AI-Assisted Coding

Gamers are invited to enter PlayStation worlds through Sony's “Playerbase” program, which will scan one fan into "Gran Turismo 7," with other titles expected to

This post walks you through understanding audio embeddings, implementing Amazon Nova Multimodal Embeddings, and building a practical search system for your audi

Author(s): FutureLens Originally published on Towards AI. Building AI-Ready Backends With Spring Boot in 2026 Modern applications are no longer just CRUD system

The first time I used Claude to help me write a FastAPI endpoint, I thought — okay, this is it. This is the thing that changes everything. And it did. Just not

Your AI coding assistant just generated a beautiful dashboard in 30 seconds. There's just one problem: it's showing static mock data. You need live data. Sensor

Cloudflare and ETH Zurich highlight how AI-driven crawler traffic challenges traditional caching in CDNs and databases. They propose AI-aware strategies includi

A lymph node–targeted delivery platform releases antibody therapy only in tumor-like conditions, strengthening immune attack on metastatic cancer.

I've been using AI coding agents — Claude Code, GitHub Copilot, Cursor — daily across 11 production microservices for the past year. They've transformed how I w

The tiniest manufacturing mistake can cause huge issues with your PC. Here's how to prevent it from happening.

Birgitta Böckeler discusses the rapid evolution of AI agents, moving beyond "vibe coding" to sophisticated context engineering. She explains how architectural c

Microsoft first started trying to get rid of the Control Panel in 2012, with the launch of Windows 8. More than a decade later, it's still working on migrating

A practical look at multi-model AI coding, from Grok and Claude to Codex and Gemini, and why one model is no longer enough.

arXiv:2604.05514v1 Announce Type: new Abstract: The paradigm of programmable diagram generation is evolving rapidly, playing a crucial role in structured visual

arXiv:2604.05839v1 Announce Type: new Abstract: Code generation with large language models often relies on multi-stage human-in-the-loop refinement, which is ef

arXiv:2604.04990v1 Announce Type: cross Abstract: AI coding agents select frameworks, scaffold infrastructure, and wire integrations, often in seconds. These ar

arXiv:2604.05039v1 Announce Type: cross Abstract: Humans have remarkable selective sensitivity to identities -- easily distinguishing between highly similar ide

arXiv:2604.05066v1 Announce Type: cross Abstract: Data movement is the primary bottleneck in modern computing systems. For loop-based programs common in high-pe

arXiv:2604.05182v1 Announce Type: cross Abstract: We introduce the Large Sparse Reconstruction Model to study how scaling transformer context windows impacts fe

arXiv:2604.05366v1 Announce Type: cross Abstract: Every existing method for compressing 3D Gaussian Splatting, NeRF, or transformer-based 3D reconstructors requ

arXiv:2604.05436v1 Announce Type: cross Abstract: Reconstructing textured 3D human models from a single image is fundamental for AR/VR and digital human applica

arXiv:2604.05616v1 Announce Type: cross Abstract: Deep learning models for computer vision often suffer from poor generalization when deployed in real-world set

arXiv:2604.05620v1 Announce Type: cross Abstract: Medical image segmentation driven by free-text clinical instructions is a critical frontier in computer-aided

arXiv:2604.05743v1 Announce Type: cross Abstract: Modern image compression methods are typically optimized for the rate--distortion--perception trade-off, where

arXiv:2604.06074v1 Announce Type: cross Abstract: Achieving fine-grained and structurally sound controllability is a cornerstone of advanced visual generation.

arXiv:2604.06161v1 Announce Type: cross Abstract: Most digital videos are stored in 8-bit low dynamic range (LDR) formats, where much of the original high dynam

arXiv:2506.18601v2 Announce Type: replace-cross Abstract: Transforming casually captured, monocular videos into fully immersive dynamic experiences is a highly

arXiv:2507.22418v3 Announce Type: replace-cross Abstract: Quantifying aleatoric uncertainty in medical image segmentation is critical since it is a reflection o

arXiv:2601.22581v2 Announce Type: replace-cross Abstract: Although cross-domain few-shot learning (CDFSL) for hyper-spectral image (HSI) classification has attr

arXiv:2602.00104v2 Announce Type: replace-cross Abstract: Vision-centric retrieval for VQA requires retrieving images to supply missing visual cues and integrat

arXiv:2604.01619v2 Announce Type: replace-cross Abstract: Morphological traits are physical characteristics of biological organisms that provide vital clues on

Tried using GitHub Copilot in Visual Studio 2026 to generate a full Agile sprint plan for rewriting a legacy application. Results: Codex Mini: Produced a vague,

arXiv:2604.03299v1 Announce Type: cross Abstract: 3D human pose estimation is a key enabling technology for applications such as healthcare monitoring, human-ro

arXiv:2604.03309v1 Announce Type: cross Abstract: 3D Gaussian Splatting (3DGS) has emerged as a real-time, differentiable representation for neural scene unders

arXiv:2604.03315v1 Announce Type: cross Abstract: Storyboarding is a core skill in visual storytelling for film, animation, and games. However, automating this

arXiv:2604.03321v1 Announce Type: cross Abstract: Machine learning, especially physics-informed neural networks (PINNs) and their neural network variants, has b

arXiv:2604.03454v1 Announce Type: cross Abstract: Rare diseases often manifest with distinctive facial phenotypes in children, offering valuable diagnostic cues

arXiv:2604.03526v1 Announce Type: cross Abstract: Existing \textbf{s}alient \textbf{o}bject \textbf{d}etection (SOD) methods adopt a \textbf{passive} visual sti

arXiv:2604.03551v1 Announce Type: cross Abstract: Software Engineering 3.0 marks a paradigm shift in software development, in which AI coding agents are no long

arXiv:2604.03587v1 Announce Type: cross Abstract: Reasoning language models (RLMs) are increasingly used in programming. Yet, even state-of-the-art RLMs frequen

arXiv:2604.03758v1 Announce Type: cross Abstract: Formal specification generation has recently drawn attention in software engineering as a way to improve progr

arXiv:2604.04080v1 Announce Type: cross Abstract: Recent advancements in computer vision, driven by artificial intelligence, have significantly enhanced monitor

arXiv:2604.04192v1 Announce Type: cross Abstract: We introduce GraphicDesignBench (GDB), the first comprehensive benchmark suite designed specifically to evalua

arXiv:2604.04331v1 Announce Type: cross Abstract: Reconstructing static 3D scene from monocular video with dynamic objects is important for numerous application

arXiv:2604.04474v1 Announce Type: cross Abstract: Deep learning-based approaches, particularly graph neural networks (GNNs), have gained prominence in simulatin

arXiv:2604.04527v1 Announce Type: cross Abstract: We present Encapsulated Substitution and Agentic Refinement on a Live Scaffold for Safe C-to-Rust Translation,

arXiv:2506.02794v3 Announce Type: replace-cross Abstract: We introduce PhysGaia, a novel physics-aware benchmark for Dynamic Novel View Synthesis (DyNVS) that e

arXiv:2506.19591v2 Announce Type: replace-cross Abstract: Cloud cover in multispectral imagery (MSI) poses significant challenges for early season crop mapping,

arXiv:2511.20814v2 Announce Type: replace-cross Abstract: We present Sphinx, a synthetic environment for visual perception and reasoning that targets core cogni