March 2026

Sorting algorithms

Sorting algorithms

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Sorting algorithms Today in animated explanations built using Claude: I’ve always been a fan of animated demonstrations of sorting algorithms so I decided to spin some up on my phone using Claude Artifacts, then added Python’s timsort algorithm, then a feature to run them all at once. Here’s the full sequence of prompts: Interactive animated demos of the most common sorting algorithms This gave me bubble sort, selection sort, insertion sort, merge sort, quick sort, and heap sort. […]

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Multilingual Financial Fraud Detection Using Machine Learning and Transformer Models: A Bangla-English Study

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Financial fraud detection has emerged as a critical research challenge amid the rapid expansion of digital financial platforms. Although machine learning approaches have demonstrated strong performance in identifying fraudulent activities, most existing research focuses exclusively on English-language data, limiting applicability to multilingual contexts. Bangla (Bengali), despite being spoken by over 250 million people, remains largely unexplored in this domain. In this work, we investigate financial fraud detection in a multilingual Bangla-English setting using a dataset comprising legitimate and […]

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Teleodynamic Learning a new Paradigm For Interpretable AI

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We introduce Teleodynamic Learning, a new paradigm for machine learning in which learning is not the minimization of a fixed objective, but the emergence and stabilization of functional organization under constraint. Inspired by living systems, this framework treats intelligence as the coupled evolution of three quantities: what a system can represent, how it adapts its parameters, and which changes its internal resources can sustain. We formalize learning as a constrained dynamical process with two interacting timescales: inner dynamics […]

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3 Questions: On the future of AI and the mathematical and physical sciences

3 Questions: On the future of AI and the mathematical and physical sciences

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Curiosity-driven research has long sparked technological transformations. A century ago, curiosity about atoms led to quantum mechanics, and eventually the transistor at the heart of modern computing. Conversely, the steam engine was a practical breakthrough, but it took fundamental research in thermodynamics to fully harness its power.  Today, artificial intelligence and science find themselves at a similar inflection point. The current AI revolution has been fueled by decades of research in the mathematical and physical sciences (MPS), which […]

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Report: RFK Jr.’s anti-vaccine agenda curbed as GOP realizes it's unpopular

Report: RFK Jr.’s anti-vaccine agenda curbed as GOP realizes it’s unpopular

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Health Secretary Robert F. Kennedy Jr.’s relentless anti-vaccine agenda is getting reined in as Republicans warn that further attacks on lifesaving vaccines could harm the party during the midterms, according to a report by The Washington Post. The Post reported Wednesday that Kennedy’s hand-selected committee of vaccine advisors—who share his anti-vaccine views—have abruptly abandoned plans to attack mRNA vaccines in an upcoming meeting. The Advisory Committee on Immunization Practices (ACIP) for the Centers for Disease Control and Prevention […]

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FCC chair blasts Amazon after it criticizes SpaceX megaconstellation

FCC chair blasts Amazon after it criticizes SpaceX megaconstellation

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It is fairly common for satellite companies to verbally spar over constellations, battling over territory such as preferred orbits and the electromagnetic spectrum for data transmission. The venue for such disputes is often the Federal Communications Commission, which has regulatory authority over satellite communications. Everyone pretty much fights with everyone, but of late, the exchanges between SpaceX and Amazon have turned a bit nasty. And on Wednesday, the FCC chairman weighed in against Amazon. The issue of the […]

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Ill-Conditioning in Dictionary-Based Dynamic-Equation Learning: A Systems Biology Case Study

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Data-driven discovery of governing equations from time-series data provides a powerful framework for understanding complex biological systems. Library-based approaches that use sparse regression over candidate functions have shown considerable promise, but they face a critical challenge when candidate functions become strongly correlated: numerical ill-conditioning. Poor or restricted sampling, together with particular choices of candidate libraries, can produce strong multicollinearity and numerical instability. In such cases, measurement noise may lead to widely different recovered models, obscuring the true underlying […]

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Meta-Reinforcement Learning with Self-Reflection for Agentic Search

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This paper introduces MR-Search, an in-context meta reinforcement learning (RL) formulation for agentic search with self-reflection. Instead of optimizing a policy within a single independent episode with sparse rewards, MR-Search trains a policy that conditions on past episodes and adapts its search strategy across episodes. MR-Search learns to learn a search strategy with self-reflection, allowing search agents to improve in-context exploration at test-time. Specifically, MR-Search performs cross-episode exploration by generating explicit self-reflections after each episode and leveraging them […]

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14,000 routers are infected by malware that's highly resistant to takedowns

14,000 routers are infected by malware that’s highly resistant to takedowns

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Researchers say they have uncovered a takedown-resistant botnet of 14,000 routers and other network devices—primarily made by Asus—that have been conscripted into a proxy network that anonymously carries traffic used for cybercrime. The malware—dubbed KadNap—takes hold by exploiting vulnerabilities that have gone unpatched by their owners, Chris Formosa, a researcher at security firm Lumen’s Black Lotus Labs, told Ars. The high concentration of Asus routers is likely due to botnet operators acquiring a reliable exploit for vulnerabilities affecting […]

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Anthropic announces new institute to study the impact of powerful AI systems

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Anthropic has been trending all over the news lately following its conflict with the Department of Defense (DoD). After negotiation talks broke down with the Pentagon, the Trump administration labeled it a supply-chain risk in the U.S. However, Anthropic is reportedly getting backing from employees at OpenAI and Google Deepmind. Since, impact of powerful AI system has become a hot topic in the tech industry these days, Anthropic has announced an initiative that focuses on studying the same. […]

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