Given an instance, a multi-event survival model predicts the time until that instance experiences each of several different events. These events are not mutually exclusive and there are often statistical dependencies between them. There are relatively few multi-event survival results, most focusing on producing a simple risk score, rather than the time-to-event itself. To overcome these issues, we introduce MENSA, a novel, deep learning approach for multi-event survival analysis that can jointly learn representations of the input covariates and the dependence structure between events. As a practical motivation for multi-event survival analysis, we consider the problem of predicting the time until a patient with amyotrophic lateral sclerosis (ALS) loses various physical functions, i.e., the ability to speak, swallow, write, or walk. When estimating when a patient is no longer able to swallow, our approach achieves an L1-Margin loss of 278.8 days, compared to 355.2 days when modeling each event separately. In addition, we also evaluate our approach in single-event and competing risk scenarios by modeling the censoring and event distributions as equal contributing factors in the optimization process, and show that our approach performs well across multiple benchmark datasets. The source code is available at: https://github.com/thecml/mensa

A 12-year-old boy who scored the maximum in an IQ test says football still comes first. Rory Bidwell, from Great Torrington, Devon, joined the ranks of Mensa after acing the Cattell III B test with 162, the top score for children. This is above what is believed to be a score of 160 for Albert Einstein, and in the top 2% of the population. Rory is also a keen sportsman and said he would prefer a career in football because it is "what I love".Image source, Family pictureImage caption, The keen sportsman also enjoys gaming and going out to the park Rory said he felt "really good" and "fantastic" after taking the test which his mother had suggested he take. "I knew nothing about Mensa before the test, no preparation," he said.

Unsupervised domain adaptation (UDA) addresses the problem of distribution shift between the unlabelled target domain and labelled source domain. While the single target domain adaptation (STDA) is well studied in the literature for both 2D and 3D vision tasks, multi-target domain adaptation (MTDA) is barely explored for 3D data despite its wide real-world applications such as autonomous driving systems for various geographical and climatic conditions. We establish an MTDA baseline for 3D point cloud data by proposing to mix the feature representations from all domains together to achieve better domain adaptation performance by an ensemble average, which we call Mixup Ensemble Average or MEnsA. With the mixed representation, we use a domain classifier to improve at distinguishing the feature representations of source domain from those of target domains in a shared latent space. In empirical validations on the challenging PointDA-10 dataset, we showcase a clear benefit of our simple method over previous unsupervised STDA and MTDA methods by large margins (up to 17.10% and 4.76% on averaged over all domain shifts).

These are the people who qualify for membership in Mensa, an exclusive international society open only to people who score at or above the 98th percentile on an IQ or other standardized intelligence test. Mensa's mission remains the same as when it was founded in Oxford, England, in 1946: To identify and nurture human intelligence for humanity's benefit, to foster research in the nature of intelligence, and to provide social and other opportunities for its members. Nautilus spoke with five present and former members of the society: Richard Hunter, a retired finance director at a drinks distributor; journalist Jack Williams; Bikram Rana, a director at a business consulting firm; LaRae Bakerink, a business consultant; and clinical hypnotist John Sheehan. Together, they reflect on the meaning of genius, whether it can be measured, and what IQ has to do with it. If you pass that test, all it proves is that you have a certain IQ. That is not the same as making you an intelligent person, never mind a genius.

Geniuses come in all forms, from aerospace engineers and artificial intelligence experts to creative storytellers and environmental advocates. Might you be a genius, too? TIME asked the wise guys (and girls) at Mensa, the world's oldest and arguably best-known society for smart people, to help us create this simple 10-question quiz that puts your noggin to the test. If you can correctly answer the brain teasers below, you just might have what it takes to earn the title "genius."