How are you, hacker? 🪐 What’s happening in tech today, February 28, 2026? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, we present you with these top quality stories. From Why “Small Changes” Don’t Exist in Production Game Systems to How to Navigate Identity, Direction, Story, and Sovereignty in the Age of AI, let’s dive right in. Why “Small Changes” Don’t Exist in Production Game Systems By @ktdevjournal [ 5 Min read […]

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arXiv:2603.05483v1 Announce Type: cross Abstract: Estimating heterogeneous treatment effects (HTEs) from right-censored survival data is critical in high-stakes applications such as precision medicine and individualized policy-making. Yet, the survival analysis setting poses unique challenges for HTE estimation due to censoring, unobserved counterfactuals, and complex identification assumptions. Despite recent advances, from Causal Survival Forests to survival meta-learners and outcome imputation approaches, evaluation practices remain fragmented and inconsistent. We introduce SurvHTE-Bench, the first comprehensive benchmark for HTE estimation with censored […]

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arXiv:2602.15238v1 Announce Type: new Abstract: Adversarial training for LLMs is one of the most promising methods to reliably improve robustness against adversaries. However, despite significant progress, models remain vulnerable to simple in-distribution exploits, such as rewriting prompts in the past tense or translating them into other languages. We argue that this persistent fragility stems from a fundamental limitation in current adversarial training algorithms: they minimize adversarial loss on their training set but inadequately cover the data distribution, resulting […]

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I’ve been revisiting Batman: Arkham Knight, and I’ve forgotten how much I loved the game. I also forgot how much the Batmobile plays a crucial part in the whole game, like immensely. But anyway, I’ve also gone back and replayed the DLC. This game had a lot of it, including 6 Arkham episodes, each featuring a different member of the Bat Family (plus Harley). Let’s take a look at all of them and rank them from least good […]

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arXiv:2603.00716v1 Announce Type: cross Abstract: We study computationally and statistically efficient reinforcement learning under the linear $Q^{pi}$ realizability assumption, where any policy’s $Q$-function is linear in a given state-action feature representation. Prior methods in this setting are either computationally intractable, or require (local) access to a simulator. In this paper, we propose a computationally efficient online RL algorithm, named Frozen Policy Iteration, under the linear $Q^{pi}$ realizability setting that works for Markov Decision Processes (MDPs) with stochastic initial […]

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arXiv:2601.02422v1 Announce Type: new Abstract: Multi-modal reasoning requires the seamless integration of visual and linguistic cues, yet existing Chain-of-Thought methods suffer from two critical limitations in cross-modal scenarios: (1) over-reliance on single coarse-grained image regions, and (2) semantic fragmentation between successive reasoning steps. To address these issues, we propose the CoCoT (Collaborative Coross-modal Thought) frame- work, built upon two key innovations: a) Dynamic Multi-Region Grounding to adaptively detect the most relevant image regions based on the question, and […]

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arXiv:2603.22437v1 Announce Type: new Abstract: We present mmFHE, the first system that enables fully homomorphic encryption (FHE) for end-to-end mmWave radar sensing. mmFHE encrypts raw range profiles on a lightweight edge device and executes the entire mmWave signal-processing and ML inference pipeline homomorphically on an untrusted cloud that operates exclusively on ciphertexts. At the core of mmFHE is a library of seven composable, data-oblivious FHE kernels that replace standard DSP routines with fixed arithmetic circuits. These kernels can […]

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Never has financial crime been more advanced. In the estimation of money laundered annually, two to five percent of the world’s GDP is the amount involved, and this figure denotes the presence and magnitude of financial crime in the global financial sector. Criminal networks are still streamlining their operations. This implies that compliance is no longer just a regulatory obligation for financial institutions. It has also become a strategic function that protects trust, stability, and reputation. As the […]

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arXiv:2603.10053v1 Announce Type: new Abstract: The Pickup and Delivery Problem (PDP) is a fundamental and challenging variant of the Vehicle Routing Problem, characterized by tightly coupled pickup–delivery pairs, precedence constraints, and spatial layouts that often exhibit clustering. Existing deep reinforcement learning (DRL) approaches either model all nodes on a flat graph, relying on implicit learning to enforce constraints, or achieve strong performance through inference-time collaborative search at the cost of substantial latency. In this paper, we propose emph{CAADRL} […]

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