Breakthroughs, discoveries, and DIY tips sent every weekday. You can now own a 1 gold coin celebrating one of America's most revolutionary achievements: the NASA Space Shuttle program. The latest variant in the ongoing American Innovation 1 Coin series is available to order through the United States Mint. Selected to represent the state of Florida, the noncirculating legal tender is the third coin released this year and the 28th coin in the 15-year project first announced in 2018. While the coin's front displays the series' Statue of Liberty image, the back shows the shuttle launching above plumes of exhaust.

Elon Musk's Tesla plans to roll-out self-driving'robotaxis' in just a few weeks, but auto safety officials may force the billionaire to cancel his long-awaited dream Tesla was set to launch the service next month in Austin, Texas, unleashing taxis powered by its Full Self-Driving (FSD) program. The National Highway Traffic Safety Administration (NHTSA) recently caught wind of Musk's upcoming rollout and sent the company a letter to gather additional information. The NHTSA wants to ' understand how Tesla plans to evaluate its vehicles and driving automation technologies for use on public roads' before the robotaxis are unleashed on busy Austin streets. The agency highlighted its investigations into four crashes and a pedestrian linked to Tesla's FDS. The blow has led to Musk's critics suggesting he will have to put a pin in his plans.

Wild salmon are essential to the ecological, economic, and cultural sustainability of the North Pacific Rim. Y et climate variability, habitat loss, and data limitations in remote ecosystems that lack basic infrastructure support pose significant challenges to effective fisheries management. This project explores the integration of multimodal foundation AI and expert-in-the-loop frameworks to enhance wild salmon monitoring and sustainable fisheries management in Indigenous rivers across Pacific Northwest. By leveraging video and sonar-based monitoring, we develop AI-powered tools for automated species identification, counting, and length measurement, reducing manual effort, expediting delivery of results, and improving decision-making accuracy. Expert validation and active learning frameworks ensure ecological relevance while reducing annotation burdens. To address unique technical and societal challenges, we bring together a cross-domain, interdisciplinary team of university researchers, fisheries biologists, Indigenous stewardship practitioners, government agencies, and conservation organizations. Through these collaborations, our research fosters ethical AI co-development, open data sharing, and culturally informed fisheries management.

Machine learning has become a powerful tool for enhancing data assimilation. While supervised learning remains the standard method, reinforcement learning (RL) offers unique advantages through its sequential decision-making framework, which naturally fits the iterative nature of data assimilation by dynamically balancing model forecasts with observations. We develop RL-DAUNCE, a new RL-based method that enhances data assimilation with physical constraints through three key aspects. First, RL-DAUNCE inherits the computational efficiency of machine learning while it uniquely structures its agents to mirror ensemble members in conventional data assimilation methods. Second, RL-DAUNCE emphasizes uncertainty quantification by advancing multiple ensemble members, moving beyond simple mean-state optimization. Third, RL-DAUNCE's ensemble-as-agents design facilitates the enforcement of physical constraints during the assimilation process, which is crucial to improving the state estimation and subsequent forecasting. A primal-dual optimization strategy is developed to enforce constraints, which dynamically penalizes the reward function to ensure constraint satisfaction throughout the learning process. Also, state variable bounds are respected by constraining the RL action space. Together, these features ensure physical consistency without sacrificing efficiency. RL-DAUNCE is applied to the Madden-Julian Oscillation, an intermittent atmospheric phenomenon characterized by strongly non-Gaussian features and multiple physical constraints. RL-DAUNCE outperforms the standard ensemble Kalman filter (EnKF), which fails catastrophically due to the violation of physical constraints. Notably, RL-DAUNCE matches the performance of constrained EnKF, particularly in recovering intermittent signals, capturing extreme events, and quantifying uncertainties, while requiring substantially less computational effort.

Multivariate time series forecasting is crucial across various industries, where accurate extraction of complex periodic and trend components can significantly enhance prediction performance. However, existing models often struggle to capture these intricate patterns. To address these challenges, we propose FilterTS, a novel forecasting model that utilizes specialized filtering techniques based on the frequency domain. FilterTS introduces a Dynamic Cross-V ariable Filtering Module, a key innovation that dynamically leverages other variables as filters to extract and reinforce shared variable frequency components across variables in multivariate time series. Additionally, a Static Global Filtering Module captures stable frequency components, identified throughout the entire training set. Moreover, the model is built in the frequency domain, converting time-domain convolutions into frequency-domain multiplicative operations to enhance computational efficiency. Extensive experimental results on eight real-world datasets have demonstrated that FilterTS significantly outperforms existing methods in terms of prediction accuracy and computational efficiency.

President Trump's tariff standoff with China has caused chaos, confusion, and major delays for companies of all shapes and sizes. As everyone waits to see what happens next, some businesses that depend on international trade are already feeling major impacts, saying that they might not meet their production deadlines. And one of those deadlines is pretty important: Christmas. Today on the show, we're joined by WIRED's senior business editor Louise Matsakis to talk through the latest on tariffs. Mentioned in this episode: Donald Trump Is Already Ruining Christmas by Zeyi Yang OpenAI Adds Shopping to ChatGPT in a Challenge to Google by Reece Rogers The Agonizing Task of Turning Europe's Power Back On by Natasha Bernal Write to us at uncannyvalley@wired.com.

Lauren Bannon says ChatGPT helped diagnose her with cancer. 'LUCKY TO BE ALIVE': A mother of two credits ChatGPT for saving her life, claiming the artificial intelligence chatbot flagged the condition leading to her cancer when doctors missed it. AUTONOMY TEST RUN: Robotaxis are closer to becoming a reality, after Tesla launched a full self-driving (FSD) supervised ride-hailing service in Austin, Texas, and the San Francisco Bay Area "for an early set of employees." HARVESTING YOUR DATA?: A powerful House Committee is demanding information from DeepSeek on what U.S. data it used to train the AI model as members accuse the company of being in the pocket of the Chinese government. EDUCATION REFORMS: President Donald Trump signed multiple Executive Orders relating to education Wednesday afternoon, with several tied to the theme of returning meritocracy back to the education system.

Kuala Lumpur, Malaysia – China's President Xi Jinping has arrived in Malaysia as part of a Southeast Asian tour which is seen as delivering a personal message that Beijing is a more reliable trading partner than the United States amid a bruising trade war with Washington. Xi arrived in the capital, Kuala Lumpur, on Tuesday evening in what is his first visit to Malaysia since 2013. He flew in from Vietnam where he had signed dozens of trade cooperation agreements in Hanoi on everything from artificial intelligence to rail development. On touching down, Xi said that deepening "high-level strategic cooperation" was good for the common interests of both China and Malaysia, and good for peace, stability and prosperity in the region and the world", according to the official Malaysian news agency Bernama. Xi's three-country tour and his "message" that Beijing is Southeast Asia's better friend than the truculent administration of US President Donald Trump comes as many countries in the 10-member Association of Southeast Asian Nations (ASEAN) bloc are unhappy with their treatment after the US imposed huge tariffs on countries around the world. "This is a very significant visit.

Ocean microbes are critical to both ocean ecosystems and the global climate. Flow cytometry, which measures cell optical properties in fluid samples, is routinely used in oceanographic research. Despite decades of accumulated data, identifying key microbial populations (a process known as ``gating'') remains a significant analytical challenge. To address this, we focus on gating multidimensional, high-frequency flow cytometry data collected {\it continuously} on board oceanographic research vessels, capturing time- and space-wise variations in the dynamic ocean. Our paper proposes a novel mixture-of-experts model in which both the gating function and the experts are given by trend filtering. The model leverages two key assumptions: (1) Each snapshot of flow cytometry data is a mixture of multivariate Gaussians and (2) the parameters of these Gaussians vary smoothly over time. Our method uses regularization and a constraint to ensure smoothness and that cluster means match biologically distinct microbe types. We demonstrate, using flow cytometry data from the North Pacific Ocean, that our proposed model accurately matches human-annotated gating and corrects significant errors.

The rapid proliferation of AI in our lives introduces new challenges around authorship, authenticity, and ethics in work and art. But it also offers a particularly human problem in narrative: How can we make sense of these machines, not just use them? And how do the words we choose and stories we tell about technology affect the role we allow it to take on (or even take over) in our creative lives? Both Vara's book and The Uncanny Muse, a collection of essays on the history of art and automation by the music critic David Hajdu, explore how humans have historically and personally wrestled with the ways in which machines relate to our own bodies, brains, and creativity. At the same time, The Mind Electric, a new book by a neurologist, Pria Anand, reminds us that our own inner workings may not be so easy to replicate.