Long-sequence streaming 3D reconstruction remains a significant open challenge. Existing autoregressive models often fail when processing long sequences. They t...
With the advancement of face recognition (FR) systems, privacy-preserving face recognition (PPFR) systems have gained popularity for their accurate recognition,...
This paper presents a hybrid obstacle avoidance architecture that integrates Optimal Control under clearance with a Fuzzy Rule Based System (FRBS) to enable ada...
Large language models (LLMs) now sit in the critical path of search, assistance, and agentic workflows, making semantic caching essential for reducing inference...
Rapidly evolving cyberattacks demand incident response systems that can autonomously learn and adapt to changing threats. Prior work has extensively explored th...
There has been a growing interest in using neural networks, especially message-passing neural networks (MPNNs), to solve hard combinatorial optimization problem...
Large Language Model (LLM) unlearning aims to remove targeted knowledge from a trained model, but practical deployments often require post-training quantization...
Graph neural network (GNN) potentials such as SchNet improve the accuracy and transferability of molecular dynamics (MD) simulation by learning many-body intera...
Language identification (LID) is an essential step in building high-quality multilingual datasets from web data. Existing LID tools (such as OpenLID or GlotLID)...
Template-free retrosynthesis methods treat the task as black-box sequence generation, limiting learning efficiency, while semi-template approaches rely on rigid...
Assumption-based Argumentation (ABA) is a well-established form of structured argumentation. ABA frameworks with an underlying atomic language are widely studie...
Binary Neural Networks (BNNs) offer a low-complexity and energy-efficient alternative to traditional full-precision neural networks by constraining their weight...
Living languages are shaped by a host of conflicting internal and external evolutionary pressures. While some of these pressures are universal across languages ...
Large language models (LLMs) are increasingly used as judges to replace costly human preference labels in pairwise evaluation. Despite their practicality, LLM j...
In recent years, there has been growing interest in understanding neural architectures' ability to learn to execute discrete algorithms, a line of work often re...
Using NLP to analyze authentic learner language helps to build automated assessment and feedback tools. It also offers new and extensive insights into the devel...
Large reasoning models with reasoning capabilities achieve state-of-the-art performance on complex tasks, but their robustness under multi-turn adversarial pres...
Detecting anomalies in images and video is an essential task for multiple real-world problems, including industrial inspection, computer-assisted diagnosis, and...
The distinction between genuine grassroots activism and automated influence operations is collapsing. While policy debates focus on bot farms, a distinct threat...
Competency modeling is widely used in human resource management to select, develop, and evaluate talent. However, traditional expert-driven approaches rely heav...
Memory-efficient backpropagation (MeBP) has enabled first-order fine-tuning of large language models (LLMs) on mobile devices with less than 1GB memory. However...
This paper presents a novel approach, Spectral-Interpretable and -Enhanced Transformer (SIEFormer), which leverages spectral analysis to reinterpret the attenti...
Image generative models are known to duplicate images from the training data as part of their outputs, which can lead to privacy concerns when used for medical ...
In this paper, we present a unified framework for various bio-inspired models to better understand their structural and functional differences. We show that liq...
Jhana advanced concentration absorption meditation (ACAM-J) is related to profound changes in consciousness and cognitive processing, making the study of their ...
Understanding how and why large language models (LLMs) fail is becoming a central challenge as models rapidly evolve and static evaluations fall behind. While a...
Event stream-based Visual Place Recognition (VPR) is an emerging research direction that offers a compelling solution to the instability of conventional visible...
As self-driving technology advances toward widespread adoption, determining safe operational thresholds across varying environmental conditions becomes critical...
Article URL: http://qualify.gauntletAI.com Comments URL: https://news.ycombinator.com/item?id=47001968 Points: 0 Comments: 0...
EVA AI created a pop-up romantic date night at a Manhattan wine bar to help make AI‑human relationships a “new normal.”...
!OpenAI-Cerealis herohttps://cdn.mos.cms.futurecdn.net/3RxgZNHyDXJGF2AYGg6sBo.png Image credit: OpenAI Release Overview OpenAI on Thursday released GPT‑5.3‑Code...
Recaptioning: Engineering High-Quality Descriptions for Multi‑modal Models 🚀 In multi‑modal AI, we often face the “Garbage In, Garbage Out” problem: scraped im...
The explainable AI (XAI) research community has proposed numerous technical methods, yet deploying explainability as systems remains challenging: Interactive ex...
Cleaned Markdown markdown !Cover image for From Data to Decisions: How Augmented Analytics is Transforming Businesshttps://media2.dev.to/dynamic/image/width=100...
About the Project We're building training data for humanoid robots by collecting egocentric video of people doing everyday tasks. The Role Wear a phone mounted...
!https://www.androidauthority.com/wp-content/uploads/2022/02/Google-Docs-website-stock-photo-1.jpg TL;DR - Google Docs is getting a new Audio Summaries feature...
Running Your Own AI Assistant with OpenClaw & Discord The idea of running your own AI assistant used to sound like something reserved for research labs or larg...
!https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprof...
AI safety leader says 'world is in peril' and quits to study poetry An AI safety researcher has quit US firm Anthropic with a cryptic warning that the “world i...
markdown JAN. 5, 2026 Brian Kanghttps://developers.googleblog.com/search/?author=Brian+Kang Senior Staff – Field Solutions Architect AI Infrastructure JAX on Cl...
In September 2025 we introduced the Data Commons Model Context Protocol MCP serverhttps://developers.googleblog.com/en/datacommonsmcp/ to provide a standard way...
들어가며 안녕하세요. LINE NEXT DevOps 팀에서 일하고 있는 이동원입니다. 저는 쿠버네티스 기반 인프라 운영과 CI/CD 구축, 모니터링 및 장애 대응 등 인프라 운영 관......
!https://9to5google.com/wp-content/uploads/sites/4/2026/02/Google-Docs-audio-summaries-1-1.jpg?quality=82&strip=all&w=1110 After introducing text-to-speechhttps...
ChatGPT has taken the world by storm, but it is not the only player in the AI chatbot space. This article explores the top ChatGPT alternatives that offer uniqu...
markdown !Cover image for Beyond the Buzzwords: Context, Prompts, and Toolshttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,form...
markdown FunctionGemma: Fine‑tuning for Tool Selection Ambiguity January 16, 2026 In the world of Agentic AI, the ability to call tools is what translates natur...
!https://cdn.platum.kr/wp-content/uploads/2026/02/unnamed-6-1024x768.jpg Overview 글로벌 AI 코딩 에디터 커서Cursor의 공식 커뮤니티가 서울에서 첫 해커톤을 열었다. 사전 신청에 250여 명이 몰렸으며, 선발된 26개...
!https://cdn.platum.kr/wp-content/uploads/2026/02/n-1024x576.jpg 프로젝트 개요 엔닷라이트는 ‘피지컬 AI 모델 학습을 위한 월드 파운데이션 모델 기술개발’ 과제에 공동연구 개발기관으로 참여한다. 이번 과제는 NC AI가 주관하고 엔닷라...
