Technology
2026 Mother's Day gift guide: An updating list of great presents to give your mom
Gear 2026 Mother's Day gift guide: An updating list of great presents to give your mom No matter what your mom is into, we have perfect gift suggestions from budget-friendly options to full-on splurges. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Treat your mom to the treats she deserves. We may earn revenue from the products available on this page and participate in affiliate programs. Type "gifts for mom" into a search bar and the algorithm pulls you toward the same black hole of spa baskets, quippy wine glasses, and bouquets that spew petals all over the floor.
US Senate Candidate Caught Insider Trading on Kalshi Says He Did It on Purpose
Mark Moran, an underdog Senate candidate from Virginia, claims he wanted to get caught violating the prediction market platform's rules. Kalshi announced Wednesday that it had taken action against three US politicians for violating the prediction market platform's rules on insider trading. One of the candidates, Mark Moran, a former investment banker and contestant on the reality dating show, is running a long-shot campaign for US Senate in Virginia against incumbent Mark Warner. According to Moran, getting caught was actually his plan all along: "I bet $100 on myself, not denying that, I did do it," he tells WIRED. "I wanted to see if they would enforce it."
Women Business Leaders on How To Solve AI's Inclusivity Problem
Follow this author to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. When Julie Kim takes over as CEO of pharmaceutical giant Takeda in June, she says she will be proud to be known as the first woman and Korean American to ever lead the company. "If you would have asked me 20-30 years ago, I would have said, 'I want to be known as a good leader, or a good business woman, or a good strategist without those labels," she said.
This shoe is made entirely from mushroom 'brains'
Science This shoe is made entirely from mushroom'brains' Fungi footwear may offer a solution. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Two types of fungi were used to create the boot. Breakthroughs, discoveries, and DIY tips sent six days a week. The fashion industry is ecologically tacky, to put it mildly.
Identification of Gaussian Process State Space Models
Stefanos Eleftheriadis, Tom Nicholson, Marc Deisenroth, James Hensman
The Gaussian process state space model (GPSSM) is a non-linear dynamical system, where unknown transition and/or measurement mappings are described by GPs. Most research in GPSSMs has focussed on the state estimation problem, i.e., computing a posterior of the latent state given the model. However, the key challenge in GPSSMs has not been satisfactorily addressed yet: system identification, i.e., learning the model. To address this challenge, we impose a structured Gaussian variational posterior distribution over the latent states, which is parameterised by a recognition model in the form of a bi-directional recurrent neural network. Inference with this structure allows us to recover a posterior smoothed over sequences of data. We provide a practical algorithm for efficiently computing a lower bound on the marginal likelihood using the reparameterisation trick. This further allows for the use of arbitrary kernels within the GPSSM. We demonstrate that the learnt GPSSM can efficiently generate plausible future trajectories of the identified system after only observing a small number of episodes from the true system.
Scientists sacrifice delicious opossums to fight Florida's invasive pythons
Environment Conservation Land Scientists sacrifice delicious opossums to fight Florida's invasive pythons More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Tracking them during digestion may help curb the snake population. Breakthroughs, discoveries, and DIY tips sent six days a week. Some of Florida's opossums may soon start dying for a noble cause. A few select marsupials fitted with tracking collars may begin to lead scientists to invasive Burmese pythons () slithering through the Everglades.
Principles of Riemannian Geometry in Neural Networks
This study deals with neural networks in the sense of geometric transformations acting on the coordinate representation of the underlying data manifold which the data is sampled from. It forms part of an attempt to construct a formalized general theory of neural networks in the setting of Riemannian geometry. From this perspective, the following theoretical results are developed and proven for feedforward networks. First it is shown that residual neural networks are nite dierence approximations to dynamical systems of rst order dierential equations, as opposed to ordinary networks that are static. This implies that the network is learning systems of dierential equations governing the coordinate transformations that represent the data. Second it is shown that a closed form solution of the metric tensor on the underlying data manifold can be found by backpropagating the coordinate representations learned by the neural network itself. This is formulated in a formal abstract sense as a sequence of Lie group actions on the metric bre space in the principal and associated bundles on the data manifold. Toy experiments were run to conrm parts of the proposed theory, as well as to provide intuitions as to how neural networks operate on data.