We propose an optimization-informed deep neural network approach, named iUzawa-Net, aiming for the first solver that enables real-time solutions for a class of ...
Real-time video generation with Diffusion Transformers is bottlenecked by the quadratic cost of 3D self-attention, especially in real-time regimes that are both...
Copyright law focuses on whether a new work is 'substantially similar' to an existing one, but generative AI can closely imitate style without copying content, ...
AI agents are increasingly used to solve real-world tasks by reasoning over multi-turn user interactions and invoking external tools. However, applying reinforc...
Self-supervised learning (SSL) is a powerful paradigm for learning from unlabeled time-series data. However, popular methods such as masked autoencoders (MAEs) ...
Diffusion large language models (DLLMs) have the potential to enable fast text generation by decoding multiple tokens in parallel. However, in practice, their i...
Explaining observed phenomena through symbolic, interpretable formulas is a fundamental goal of science. Recently, large language models (LLMs) have emerged as ...
We study Langevin dynamics with noise projected onto the directions orthogonal to an isometric group action. This mathematical model is introduced to shed new l...
We consider bidding in repeated Bayesian first-price auctions. Bidding algorithms that achieve optimal regret have been extensively studied, but their strategic...
The Problem with Traditional Approaches Traditional patent‑search methods face significant challenges when conducting comprehensive prior‑art analysis. Why trad...
Graph neural networks (GNNs) are designed to use attributed graphs to learn representations. Such representations are beneficial in the unsupervised learning of...
Despite speech recognition systems achieving low word error rates on standard benchmarks, they often fail on short, high-stakes utterances in real-world deploym...
Unstructured documents like PDFs contain valuable structured information, but downstream systems require this data in reliable, standardized formats. LLMs are i...
For the last two years, almost every organization has been asking the same question: > “How do we use AI?” And almost every answer has focused on: - models - to...
Latency-critical speech applications (e.g., live transcription, voice commands, and real-time translation) demand low time-to-first-token (TTFT) and high transc...
Data mixing -- determining the ratios of data from different domains -- is a first-order concern for training language models (LMs). While existing mixing metho...
Neuromorphic vision systems based on spiking neural networks (SNNs) offer ultra-low-power perception for event-based and frame-based cameras, yet catastrophic f...
Efficient long-context processing remains a crucial challenge for contemporary large language models (LLMs), especially in resource-constrained environments. So...
GPT‑5.3‑Codex‑Spark Research Preview We’re excited to release a research preview of GPT‑5.3‑Codex‑Spark, a smaller, real‑time‑oriented version of GPT‑5.3‑Codex...
Announcement On Thursday, OpenAI announced the release of a light‑weight version of its agentic coding tool Codex, the latest model of which OpenAI launched ea...
OpenAI Launches GPT‑5.3‑Codex‑Spark OpenAI on Thursday launched GPT‑5.3‑Codex‑Spark, a stripped‑down coding model engineered for near‑instantaneous response ti...
Supervised fine-tuning (SFT) is computationally efficient but often yields inferior generalization compared to reinforcement learning (RL). This gap is primaril...
We propose UniDFlow, a unified discrete flow-matching framework for multimodal understanding, generation, and editing. It decouples understanding and generation...
Current unified multimodal models for image generation and editing typically rely on massive parameter scales (e.g., >10B), entailing prohibitive training co...
Enterprise documents, such as forms and reports, embed critical information for downstream applications like data archiving, automated workflows, and analytics....
Over the past couple of years, something subtle but profound has happened in how we use AI as developers. At first, it lived in a browser tab. Now, it’s sitting...
AI models have achieved state-of-the-art results in textual reasoning; however, their ability to reason over spatial and relational structures remains a critica...
!https://www.androidauthority.com/wp-content/uploads/2024/02/Google-Gemini-logo-on-smartphone-stock-photo-7.jpg TL;DR - Google report claims one campaign sent o...
!https://9to5google.com/wp-content/uploads/sites/4/2026/02/Gemini-3-Deep-Think-update-cover-1.jpg?quality=82&strip=all&w=1600 Overview Deep Think is Gemini’s “s...
State-of-the-art generative image and video models rely heavily on tokenizers that compress high-dimensional inputs into more efficient latent representations. ...
Recent advancements in foundation models have revolutionized joint audio-video generation. However, existing approaches typically treat human-centric tasks incl...
High-quality 3D texture generation remains a fundamental challenge due to the view-inconsistency inherent in current mainstream multi-view diffusion pipelines. ...
AI coding agents are increasingly contributing to software development, yet their impact on mobile development has received little empirical attention. In this ...
When an AI agent visits a website, it’s essentially a tourist who doesn’t speak the local language Whether built on LangChain, Claude Code, or the increasingly...
Apple iOS 26.4 update: No Gemini‑powered Siri yet, report suggests Apple’s planned Gemini‑powered upgrade for Siri will not be ready for the upcoming iOS 26.4...
Our most specialized reasoning mode is now updated to solve modern science, research and engineering challenges....
Waymo will begin fully autonomous operations with its 6th‑generation Driver — an important step in bringing our technology to more riders in more cities. This l...
Tokenomics: Driving Down the Cost of Every AI Interaction A diagnostic insight in healthcare, a character’s dialogue in an interactive game, and an autonomous r...
Lowering the Cost of Inference A new analysis released Thursday by Nvidia shows that four leading inference providers are achieving 4×–10× reductions in cost p...
Overview Amazon engineers have been pushing backhttps://www.businessinsider.com/amazon-engineers-grate-against-internal-limits-claude-code-kiro-ai-2026-2 again...
Overview ByteDance, the China‑based company behind TikTok, announced its next‑gen video generator, Seedance 2.0, in a recent blog post. The model is designed t...
Model checking in TLA+ provides strong correctness guarantees, yet practitioners continue to face significant challenges in interpreting counterexamples, unders...
Vulnerability detection is crucial to protect software security. Nowadays, deep learning (DL) is the most promising technique to automate this detection task, l...
NVIDIA DGX Spark: Desktop Supercomputer for AI Research At leading institutions worldwide, the NVIDIA DGX Sparkhttps://www.nvidia.com/en-us/products/workstatio...
Turning Data Overload into Actionable Insight Organizations today are drowning in data—website traffic, ad impressions, conversion rates, and more. Yet decisio...
Multi-agent systems increasingly orchestrate multiple specialized language models to solve complex real-world problems, often invoking them over a shared contex...
!Claude's free tier now connects to apps, can create Microsoft Office documents, and more | Claude promo graphichttps://9to5mac.com/wp-content/uploads/sites/6/2...
