March 2026

Anduril, the autonomous weapons maker, doubles the size of its space unit

Anduril, the autonomous weapons maker, doubles the size of its space unit

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Anduril Industries announced on Wednesday that it is acquiring ExoAnalytic Solutions, a space intelligence firm that operates a vast network of sensors monitoring the veiled movements of satellites thousands of miles above Earth. “For nearly twenty years, ExoAnalytic has delivered important advantage[s] for the nation’s most critical missions,” Anduril said in a press release. “Exo is a renowned leader in modeling and simulation for classified national security space programs, and provides critical software and expertise for missile warning […]

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Bio-Inspired Self-Supervised Learning for Wrist-worn IMU Signals

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Wearable accelerometers have enabled large-scale health and wellness monitoring, yet learning robust human-activity representations has been constrained by the scarcity of labeled data. While self-supervised learning offers a potential remedy, existing approaches treat sensor streams as unstructured time series, overlooking the underlying biological structure of human movement, a factor we argue is critical for effective Human Activity Recognition (HAR). We introduce a novel tokenization strategy grounded in the submovement theory of motor control, which posits that continuous wrist […]

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Nvidia is reportedly planning its own open source OpenClaw competitor

Nvidia is reportedly planning its own open source OpenClaw competitor

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Chipmaker Nvidia is preparing to launch its own open source AI agent platform to compete with the likes of OpenClaw, according to a recent Wired report. The magazine cites “people familiar with the company’s plans” in reporting that Nvidia has been pitching the platform, which it is calling NemoClaw, to various corporate partners ahead of its annual developer conference next week. Salesforce, Cisco, Google, Adobe, and CrowdStrike are among the companies said to be in talks for those […]

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Deep regression learning from dependent observations with minimum error entropy principle

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This paper considers nonparametric regression from strongly mixing observations. The proposed approach is based on deep neural networks with minimum error entropy (MEE) principle. We study two estimators: the non-penalized deep neural network (NPDNN) and the sparse-penalized deep neural network (SPDNN) predictors. Upper bounds of the expected excess risk are established for both estimators over the classes of Hölder and composition Hölder functions. For the models with Gaussian error, the rates of the upper bound obtained match (up […]

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New MIT class uses anthropology to improve chatbots

New MIT class uses anthropology to improve chatbots

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Young adults growing up in the attention economy — preparing for adult life, with social media and chatbots competing for their attention — can easily fall into unhealthy relationships with digital platforms. But what if chatbots weren’t mere distractions from real life? Could they be designed humanely, as moral partners whose digital goal is to be a social guide rather than an addictive escape? At MIT, a friendship between two professors — one an anthropologist, the other a […]

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NCAA Bracket Prediction Using Machine Learning and Combinatorial Fusion Analysis

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Machine learning models have demonstrated remarkable success in sports prediction in the past years, often treating sports prediction as a classification task within the field. This paper introduces new perspectives for analyzing sports data to predict outcomes more accurately. We leverage rankings to generate team rankings for the 2024 dataset using Combinatorial Fusion Analysis (CFA), a new paradigm for combining multiple scoring systems through the rank-score characteristic (RSC) function and cognitive diversity (CD). Our result based on rank […]

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Designing AI agents that know when to step back

Designing AI agents that know when to step back

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Agentic AI is taking off, and for good reason. AI agents can now write code, conduct research, plan travel, handle customer service, and more. Yet amid the excitement about what AI agents can do, a key question has been neglected: how do we design the human side of the equation? That question is critical, because agentic AI isn’t just another feature to bolt onto existing products. It’s a fundamentally different kind of software that demands fresh thinking. Unlike […]

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Ergodicity in reinforcement learning

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In reinforcement learning, we typically aim to optimize the expected value of the sum of rewards an agent collects over a trajectory. However, if the process generating these rewards is non-ergodic, the expected value, i.e., the average over infinitely many trajectories with a given policy, is uninformative for the average over a single, but infinitely long trajectory. Thus, if we care about how the individual agent performs during deployment, the expected value is not a good optimization objective. […]

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NIH director launches "Scientific Freedom" lectures with non-scientist

NIH director launches “Scientific Freedom” lectures with non-scientist

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On Tuesday, word spread that the National Institutes of Health was launching a series of what it’s calling “Scientific Freedom Lectures,” with the first scheduled for March 20. The “freedom” theme echoes one of the major concerns of the director of the NIH, Jay Bhattacharya, who feels he suffered outrageous censorship of his ideas during the pandemic and is using his anger about it to fuel his efforts to bring change to the NIH. Given that scientific freedom […]

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Verdict: Yes, you should go see Project Hail Mary as soon as possible

Verdict: Yes, you should go see Project Hail Mary as soon as possible

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First, in the plainest language, before we get to anything else, Project Hail Mary is a fantastic film. It does right by its source material, and it also easily stands on its own for folks who haven’t read the book. It comes out on March 20, and if you’re a regular Ars Technica reader, you will almost certainly enjoy the crap out of it. Go see it as soon as you can, and see it in a theater […]

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