?

Elon Musk has demonstrated the Neuralink brain chip in a pig, a monkey and we could soon see preform in a human brain. The firm posted a new job listing for a clinical trial director, which says the right candidate will'work closely with some of the most innovative doctors and top engineers, as well as working with Neuralink's first Clinical Trial participants.' The position is based in Fremont, California and provides the candidate with commuter benefits, meals and'an opportunity to change the world.' It also indicates that the job will mean leading and building'the team responsible for enabling Neuralink's clinical research activities,' as well as adhering to regulations. Neuralink posted a new job listing, first spotted by Bloomberg, for a clinical trial director, which says the right candidate will'work closely with some of the most innovative doctors and top engineers, as well as working with Neuralink's first Clinical Trial participants Although the posting does not say when the trials will begin, Musk revealed last month that they are less than a year away - meaning human trials could start this year.

Elon Musk's brain implant company Neuralink is now hiring a clinical trial director, an indication that the company's longstanding goal of implanting chips in human brains is coming closer. The trial director position would oversee the startup's long-promised human trials of its medical device, according to the listing. Neuralink's brain implant -- which Musk has said already allows monkeys to play video games with their thoughts alone -- is intended to help treat a variety of neurological disorders, such as paralysis. The job description for the position, based in Fremont, California, promises that the applicant will "work closely with some of the most innovative doctors and top engineers" as well as with "Neuralink's first Clinical Trial participants." It also indicates that the job will mean leading and building "the team responsible for enabling Neuralink's clinical research activities," as well as adhering to regulations.