!https://cdn.platum.kr/wp-content/uploads/2026/04/image-1-1024x578.jpg 논문 채택 및 주요 내용 엔터프라이즈 AI 플랫폼 기업 올거나이즈가 자연어처리 분야 세계 최고 권위 학회인 ACLAssociation for Computatio...

The Problem: 50 % Task Completion Rate Every AI‑agent demo looks impressive—until you actually depend on one. The 50 % task‑completion rate you’ve quietly acce...

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In the rapidly evolving landscape of large language models LLMs, pre‑training is only the first step. To transform a base model into a specialized assistant or...

Testing universal jailbreaks for biorisks in GPT‑5.5 As part of our ongoing efforts to strengthen safeguards for advanced AI capabilities in biology, we’re intr...

Current blockchain Layer 2 solutions, including Optimism, Arbitrum, zkSync, and their derivatives, optimize for human-initiated financial transactions. Autonomo...

Enterprise Teams & Multi‑Agent AI: Are You Paying a Compute Premium? Key takeaway: When the “thinking token” budget is held constant, single‑agent systems matc...

OpenAI is giving users of its Business, Enterprise, Edu, and Teachers plans access to cloud‑based “workspace” agents available in ChatGPT that can perform busin...

An AI trained on 13,000 virtual worlds just projected our renewable energy futurehttps://www.anthropocenemagazine.org/2026/04/an-ai-trained-on-13000-virtual-wor...

!Google AI codinghttps://www.androidauthority.com/wp-content/uploads/2026/04/gemini-mac-app-home-page-hero-scaled.jpg TL;DR - A new report claims Google views A...

Confidence is persuasive. In artificial intelligence systems, it is often misleading. Background Today's most capable reasoning models share a trait with the lo...

The cyber capabilities of AI models have experts rattled. AI’s social skills may be just as dangerous....

Paralinguistic cues are essential for natural human-computer interaction, yet their evaluation in Large Audio-Language Models (LALMs) remains limited by coarse ...

Recent advances in video generative models enable the synthesis of realistic human-object interaction videos across a wide range of scenarios and object categor...

Modern language models demonstrate impressive coding capabilities in common programming languages (PLs), such as C++ and Python, but their performance in lower-...

As artificial intelligence (AI) systems are increasingly deployed across critical domains, their security vulnerabilities pose growing risks of high-profile exp...

Federated learning (FL) enables collaborative model training without sharing raw data; however, the presence of noisy labels across distributed clients can seve...

The central problem in biomedical imaging are batch effects: systematic technical variations unrelated to the biological signal of interest. These batch effects...

The offshore wind energy sector is expanding rapidly, increasing the need for independent, high-temporal-resolution monitoring of infrastructure deployment and ...

The scalability of long-context large language models is fundamentally limited by the quadratic memory cost of exact self-attention, which often leads to out-of...

Language models trained on natural text learn to represent numbers using periodic features with dominant periods at T=2, 5, 10. In this paper, we identify a two...

Reinforcement Learning (RL) post-training has become the standard for aligning generative models with human preferences, yet most methods rely on a single scala...

Transformer-based OCR models have shown strong performance on Latin and CJK scripts, but their application to African syllabic writing systems remains limited. ...

As LLMs are increasingly integrated into agentic systems, they must adhere to dynamically defined, machine-interpretable interfaces. We evaluate LLMs as in-cont...

Large vision-language models (LVLMs) have made substantial advances in reasoning tasks at the Olympiad level. Nevertheless, current Olympiad-level multimodal re...

The value alignment problem for artificial intelligence (AI) is often framed as a purely technical or normative challenge, sometimes focused on hypothetical fut...

Reconstructing 3D Human-Object Interaction from an RGB image is essential for perceptive systems. Yet, this remains challenging as it requires capturing the sub...

Local gauge symmetry underlies fundamental interactions and strongly correlated quantum matter, yet existing machine-learning approaches lack a general, princip...

We present LLaDA2.0-Uni, a unified discrete diffusion large language model (dLLM) that supports multimodal understanding and generation within a natively integr...

This paper presents a hybrid architecture for intelligent systems in which large language models (LLMs) are extended with an external ontological memory layer. ...

Large Language Models (LLMs) are increasingly deployed in healthcare, yet their communicative alignment with clinical standards remains insufficiently quantifie...

We investigate the integration of human-like working memory constraints into the Transformer architecture and implement several cognitively inspired attention v...

Reconstructing dynamic 3D scenes from sparse multi-view videos is highly ill-posed, often leading to geometric collapse, trajectory drift, and floating artifact...

Internal ice layers imaged by radar provide key evidence of snow accumulation and ice dynamics, but radar-derived layer boundary observations are often incomple...

AI coding agents are being adopted at scale, yet we lack empirical evidence on how people actually use them and how much of their output is useful in practice. ...

Posted: 9:58 AM PDT · April 22, 2026 !Google Cloud Next announcementhttps://techcrunch.com/wp-content/uploads/2026/04/GettyImages-2266466589.jpg?w=1024 Image Cr...

Space-time self-similarity (STSS), which captures visual correspondences across frames, provides an effective way to represent temporal dynamics for video under...

We introduce a benchmark dataset for question answering and translation in bilingual Latin and English settings, containing about 7,800 question-answer pairs. T...

OpenAI this week introduced ChatGPT Images 2.0, which the company says brings a new era of image generation. Images 2.0 is an updated model that can better hand...

Freight brokerages negotiate thousands of carrier rates daily under dynamic pricing conditions where models frequently revise targets mid-conversation. Classica...

This paper presents the hybrid solver for a CO_2 sequestration problem. The solver uses the IGA-ADS (IsoGeometric Analysis Alternating Directions solver) to com...

This work explores the role of prompt design and judge selection in LLM-as-a-Judge evaluations of free text legal question answering. We examine whether automat...

When startup fundraising platform VentureCrowd began deploying AI coding agents, they saw the same gains as other enterprises: they cut the front‑end developmen...

With the growing synergy between deep learning and quantum computing, Quantum Neural Networks (QNNs) have emerged as a promising paradigm by leveraging quantum ...

The Prompt Problem If you've spent any time playing with generative AI for visuals, you know the struggle. You have a vision—maybe it's a product shot for a ne...

5B • Updated 10 days ago • 112k • 60 /ggml-org/gemma-4-E2B-it-GGUF...

We present a biologically detailed extension of the classical Hopfield/Marr auto-associative memory model for CA3, implementing ten populations (two asymmetric ...

Overview Meta is now using employee activity on work computers to train its AI agents. According to Reuters, the company is deploying a tool called Model Capab...