Google’s ‘Create My Widget’ feature will let you vibe code your own widgets
The new feature will first launch on the latest Samsung Galaxy and Google Pixel phones this summer.
The new feature will first launch on the latest Samsung Galaxy and Google Pixel phones this summer.
We didn’t start with a big strategy. We just wanted to move faster. We had APIs, Swagger specs, and a lot of repetitive work; validation, mock data, test payloads. So thought, “Why not let the LLM handle it?” and started a POC on it. It sounded right. And honestly, in the beginning, it worked. We gave it the spec, asked LLM to generate payloads, validate inputs, even simulate flows. The output looked clean. Demos went smoothly. Everyone was […]
arXiv:2601.07945v1 Announce Type: new Abstract: We propose a deterministic and time-efficient contact-aware path planner for neurovascular navigation. The algorithm leverages information from pre- and intra-operative images of the vessels to navigate pre-bent passive tools, by intelligently predicting and exploiting interactions with the anatomy. A kinematic model is derived and employed by the sampling-based planner for tree expansion that utilizes simplified motion primitives. This approach enables fast computation of the feasible path, with negligible loss in accuracy, as demonstrated […]
He predicted the 2008 crash, now Professor Steve Keen warns the Iran war is coming for your food prices. Professor Steve Keen is the world’s first rebel economist to predict the 2008 financial crisis years before it happened, based on his proprietary data software, Ravel©. He has spent over 30 years as an academic, and is currently a visiting scholar at the University of Amsterdam. He explains: ◼ Why your food prices could double and the one resource […]
arXiv:2603.23569v1 Announce Type: new Abstract: Equal-contribution authorship, in which two or more authors are designated as having contributed equally, is increasingly common in scientific publishing. Using approximately 480,000 tagged records from PubMed and PMC (2010-2024), we examine temporal trends, journal-level patterns, geographic distributions, and byline positions of equal-contributing authors. Results show a sharp rise after 2017, with both high-output mega-journals and smaller, discipline-specific journals contributing to the growth. Journal-level analysis indicates a median increase in the share of […]
arXiv:2603.00538v1 Announce Type: new Abstract: This paper introduces a new method for performing field transfer operations in black-box coupling, when source discretization information is not available. This approach uses a stochastic approximation of the Galerkin projection which leads to a method that asymptotically provides conservation. Error in the accuracy and conservation has been compared to the mesh intersection method and radial basis functions on a simple domain, as well as on meshes of the LTX fusion reactor. For […]
The Multiple Traveling Salesman Problem (mTSP) extends the Traveling Salesman Problem to m tours that start and end at a common depot and jointly visit all customers exactly once. In the min-max variant, the objective is to minimize the longest tour, reflecting workload balance. We propose a hybrid approach, Construct, Merge, Solve & Adapt with Reinforcement Learning (RL-CMSA), for the symmetric single-depot min-max mTSP. The method iteratively constructs diverse solutions using probabilistic clustering guided by learned pairwise q-values, […]
arXiv:2601.12230v1 Announce Type: new Abstract: We study classical-quantum (C-Q) channel resolvability. C-Q channel resolvability has been proved by only random coding in the literature. In our previous study, we proved channel resolvability by deterministic coding, using multiplicative weight update algorithm. We extend this approach to C-Q channels and prove C-Q channel resolvability by deterministic coding, using the matrix multiplicative weight update algorithm. This is the first approach to C-Q channel resolvability using deterministic coding.
arXiv:2603.26667v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) has become a widely adopted paradigm for enhancing the reliability of large language models (LLMs). However, RAG systems are sensitive to retrieval strategies that rely on text chunking to construct retrieval units, which often introduce information fragmentation, retrieval noise, and reduced efficiency. Recent work has even questioned the necessity of RAG, arguing that long-context LLMs may eliminate multi-stage retrieval pipelines by directly processing full documents. Nevertheless, expanded context capacity alone […]
The life of a prescription at Amazon Pharmacy From pricing estimation and regulatory compliance to inventory management and chatbot assistants, machine learning models help Amazon Pharmacy customers stay healthy and save time and money. Conversational AI Alexandre Alves Anita Vila September 30, 01:32 PM October 02, 11:42 AM Pharmacies play a vital role in ensuring patients health, but the process of dispensing medications is far more complex than it may appear. At Amazon Pharmacy, we are using artificial […]